transport_usage_prediction.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Transport Usage Prediction\n",
    "\n",
    "**Team Members**:\n",
    "- Timur Kasatkin\n",
    "- Sergey Pinkevich\n",
    "\n",
    "**Team name**: rzd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": true
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true,
    "run_control": {
     "frozen": false,
     "read_only": true
    }
   },
   "outputs": [],
   "source": [
    "import sklearn as skl\n",
    "import sklearn\n",
    "import pandas as pd\n",
    "import scipy\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "rcParams['figure.figsize'] = (5,3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "code_folding": [],
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>hour</th>\n",
       "      <th>holiday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>weather_type</th>\n",
       "      <th>temp</th>\n",
       "      <th>ftemp</th>\n",
       "      <th>humidity</th>\n",
       "      <th>wind_speed</th>\n",
       "      <th>casual</th>\n",
       "      <th>subscribed</th>\n",
       "      <th>usage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2011-01-03</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.19699999999999998</td>\n",
       "      <td>0.44</td>\n",
       "      <td>0.3582</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2011-01-03</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.1667</td>\n",
       "      <td>0.44</td>\n",
       "      <td>0.4179</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2011-01-03</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.1364</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.3881</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2011-01-03</td>\n",
       "      <td>5</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.1364</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.2836</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2011-01-03</td>\n",
       "      <td>6</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.14</td>\n",
       "      <td>-</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.3881</td>\n",
       "      <td>0</td>\n",
       "      <td>90</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        date  hour holiday workingday  weekday  weather_type  temp  \\\n",
       "0 2011-01-03     0   False       True        1             1  0.22   \n",
       "1 2011-01-03     1   False       True        1             1  0.20   \n",
       "2 2011-01-03     4   False       True        1             1  0.16   \n",
       "3 2011-01-03     5   False       True        1             1  0.16   \n",
       "4 2011-01-03     6   False       True        1             1  0.14   \n",
       "\n",
       "                 ftemp  humidity  wind_speed  casual  subscribed  usage  \n",
       "0  0.19699999999999998      0.44      0.3582       0          15     15  \n",
       "1               0.1667      0.44      0.4179       0           6      6  \n",
       "2               0.1364      0.47      0.3881       0           3      3  \n",
       "3               0.1364      0.47      0.2836       0           9      9  \n",
       "4                    -      0.50      0.3881       0          90     90  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df = pd.read_csv(\n",
    "    \"train.csv\",\n",
    "    parse_dates=[\"date\"],\n",
    "    dtype={\n",
    "        \"hour\": int8,\n",
    "        \"holiday\": bool,\n",
    "        \"workingday\": bool,\n",
    "        \"weekday\": int8,\n",
    "        \"weather_type\": int8\n",
    "    })\n",
    "train_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. Data investigation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hour</th>\n",
       "      <th>holiday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>weather_type</th>\n",
       "      <th>temp</th>\n",
       "      <th>humidity</th>\n",
       "      <th>wind_speed</th>\n",
       "      <th>casual</th>\n",
       "      <th>subscribed</th>\n",
       "      <th>usage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>hour</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000468</td>\n",
       "      <td>0.002209</td>\n",
       "      <td>-0.003679</td>\n",
       "      <td>-0.029682</td>\n",
       "      <td>0.131916</td>\n",
       "      <td>-0.271771</td>\n",
       "      <td>0.127540</td>\n",
       "      <td>0.028011</td>\n",
       "      <td>0.371302</td>\n",
       "      <td>0.098023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>holiday</th>\n",
       "      <td>0.000468</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.247877</td>\n",
       "      <td>-0.094536</td>\n",
       "      <td>-0.013434</td>\n",
       "      <td>-0.008131</td>\n",
       "      <td>0.006655</td>\n",
       "      <td>-0.019608</td>\n",
       "      <td>0.002130</td>\n",
       "      <td>-0.041417</td>\n",
       "      <td>-0.005842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>workingday</th>\n",
