bilprising_notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Bli en Data Scientist på 20 minutter\n",
    "** JavaZone 2017 **  \n",
    "** simen.eide@finn.no **  \n",
    "** twitter.com/simeneide ** "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img class=\"center-block\" src=\"images/berlingo.png\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "<img class=\"center-block\" src=\"images/caddy.png\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tutorial: Finn salgspris på bil"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "### 0. Finn et use-case\n",
    "### 1. Få tak i data\n",
    "### 2. Tren modell på treningsdata\n",
    "### 3. Test modell på noe annet"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Få tak i data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ObjectPrice</th>\n",
       "      <th>YearModel</th>\n",
       "      <th>Milage</th>\n",
       "      <th>FirstRegistrationYear</th>\n",
       "      <th>Effect</th>\n",
       "      <th>Weight</th>\n",
       "      <th>EngineVolume</th>\n",
       "      <th>RegistrationClass_Annet</th>\n",
       "      <th>RegistrationClass_Personbil</th>\n",
       "      <th>RegistrationClass_Varebil</th>\n",
       "      <th>BodyType_Annet</th>\n",
       "      <th>BodyType_Flerbruksbil</th>\n",
       "      <th>BodyType_Kasse</th>\n",
       "      <th>BodyType_Kombi 3-dørs</th>\n",
       "      <th>BodyType_Kombi 5-dørs</th>\n",
       "      <th>BodyType_Pickup</th>\n",
       "      <th>BodyType_Stasjonsvogn</th>\n",
       "      <th>WheelDrive_Bakhjulsdrift</th>\n",
       "      <th>WheelDrive_Firehjulsdrift</th>\n",
       "      <th>WheelDrive_Forhjulsdrift</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <td>79.000</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>102.0</td>\n",
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       "      <td>2013.0</td>\n",
       "      <td>201.000</td>\n",
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       "      <td>102.0</td>\n",
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       "      <td>85.000</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.6</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>1060</th>\n",
       "      <td>207000.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>60.000</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>1541.0</td>\n",
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       "    <tr>\n",
       "      <th>513</th>\n",
       "      <td>197100.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>63.199</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>1541.0</td>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
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       "      <td>68.000</td>\n",
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       "      <td>2013.0</td>\n",
       "      <td>13.000</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>2012.0</td>\n",
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       "      <td>2013.0</td>\n",
       "      <td>40.664</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>102.0</td>\n",
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      ],
      "text/plain": [
       "      ObjectPrice  YearModel   Milage  FirstRegistrationYear  Effect  Weight  \\\n",
       "705      133000.0     2012.0   79.000                 2012.0   102.0     NaN   \n",
       "1203      77100.0     2013.0  201.000                 2012.0   102.0     NaN   \n",
       "1484     108700.0     2011.0   85.000                 2010.0   102.0     NaN   \n",
       "1060     207000.0     2013.0   60.000                 2012.0   110.0  1541.0   \n",
       "513      197100.0     2013.0   63.199                 2013.0   110.0  1541.0   \n",
       "1073     163700.0     2011.0   68.000                 1900.0   110.0     NaN   \n",
       "1859     130000.0     2012.0  148.000                 2012.0     NaN  1568.0   \n",
       "1153     208700.0     2013.0   13.000                 2013.0   110.0     NaN   \n",
       "656      177800.0     2012.0   66.377                 2011.0   110.0  1542.0   \n",
       "919      157100.0     2013.0   40.664                 2012.0   102.0  1422.0   \n",
       "\n",
       "      EngineVolume  RegistrationClass_Annet  RegistrationClass_Personbil  \\\n",
       "705            1.6                      0.0                          0.0   \n",
       "1203           1.6                      0.0                          0.0   \n",
       "1484           1.6                      0.0                          0.0   \n",
       "1060           2.0                      0.0                          0.0   \n",
       "513            2.0                      0.0                          0.0   \n",
       "1073           2.0                      0.0                          0.0   \n",
       "1859           2.0                      0.0                          0.0   \n",
       "1153           2.0                      0.0                          0.0   \n",
       "656            2.0                      0.0                          0.0   \n",
       "919            1.6                      0.0                          0.0   \n",
       "\n",
       "      RegistrationClass_Varebil  BodyType_Annet  BodyType_Flerbruksbil  \\\n",
       "705                         1.0             0.0                    0.0   \n",
       "1203                        1.0             0.0                    0.0   \n",
       "1484                        1.0             0.0                    0.0   \n",
       "1060                        1.0             0.0                    0.0   \n",
       "513                         1.0             0.0                    0.0   \n",
       "1073                        1.0             0.0                    0.0   \n",
