Untitled9.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [],
   "source": [
    "#without average acceleration\n",
    "x={\"Width\":[],\"Height\":[],\"X-Speed\":[],\"Y-Speed\":[],\"Pressure\":[],\"Max Pressure\":[],\"Time\":[],\"Azimuth\":[],\"Type\":[]}\n",
    "\n",
    "for j in range(1,41):\n",
    "    for i in range(1,41):\n",
    "        df = pd.read_csv('Task2/U'+str(j)+'S'+str(i)+'.txt', sep=' ',\n",
    "                           names=[\"X-coordinate\", \"Y-coordinate\",\"Time stamp\",\"Button status\",\"Azimuth\",\"Altitude\",\"Pressure\"])\n",
    "        df.dropna(axis=0,inplace=True)\n",
    "        mn=df[\"Time stamp\"].min()\n",
    "        mx=df[\"Time stamp\"].max()\n",
    "        time=mx-mn\n",
    "        width=df[\"X-coordinate\"].max()-df[\"X-coordinate\"].min()\n",
    "        height=df[\"Y-coordinate\"].max()-df[\"Y-coordinate\"].min()\n",
    "        xdis=len(df[\"X-coordinate\"])\n",
    "        ydis=len(df[\"Y-coordinate\"])\n",
    "        xd=df.iloc[xdis-1][\"X-coordinate\"]-df.iloc[0][\"X-coordinate\"]\n",
    "        yd=df.iloc[ydis-1][\"Y-coordinate\"]-df.iloc[0][\"Y-coordinate\"]\n",
    "        velX=xd/time\n",
    "        velY=yd/time\n",
    "        pressure=df[\"Pressure\"].mean()\n",
    "        mp=df[\"Pressure\"].max()\n",
    "        azimuth=df[\"Azimuth\"].mean()\n",
    "        sigtype=0\n",
    "        if(i>20):\n",
    "            sigtype=1\n",
    "        x[\"Width\"].append(width)\n",
    "        x[\"Height\"].append(height)\n",
    "        x[\"X-Speed\"].append(velX)\n",
    "        x[\"Y-Speed\"].append(velY)\n",
    "        x[\"Pressure\"].append(pressure)\n",
    "        x[\"Max Pressure\"].append(mp)\n",
    "        x[\"Time\"].append(time)\n",
    "        x[\"Type\"].append(sigtype)\n",
    "        x[\"Azimuth\"].append(azimuth)\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>X-coordinate</th>\n",
       "      <th>Y-coordinate</th>\n",
       "      <th>Time stamp</th>\n",
       "      <th>Button status</th>\n",
       "      <th>Azimuth</th>\n",
       "      <th>Altitude</th>\n",
       "      <th>Pressure</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5382</td>\n",
       "      <td>6473.0</td>\n",
       "      <td>1289624.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1220.0</td>\n",
       "      <td>480.0</td>\n",
       "      <td>76.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5416</td>\n",
       "      <td>6442.0</td>\n",
       "      <td>1289634.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1230.0</td>\n",
       "      <td>490.0</td>\n",
       "      <td>149.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5441</td>\n",
       "      <td>6478.0</td>\n",
       "      <td>1289644.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1230.0</td>\n",
       "      <td>490.0</td>\n",
       "      <td>214.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5406</td>\n",
       "      <td>6465.0</td>\n",
       "      <td>1289654.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1230.0</td>\n",
       "      <td>490.0</td>\n",
       "      <td>289.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5330</td>\n",
       "      <td>6431.0</td>\n",
       "      <td>1289664.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1250.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>361.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>7849</td>\n",
       "      <td>4034.0</td>\n",
       "      <td>1291755.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1530.0</td>\n",
       "      <td>690.0</td>\n",
       "      <td>777.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>7628</td>\n",
       "      <td>3815.0</td>\n",
       "      <td>1291765.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1510.0</td>\n",
       "      <td>680.0</td>\n",
       "      <td>784.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>7419</td>\n",
       "      <td>3628.0</td>\n",
       "      <td>1291775.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1510.0</td>\n",
       "      <td>680.0</td>\n",
       "      <td>768.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>7240</td>\n",
       "      <td>3502.0</td>\n",
       "      <td>1291785.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1480.0</td>\n",
       "      <td>680.0</td>\n",
       "      <td>665.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>7075</td>\n",
       "      <td>3407.0</td>\n",
       "      <td>1291795.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1470.0</td>\n",
       "      <td>690.0</td>\n",
       "      <td>272.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>209 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     X-coordinate  Y-coordinate  Time stamp  Button status  Azimuth  Altitude  \\\n",
       "1            5382        6473.0   1289624.0            0.0   1220.0     480.0   \n",
       "2            5416        6442.0   1289634.0            1.0   1230.0     490.0   \n",
       "3            5441        6478.0   1289644.0            1.0   1230.0     490.0   \n",
       "4            5406        6465.0   1289654.0            1.0   1230.0     490.0   \n",
       "5            5330        6431.0   1289664.0            1.0   1250.0     500.0   \n",
       "..            ...           ...         ...            ...      ...       ...   \n",
       "205          7849        4034.0   1291755.0            1.0   1530.0     690.0   \n",
       "206          7628        3815.0   1291765.0            1.0   1510.0     680.0   \n",
       "207          7419        3628.0   1291775.0            1.0   1510.0     680.0   \n",
       "208          7240        3502.0   1291785.0            1.0   1480.0     680.0   \n",
       "209          7075        3407.0   1291795.0            1.0   1470.0     690.0   \n",
       "\n",
       "     Pressure  \n",
       "1        76.0  \n",
       "2       149.0  \n",
       "3       214.0  \n",
       "4       289.0  \n",
       "5       361.0  \n",
       "..        ...  \n",
       "205     777.0  \n",
       "206     784.0  \n",
       "207     768.0  \n",
       "208     665.0  \n",
       "209     272.0  \n",
       "\n",
       "[209 rows x 7 columns]"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [],
   "source": [
    "x1={\"Average Acceleration\":[]}\n",
    "\n",
    "for j in range(1,41):\n",
    "    for i in range(1,41):\n",
    "        df = pd.read_csv('Task2/U'+str(j)+'S'+str(i)+'.txt', sep=' ',\n",
    "                           names=[\"X-coordinate\", \"Y-coordinate\",\"Time stamp\",\"Button status\",\"Azimuth\",\"Altitude\",\"Pressure\"])\n",
    "        df.dropna(axis=0,inplace=True)\n",
    "        vel=[]\n",
    "        time=[]\n",
    "        prevdisp=df[\"X-coordinate\"][1]\n",
    "        prevtime=df[\"Time stamp\"][1]\n",
    "        for k in range(2,len(df+1)):\n",
    "            currdisp=(df[\"X-coordinate\"][k])\n",
    "            currtime=abs(df[\"Time stamp\"][k])\n",
    "\n",
    "            if(currtime-prevtime != 0):\n",
    "                vel.append((currdisp-prevdisp)/(currtime-prevtime))\n",
    "                time.append(currtime-prevtime)\n",
    "                prevdisp=currdisp\n",
    "                prevtime=currtime\n",
    "    \n",
    "        x1[\"Average Acceleration\"].append(sum(vel)/sum(time))\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>X-coordinate</th>\n",
       "      <th>Y-coordinate</th>\n",
       "      <th>Time stamp</th>\n",
       "      <th>Button status</th>\n",
       "      <th>Azimuth</th>\n",
       "      <th>Altitude</th>\n",
       "      <th>Pressure</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5382</td>\n",
       "      <td>6473.0</td>\n",
       "      <td>1289624.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1220.0</td>\n",
       "      <td>480.0</td>\n",
       "      <td>76.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5416</td>\n",
       "      <td>6442.0</td>\n",
       "      <td>1289634.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1230.0</td>\n",
       "      <td>490.0</td>\n",
       "      <td>149.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5441</td>\n",
       "      <td>6478.0</td>\n",
       "      <td>1289644.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1230.0</td>\n",
       "      <td>490.0</td>\n",