       "      <td>0.002209</td>\n",
       "      <td>-0.247877</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.036898</td>\n",
       "      <td>0.057356</td>\n",
       "      <td>0.053103</td>\n",
       "      <td>0.025730</td>\n",
       "      <td>-0.004804</td>\n",
       "      <td>-0.015372</td>\n",
       "      <td>0.134013</td>\n",
       "      <td>0.010684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weekday</th>\n",
       "      <td>-0.003679</td>\n",
       "      <td>-0.094536</td>\n",
       "      <td>0.036898</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000816</td>\n",
       "      <td>0.000837</td>\n",
       "      <td>-0.043147</td>\n",
       "      <td>0.025951</td>\n",
       "      <td>-0.000206</td>\n",
       "      <td>0.015390</td>\n",
       "      <td>0.002738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weather_type</th>\n",
       "      <td>-0.029682</td>\n",
       "      <td>-0.013434</td>\n",
       "      <td>0.057356</td>\n",
       "      <td>0.000816</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.083150</td>\n",
       "      <td>0.417010</td>\n",
       "      <td>0.044447</td>\n",
       "      <td>-0.015864</td>\n",
       "      <td>-0.131915</td>\n",
       "      <td>-0.040555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>temp</th>\n",
       "      <td>0.131916</td>\n",
       "      <td>-0.008131</td>\n",
       "      <td>0.053103</td>\n",
       "      <td>0.000837</td>\n",
       "      <td>-0.083150</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.032506</td>\n",
       "      <td>-0.035742</td>\n",
       "      <td>0.040763</td>\n",
       "      <td>0.332923</td>\n",
       "      <td>0.103055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>humidity</th>\n",
       "      <td>-0.271771</td>\n",
       "      <td>0.006655</td>\n",
       "      <td>0.025730</td>\n",
       "      <td>-0.043147</td>\n",
       "      <td>0.417010</td>\n",
       "      <td>-0.032506</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.282958</td>\n",
       "      <td>-0.036357</td>\n",
       "      <td>-0.268173</td>\n",
       "      <td>-0.086425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wind_speed</th>\n",
       "      <td>0.127540</td>\n",
       "      <td>-0.019608</td>\n",
       "      <td>-0.004804</td>\n",
       "      <td>0.025951</td>\n",
       "      <td>0.044447</td>\n",
       "      <td>-0.035742</td>\n",
       "      <td>-0.282958</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.010544</td>\n",
       "      <td>0.080219</td>\n",
       "      <td>0.025531</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  hour   holiday  workingday   weekday  weather_type  \\\n",
       "hour          1.000000  0.000468    0.002209 -0.003679     -0.029682   \n",
       "holiday       0.000468  1.000000   -0.247877 -0.094536     -0.013434   \n",
       "workingday    0.002209 -0.247877    1.000000  0.036898      0.057356   \n",
       "weekday      -0.003679 -0.094536    0.036898  1.000000      0.000816   \n",
       "weather_type -0.029682 -0.013434    0.057356  0.000816      1.000000   \n",
       "temp          0.131916 -0.008131    0.053103  0.000837     -0.083150   \n",
       "humidity     -0.271771  0.006655    0.025730 -0.043147      0.417010   \n",
       "wind_speed    0.127540 -0.019608   -0.004804  0.025951      0.044447   \n",
       "\n",
       "                  temp  humidity  wind_speed    casual  subscribed     usage  \n",
       "hour          0.131916 -0.271771    0.127540  0.028011    0.371302  0.098023  \n",
       "holiday      -0.008131  0.006655   -0.019608  0.002130   -0.041417 -0.005842  \n",
       "workingday    0.053103  0.025730   -0.004804 -0.015372    0.134013  0.010684  \n",
       "weekday       0.000837 -0.043147    0.025951 -0.000206    0.015390  0.002738  \n",
       "weather_type -0.083150  0.417010    0.044447 -0.015864   -0.131915 -0.040555  \n",
       "temp          1.000000 -0.032506   -0.035742  0.040763    0.332923  0.103055  \n",
       "humidity     -0.032506  1.000000   -0.282958 -0.036357   -0.268173 -0.086425  \n",
       "wind_speed   -0.035742 -0.282958    1.000000  0.010544    0.080219  0.025531  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.corr()[:\"wind_speed\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "holiday\n",
      "False    175.949792\n",
      "True     206.072829\n",
      "Name: casual, dtype: float64\n",
      "holiday\n",
      "False    461.585134\n",
      "True     346.218487\n",
      "Name: subscribed, dtype: float64\n",
      "holiday\n",
      "False    637.534926\n",
      "True     552.291317\n",
      "Name: usage, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(train_df.pivot_table(values='casual',index='holiday'),\\\n",
    "     train_df.pivot_table(values='subscribed',index='holiday'),\\\n",