       "1859                        1.0             0.0                    0.0   \n",
       "1153                        1.0             0.0                    0.0   \n",
       "656                         1.0             0.0                    0.0   \n",
       "919                         1.0             0.0                    0.0   \n",
       "\n",
       "      BodyType_Kasse  BodyType_Kombi 3-dørs  BodyType_Kombi 5-dørs  \\\n",
       "705              1.0                    0.0                    0.0   \n",
       "1203             1.0                    0.0                    0.0   \n",
       "1484             1.0                    0.0                    0.0   \n",
       "1060             1.0                    0.0                    0.0   \n",
       "513              1.0                    0.0                    0.0   \n",
       "1073             1.0                    0.0                    0.0   \n",
       "1859             0.0                    0.0                    0.0   \n",
       "1153             1.0                    0.0                    0.0   \n",
       "656              1.0                    0.0                    0.0   \n",
       "919              1.0                    0.0                    0.0   \n",
       "\n",
       "      BodyType_Pickup  BodyType_Stasjonsvogn  WheelDrive_Bakhjulsdrift  \\\n",
       "705               0.0                    0.0                       0.0   \n",
       "1203              0.0                    0.0                       0.0   \n",
       "1484              0.0                    0.0                       0.0   \n",
       "1060              0.0                    0.0                       0.0   \n",
       "513               0.0                    0.0                       0.0   \n",
       "1073              0.0                    0.0                       0.0   \n",
       "1859              0.0                    1.0                       0.0   \n",
       "1153              0.0                    0.0                       0.0   \n",
       "656               0.0                    0.0                       0.0   \n",
       "919               0.0                    0.0                       0.0   \n",
       "\n",
       "      WheelDrive_Firehjulsdrift  WheelDrive_Forhjulsdrift  \n",
       "705                         0.0                       1.0  \n",
       "1203                        0.0                       1.0  \n",
       "1484                        0.0                       1.0  \n",
       "1060                        1.0                       0.0  \n",
       "513                         1.0                       0.0  \n",
       "1073                        1.0                       0.0  \n",
       "1859                        1.0                       0.0  \n",
       "1153                        1.0                       0.0  \n",
       "656                         1.0                       0.0  \n",
       "919                         0.0                       1.0  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestRegressor\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import warnings\n",
    "warnings.simplefilter(action='ignore', category=FutureWarning)\n",
    "from ggplot import *\n",
    "\n",
    "# må kommenteres ut hvis det kjøres som python-script:\n",
    "%matplotlib inline \n",
    "\n",
    "caddy = pd.read_csv('caddy_jz.csv')\n",
    "caddy.sample(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
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IiIiI1I5FeDkSFBSEOXPmAACMjIzwxx9/oFGjRlqOqnRmzZqFVatWibYZGhoiJCQETZo0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\ntuY8LnTIWwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10c5d16d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (-9223372036581130692)>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(aes(x='Milage',y='ObjectPrice'), data = caddy) + geom_point()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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EExEROSh/f3+cPn0aAGA0GpGWliY4kbbeeecdHDp0CEDOZjaBgYFo37694FTaOH78OA4f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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10b8dbe10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (281500855)>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(aes(x='YearModel',y='ObjectPrice'), data = caddy) + geom_point()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Trene / Test\n",
    "Del data inn i ett sett dedikert for trening, og ett sett dedidkert for å teste hvor bra modellen var"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 0.22199317  0.87073231  0.20671916  0.91861091  0.48841119  0.61174386\n",
      "  0.76590786  0.51841799  0.2968005   0.18772123]\n"
     ]
    }
   ],
   "source": [
    "np.random.seed(5)\n",
    "random_numbers = np.random.random(caddy.shape[0])\n",
    "print(random_numbers[0:10])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training set: \t Rows: 1457 Columns: 20\n",
      "Test set: \t Rows: 645 Columns: 20\n"
     ]
    }
   ],
   "source": [
    "train_index = random_numbers < 0.7\n",
    "\n",
    "train = caddy[ train_index == True]\n",
    "test = caddy[ train_index == False]\n",
    "\n",
    "print('Training set: \\t Rows: %d Columns: %d' % train.shape)\n",
    "print('Test set: \\t Rows: %d Columns: %d' %test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ObjectPrice</th>\n",
       "      <th>YearModel</th>\n",
       "      <th>Milage</th>\n",
       "      <th>FirstRegistrationYear</th>\n",
       "      <th>Effect</th>\n",
       "      <th>Weight</th>\n",
       "      <th>EngineVolume</th>\n",
       "      <th>RegistrationClass_Annet</th>\n",
       "      <th>RegistrationClass_Personbil</th>\n",
       "      <th>RegistrationClass_Varebil</th>\n",