       "      <td>214.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5406</td>\n",
       "      <td>6465.0</td>\n",
       "      <td>1289654.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1230.0</td>\n",
       "      <td>490.0</td>\n",
       "      <td>289.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5330</td>\n",
       "      <td>6431.0</td>\n",
       "      <td>1289664.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1250.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>361.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>7849</td>\n",
       "      <td>4034.0</td>\n",
       "      <td>1291755.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1530.0</td>\n",
       "      <td>690.0</td>\n",
       "      <td>777.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>7628</td>\n",
       "      <td>3815.0</td>\n",
       "      <td>1291765.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1510.0</td>\n",
       "      <td>680.0</td>\n",
       "      <td>784.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>7419</td>\n",
       "      <td>3628.0</td>\n",
       "      <td>1291775.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1510.0</td>\n",
       "      <td>680.0</td>\n",
       "      <td>768.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>7240</td>\n",
       "      <td>3502.0</td>\n",
       "      <td>1291785.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1480.0</td>\n",
       "      <td>680.0</td>\n",
       "      <td>665.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>7075</td>\n",
       "      <td>3407.0</td>\n",
       "      <td>1291795.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1470.0</td>\n",
       "      <td>690.0</td>\n",
       "      <td>272.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>209 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     X-coordinate  Y-coordinate  Time stamp  Button status  Azimuth  Altitude  \\\n",
       "1            5382        6473.0   1289624.0            0.0   1220.0     480.0   \n",
       "2            5416        6442.0   1289634.0            1.0   1230.0     490.0   \n",
       "3            5441        6478.0   1289644.0            1.0   1230.0     490.0   \n",
       "4            5406        6465.0   1289654.0            1.0   1230.0     490.0   \n",
       "5            5330        6431.0   1289664.0            1.0   1250.0     500.0   \n",
       "..            ...           ...         ...            ...      ...       ...   \n",
       "205          7849        4034.0   1291755.0            1.0   1530.0     690.0   \n",
       "206          7628        3815.0   1291765.0            1.0   1510.0     680.0   \n",
       "207          7419        3628.0   1291775.0            1.0   1510.0     680.0   \n",
       "208          7240        3502.0   1291785.0            1.0   1480.0     680.0   \n",
       "209          7075        3407.0   1291795.0            1.0   1470.0     690.0   \n",
       "\n",
       "     Pressure  \n",
       "1        76.0  \n",
       "2       149.0  \n",
       "3       214.0  \n",
       "4       289.0  \n",
       "5       361.0  \n",
       "..        ...  \n",
       "205     777.0  \n",
       "206     784.0  \n",
       "207     768.0  \n",
       "208     665.0  \n",
       "209     272.0  \n",
       "\n",
       "[209 rows x 7 columns]"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Width</th>\n",
       "      <th>Height</th>\n",
       "      <th>X-Speed</th>\n",
       "      <th>Y-Speed</th>\n",
       "      <th>Pressure</th>\n",
       "      <th>Max Pressure</th>\n",
       "      <th>Time</th>\n",
       "      <th>Azimuth</th>\n",
       "      <th>Type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5333</td>\n",
       "      <td>3641.0</td>\n",
       "      <td>3.241749</td>\n",
       "      <td>-0.165842</td>\n",
       "      <td>628.464286</td>\n",
       "      <td>837.0</td>\n",
       "      <td>1212.0</td>\n",
       "      <td>1407.142857</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5327</td>\n",
       "      <td>3434.0</td>\n",
       "      <td>3.348154</td>\n",
       "      <td>-0.484899</td>\n",
       "      <td>600.964706</td>\n",
       "      <td>802.0</td>\n",
       "      <td>1192.0</td>\n",
       "      <td>1452.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5238</td>\n",
       "      <td>3700.0</td>\n",
       "      <td>3.027734</td>\n",
       "      <td>-0.614105</td>\n",
       "      <td>587.333333</td>\n",
       "      <td>809.0</td>\n",
       "      <td>1262.0</td>\n",
       "      <td>1448.111111</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5301</td>\n",
       "      <td>3577.0</td>\n",
       "      <td>2.777870</td>\n",
       "      <td>-1.039101</td>\n",
       "      <td>607.670732</td>\n",
       "      <td>837.0</td>\n",
       "      <td>1202.0</td>\n",
       "      <td>1343.902439</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4208</td>\n",
       "      <td>3615.0</td>\n",
       "      <td>2.086538</td>\n",
       "      <td>-0.443787</td>\n",
       "      <td>540.215054</td>\n",
       "      <td>832.0</td>\n",
       "      <td>1352.0</td>\n",
       "      <td>1461.397849</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1595</th>\n",
       "      <td>5750</td>\n",
       "      <td>4427.0</td>\n",
       "      <td>0.887359</td>\n",
       "      <td>-1.139477</td>\n",
       "      <td>737.482353</td>\n",
       "      <td>944.0</td>\n",
       "      <td>2832.0</td>\n",
       "      <td>1479.490196</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1596</th>\n",
       "      <td>5503</td>\n",
       "      <td>3903.0</td>\n",
       "      <td>0.662179</td>\n",
       "      <td>-1.182783</td>\n",
       "      <td>748.063927</td>\n",
       "      <td>944.0</td>\n",
       "      <td>2451.0</td>\n",
       "      <td>1447.488584</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1597</th>\n",
       "      <td>5428</td>\n",
       "      <td>3370.0</td>\n",
       "      <td>0.819451</td>\n",
       "      <td>-1.032868</td>\n",
       "      <td>710.242424</td>\n",
       "      <td>951.0</td>\n",
       "      <td>2221.0</td>\n",
       "      <td>1488.434343</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1598</th>\n",
       "      <td>5572</td>\n",
       "      <td>3974.0</td>\n",
       "      <td>0.832508</td>\n",
       "      <td>-1.343089</td>\n",
       "      <td>641.257732</td>\n",
       "      <td>849.0</td>\n",
       "      <td>2221.0</td>\n",
       "      <td>1466.958763</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1599</th>\n",
       "      <td>5087</td>\n",
       "      <td>3939.0</td>\n",
       "      <td>0.779825</td>\n",
       "      <td>-1.412252</td>\n",
       "      <td>674.784689</td>\n",
       "      <td>830.0</td>\n",
       "      <td>2171.0</td>\n",
       "      <td>1389.856459</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1600 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Width  Height   X-Speed   Y-Speed    Pressure  Max Pressure    Time  \\\n",
       "0      5333  3641.0  3.241749 -0.165842  628.464286         837.0  1212.0   \n",
       "1      5327  3434.0  3.348154 -0.484899  600.964706         802.0  1192.0   \n",
       "2      5238  3700.0  3.027734 -0.614105  587.333333         809.0  1262.0   \n",
       "3      5301  3577.0  2.777870 -1.039101  607.670732         837.0  1202.0   \n",
       "4      4208  3615.0  2.086538 -0.443787  540.215054         832.0  1352.0   \n",
       "...     ...     ...       ...       ...         ...           ...     ...   \n",
       "1595   5750  4427.0  0.887359 -1.139477  737.482353         944.0  2832.0   \n",
       "1596   5503  3903.0  0.662179 -1.182783  748.063927         944.0  2451.0   \n",
       "1597   5428  3370.0  0.819451 -1.032868  710.242424         951.0  2221.0   \n",
       "1598   5572  3974.0  0.832508 -1.343089  641.257732         849.0  2221.0   \n",
       "1599   5087  3939.0  0.779825 -1.412252  674.784689         830.0  2171.0   \n",
       "\n",
       "          Azimuth  Type  \n",
       "0     1407.142857     0  \n",
       "1     1452.000000     0  \n",
       "2     1448.111111     0  \n",
       "3     1343.902439     0  \n",
       "4     1461.397849     0  \n",
       "...           ...   ...  \n",