    "     train_df.pivot_table(values='usage',index='holiday'),sep='\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdUAAAEwCAYAAADhMOvGAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f53fb644080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(train_df.weather_type);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Casual"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAc8AAAEbCAYAAAC81w8SAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\npPAUEREJkcJTREQkRApPERGREP1/lBJeHFwGbHsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f91f5192160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_df.casual.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAbgAAAExCAYAAAAOdbejAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nkSQx4IiISJIYcEREJEn/D7IuyrjFeI7FAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f91f261a7f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_df.pivot_table(values='casual',index='hour',aggfunc=np.mean).plot.bar();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAc8AAAExCAYAAAAa4ClCAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nL4kAmOQJAJM8AWCSJwBMAekjyA4l/jgwAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f91f1c3b518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_df.pivot_table(values='casual',index='hour',aggfunc=np.max).plot.bar();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAbgAAAEpCAYAAADh8DdVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f53f8e78080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_df.pivot_table(values='casual', index='weekday', aggfunc=np.mean).plot.bar();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAqgAAAHMCAYAAAAZNVqNAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nyn8AKPnaMNX95o4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f53f8991908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_df.pivot_table(values='casual', index='hour', columns='weekday', aggfunc=np.mean).plot.bar(figsize=(8,5));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAckAAAEwCAYAAADcooqgAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f53fb482630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_df.pivot_table(values='casual', index='temp', aggfunc=np.mean).plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Subscribed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAcAAAAEbCAYAAABN3FSfAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nfJ+fUeD61ZAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f91f26e1c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_df.subscribed.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAcAAAAExCAYAAADr63LPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nH59jfmIUKHOTAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f53fdc94f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_df.pivot_table(values='subscribed', index='hour', aggfunc=np.mean).plot.bar();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAbgAAAEpCAYAAADh8DdVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f53f8da7390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_df.pivot_table(values='subscribed', index='weather_type', aggfunc=np.mean).plot.bar();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. Data Preprocessing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/timur/dev_ides/anaconda3/lib/python3.5/site-packages/sklearn/utils/validation.py:429: DataConversionWarning: Data with input dtype int64 was converted to float64 by MinMaxScaler.\n",
      "  warnings.warn(msg, _DataConversionWarning)\n"
     ]
    }
   ],
   "source": [
    "date_scaler = MinMaxScaler()\n",
    "train_df.date = date_scaler.fit_transform(train_df.date.astype(int)[:,newaxis])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ftemp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "ftemp_nonna_df = train_df[train_df.ftemp != '-']\n",
    "ftemp_mean_diff = (ftemp_nonna_df.temp - ftemp_nonna_df.ftemp.astype(float)).mean()\n",
    "\n",
    "train_df[\"ftemp_mean_diff\"] = train_df.ftemp\n",
    "train_df.loc[train_df.ftemp == '-', 'ftemp_mean_diff'] = train_df.temp - ftemp_mean_diff\n",
    "train_df.ftemp_mean_diff = train_df.ftemp_mean_diff.astype(float)\n",
    "\n",
    "train_df = pd.concat([train_df.loc[:,:\"ftemp\"], train_df.ftemp_mean_diff, train_df.loc[:,\"humidity\":\"usage\"]],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>hour</th>\n",
       "      <th>holiday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>weather_type</th>\n",
       "      <th>temp</th>\n",
       "      <th>ftemp</th>\n",
       "      <th>ftemp_mean_diff</th>\n",
       "      <th>humidity</th>\n",
       "      <th>wind_speed</th>\n",
       "      <th>casual</th>\n",
       "      <th>subscribed</th>\n",
       "      <th>usage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.19699999999999998</td>\n",
       "      <td>0.197000</td>\n",
       "      <td>0.44</td>\n",
       "      <td>0.3582</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.1667</td>\n",
       "      <td>0.166700</td>\n",
       "      <td>0.44</td>\n",
       "      <td>0.4179</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.1364</td>\n",
