dylanbstorey/Bad.ipynb

## Bad.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import pickle\n",
    "import gpxpy.geo\n",
    "\n",
    "\n",
    "%matplotlib inline\n",
    "sns.set_context('poster')\n",
    "\n",
    "assert pd.__version__ == '0.19.0'\n",
    "assert np.__version__ == '1.11.2'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"query_result.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(53528, 10)"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data['created_at'] = pd.to_datetime(data['created_at'])\n",
    "data['last_known_location_at']=pd.to_datetime(data.last_known_location_at)\n",
    "\n",
    "\n",
    "data['time_lag'] = data.created_at - data.last_known_location_at"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def get_s(data):\n",
    "    return data.time_lag.total_seconds()\n",
    "\n",
    "data['time_lag'] = data.apply(get_s,axis =1 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def h_dist(data):\n",
    "    return (gpxpy.geo.haversine_distance(data.job_location_lat, data.job_location_lng, data.last_known_location_lat, data.last_known_location_lng))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data['distance'] = data.apply(h_dist,axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.5/dist-packages/statsmodels/nonparametric/kdetools.py:20: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n",
      "  y = X[:m/2+1] + np.r_[0,X[m/2+1:],0]*1j\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fd4a1ddd3c8>"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABHIAAAMKCAYAAADpnWPOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nbcIgR5IkSZIkqU0Y5EiSJEmSJLWJ/wLnvDIHtXFIQwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd4a207d1d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(data.time_lag.dropna())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.5/dist-packages/statsmodels/nonparametric/kdetools.py:20: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n",
      "  y = X[:m/2+1] + np.r_[0,X[m/2+1:],0]*1j\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fd4a1877978>"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABHwAAAMKCAYAAAD3VFN9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd4a183f7b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(data.distance.dropna())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data = data[data.time_lag < .2e7]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data = data[data.distance < 5.25e6]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(46996, 12)"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "accepted = np.where(data.user_id == data______id, 1 , 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "created_at                 324\n",
       "recommendation_id          324\n",
       "job_id                     324\n",
       "last_known_location_at     324\n",
       "last_known_location_lat    324\n",
       "last_known_location_lng    324\n",
       "user_id                    324\n",
       "job_location_lat           324\n",
       "job_location_lng           324\n",
       "_______id                  324\n",
       "time_lag                   324\n",
       "distance                   324\n",
       "class                      324\n",
       "accepted                   324\n",
       "dtype: int64"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data.accepted == 1].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "estimator = RandomForestClassifier()\n",
    "features = data[['time_lag','distance']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',\n",
       "            max_depth=None, max_features='auto', max_leaf_nodes=None,\n",
       "            min_impurity_split=1e-07, min_samples_leaf=1,\n",
       "            min_samples_split=2, min_weight_fraction_leaf=0.0,\n",
       "            n_estimators=10, n_jobs=1, oob_score=False, random_state=None,\n",
       "            verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "estimator.fit(features , accepted)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.45541593,  0.54458407])"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "estimator.feature_importances_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.8333333333333333\n"
     ]
    }
   ],
   "source": [
    "print(0.45/0.54)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "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": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}