       "1595  1479.490196     1  \n",
       "1596  1447.488584     1  \n",
       "1597  1488.434343     1  \n",
       "1598  1466.958763     1  \n",
       "1599  1389.856459     1  \n",
       "\n",
       "[1600 rows x 9 columns]"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(x)\n",
    "dfaz=df\n",
    "dfaz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfacc=df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [],
   "source": [
    "avg=pd.DataFrame(x1[\"Average Acceleration\"],columns=[\"Acceleration\"])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfacc[\"Acceleration\"]=avg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfacc=dfacc.drop([\"Type\"],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Width</th>\n",
       "      <th>Height</th>\n",
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       "      <td>3700.0</td>\n",
       "      <td>3.027734</td>\n",
       "      <td>-0.614105</td>\n",
       "      <td>587.333333</td>\n",
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       "      <td>-1.039101</td>\n",
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       "      <td>837.0</td>\n",
       "      <td>1202.0</td>\n",
       "      <td>1343.902439</td>\n",
       "      <td>0.502355</td>\n",
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       "      <th>4</th>\n",
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       "      <td>2.086538</td>\n",
       "      <td>-0.443787</td>\n",
       "      <td>540.215054</td>\n",
       "      <td>832.0</td>\n",
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       "      <td>-1.139477</td>\n",
       "      <td>737.482353</td>\n",
       "      <td>944.0</td>\n",
       "      <td>2832.0</td>\n",
       "      <td>1479.490196</td>\n",
       "      <td>0.007893</td>\n",
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       "    <tr>\n",
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       "      <td>1447.488584</td>\n",
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       "      <td>1488.434343</td>\n",
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       "      Width  Height   X-Speed   Y-Speed    Pressure  Max Pressure    Time  \\\n",
       "0      5333  3641.0  3.241749 -0.165842  628.464286         837.0  1212.0   \n",
       "1      5327  3434.0  3.348154 -0.484899  600.964706         802.0  1192.0   \n",
       "2      5238  3700.0  3.027734 -0.614105  587.333333         809.0  1262.0   \n",
       "3      5301  3577.0  2.777870 -1.039101  607.670732         837.0  1202.0   \n",
       "4      4208  3615.0  2.086538 -0.443787  540.215054         832.0  1352.0   \n",
       "...     ...     ...       ...       ...         ...           ...     ...   \n",
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       "1596   5503  3903.0  0.662179 -1.182783  748.063927         944.0  2451.0   \n",
       "1597   5428  3370.0  0.819451 -1.032868  710.242424         951.0  2221.0   \n",
       "1598   5572  3974.0  0.832508 -1.343089  641.257732         849.0  2221.0   \n",
       "1599   5087  3939.0  0.779825 -1.412252  674.784689         830.0  2171.0   \n",
       "\n",
       "          Azimuth  Acceleration  \n",
       "0     1407.142857      0.436134  \n",
       "1     1452.000000      0.491815  \n",
       "2     1448.111111      0.564077  \n",
       "3     1343.902439      0.502355  \n",
       "4     1461.397849      0.391927  \n",
       "...           ...           ...  \n",
       "1595  1479.490196      0.007893  \n",
       "1596  1447.488584     -0.025665  \n",
       "1597  1488.434343     -0.042554  \n",
       "1598  1466.958763     -0.033884  \n",
       "1599  1389.856459      0.009764  \n",
       "\n",
       "[1600 rows x 9 columns]"
      ]
     },
     "execution_count": 164,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#with acceleration\n",
    "dfacc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [],
   "source": [
    "y=pd.DataFrame(dfaz[\"Type\"],columns=[\"Type\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfaz=dfaz.drop([\"Type\"],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfaz.drop([\"Acceleration\"],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>607.670732</td>\n",
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       "      <td>1202.0</td>\n",
       "      <td>1343.902439</td>\n",
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       "      <th>4</th>\n",
       "      <td>4208</td>\n",
       "      <td>3615.0</td>\n",
       "      <td>2.086538</td>\n",
       "      <td>-0.443787</td>\n",
       "      <td>540.215054</td>\n",
       "      <td>832.0</td>\n",
       "      <td>1352.0</td>\n",
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       "      <td>-1.139477</td>\n",
       "      <td>737.482353</td>\n",
       "      <td>944.0</td>\n",
       "      <td>2832.0</td>\n",
       "      <td>1479.490196</td>\n",
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       "      <td>-1.182783</td>\n",
       "      <td>748.063927</td>\n",
       "      <td>944.0</td>\n",
       "      <td>2451.0</td>\n",
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       "      <td>-1.032868</td>\n",
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       "      <td>2171.0</td>\n",
       "      <td>1389.856459</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1600 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Width  Height   X-Speed   Y-Speed    Pressure  Max Pressure    Time  \\\n",
       "0      5333  3641.0  3.241749 -0.165842  628.464286         837.0  1212.0   \n",
       "1      5327  3434.0  3.348154 -0.484899  600.964706         802.0  1192.0   \n",
       "2      5238  3700.0  3.027734 -0.614105  587.333333         809.0  1262.0   \n",
       "3      5301  3577.0  2.777870 -1.039101  607.670732         837.0  1202.0   \n",
       "4      4208  3615.0  2.086538 -0.443787  540.215054         832.0  1352.0   \n",
       "...     ...     ...       ...       ...         ...           ...     ...   \n",
       "1595   5750  4427.0  0.887359 -1.139477  737.482353         944.0  2832.0   \n",
       "1596   5503  3903.0  0.662179 -1.182783  748.063927         944.0  2451.0   \n",
       "1597   5428  3370.0  0.819451 -1.032868  710.242424         951.0  2221.0   \n",
       "1598   5572  3974.0  0.832508 -1.343089  641.257732         849.0  2221.0   \n",
       "1599   5087  3939.0  0.779825 -1.412252  674.784689         830.0  2171.0   \n",
       "\n",
       "          Azimuth  \n",
       "0     1407.142857  \n",
       "1     1452.000000  \n",
       "2     1448.111111  \n",
       "3     1343.902439  \n",
       "4     1461.397849  \n",
       "...           ...  \n",
       "1595  1479.490196  \n",
       "1596  1447.488584  \n",
       "1597  1488.434343  \n",
       "1598  1466.958763  \n",
       "1599  1389.856459  \n",
       "\n",
       "[1600 rows x 8 columns]"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfaz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "ss = StandardScaler()\n",
    "df_scaledaz = pd.DataFrame(ss.fit_transform(dfaz),columns = dfaz.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>Width</th>\n",
       "      <th>Height</th>\n",
       "      <th>X-Speed</th>\n",
       "      <th>Y-Speed</th>\n",
       "      <th>Pressure</th>\n",
       "      <th>Max Pressure</th>\n",
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       "      <th>Azimuth</th>\n",
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       "      <th>0</th>\n",
       "      <td>-0.163952</td>\n",
       "      <td>0.181242</td>\n",
       "      <td>1.396139</td>\n",
       "      <td>0.781141</td>\n",
       "      <td>0.334928</td>\n",
       "      <td>0.030672</td>\n",
       "      <td>-1.152504</td>\n",
       "      <td>0.758867</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.167073</td>\n",
       "      <td>0.021464</td>\n",
       "      <td>1.510120</td>\n",
       "      <td>0.311793</td>\n",
       "      <td>0.154203</td>\n",
       "      <td>-0.181930</td>\n",
       "      <td>-1.167512</td>\n",
       "      <td>1.076982</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.213369</td>\n",
       "      <td>0.226782</td>\n",
       "      <td>1.166887</td>\n",
       "      <td>0.121726</td>\n",
       "      <td>0.064618</td>\n",