       "      <td>0.136400</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.3881</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0</td>\n",
       "      <td>5</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.1364</td>\n",
       "      <td>0.136400</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.2836</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0</td>\n",
       "      <td>6</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.14</td>\n",
       "      <td>-</td>\n",
       "      <td>0.119043</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.3881</td>\n",
       "      <td>0</td>\n",
       "      <td>90</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   date  hour holiday workingday  weekday  weather_type  temp  \\\n",
       "0   0.0     0   False       True        1             1  0.22   \n",
       "1   0.0     1   False       True        1             1  0.20   \n",
       "2   0.0     4   False       True        1             1  0.16   \n",
       "3   0.0     5   False       True        1             1  0.16   \n",
       "4   0.0     6   False       True        1             1  0.14   \n",
       "\n",
       "                 ftemp  ftemp_mean_diff  humidity  wind_speed  casual  \\\n",
       "0  0.19699999999999998         0.197000      0.44      0.3582       0   \n",
       "1               0.1667         0.166700      0.44      0.4179       0   \n",
       "2               0.1364         0.136400      0.47      0.3881       0   \n",
       "3               0.1364         0.136400      0.47      0.2836       0   \n",
       "4                    -         0.119043      0.50      0.3881       0   \n",
       "\n",
       "   subscribed  usage  \n",
       "0          15     15  \n",
       "1           6      6  \n",
       "2           3      3  \n",
       "3           9      9  \n",
       "4          90     90  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data forming"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "code_folding": [],
    "collapsed": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "def extract_train(df, as_matrix=True):\n",
    "    discrete = df[[\"hour\",\"holiday\",\"workingday\",\"weekday\"]]\n",
    "    continious = df[[\"date\",\"temp\",\"ftemp_mean_diff\",\"humidity\",\"wind_speed\"]]\n",
    "    X_train = pd.concat((continious, discrete),axis=1)\n",
    "    y_subscribed_train = df.subscribed.astype(int)\n",
    "    y_casual_train = df.casual.astype(int)\n",
    "    y_usage_train = df.usage.astype(int)\n",
    "    if as_matrix:\n",
    "        return X_train.as_matrix(), \\\n",
    "                y_subscribed_train.as_matrix(), \\\n",
    "                y_casual_train.as_matrix(), \\\n",
    "                y_usage_train.as_matrix()\n",
    "    return X_train, y_subscribed_train, y_casual_train, y_usage_train"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. Model Selection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pd.options.display.float_format = '{:,.3f}'.format"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "X_train, y_subscribed_train, y_casual_train, y_usage_train = extract_train(train_df,as_matrix=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "from sklearn.tree import DecisionTreeRegressor\n",
    "from sklearn.svm import NuSVR,LinearSVR,SVR\n",
    "from sklearn.neighbors import KNeighborsRegressor\n",
    "from sklearn.linear_model import SGDRegressor\n",
    "from sklearn.ensemble import RandomForestRegressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics import mean_absolute_error,r2_score\n",
    "from sklearn.model_selection import train_test_split, KFold, GridSearchCV, cross_val_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "code_folding": [],
    "collapsed": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "def MAE(est,X,y):\n",
    "    return mean_absolute_error(y,est.predict(X))\n",
    "\n",
    "def NegMAE(est,X,y):\n",
    "    return -MAE(est,X,y)\n",
    "\n",
    "def R2(est,X,y):\n",
    "    return r2_score(y,est.predict(X))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "def cross_validation_scores(clf, X, y, n_splits = 10, scores = [MAE, R2],output=True):\n",
    "    kf = KFold(n_splits=n_splits,shuffle=True)\n",
    "    final = []\n",
    "    \n",
    "    for train_inds, test_inds in kf.split(X):\n",
    "        X_train, y_train = X[train_inds], y[train_inds]\n",
    "        clf.fit(X_train, y_train)\n",
    "        X_test, y_test = X[test_inds], y[test_inds]\n",
    "        res = []\n",
    "        for score in scores:\n",
    "            sc = score(clf,X_test,y_test)\n",
    "            res.append(sc)\n",
    "            if output:\n",
    "                print(score.__name__,sc,sep=' : ',end='; ')\n",
    "        final.append(tuple(res))\n",
    "        if output:\n",
    "            print()\n",
    "    return tuple(np.array(z) for z in zip(*final))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "clfs = [DecisionTreeRegressor(),NuSVR(),LinearSVR(),SVR(),\\\n",
    "        KNeighborsRegressor(),SGDRegressor(),RandomForestRegressor()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "first_scores_df = pd.DataFrame(columns=pd.MultiIndex.from_arrays(\\\n",
    "                                                 [['Subscribed','Subscribed','Casual','Casual','Usage','Usage'],\\\n",
    "                                                  ['MAE','R2','MAE','R2','MAE','R2']]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "for clf in clfs:\n",
    "    subscribed_maes, subscribed_r2s = cross_validation_scores(clf,X_train,y_subscribed_train,output=False)\n",
    "    casual_maes, casual_r2s = cross_validation_scores(clf,X_train,y_casual_train,output=False)\n",
    "    usage_maes, usage_r2s = cross_validation_scores(clf,X_train, y_usage_train, output=False)\n",
    "    first_scores_df.loc[type(clf).__name__] = (subscribed_maes.mean(),subscribed_r2s.mean(),\\\n",
    "                                               casual_maes.mean(),casual_r2s.mean(),\\\n",
    "                                               usage_maes.mean(),usage_r2s.mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"2\" halign=\"left\">Subscribed</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Casual</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Usage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>MAE</th>\n",
       "      <th>R2</th>\n",
       "      <th>MAE</th>\n",
       "      <th>R2</th>\n",
       "      <th>MAE</th>\n",
       "      <th>R2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>DecisionTreeRegressor</th>\n",
       "      <td>84.744</td>\n",
       "      <td>0.889</td>\n",
       "      <td>104.087</td>\n",
       "      <td>-91.047</td>\n",
       "      <td>163.005</td>\n",
       "      <td>-4.630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NuSVR</th>\n",
       "      <td>234.188</td>\n",
       "      <td>0.405</td>\n",
       "      <td>125.718</td>\n",
       "      <td>0.263</td>\n",
       "      <td>363.947</td>\n",
       "      <td>0.263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LinearSVR</th>\n",
       "      <td>254.630</td>\n",
       "      <td>0.230</td>\n",
       "      <td>124.888</td>\n",
       "      <td>0.217</td>\n",
       "      <td>365.964</td>\n",
       "      <td>0.205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SVR</th>\n",
       "      <td>206.942</td>\n",
       "      <td>0.422</td>\n",
       "      <td>117.613</td>\n",
       "      <td>0.338</td>\n",
       "      <td>322.744</td>\n",
       "      <td>0.310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KNeighborsRegressor</th>\n",
       "      <td>87.611</td>\n",
       "      <td>0.887</td>\n",
       "      <td>118.137</td>\n",
       "      <td>-18.712</td>\n",
       "      <td>194.932</td>\n",
       "      <td>-2.091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SGDRegressor</th>\n",
       "      <td>284.286</td>\n",
       "      <td>0.286</td>\n",
       "      <td>152.678</td>\n",
       "      <td>0.084</td>\n",
       "      <td>378.298</td>\n",
       "      <td>0.292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RandomForestRegressor</th>\n",
       "      <td>66.532</td>\n",
       "      <td>0.935</td>\n",
       "      <td>106.597</td>\n",
       "      <td>-19.978</td>\n",
       "      <td>162.028</td>\n",
       "      <td>-1.401</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Subscribed        Casual           Usage       \n",
       "                             MAE    R2     MAE      R2     MAE     R2\n",
       "DecisionTreeRegressor     84.744 0.889 104.087 -91.047 163.005 -4.630\n",
       "NuSVR                    234.188 0.405 125.718   0.263 363.947  0.263\n",
       "LinearSVR                254.630 0.230 124.888   0.217 365.964  0.205\n",
       "SVR                      206.942 0.422 117.613   0.338 322.744  0.310\n",
       "KNeighborsRegressor       87.611 0.887 118.137 -18.712 194.932 -2.091\n",
       "SGDRegressor             284.286 0.286 152.678   0.084 378.298  0.292\n",
       "RandomForestRegressor     66.532 0.935 106.597 -19.978 162.028 -1.401"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "first_scores_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "casual_df = train_df.copy()\n",
    "subscribed_df = train_df.copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model tuning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Outliers removal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAgUAAAquCAYAAAACqCFHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f91f18d7780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(train_df,x_vars=['casual','subscribed'],y_vars=set(train_df.columns)-{'casual','subscribed','ftemp'});"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Casual"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count     13084.000000\n",
       "mean        176.771706\n",
       "std        2303.968546\n",
       "min           0.000000\n",
       "25%          16.000000\n",
       "50%          64.000000\n",
       "75%         192.000000\n",