       "      <td>-0.139409</td>\n",
       "      <td>-1.114985</td>\n",
       "      <td>1.049403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.180598</td>\n",
       "      <td>0.131842</td>\n",
       "      <td>0.899235</td>\n",
       "      <td>-0.503463</td>\n",
       "      <td>0.198274</td>\n",
       "      <td>0.030672</td>\n",
       "      <td>-1.160008</td>\n",
       "      <td>0.310382</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.749153</td>\n",
       "      <td>0.161173</td>\n",
       "      <td>0.158684</td>\n",
       "      <td>0.372271</td>\n",
       "      <td>-0.245041</td>\n",
       "      <td>0.000300</td>\n",
       "      <td>-1.047451</td>\n",
       "      <td>1.143629</td>\n",
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       "      <th>1595</th>\n",
       "      <td>0.052962</td>\n",
       "      <td>0.787934</td>\n",
       "      <td>-1.125871</td>\n",
       "      <td>-0.651121</td>\n",
       "      <td>1.051390</td>\n",
       "      <td>0.680624</td>\n",
       "      <td>0.063113</td>\n",
       "      <td>1.271935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1596</th>\n",
       "      <td>-0.075522</td>\n",
       "      <td>0.383472</td>\n",
       "      <td>-1.367083</td>\n",
       "      <td>-0.714824</td>\n",
       "      <td>1.120931</td>\n",
       "      <td>0.680624</td>\n",
       "      <td>-0.222782</td>\n",
       "      <td>1.044988</td>\n",
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       "    <tr>\n",
       "      <th>1597</th>\n",
       "      <td>-0.114535</td>\n",
       "      <td>-0.027936</td>\n",
       "      <td>-1.198614</td>\n",
       "      <td>-0.494294</td>\n",
       "      <td>0.872370</td>\n",
       "      <td>0.723144</td>\n",
       "      <td>-0.395370</td>\n",
       "      <td>1.335365</td>\n",
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       "      <th>1598</th>\n",
       "      <td>-0.039630</td>\n",
       "      <td>0.438275</td>\n",
       "      <td>-1.184627</td>\n",
       "      <td>-0.950642</td>\n",
       "      <td>0.419006</td>\n",
       "      <td>0.103563</td>\n",
       "      <td>-0.395370</td>\n",
       "      <td>1.183065</td>\n",
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       "      <th>1599</th>\n",
       "      <td>-0.291916</td>\n",
       "      <td>0.411260</td>\n",
       "      <td>-1.241061</td>\n",
       "      <td>-1.052385</td>\n",
       "      <td>0.639344</td>\n",
       "      <td>-0.011849</td>\n",
       "      <td>-0.432889</td>\n",
       "      <td>0.636276</td>\n",
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       "</table>\n",
       "<p>1600 rows × 8 columns</p>\n",
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      "text/plain": [
       "         Width    Height   X-Speed   Y-Speed  Pressure  Max Pressure  \\\n",
       "0    -0.163952  0.181242  1.396139  0.781141  0.334928      0.030672   \n",
       "1    -0.167073  0.021464  1.510120  0.311793  0.154203     -0.181930   \n",
       "2    -0.213369  0.226782  1.166887  0.121726  0.064618     -0.139409   \n",
       "3    -0.180598  0.131842  0.899235 -0.503463  0.198274      0.030672   \n",
       "4    -0.749153  0.161173  0.158684  0.372271 -0.245041      0.000300   \n",
       "...        ...       ...       ...       ...       ...           ...   \n",
       "1595  0.052962  0.787934 -1.125871 -0.651121  1.051390      0.680624   \n",
       "1596 -0.075522  0.383472 -1.367083 -0.714824  1.120931      0.680624   \n",
       "1597 -0.114535 -0.027936 -1.198614 -0.494294  0.872370      0.723144   \n",
       "1598 -0.039630  0.438275 -1.184627 -0.950642  0.419006      0.103563   \n",
       "1599 -0.291916  0.411260 -1.241061 -1.052385  0.639344     -0.011849   \n",
       "\n",
       "          Time   Azimuth  \n",
       "0    -1.152504  0.758867  \n",
       "1    -1.167512  1.076982  \n",
       "2    -1.114985  1.049403  \n",
       "3    -1.160008  0.310382  \n",
       "4    -1.047451  1.143629  \n",
       "...        ...       ...  \n",
       "1595  0.063113  1.271935  \n",
       "1596 -0.222782  1.044988  \n",
       "1597 -0.395370  1.335365  \n",
       "1598 -0.395370  1.183065  \n",
       "1599 -0.432889  0.636276  \n",
       "\n",
       "[1600 rows x 8 columns]"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_scaledaz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Width</th>\n",
       "      <th>Height</th>\n",
       "      <th>X-Speed</th>\n",
       "      <th>Y-Speed</th>\n",
       "      <th>Pressure</th>\n",
       "      <th>Max Pressure</th>\n",
       "      <th>Time</th>\n",
       "      <th>Azimuth</th>\n",
       "      <th>Type</th>\n",
       "      <th>Acceleration</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5333</td>\n",
       "      <td>3641.0</td>\n",
       "      <td>3.241749</td>\n",
       "      <td>-0.165842</td>\n",
       "      <td>628.464286</td>\n",
       "      <td>837.0</td>\n",
       "      <td>1212.0</td>\n",
       "      <td>1407.142857</td>\n",
       "      <td>0</td>\n",
       "      <td>0.436134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5327</td>\n",
       "      <td>3434.0</td>\n",
       "      <td>3.348154</td>\n",
       "      <td>-0.484899</td>\n",
       "      <td>600.964706</td>\n",
       "      <td>802.0</td>\n",
       "      <td>1192.0</td>\n",
       "      <td>1452.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.491815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5238</td>\n",
       "      <td>3700.0</td>\n",
       "      <td>3.027734</td>\n",
       "      <td>-0.614105</td>\n",
       "      <td>587.333333</td>\n",
       "      <td>809.0</td>\n",
       "      <td>1262.0</td>\n",
       "      <td>1448.111111</td>\n",
       "      <td>0</td>\n",
       "      <td>0.564077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5301</td>\n",
       "      <td>3577.0</td>\n",
       "      <td>2.777870</td>\n",
       "      <td>-1.039101</td>\n",
       "      <td>607.670732</td>\n",
       "      <td>837.0</td>\n",
       "      <td>1202.0</td>\n",
       "      <td>1343.902439</td>\n",
       "      <td>0</td>\n",
       "      <td>0.502355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4208</td>\n",
       "      <td>3615.0</td>\n",
       "      <td>2.086538</td>\n",
       "      <td>-0.443787</td>\n",
       "      <td>540.215054</td>\n",
       "      <td>832.0</td>\n",
       "      <td>1352.0</td>\n",
       "      <td>1461.397849</td>\n",
       "      <td>0</td>\n",
       "      <td>0.391927</td>\n",
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       "    <tr>\n",
       "      <th>1595</th>\n",
       "      <td>5750</td>\n",
       "      <td>4427.0</td>\n",
       "      <td>0.887359</td>\n",
       "      <td>-1.139477</td>\n",
       "      <td>737.482353</td>\n",
       "      <td>944.0</td>\n",
       "      <td>2832.0</td>\n",
       "      <td>1479.490196</td>\n",
       "      <td>1</td>\n",
       "      <td>0.007893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1596</th>\n",
       "      <td>5503</td>\n",
       "      <td>3903.0</td>\n",
       "      <td>0.662179</td>\n",
       "      <td>-1.182783</td>\n",
       "      <td>748.063927</td>\n",
       "      <td>944.0</td>\n",
       "      <td>2451.0</td>\n",
       "      <td>1447.488584</td>\n",
       "      <td>1</td>\n",
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       "      <th>1597</th>\n",
       "      <td>5428</td>\n",
       "      <td>3370.0</td>\n",
       "      <td>0.819451</td>\n",
       "      <td>-1.032868</td>\n",
       "      <td>710.242424</td>\n",
       "      <td>951.0</td>\n",
       "      <td>2221.0</td>\n",
       "      <td>1488.434343</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.042554</td>\n",
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       "    <tr>\n",
       "      <th>1598</th>\n",
       "      <td>5572</td>\n",
       "      <td>3974.0</td>\n",
       "      <td>0.832508</td>\n",
       "      <td>-1.343089</td>\n",
       "      <td>641.257732</td>\n",
       "      <td>849.0</td>\n",
       "      <td>2221.0</td>\n",
       "      <td>1466.958763</td>\n",
       "      <td>1</td>\n",
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       "      <td>5087</td>\n",