       "90%         368.000000\n",
       "95%         556.000000\n",
       "99%         952.000000\n",
       "99.5%      1062.340000\n",
       "99.8%      1207.336000\n",
       "99.9%      1300.000000\n",
       "max      151915.000000\n",
       "Name: casual, dtype: float64"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "casual_df.describe(percentiles=[.25,.5,.75,.9,.95,.99,.995,.998,.999])['casual']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "clf = RandomForestRegressor(n_estimators=100, n_jobs=-1)\n",
    "cv = KFold(n_splits=10,shuffle=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def mean_r2(df):\n",
    "    X_casual_train, _, y_casual_train, _ = extract_train(df,as_matrix=True)\n",
    "    return cross_val_score(clf, X_casual_train, y_casual_train, cv=cv,scoring='r2',n_jobs=-1).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-45.960133491713862"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_r2(casual_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.91793973403355955"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_r2(casual_df[casual_df.casual < 10000])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train_casual_df = casual_df[casual_df.casual < 10000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9139078751984242"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_r2(casual_df[~((casual_df.workingday == 1) & (casual_df.casual > 1000))])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-39.914812053054973"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_r2(casual_df[~((casual_df.weekday == 3) & (casual_df.casual > 800))])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.91600347435136309"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_r2(casual_df[~(((casual_df.weather_type == 3) & (casual_df.casual > 800)) | \\\n",
    "                   ((casual_df.weather_type == 4) & (casual_df.casual > 1200)))])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.91592006741429643"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_r2(casual_df[casual_df.wind_speed <= 0.85])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.91659653877215774"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_r2(casual_df[casual_df.weather_type != 4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.91449677734235979"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_r2(casual_df[(0.1 <= casual_df.temp) & (casual_df.temp <= 0.9)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.91654978525871711"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_r2(casual_df[~((casual_df.workingday == 1) & (casual_df.casual > 1000))])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Profit"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- leave only casual < 10000"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Do not help"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- removal of working_day = 1 and casual > 1000\n",
    "- removal of weekday = 3 and casual > 800\n",
    "- removal of (weather_type = 3 and casual > 800) and (weather_type = 4 and casual > 1200)\n",
    "- removal wind_speed > 0.85 \n",
    "- removal of weather_type = 4 (there is only 3 such tuples)\n",
    "- removal of temp < 0.1 and temp > 0.9\n",
    "- removal of workingday = 1 and casual > 1000"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Subscribed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "collapsed": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "X_subscribed_train, y_subscribed_train, _, _ = extract_train(subscribed_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {
    "collapsed": false,
    "run_control": {
     "frozen": true,
     "read_only": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For n_est=200 : R2: 0.939926563832\n",
      "For n_est=210 : R2: 0.939746038418\n",
      "For n_est=220 : R2: 0.940425535913\n",
      "For n_est=230 : R2: 0.93963050926\n",
      "For n_est=240 : R2: 0.94064818669\n",
      "For n_est=250 : R2: 0.938848958195\n",
      "For n_est=260 : R2: 0.940283265422\n",
      "For n_est=270 : R2: 0.939913017628\n",
      "For n_est=280 : R2: 0.939475640393\n",
      "For n_est=290 : R2: 0.942021821506\n"
     ]
    }
   ],
   "source": [
    "for n_est in range(200,300,10):\n",
    "    scores = cross_val_score(RandomForestRegressor(n_estimators=n_est,n_jobs=-1), \\\n",
    "                                     X_train, y_subscribed_train, scoring='r2', n_jobs=-1, cv=cv)\n",
    "    print(\"For n_est=%d :\" % n_est, \"R2:\", scores.mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For max_features=1 : R2: 0.793894288581\n",
      "For max_features=2 : R2: 0.879083546614\n",
      "For max_features=3 : R2: 0.925264871079\n",
      "For max_features=4 : R2: 0.942397537406\n",
      "For max_features=5 : R2: 0.946951606298\n",
      "For max_features=6 : R2: 0.946871772759\n",
      "For max_features=7 : R2: 0.944703138209\n",
      "For max_features=8 : R2: 0.943062524152\n",
      "For max_features=9 : R2: 0.940073429783\n"
     ]
    }
   ],
   "source": [
    "for i in range(1,10):\n",
    "    scores = cross_val_score(RandomForestRegressor(n_estimators=270,max_features=i,n_jobs=-1), \\\n",
    "                                     X_train, y_subscribed_train, scoring='r2', n_jobs=-1, cv=cv)\n",
    "    print(\"For max_features=%d :\" % i, \"R2:\", scores.mean())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Casual"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "collapsed": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "train_casual_df = train_df[train_df.casual < 10000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "X_casual_train, _, y_casual_train, _ = extract_train(train_casual_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For n_est=200 : MAE: 33.0790162051 ; R2: 0.916583590308\n",
      "For n_est=210 : MAE: 33.0971380145 ; R2: 0.917153400458\n",
      "For n_est=220 : MAE: 33.1067294896 ; R2: 0.916073628751\n",
      "For n_est=230 : MAE: 32.9764950982 ; R2: 0.91829618165\n",
      "For n_est=240 : MAE: 32.9606187764 ; R2: 0.917648886224\n",
      "For n_est=250 : MAE: 32.9652875847 ; R2: 0.917966815538\n",
      "For n_est=260 : MAE: 33.0891449385 ; R2: 0.91648191744\n",
      "For n_est=270 : MAE: 32.8381271066 ; R2: 0.91843949762\n",
      "For n_est=280 : MAE: 32.8451285961 ; R2: 0.917784835165\n",
      "For n_est=290 : MAE: 32.9420387301 ; R2: 0.917653571926\n"
     ]
    }
   ],
   "source": [
    "results = []\n",
    "for n_est in range(200,300,10):\n",
    "    scores = cross_validation_scores(RandomForestRegressor(n_estimators=n_est,n_jobs=-1), \\\n",
    "                                     X_casual_train, y_casual_train,\\\n",
    "                                    scores=[MAE,R2], output=False)\n",
    "    results.append(scores[1].mean())\n",
    "    print(\"For n_est=%d :\" % n_est,\"MAE:\",scores[0].mean(),\";\",\"R2:\", scores[1].mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For max_features=1 : MAE: 39.636374992 ; R2: 0.881607298654\n",
      "For max_features=2 : MAE: 35.7859867442 ; R2: 0.902998355252\n",
      "For max_features=3 : MAE: 33.6651545272 ; R2: 0.914611082353\n",
      "For max_features=4 : MAE: 32.9953115692 ; R2: 0.917952663821\n",
      "For max_features=5 : MAE: 32.7741714359 ; R2: 0.919044754785\n",
      "For max_features=6 : MAE: 32.730906058 ; R2: 0.919221017481\n",
      "For max_features=7 : MAE: 32.7901768038 ; R2: 0.918289572782\n",
      "For max_features=8 : MAE: 32.819947784 ; R2: 0.918857489003\n",
      "For max_features=9 : MAE: 32.8704771133 ; R2: 0.917878545261\n"
     ]
    }
   ],
   "source": [
    "for i in range(1,10):\n",
    "    scores = cross_validation_scores(RandomForestRegressor(n_estimators=270,max_features=i,n_jobs=-1), \\\n",
    "                                     X_casual_train, y_casual_train,\\\n",
    "                                    scores=[MAE,R2], output=False)\n",
    "    print(\"For max_features=%d :\" % i,\"MAE:\",scores[0].mean(),\";\",\"R2:\", scores[1].mean())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4. Prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestRegressor(bootstrap=True, criterion='mse', max_depth=None,\n",
       "           max_features=6, max_leaf_nodes=None, min_impurity_split=1e-07,\n",
       "           min_samples_leaf=1, min_samples_split=2,\n",
       "           min_weight_fraction_leaf=0.0, n_estimators=270, n_jobs=-1,\n",
       "           oob_score=False, random_state=None, verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "casual_clf = RandomForestRegressor(n_estimators=270, max_features=6, n_jobs=-1)\n",
    "casual_clf.fit(X_casual_train, y_casual_train)\n",
    "subscribed_clf = RandomForestRegressor(n_estimators=270, max_features=6, n_jobs=-1)\n",
    "subscribed_clf.fit(X_subscribed_train, y_subscribed_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>date</th>\n",
       "      <th>hour</th>\n",
       "      <th>holiday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>weather_type</th>\n",
       "      <th>temp</th>\n",
       "      <th>ftemp</th>\n",
       "      <th>humidity</th>\n",
       "      <th>wind_speed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0.24</td>\n",
       "      <td>-</td>\n",
       "      <td>0.81</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.2727</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0.22</td>\n",
       "      <td>-</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.2879</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.2879</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Id       date  hour holiday workingday  weekday  weather_type  temp  \\\n",
       "0   0 2011-01-01     0   False      False        6             1  0.24   \n",
       "1   1 2011-01-01     1   False      False        6             1  0.22   \n",
       "2   2 2011-01-01     2   False      False        6             1  0.22   \n",
       "3   3 2011-01-01     3   False      False        6             1  0.24   \n",
       "4   4 2011-01-01     4   False      False        6             1  0.24   \n",