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       "      <td>1389.856459</td>\n",
       "      <td>1</td>\n",
       "      <td>0.009764</td>\n",
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       "</table>\n",
       "<p>1600 rows × 10 columns</p>\n",
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      ],
      "text/plain": [
       "      Width  Height   X-Speed   Y-Speed    Pressure  Max Pressure    Time  \\\n",
       "0      5333  3641.0  3.241749 -0.165842  628.464286         837.0  1212.0   \n",
       "1      5327  3434.0  3.348154 -0.484899  600.964706         802.0  1192.0   \n",
       "2      5238  3700.0  3.027734 -0.614105  587.333333         809.0  1262.0   \n",
       "3      5301  3577.0  2.777870 -1.039101  607.670732         837.0  1202.0   \n",
       "4      4208  3615.0  2.086538 -0.443787  540.215054         832.0  1352.0   \n",
       "...     ...     ...       ...       ...         ...           ...     ...   \n",
       "1595   5750  4427.0  0.887359 -1.139477  737.482353         944.0  2832.0   \n",
       "1596   5503  3903.0  0.662179 -1.182783  748.063927         944.0  2451.0   \n",
       "1597   5428  3370.0  0.819451 -1.032868  710.242424         951.0  2221.0   \n",
       "1598   5572  3974.0  0.832508 -1.343089  641.257732         849.0  2221.0   \n",
       "1599   5087  3939.0  0.779825 -1.412252  674.784689         830.0  2171.0   \n",
       "\n",
       "          Azimuth  Type  Acceleration  \n",
       "0     1407.142857     0      0.436134  \n",
       "1     1452.000000     0      0.491815  \n",
       "2     1448.111111     0      0.564077  \n",
       "3     1343.902439     0      0.502355  \n",
       "4     1461.397849     0      0.391927  \n",
       "...           ...   ...           ...  \n",
       "1595  1479.490196     1      0.007893  \n",
       "1596  1447.488584     1     -0.025665  \n",
       "1597  1488.434343     1     -0.042554  \n",
       "1598  1466.958763     1     -0.033884  \n",
       "1599  1389.856459     1      0.009764  \n",
       "\n",
       "[1600 rows x 10 columns]"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Width           0\n",
       "Height          0\n",
       "X-Speed         0\n",
       "Y-Speed         0\n",
       "Pressure        0\n",
       "Max Pressure    0\n",
       "Time            0\n",
       "Azimuth         0\n",
       "Acceleration    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#including acceleration after scaling\n",
    "import numpy as np\n",
    "ds = dfacc.isin([np.inf, -np.inf]).sum()\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [],
   "source": [
    "#function for implementing stacking using random forest and svm as base models and logistic regression as meta classifier\n",
    "from mlxtend.classifier import StackingClassifier\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn import svm\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "def stacking(x_train,y_train,x_test):\n",
    "    lr=LogisticRegression(random_state=0)\n",
    "    rf = RandomForestClassifier(random_state=0)\n",
    "    clf=svm.SVC(random_state=0)\n",
    "    sclf = StackingClassifier(classifiers=[clf,rf], \n",
    "                          meta_classifier=lr)\n",
    "    sclf.fit(x_train,y_train)\n",
    "    y1=sclf.predict(x_test)\n",
    "    return y1\n",
    "    \n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [],
   "source": [
    "#function for implementing stacking using random forest and svm as base models and logistic regression as meta classifier.Predicts probabilities to calculate eer\n",
    "from mlxtend.classifier import StackingClassifier\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn import svm\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "def stackingprob(x_train,y_train,x_test):\n",
    "    lr=LogisticRegression(random_state=0)\n",
    "    rf = RandomForestClassifier(random_state=0)\n",
    "    clf=svm.SVC(random_state=0)\n",
    "    sclf = StackingClassifier(classifiers=[clf,rf], \n",
    "                          meta_classifier=lr)\n",
    "    sclf.fit(x_train,y_train)\n",
    "    y1=sclf.predict_proba(x_test)\n",
    "    return y1\n",
    "    \n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n"
     ]
    }
   ],
   "source": [
    "#predictions ya=svm yb=random forest yc=decision tree yd=stacking.Predicting results in 0 and 1\n",
    "tp=0\n",
    "tp1=0\n",
    "tp2=0\n",
    "ya,yb,yc,yd=[],[],[],[]\n",
    "yprobsvm,yprobrf,yprobstack=[],[],[]\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn import svm\n",
    "from sklearn.metrics import confusion_matrix\n",
    "for i in range(0,1561,40):\n",
    "    x_train=df_scaledaz[i:i+15]\n",
    "    df22=df_scaledaz[i+20:i+35]\n",
    "    df41=x_train.append(df22, ignore_index = True) \n",
    "    x_train=df41\n",
    "    x_test=df_scaledaz[i+15:i+20]\n",
    "    df23=df_scaledaz[i+35:i+40]\n",
    "    df42=x_test.append(df23, ignore_index = True) \n",
    "    x_test=df42\n",
    "    y_train=[0 for x in range(15)]+[1 for x in range(15)]\n",
    "    y_train=pd.DataFrame(y_train,columns=[\"Type\"])\n",
    "    y_test=[0 for x in range(5)]+[1 for x in range(5)]\n",
    "    y_test=pd.DataFrame(y_test,columns=[\"Type\"])\n",
    "    clf=svm.SVC(random_state=0,probability=True)\n",
    "    rf = RandomForestClassifier(random_state=0)\n",
    "    clf.fit(x_train,y_train)\n",
    "    y1=clf.predict(x_test)\n",
    "    yprobsvm.extend(clf.predict_proba(x_test))\n",
    "    ya.extend(y1)\n",
    "    rf.fit(x_train, y_train);\n",
    "    y1=rf.predict(x_test)\n",
    "    yprobrf.extend(rf.predict_proba(x_test))\n",
    "    yb.extend(y1)\n",
    "    clf1 = DecisionTreeClassifier(random_state=0)\n",
    "    clf1.fit(x_train,y_train)\n",
    "    y1=clf.predict(x_test)\n",
    "    yc.extend(y1)\n",
    "    y1=stacking(x_train,y_train,x_test)\n",
    "    yd.extend(y1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n"
     ]
    }
   ],
   "source": [
    "#predictions ya=svm yb=random forest yc=decision tree yd=stacking-predicting stacking probability\n",
    "yprob=[]\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn import svm\n",
    "from sklearn.metrics import confusion_matrix\n",
    "for i in range(0,1561,40):\n",
    "    x_train=df_scaledaz[i:i+15]\n",
    "    df22=df_scaledaz[i+20:i+35]\n",
    "    df41=x_train.append(df22, ignore_index = True) \n",
    "    x_train=df41\n",
    "    x_test=df_scaledaz[i+15:i+20]\n",
    "    df23=df_scaledaz[i+35:i+40]\n",
    "    df42=x_test.append(df23, ignore_index = True) \n",
    "    x_test=df42\n",
    "    y_train=[0 for x in range(15)]+[1 for x in range(15)]\n",
    "    y_train=pd.DataFrame(y_train,columns=[\"Type\"])\n",
    "    y_test=[0 for x in range(5)]+[1 for x in range(5)]\n",
    "    y_test=pd.DataFrame(y_test,columns=[\"Type\"])\n",
    "    y1=stackingprob(x_train,y_train,x_test)\n",
    "    yprob.extend(y1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [],
   "source": [
    "yproblr=[]\n",
    "yprobsvm1,yprobrf1=[],[]\n",
    "for i in yprob:\n",
    "    yproblr.append(i[1])\n",
    "for i in yprobsvm:\n",
    "    yprobsvm1.append(i[1])\n",
    "for i in yprobrf:\n",
    "    yprobrf1.append(i[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import roc_curve\n",
    "from sklearn.metrics import roc_auc_score\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_t=[0 for x in range(5)]+[1 for x in range(5)]\n",
    "y_true=[]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [],
   "source": [
    "for x in range(40):\n",
    "    y_true.extend(y_t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [],
   "source": [
    "...\n",
    "# calculate roc curve\n",
    "fprsvm,tprsvm,thresholdsvm=roc_curve(y_true, yprobsvm1)\n",
    "fprf,tprf,thresholdsrf=roc_curve(y_true,yprobrf1)\n",
    "fpr, tpr, thresholds = roc_curve(y_true, yproblr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.   , 0.   , 0.   , 0.   , 0.   , 0.   , 0.   , 0.   , 0.   ,\n",
       "       0.   , 0.01 , 0.04 , 0.04 , 0.06 , 0.11 , 0.135, 0.185, 0.2  ,\n",
       "       0.225, 0.275, 0.97 , 0.995, 1.   ])"
      ]
     },
     "execution_count": 182,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fpr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [],
   "source": [
    "fnrsvm=[1-x for x in tprsvm]\n",