       "\n",
       "    ftemp  humidity  wind_speed  \n",
       "0       -      0.81         0.0  \n",
       "1  0.2727      0.80         0.0  \n",
       "2       -      0.80         0.0  \n",
       "3  0.2879      0.75         0.0  \n",
       "4  0.2879      0.75         0.0  "
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_df = pd.read_csv('test.csv',\\\n",
    "                      parse_dates=[\"date\"],\\\n",
    "                      dtype={\n",
    "                          \"hour\": int8,\n",
    "                          \"holiday\": bool,\n",
    "                          \"workingday\": bool,\n",
    "                          \"weekday\": int8,\n",
    "                          \"weather_type\": int8\n",
    "                      })\n",
    "test_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "test_df[\"date\"] = date_scaler.transform(test_df.date.astype(int)[:,newaxis])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "test_df[\"ftemp_mean_diff\"] = test_df.ftemp\n",
    "test_df.loc[test_df.ftemp == '-', 'ftemp_mean_diff'] = test_df.temp - ftemp_mean_diff\n",
    "test_df[\"ftemp_mean_diff\"] = test_df.ftemp_mean_diff.astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>date</th>\n",
       "      <th>hour</th>\n",
       "      <th>holiday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>weather_type</th>\n",
       "      <th>temp</th>\n",
       "      <th>ftemp</th>\n",
       "      <th>humidity</th>\n",
       "      <th>wind_speed</th>\n",
       "      <th>ftemp_mean_diff</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>-0.002755</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0.24</td>\n",
       "      <td>-</td>\n",
       "      <td>0.81</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.219043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>-0.002755</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.2727</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.272700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>-0.002755</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0.22</td>\n",
       "      <td>-</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.199043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>-0.002755</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.2879</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.287900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>-0.002755</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.2879</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.287900</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Id      date  hour holiday workingday  weekday  weather_type  temp   ftemp  \\\n",
       "0   0 -0.002755     0   False      False        6             1  0.24       -   \n",
       "1   1 -0.002755     1   False      False        6             1  0.22  0.2727   \n",
       "2   2 -0.002755     2   False      False        6             1  0.22       -   \n",
       "3   3 -0.002755     3   False      False        6             1  0.24  0.2879   \n",
       "4   4 -0.002755     4   False      False        6             1  0.24  0.2879   \n",
       "\n",
       "   humidity  wind_speed  ftemp_mean_diff  \n",
       "0      0.81         0.0         0.219043  \n",
       "1      0.80         0.0         0.272700  \n",
       "2      0.80         0.0         0.199043  \n",
       "3      0.75         0.0         0.287900  \n",
       "4      0.75         0.0         0.287900  "
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "X_test = scipy.hstack((test_df[[\"date\",\"temp\",\"ftemp_mean_diff\",\"humidity\",\"wind_speed\"]].as_matrix(),\\\n",
    "                       pd.concat([test_df.hour, test_df.holiday, test_df.workingday, test_df.weekday],axis=1).as_matrix()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "res = scipy.hstack([test_df.Id.as_matrix()[:,newaxis],\\\n",
    "                    (casual_clf.predict(X_test) + subscribed_clf.predict(X_test))[:,newaxis]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {
    "collapsed": false,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "res_df = pd.DataFrame(data=res,columns=['Id','Expected'])\n",
    "res_df.Id = res_df.Id.astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {
    "collapsed": true,
    "run_control": {
     "frozen": false,
     "read_only": false
    }
   },
   "outputs": [],
   "source": [
    "res_df.to_csv('submission.csv',index=False)"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [conda root]",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  },
  "nav_menu": {
   "height": "236px",
   "width": "496px"
  },
  "toc": {
   "navigate_menu": true,
   "number_sections": false,
   "sideBar": true,
   "threshold": 6,
   "toc_cell": false,
   "toc_section_display": "block",
   "toc_window_display": true
  },
  "toc_position": {
   "height": "548px",
   "left": "0px",
   "right": "1145px",
   "top": "106px",
   "width": "178px"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}