    "fnrf=[1-x for x in tprf]\n",
    "fnr=[1-x for x in tpr]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x2ad62fbb808>]"
      ]
     },
     "execution_count": 184,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.plot(fpr)\n",
    "plt.plot(fnr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x2ad61ac3148>]"
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(fprsvm)\n",
    "plt.plot(fnrsvm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x2ad630ea608>]"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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CFpMO7tg2mC+fFrocQkg/OVakwe6fyjAlJRyTk13z7uCu2AwBjuOQm5uLZcuWYcqUKYiLi0NOTg5qa2uxZ8+eTvtfuXIFn376KdauXYupU6ciJiYGzz//PLy8vHD6tOufNBmGgWLKQkgCh0B/cBOs16qFLokQ0sfKNVr8e1cBYgYPwEO3xApdTq+yGQKFhYXQ6XRIT09v26ZSqZCQkIC8vLxO+3///ffw8fHBtGnT2rb5+vri4MGDmDRpUi+VLSxG5gXvW1cADAP93vXgTQahSyKE9JFmgwkbPsuHt5cMT96bBLnMvYZSbX6b6uqWv3RDQkI6bA8ODoZare60f2lpKYYMGYJDhw7h/vvvx80334w//OEPuHTpUi+VLA6SAUHwnvEErFcrof/6n7DqXb+rixDSWe6uQtQ1GvDkvUkuuUqoLTJbO+j1LQ9UYdmOgyAsy4LjuE77a7VaVFRU4LXXXsMzzzwDPz8/bNq0CQ899BB27dqFQYMG2V1cYKDz06+CgnydPtb+D0lHk/RJ1O5+C4bPsxB870p4Ryb0/ef2sX5pOzdFbec8MbbdiXManLxQi0dnJWBCirgfHu9s+9kMAYVCAaBlbKB9EHAcB6VS2Wl/uVwOrVaLV199FSNHjgQArFu3DlOmTMG2bduwdOlSu4urq9PCanV8KmZQkC9qapocPs4pYWPhfU8Q9PvfgPr9NWDHzgGbcgcYxjUvGfu17dwMtZ3zxNh2FqsVb392GsF+3pgYHyy6+tprbT+JhHH4j2ebZ6qwsJYn5Wg0mg7bNRpNpy4iAAgNDQXDMBgxYkTbNoVCgYiICJSXlztUnKuQDoqCz5wsyIaOBXfsUxiPbBG6JEJIDx0+VYmK2mb8bvpwtxsHaM/mN4uLi4NKpcLRo789XUur1aKgoABpaWmd9h87dix4nseZM2fathkMBly5cgWRkZG9VLb4MKw3FDMehyw2A6bCb2DVXRO6JEKIk5oNJmz/rgRxkX5IHWF/F7YrshkCLMti/vz5yMnJwf79+1FUVISVK1ciJCQEmZmZsFgsqKmpgcHQMkNm7NixmDhxIv7nf/4Hx44dw8WLF7Fq1SowDIM5c+b0+RcSEsMw8Eq5A7CYYSo4KHQ5hBAnffFDKZr1JjzoBmsD2WLXNc6KFSswd+5crF69GvPmzQPP89i8eTNYloVarcakSZOwe/futv03bNiA9PR0LF++HPfddx8aGxvx3nvvITDQtVfbs4fELwzSyGSYCg6CN3ceOCeEiFtVvQ4HjpcjIzkckSHiG6zubQwv4kVwXGJguAvmykLov3wZXpMXgo2bIlgdzhC67VwZtZ3zxNR2r287jcKyBry0dAIG+LjG0hB9OjBMHCcNi4MkMBKm/K9poTlCXEhZVRNOXqjFbWmRLhMAPUUh0AcYhgGbNBPWhkpYys/YPoAQIgo7fyiB0kuGW8ZGCF1Kv6EQ6COymPFglH7g8ukhNIS4gtargMy0CCgVNm+hchsUAn2EkcogT7wFlvIzsNS75/0RhLiTtquAMZ5zFQBQCPQpNn4qIGPBne682iohRDw89SoAoBDoU4xCBXncVJgvHKElpwkRMU+9CgAoBPocm3IHIJHCePILoUshhHTBk68CAAqBPidR+kEePw3mCz/S1QAhIvT5d8UeexUAUAj0C7oaIESczhTX4fSlOtw5MdojrwIACoF+QVcDhIiPxWrFRwcvItjfG7eMFfezAvoShUA/oasBQsTl0MlKVNY244FpwyGTeu6p0HO/eT+jqwFCxKNlqehixEf5I8XNl4q2hUKgH7VeDRh+fB+81Sp0OYR4rB3fl0BnNHvEUtG2UAj0I4nSD14T5sFyJR9c3mdCl0OIR1LXNeObExWYnByOiGDnn2PuLjxzOFxA8vhpsNaWgjv1JSSDoiAfNk7okgjxGGVVTXhz+xmwcgnuzRgmdDmiQCHQzxiGgdfND8NSXw7Doc2Q+IVDGjBY6LIIcWs8z+PQyQpsOXABvkoWK+emeMxS0bZQd5AAGKkc3rcuByP3gn7vevAGrdAlEeK29EYzNu04i//uPY+E6ABkLRyH4UMGCl2WaFAICETi4w/FrcvAa2vR/PH/D+6XPeBNRqHLIsStNBtM+L8PT+L4uRrMnRqDFfePgq+SrgDaoxAQkCw0Fsq7/wrJoCgYf96K5i1Pt4QBPZuYkB5rNpjw6pZTqKjVYsX9Sbg9PQoSD58J1BUKAYFJg4dBecfTHcJAvyebrgoI6YH2AbBsThJGxXj2vQA3QiEgEtLQEVDe8TQU05bAUnUe+q/WURAQ4gQKAMdQCIiMfMREKKYtpSAgxEnbDl1CeQ0FgL0oBERIPjy9YxBwOqFLIsQl6I1mHCmoRnpiCAWAnSgERKp9EGi3PAPjyS/Ac3qhyyJE1H4urIaRs2BKCt17Yy+6WUzE5MPTIRkYCuPxz8Ed2wbu9FdgR90GdtTtYKT0v46Q6x0+VYkhQT6ICR8gdCkug84kIicNiobytpWw1JTAeHw7uGPbAIsJXmPnCF0aIaJSWtWIsqom/P7WWI9fFM4R1B3kIqRBQ6G8bSVkQ8eCy99HdxkTcp3DpyrByiSYkBgidCkuxa4QsFqtWL9+PTIyMpCcnIxFixahrKzMrg/44osvMHLkSLv3JzfGjr4HMOnBndkrdCmEiIbeaMZPBdUYFx8MpUIudDkuxa4Q2LhxI7Zs2YK1a9di69atkEqlWLx4MYzGG09frKiowLPPPtsrhZIW0sAIuhog5Do0IOw8myHAcRxyc3OxbNkyTJkyBXFxccjJyUFtbS327NnT7XFWqxXPPPMMEhMTe7VgQlcDhFyPBoSdZzMECgsLodPpkJ6e3rZNpVIhISEBeXl53R63adMmmEwmLF26tHcqJW3oaoCQ31ysuIayqiZMSRlMA8JOsBkC1dUtz8MNCek42BIcHAy1Wt3lMadPn0Zubi5eeeUVSKXSXiiTXI+uBoinq72mx3tfFeHlD07ARyGjAWEn2Zwiqte33KDEsh2XX2VZFhzXebVLnU6Hp59+Gk8//TSio6PbQsQZgYHOP/otKMjX6WNdQlACquPSoTu7H2FT50Dq3Xvf1+3brg9R2znP3ra7pjXi/a+KsP9oGQAGM9OjcP/0WAT5e/dtgSLn7M+ezRBQKBQAWsYG2gcBx3FQKpWd9l+7di2io6Px4IMPOlVQe3V1WlitvMPHBQX5oqamqcefL3b8TbPAnzuK8g9fgPdtK8GwPf8l8JS26wvUds6zt+0amzm88tFJVNXpMDklHLPSoxAwQAGYzR7d9q3tJ5EwDv/xbDMEwsLCAAAajQYq1W9vrtFoMHz48E77b9u2DSzLIjU1FQBgsVgAAPfccw/uvvtu/OMf/3CoQNI9aUAEFDP+CMOBTdB/ldNrQUCIGLUGQE2DHk/9Lhnx0QFCl+QWbIZAXFwcVCoVjh49imHDWh7MrNVqUVBQgIceeqjT/nv3duyj/uWXX/DMM8/gzTffRGxsbC+VTVrJh6UBAAUBcWvtA+BP94+iAOhFNkOAZVnMnz8fOTk5GDRoEIYMGYLs7GyEhIQgMzMTFosF9fX18PX1hUKhQFRUVIfjq6qqAADh4eEIDAzsm2/h4ToFwe1/BiP3ErgqQnqHpkGH1z/LpwDoI3atHbRixQpYLBasXr0aer0eY8aMwebNm8GyLMrLyzFjxgy8+OKLmDOH1rMRinxYGsADhgNvgMv/Gl6j7xa6JEJ6RNOgw5c/luHHM1WQyyQUAH2E4Xne8ZHXfkIDw47TffUaLNUXoJr3qlPdQp7cdj1Fbee89m3X/uQvlTKYmjIYt6dHwk9FV7fd6dOBYeJavMbMhu7zLHBn9tHVAHEp15/8Z4wZQif/fkAh4GakQdGQRqaAy/8a7E230iAxEb1mgwkffnQSB/Ou0MlfABQCboiuBoiraDaY8OpHp1BRo6WTv0AoBNwQXQ0QV9A+AP53QRqig3yELskj0UNl3JTXmNmAsRncmX1Cl0JIJ+0D4Ml7kzAuIVTokjwWhYCban81YNVdE7ocQtroDOYOAZA8fJDQJXk0CgE35jX2XsDMQffZGpgrC4UuhxBYeR6bvyxAuYYCQCwoBNyYdFAUlLNXA3IF9Lv+D8YTO8FbrUKXRTzYzu9LcOpiLR6cMYICQCQoBNycNDACPveugSxmPLi8z6Dfkw1LQ4XQZREPdPJCDXb+UIqbk0IxfTQ9BlIsKAQ8AMN6QzFtKbwyFsBSfRG6T/4G/YFNsDRUCl0a8RDqumb864sCRIf64pGZI+kJYCJCU0Q9BMMwYOOnQjZ0DEynvwJ3Zj/Ml36GbPh4eE14CBJvejYr6RtavQmvb8sHK5Ng2ZwkyGX0tEExoRDwMBKFL7zS5kI+6raWMMj/GpbKIihmPA5Z2EihyyNuRqs3IfujU6i9psefH0hpeQAMERXqDvJQrWGgvOfvgNwL+i9fhvHkl+B5GjgmvaM1ACpqtVg2ZxRGRvoLXRLpAl0JeDjpoCj43JsFw7fvgDv2KdSaQvBRaZCFx4PxDaK+W+KU6wNgVAw9S0SsKARIy8DxjMdhCo+H6eR2WMrOwgiA8QmALHIUvMbdD0bh2PK0xHOVVjXiP7uLUFnXTAHgAigECIBfB44TpiF88l2ovnAOlsoiWNRFMJ37DuYr+fCe8TikIZ2fKU1Iq9KqRuz8vhSnLtbCRyGjAHARFAKkA4ZhIPUfDKn/YCBxBiyaYugPvAndzhfhNX4u5EkzqYuIdKAzmPDvXYU4eaHl5H/v5GG4ZcwQeHvR6cUV0P8lckPS4GHwmZMFw+FcGH/6CJaqC1Dc8iQYCc0pIC0BkL31F1yubsK9GUNxy9gIOvm7GPpNJjYxXj5Q3LoMbNrvYC49DlP+10KXRESgfQA8ce9NuOvmoRQALohCgNiFYRiwybdDFpUKY942WK7S3cae7PoASB0RJHRJxEkUAsRuDMPAK+NRQOYFw+FcWozOQzU0GfHqR6coANwEhQBxiETpB8XE38NafZG6hTxQfnEd1uQehbpOhyfvTaIAcAPUgUccJhs+AbLiYzDmbYM0KhlSv3ChSyJ9zGK1Yvt3Jdh1pAxDgnzw+OybEBZIj4N0BxQCxGGt3ULmT/4Kw8G34X37U7QAnRsyW6woVTeh6HIDjp+rQVl1EyYnh+OhW0aAldMicO6CQoA4RaL0g2LKYhgOvAndttVQTP8jZOFxQpdFeoGRs+CdPYU4dbEWnKll3GdIkA+W3JWA9ER6FrC7oRAgTpNHj4Zk9mro92+EftfLYMfcCzb1TjAMDTW5KiNnQc4nv+BC+VVMTR2MhCh/xEb4wVfJCl0a6SMUAqRHWp9cZvj+XXB5n8FSUQCvtPtpiQkX1D4Alt6diLT4EKFLIv2A/mQjPdb25LLJC2FtqIBux1ro9mTDUn1R6NKInSgAPJddIWC1WrF+/XpkZGQgOTkZixYtQllZWbf7X758GcuXL8eECROQlpaGxx57DBcuXOi1oon4MAwDNm4KfOa9Ajbtd7DWlEK3Yy30X/8TVn2j0OWRG7BaeazfdpoCwEPZFQIbN27Eli1bsHbtWmzduhVSqRSLFy+G0WjstK9Wq8WCBQtgMBiQm5uL999/Hz4+PnjkkUdQV1fX61+AiAsjV8Ar5Y6WMBh3P8xX8qH7bA3MVeeFLo10Y++xKygsa8Cjt8VRAHggmyHAcRxyc3OxbNkyTJkyBXFxccjJyUFtbS327NnTaf/Dhw+juroa69atQ3x8PGJjY/HKK69Ar9fjwIEDffIliPgwcgW8Uu+EcvbfASkL/RcvwXiKnlwmNuq6Znz+XTFShg9CxqgwocshArAZAoWFhdDpdEhPT2/bplKpkJCQgLy8vE77jx49Gm+//TZ8fX07bOd5HlevXu2FkokrkQ6Kgs+cLMiGjgV39FMY9r4O3mISuiyClm6g3N2FYGUSPHLbSFoi3EPZDIHq6moAQEhIx8vE4OBgqNXqTvuHhYXh5ptv7rDt3XffhdFoxJQpU3pSK3FRrU8u85r4e5jLTkJPQSAKe49dwaWKRjx0Syz8VF5Cl0MEYnOKqF6vBwCwbMd5wizLguM4mx+wZ88evPbaa1iwYAFGjhzpUHGBgc4/0jAoyNf2TqRLfadCb2AAABPKSURBVNZ2wXPQ6OeL2t2bYDn0JkLvXwVGJu+bzxKIq/zclWuasP27YoxPDMVdU4eL4irAVdpOrJxtP5shoFAoALSMDbQPAo7joFQqb3jse++9hxdffBGzZ8/GqlWrHC6urk4Lq5V3+LigIF/U1DQ5fBzph7Ybkg6vDAP03/0Hlz98Ad6Zy8FI3SMIXOXnzmyx4pUPTkAuk+CBaTGordUKXZLLtJ1YtbafRMI4/Mezze6gsLCWwSKNRtNhu0aj6dRF1MpqteK5557D888/j8ceewwvvPACJPQkKvIrNn4qvDIWwHLlNAzfviN0OR7nw33nUVzZiEdvi6NuIGI7BOLi4qBSqXD06NG2bVqtFgUFBUhLS+vymKysLHz44YdYvXo1/vznP4viUpOICxs/FWzyHTBfOALrtWqhy/EYh09V4NCpStyeHomxccFCl0NEwGYIsCyL+fPnIycnB/v370dRURFWrlyJkJAQZGZmwmKxoKamBgaDAQCwd+9ebN26FUuWLEFmZiZqamra/jU3N/f5FyKuQ56UCUgk4M7sE7oUj3Cx4hre33seiUMDcN/kGKHLISJhVx/NihUrMHfuXKxevRrz5s0Dz/PYvHkzWJaFWq3GpEmTsHv3bgDAzp07AQCbNm3CpEmTOvx7++23++6bEJcjUfpBNjwdpnPfgTfSHwh96arWiI2f5yNggBeW3p0IiYSuzkkLhud5x0de+wkNDPe//m47S91l6LatBpv2O3il3NFvn9sXxPJzZ+QseGvnWRRebmjbZrFYIZEw+OvDYxER7Pysu74ilrZzVT0ZGKZVRImgpIGRkIbHw3R2H9hRmWAk9CPZE0bOgn9++gvOXbmKKcnhHR7+Mjo2SJQBQIRFv3FEcOyomdB/9RrMxXmQD0+3fQDpUvsAeOzOBEygB8AQO9C8TSI4acQoSAaGgsv/GiLunRQ1CgDiLAoBIjiGkUCelAlrTQkstNqoQ6w8j7wiDda+l0cBQJxCIUBEQR57M+DlA8PhXJiKj9Jqoza0nvyzco/ije1nYLbyWH7fKAoA4jAaEyCiwMi84D3jCRh//ACG/W9A4j8Y7Jh7IBs6lp5Z3IX3vjqHb3+pREiAEn+4KwHj40No2idxCoUAEQ3ZkERI718Lc/FRcCd2Uhh0o77RgO9PqzE5ORyPzBxJJ3/SIxQCRFQYiQTy4emQDUv7NQx2UBhcZ//xcvDgcefEKAoA0mMUAkSUugsDRuELadhISMPiIA2Pg8R/sEetTWXgzDh8qhJjRwZj0EBvocshboBCgIhahzAoPQ7z5V9gURfBXNLyVDtJQETLFUL0aI+4Qvj+tBp6oxmZaRFCl0LcBIUAcQmMRAL5sHGQDxsHALA21cBcfhbc6a9g2LfBI8LAauWxL+8KYgYPQEz4QKHLIW6CQoC4JIlvENj4qZCPzID50s8wntgJw74NgJcPZK3dRWEjwXgP6P5NGAkY7wEu05108kItaq4aMHfqcKFLIW6EQoC4NEYihXzERMhixsNcegKWK/kwq4tgLj1h1/HS0FiwY2ZDGh4v+jDYd+wyBg1UIDV2kNClEDdCIUDcAiORduwu0tbBUnUBvMnQ7TG8QQtTwQHod/2f6MOgRN2I8+XX8OCMEZDSU/pIL6IQIG5JogqEZHigzf3YpEyYzn0L7tQuUYaByWzF9/lqfPljKby9pMgYFSZ0ScTNUAgQj8bIWLCJt0A+cnLnMEi9ExLfdo9glMkhUdkOlt7AmSz44UwVdh0pRX2jETHhA/C76Ynw9qJfWdK76CeKEHQTBnvWddpPOjgB7Oh7IAsb2aufb7ZYcaH8Gs5dbkDR5asorrwGs4VHTPgALLg9DonRAaK4MiHuh0KAkHbah4G5PB8wc22vWbV1MOXvhf6LFyENjwc7+u6WGUg9mJJqtljx45kqfPljKWqvGcAwQFSIL24ZE4GkmEDERfrRyZ/0KQoBQrrAyFjIo8d02s7edCtMBYfA/bIL+i9f7jAl1TAyCZYm02/vwXpD4hsEALBYrVDX6mBt97yEEnUjdh0pQ+01A4aGDcAD04cjPioASgX9WpL+Qz9thDiAkXmBHTUT8oSpMBfntdy9XNkyJbXySOf9JRHJOOc3CR+fNkPToO/0+tCwAZifORJJw6i7hwiDQoAQJzAyL8hjb255DgJauopUphpcu9oMADCbrSi/eA4DLn+HEVd+wYOSKFgybgMChwG/dh/5KuUYMWQgnfyJoCgECHECZ7KgorYZVmtr944MckUk8q6oUXT5KkoqtbBYwzE86GE8FFmOmMrvgLNvdbyjeVAcgAEAKASIcCgECLEDZ7LgUmVjp9k715MwDKLDfJGZFoGE6AAkRPmDYRjw3D0tdzS36z4C0CEUJIGRgERqd00Sb18wA0LoSoL0CIUA8VgVNVpo9aZuX+fMVlyquNbhpN9+9k7M4AFg5b+dtIMCVRiokHY5l59hvTt1H1kqizqHgoMYpV/bstqysDgwAykUiGMoBIjHMZmt+PjgRRw4UW5z3/Yn/dhIP8QO8et29k5QkC9qaprsqkGiCoTkulCwXlXb/yUAWJtqW4KkshDmSz/BiOtCISoFEqWfQ+9JPA+FAPEomgYd3txxFmVVTcgcF4HkmO7vAJZIGEQE+/bLlE2JKtC5u5Hjp4LnefDXqmBWn+sYCkd94D31MciiUnu/YOI2KASIR+BMFhw/X4P3956DhGGw/L4kpI4IErqsXsEwDBi/MLB+YW2hYK2/AsPhf0P/9T8hT5oJr7S5YKT06046s+unwmq1YsOGDfjkk0/Q2NiIMWPGYM2aNYiKiupy/4aGBqxduxbfffcdeJ7Hbbfdhr/85S/w8fHp1eIJ6Q7P87hU0YgzJXUd+vSHhQ/AH+9JdOtHMzIMA2lgJJT3/A3Gnz6CKf9rWKovwCv1LoCxf+DZxodAGjIcDOu+7egpGJ7nO09xuM7rr7+ODz/8EC+99BJCQkKQnZ2NkpIS7Nq1C15eXp32f/jhh2EwGJCVlQWtVov//d//RUpKCrKzsx0qrq5O224Knv0c6ZslHbl62/E8j6KyBuz4vgTny6+19enHRfpjZKQfEocGQCbtm6WYxdp2puKjMBzOBW6wrLZTvHzAjrodbOKMHoeBWNvOVbS2n0TCIDBQ5dCxNkOA4ziMHz8eTz/9NH7/+98DALRaLSZNmoSsrCzMnj27w/4nTpzAvHnzsGvXLgwf3vIEpCNHjmDhwoU4ePAgwsPD7S6OQqD/uUrbcSYLStSN0BnMbduMJgsOnazA+fJr8Pf1wh3pUZiQGNpvyzCIue2s+kbwTTW99n48pwd3Zh8sl39pCYOkmZAEDHH6/QYO8Ma1xt/uqGakMkiDhoFROHZC81Q9CQGbvx2FhYXQ6XRIT09v26ZSqZCQkIC8vLxOIZCXl4fAwMC2AACAMWPGgGEY5OXl4e6773aoQEIA++fp+/t64fe3xmJychjksl7q+nADEu8BwI0etekE2ZCbYNEUw3hiB7i8z3r0Xl1fozCQBA5pme0UHAP0YEyDYZWQBseAkXfuufB0Nlu1uroaABASEtJhe3BwMNTqzlPaNBoNQkNDO2xjWRb+/v6oqqrqSa12MVus+OmMGvUNuj7/LHc0oLIRjY293G3gJJ7nUVnb3O08/dhIP/irfvulZhggLNAHchk9eau/SIOHQXnbSlgbNeC5zmsj2cvfX4mGdr+zPKeDpeoCLOoimAoPwXRmX8+LlUghDRoGaXhcy1WLSO+nYKRySCNGgXHgxsGesBkCen3L/1iWZTtsZ1kWHMd1uf/1+7bubzQaHSrO0csaAPjxdCVefPeYw8cRcZIwwLAhfrgrIwZJMYFIGBoIH2+50GV1KyjIV+gShNEL3/u6vx2B5DQAAG82wVSvBs9bnX5vS1M99JfPwlB2FsZTu4AevFd/CJ23GsphyQ4d4+zPns0QUCgUAFrGBtqf3DmOg1Kp7HL/rsKhu/1vxJkxgRFhvnjrLzOgEWnfrNj5B/igob5Z6DLa+PsqOvTp67QG6LTiuFK5npjHBMTOZtsx/j1bYmlgIJA0AmzSbMg5Paza+h68Wd9iZHI0+waj2YGfpT4dEwgLa3mmqUajgUr125trNJoO/f6tQkNDodFoOmzjOA4NDQ2duon6SniQCnI4PqBMWn6YlFJxXiYT0hsY1hvSgMFClyEaNjtP4+LioFKpcPTo0bZtWq0WBQUFSEtL67T/uHHjUFNTg+Li4rZteXl5AICxY8f2Rs2EEEJ6ic0rAZZlMX/+fOTk5GDQoEEYMmQIsrOzERISgszMTFgsFtTX18PX1xcKhQLJyckYPXo0/vznP+PZZ5+FwWDA6tWrcc8993QaXCaEECIsu6ZRrFixAnPnzsXq1asxb9488DyPzZs3g2VZqNVqTJo0Cbt37wbQcrfihg0bEBERgUcffRTLly/HxIkTkZWV1ZffgxBCiBPsumNYKHSzWP+jtnMetZ3zqO16picDwzShmhBCPBiFACGEeDBRry0rkTg/VbEnx3o6ajvnUds5j9quZyQSxqk2FPWYACGEkL5F3UGEEOLBKAQIIcSDUQgQQogHoxAghBAPRiFACCEejEKAEEI8GIUAIYR4MAoBQgjxYBQChBDiwdwqBKxWK9avX4+MjAwkJydj0aJFKCsrE7os0dFqtXjhhRcwffp0pKamYs6cOThw4EDb6+Xl5Vi6dClGjx6NiRMn4pVXXoHZbBawYnEqKSlBamoqPvnkk7Zt1Ha2bd++HXfccQeSkpIwa9Ys7Nmzp+01ar/ucRyH7OxsTJ06FampqXjooYdw4sSJttedbjvejaxfv55PT0/nDx06xBcWFvKPPfYYP2PGDN5gMAhdmqgsW7aMv/XWW/kffviBLy0t5d98800+Li6O//HHH3mj0chnZmbyS5cu5c+dO8fv37+fT0tL49etWyd02aLCcRw/Z84cPjY2lv/44495nuep7eywfft2Pj4+nv/Pf/7Dl5aW8m+88QYfFxfH5+XlUfvZsG7dOn7ChAn8t99+y5eUlPB//etf+dTUVL6qqqpHbec2IWA0GvmUlBT+/fffb9vW1NTEJycn859//rmAlYmLRqPhY2Nj+W+++abD9kceeYR/6qmn+J07d/KJiYn81atX2177+OOP+ZSUFF6v1/dzteKVnZ3NP/zwwx1CgNruxqxWKz9t2jT++eef77B90aJF/IYNG6j9bJg1axb/4osvtv13U1MTHxsby+/atatHbec23UGFhYXQ6XRIT09v26ZSqZCQkND2jGMCeHt741//+len5z0zDINr164hLy8P8fHxGDhwYNtr48ePh06nw9mzZ/u7XFE6duwYtm7dipdffrnDdmq7GysuLkZFRQXuvPPODtv//e9/48knn6T2syEgIADffPMNysvLYbFY8Mknn4Bl2bZznLNt5zYhUF1dDQCdnmMcHBwMtVotREmipFKpMHnyZKhUvz196NSpU/jpp58wdepUVFdXIzQ0tMMxwcHBAICqqqp+rVWMGhsbsWrVKvztb39DWFhYh9eo7W6stLQUQEvf9pIlSzBhwgTMnTsXBw8eBEDtZ8vf//53yGQyzJgxA0lJScjOzkZOTg6io6N71HZuEwJ6vR4AwLJsh+0sy4LjOCFKcgmXLl3CsmXLkJycjAceeAAGg6HLNgQAo9EoRImikpWVhZSUFNx1112dXqO2uzGtVgsAWLVqFWbOnInc3FxMmjQJTzzxBH744QdqPxsuXLgAlUqFjRs3YuvWrZgzZw5WrVqFs2fP9qjtRP1QGUcoFAoALX9ltG8MjuOgVCqFKkvUjh07hmXLliE8PBxvvfUW5HI5FApFp9Bs/W9Pb8ft27cjLy8PX3zxRZevU9vdmFwuBwAsXLgQ9913HwAgPj4eZ86cQW5uLrXfDVRWVmLVqlXYvHlzW5d3UlISLl68iPXr1/eo7dzmSqD10lyj0XTYrtFoOnUREWDnzp1YuHAhEhMT8d///hd+fn4AgNDQ0C7bsPU1T7Zt2zbU1dW1TdFLTU0FAPzjH//ArFmzqO1saG2D2NjYDttHjBiB8vJyar8bOH36NEwmE5KSkjpsT05ORmlpaY/azm1CIC4uDiqVCkePHm3bptVqUVBQgLS0NAErE58vvvgCq1atwu2334633nqrw/jAuHHjUFhYiMbGxrZtP//8M3x8fJCQkCBEuaLx6quvYvfu3di+fXvbPwBYtmwZ3n77bWo7GxISEuDj44P8/PwO28+fP4/IyEhqvxtoPZGfO3euw/bz589j6NChPWu7PpvPJIB169bxaWlp/L59+9ruE8jMzOSNRqPQpYmGWq3mk5OT+UceeYSvrq7mNRpN27+GhgbeYDDwt9xyC79o0SK+sLCQP3DgAD9+/Hh+/fr1QpcuSu2niFLb2bZx40Y+NTWV37FjB19WVsa/8cYb/MiRI/kff/yR2u8GLBYLP2/ePH7mzJn8kSNH+JKSEj4nJ4ePi4vjjx8/3qO2c6sQMJvN/CuvvMJPmDCBT0lJ4RcvXsxfvnxZ6LJE5d133+VjY2O7/Pfggw/yPM/zpaWl/KJFi/ikpCT+5ptv5tetW8dbLBaBKxen9iHA89R29njnnXf4GTNm8ImJifxdd93F7927t+01ar/uXb16lc/KyuKnTp3Kp6Sk8A888AB/5MiRttedbTt60DwhhHgwtxkTIIQQ4jgKAUII8WAUAoQQ4sEoBAghxINRCBBCiAejECCEEA9GIUAIIR6MQoAQQjwYhQAhhHiw/wfvMnvuR55jeAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(fprf)\n",
    "plt.plot(fnrf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.optimize import brentq\n",
    "from scipy.interpolate import interp1d\n",
    "eersvm = brentq(lambda x : 1. - x - interp1d(fprsvm, tprsvm)(x), 0., 1.)\n",
    "threshsvm = interp1d(fprsvm, thresholdsvm)(eersvm)\n",
    "eerf = brentq(lambda x : 1. - x - interp1d(fprf, tprf)(x), 0., 1.)\n",
    "thresh = interp1d(fprf, thresholdsrf)(eerf)\n",
    "eer = brentq(lambda x : 1. - x - interp1d(fpr, tpr)(x), 0., 1.)\n",
    "thresh = interp1d(fpr, thresholds)(eer)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.07999999999947667"
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eersvm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.059999999999999984"
      ]
     },
     "execution_count": 189,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eerf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.08500000000000107"
      ]
     },
     "execution_count": 190,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [],
   "source": [
    "#cf1=svm cf2=random forest cf3=decision tree cf4=stacking\n",
    "\n",
    "cf1=confusion_matrix(y_true,ya)\n",
    "cf2=confusion_matrix(y_true,yb)\n",
    "cf3=confusion_matrix(y_true,yc)\n",
    "cf4=confusion_matrix(y_true,yd)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[192,   8],\n",
       "       [ 20, 180]], dtype=int64)"
      ]
     },
     "execution_count": 192,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cf2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[192,   8],\n",
       "       [ 18, 182]], dtype=int64)"
      ]
     },
     "execution_count": 193,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cf4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "from sklearn.metrics import confusion_matrix\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "array = cf2\n",
    "\n",
    "df_cm = pd.DataFrame(array, index=['Genuine', 'Forged'], columns=['Genuine', 'Forged'])\n",
    "# plt.figure(figsize=(10,7))\n",
    "sns.set(font_scale=1.4) # for label size\n",
    "sns.heatmap(df_cm, annot=True, annot_kws={\"size\": 20},fmt='g', ) # font size\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "array = cf4\n",
    "\n",
    "df_cm = pd.DataFrame(array, index=['Genuine', 'Forged'], columns=['Genuine', 'Forged'])\n",
    "# plt.figure(figsize=(10,7))\n",
    "sns.set(font_scale=1.4) # for label size\n",
    "sns.heatmap(df_cm, annot=True, annot_kws={\"size\": 20},fmt='g', ) # font size\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import accuracy_score\n",
    "svm=accuracy_score(y_true,ya)\n",
    "randomforest=accuracy_score(y_true, yb)\n",
    "stacked=accuracy_score(y_true,yd)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "92.0"
      ]
     },
     "execution_count": 197,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "svm*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "93.0"
      ]
     },
     "execution_count": 198,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "randomforest*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "93.5"
      ]
     },
     "execution_count": 199,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stacked*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import GridSearchCV \n",
    "from sklearn import svm\n",
    "def grd(x_train,y_train,x_test,y_test):\n",
    "    param_grid = {'C': [0.1, 1, 10, 100, 1000],  \n",
    "              'gamma': [1, 0.1, 0.01, 0.001, 0.0001], \n",
    "              'kernel': ['rbf']}  \n",
    "    grid = GridSearchCV(svm.SVC(), param_grid, refit = True, verbose = 3) \n",
    "    grid.fit(x_train, y_train) \n",
    "    return grid.predict(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import RandomizedSearchCV \n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "def rd(x_train,y_train,x_test,y_test):\n",
    "    n_estimators=[100,300,500]\n",
    "    max_depth=[5,8,15]\n",
    "    max_depth.append(None)\n",
    "    min_samples_split=[2,5,10]\n",
    "    min_samples_leaf=[1,2,5]\n",
    "    param_grid = {'n_estimators': n_estimators,   \n",
    "            'max_depth': max_depth,\n",
    "            'min_samples_split':min_samples_split,\n",
    "            'min_samples_leaf':min_samples_leaf}\n",
    "    rfr=RandomForestClassifier(random_state=1)\n",
    "    grid=RandomizedSearchCV(estimator=rfr,param_distributions=param_grid,random_state=42,n_jobs=-1)\n",
    "    grid.fit(x_train,y_train)\n",
    "    return grid.predict(x_test)\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_scaledacc = pd.DataFrame(ss.fit_transform(dfacc),columns = dfacc.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:31: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n"
     ]
    }
   ],
   "source": [
    "#predictions ya=svm yb=random forest yc=decision tree yd=stacking\n",
    "tp=0\n",
    "tp1=0\n",
    "tp2=0\n",
    "ya,yb,yc,yd=[],[],[],[]\n",
    "yprobsvm,yprobrf,yprobstack=[],[],[]\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn import svm\n",
    "from sklearn.metrics import confusion_matrix\n",
    "for i in range(0,1561,40):\n",
    "    x_train=df_scaledacc[i:i+15]\n",
    "    df22=df_scaledacc[i+20:i+35]\n",
    "    df41=x_train.append(df22, ignore_index = True) \n",
    "    x_train=df41\n",
    "    x_test=df_scaledacc[i+15:i+20]\n",
    "    df23=df_scaledacc[i+35:i+40]\n",
    "    df42=x_test.append(df23, ignore_index = True) \n",
    "    x_test=df42\n",
    "    y_train=[0 for x in range(15)]+[1 for x in range(15)]\n",
    "    y_train=pd.DataFrame(y_train,columns=[\"Type\"])\n",
    "    y_test=[0 for x in range(5)]+[1 for x in range(5)]\n",
    "    y_test=pd.DataFrame(y_test,columns=[\"Type\"])\n",
    "    clf=svm.SVC(random_state=0,probability=True)\n",
    "    rf = RandomForestClassifier(random_state=0)\n",
    "    clf.fit(x_train,y_train)\n",
    "    y1=clf.predict(x_test)\n",
    "    yprobsvm.extend(clf.predict_proba(x_test))\n",
    "    ya.extend(y1)\n",
    "    rf.fit(x_train, y_train);\n",
    "    y1=rf.predict(x_test)\n",
    "    yprobrf.extend(rf.predict_proba(x_test))\n",
    "    yb.extend(y1)\n",
    "    clf1 = DecisionTreeClassifier(random_state=0)\n",
    "    clf1.fit(x_train,y_train)\n",
    "    y1=clf.predict(x_test)\n",
    "    yc.extend(y1)\n",
    "    y1=stacking(x_train,y_train,x_test)\n",
    "    yd.extend(y1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [],
   "source": [
    "#cf1=svm cf2=random forest cf3=decision tree cf4=stacking\n",
    "\n",
    "cf1=confusion_matrix(y_true,ya)\n",
    "cf2=confusion_matrix(y_true,yb)\n",
    "cf3=confusion_matrix(y_true,yc)\n",
    "cf4=confusion_matrix(y_true,yd)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[194,   6],\n",
       "       [ 28, 172]], dtype=int64)"
      ]
     },
     "execution_count": 205,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cf1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[191,   9],\n",
       "       [ 18, 182]], dtype=int64)"
      ]
     },
     "execution_count": 206,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cf2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[190,  10],\n",
       "       [ 16, 184]], dtype=int64)"
      ]
     },
     "execution_count": 207,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cf4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import accuracy_score\n",
    "svm=accuracy_score(y_true,ya)\n",
    "randomforest=accuracy_score(y_true, yb)\n",
    "decision_trees=accuracy_score(y_true,yc)\n",
    "stacked=accuracy_score(y_true,yd)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "91.5"
      ]
     },
     "execution_count": 209,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "svm*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "93.25"
      ]
     },
     "execution_count": 210,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "randomforest*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "93.5"
      ]
     },
     "execution_count": 211,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stacked*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\mlxtend\\classifier\\stacking_classification.py:189: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  clf.fit(X, y)\n",
      "C:\\Users\\Arijit\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n"
     ]
    }
   ],
   "source": [
    "#predictions ya=svm yb=random forest yc=decision tree yd=stacking\n",
    "tp=0\n",
    "tp1=0\n",
    "tp2=0\n",
    "yprob1=[]\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn import svm\n",
    "from sklearn.metrics import confusion_matrix\n",
    "for i in range(0,1561,40):\n",
    "    x_train=df_scaledacc[i:i+15]\n",
    "    df22=df_scaledacc[i+20:i+35]\n",
    "    df41=x_train.append(df22, ignore_index = True) \n",
    "    x_train=df41\n",
    "    x_test=df_scaledacc[i+15:i+20]\n",
    "    df23=df_scaledacc[i+35:i+40]\n",
    "    df42=x_test.append(df23, ignore_index = True) \n",
    "    x_test=df42\n",
    "    y_train=[0 for x in range(15)]+[1 for x in range(15)]\n",
    "    y_train=pd.DataFrame(y_train,columns=[\"Type\"])\n",
    "    y_test=[0 for x in range(5)]+[1 for x in range(5)]\n",
    "    y_test=pd.DataFrame(y_test,columns=[\"Type\"])\n",
    "    y1=stackingprob(x_train,y_train,x_test)\n",
    "    yprob1.extend(y1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "metadata": {},
   "outputs": [],
   "source": [
    "yproblr=[]\n",
    "yprobsvm1,yprobrf1=[],[]\n",
    "for i in yprob1:\n",
    "    yproblr.append(i[1])\n",
    "for i in yprobsvm:\n",
    "    yprobsvm1.append(i[1])\n",
    "for i in yprobrf:\n",
    "    yprobrf1.append(i[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import roc_curve\n",
    "from sklearn.metrics import roc_auc_score\n",
    "...\n",
    "# calculate roc curve\n",
    "fprsvm,tprsvm,thresholdsvm=roc_curve(y_true, yprobsvm1)\n",
    "fprf,tprf,thresholdsrf=roc_curve(y_true,yprobrf1)\n",
    "fpr, tpr, thresholds = roc_curve(y_true, yproblr)\n",
    "fnrsvm=[1-x for x in tprsvm]\n",
    "fnrf=[1-x for x in tprf]\n",
    "fnr=[1-x for x in tpr]\n",
    "from scipy.optimize import brentq\n",
    "from scipy.interpolate import interp1d\n",
    "eersvm = brentq(lambda x : 1. - x - interp1d(fprsvm, tprsvm)(x), 0., 1.)\n",
    "threshsvm = interp1d(fprsvm, thresholdsvm)(eersvm)\n",
    "eerf = brentq(lambda x : 1. - x - interp1d(fprf, tprf)(x), 0., 1.)\n",
    "thresh = interp1d(fprf, thresholdsrf)(eer)\n",
    "eer = brentq(lambda x : 1. - x - interp1d(fpr, tpr)(x), 0., 1.)\n",
    "thresh = interp1d(fpr, thresholds)(eer)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.08000000000032154"
      ]
     },
     "execution_count": 215,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eersvm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0649999999993564"
      ]
     },
     "execution_count": 216,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eerf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.08000000000003482"
      ]
     },
     "execution_count": 217,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x2ad6325e208>]"
      ]
     },
     "execution_count": 218,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(fpr)\n",
    "plt.plot(fnr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x2ad63293708>]"
      ]
     },
     "execution_count": 219,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(fprsvm)\n",
    "plt.plot(fnrsvm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x2ad63285848>]"
      ]
     },
     "execution_count": 220,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(fprf)\n",
    "plt.plot(fnrf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}