       "      <th>BodyType_Annet</th>\n",
       "      <th>BodyType_Flerbruksbil</th>\n",
       "      <th>BodyType_Kasse</th>\n",
       "      <th>BodyType_Kombi 3-dørs</th>\n",
       "      <th>BodyType_Kombi 5-dørs</th>\n",
       "      <th>BodyType_Pickup</th>\n",
       "      <th>BodyType_Stasjonsvogn</th>\n",
       "      <th>WheelDrive_Bakhjulsdrift</th>\n",
       "      <th>WheelDrive_Firehjulsdrift</th>\n",
       "      <th>WheelDrive_Forhjulsdrift</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>86500.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>112.118</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>128700.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>54.900</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>98800.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>65.000</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>137000.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>120.000</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>87800.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>84.000</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ObjectPrice  YearModel   Milage  FirstRegistrationYear  Effect  Weight  \\\n",
       "0      86500.0     2009.0  112.118                 2008.0   105.0     NaN   \n",
       "2     128700.0     2011.0   54.900                 2010.0   102.0     NaN   \n",
       "4      98800.0     2010.0   65.000                 1900.0   105.0     NaN   \n",
       "5     137000.0     2012.0  120.000                 1900.0   110.0     NaN   \n",
       "7      87800.0     2009.0   84.000                 1900.0   105.0     NaN   \n",
       "\n",
       "   EngineVolume  RegistrationClass_Annet  RegistrationClass_Personbil  \\\n",
       "0           1.9                      0.0                          0.0   \n",
       "2           1.6                      0.0                          0.0   \n",
       "4           1.9                      0.0                          0.0   \n",
       "5           2.0                      0.0                          0.0   \n",
       "7           1.9                      0.0                          0.0   \n",
       "\n",
       "   RegistrationClass_Varebil  BodyType_Annet  BodyType_Flerbruksbil  \\\n",
       "0                        1.0             0.0                    0.0   \n",
       "2                        1.0             0.0                    0.0   \n",
       "4                        1.0             0.0                    0.0   \n",
       "5                        1.0             0.0                    0.0   \n",
       "7                        1.0             0.0                    0.0   \n",
       "\n",
       "   BodyType_Kasse  BodyType_Kombi 3-dørs  BodyType_Kombi 5-dørs  \\\n",
       "0             1.0                    0.0                    0.0   \n",
       "2             1.0                    0.0                    0.0   \n",
       "4             1.0                    0.0                    0.0   \n",
       "5             1.0                    0.0                    0.0   \n",
       "7             1.0                    0.0                    0.0   \n",
       "\n",
       "   BodyType_Pickup  BodyType_Stasjonsvogn  WheelDrive_Bakhjulsdrift  \\\n",
       "0              0.0                    0.0                       0.0   \n",
       "2              0.0                    0.0                       0.0   \n",
       "4              0.0                    0.0                       0.0   \n",
       "5              0.0                    0.0                       0.0   \n",
       "7              0.0                    0.0                       0.0   \n",
       "\n",
       "   WheelDrive_Firehjulsdrift  WheelDrive_Forhjulsdrift  \n",
       "0                        0.0                       1.0  \n",
       "2                        0.0                       1.0  \n",
       "4                        0.0                       1.0  \n",
       "5                        1.0                       0.0  \n",
       "7                        0.0                       1.0  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tren en modell"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestRegressor(bootstrap=True, criterion='mse', max_depth=None,\n",
       "           max_features='auto', max_leaf_nodes=None,\n",
       "           min_impurity_split=1e-07, min_samples_leaf=5,\n",
       "           min_samples_split=10, min_weight_fraction_leaf=0.0,\n",
       "           n_estimators=1000, n_jobs=5, oob_score=False, random_state=None,\n",
       "           verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = RandomForestRegressor(n_estimators=1000, n_jobs = 5, min_samples_split=10,\n",
    "                              min_samples_leaf = 5)\n",
    "\n",
    "def prepare_data(dat):\n",
    "    X = dat.drop(['ObjectPrice'], axis = 1).fillna(0)\n",
    "    y = dat[['ObjectPrice']]['ObjectPrice']\n",
    "    return X, y\n",
    "\n",
    "X, y = prepare_data(train)\n",
    "model.fit(X, y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sjekk hvor bra modellen funker"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X, y = prepare_data(test)\n",
    "yhat = model.predict(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "         prediction     truth  percentage_diff\n",
      "399   119676.417402  136000.0            -12.0\n",
      "264   141808.243804  147100.0             -4.0\n",
      "1633  144291.318265  110000.0             31.0\n",
      "1101  102858.645059   97800.0              5.0\n",
      "118    88103.504261   93800.0             -6.0\n"
     ]
    }
   ],
   "source": [
    "result = pd.DataFrame({'truth' : y, \n",
    "                    'prediction' : yhat})\n",
    "result['percentage_diff'] = ((result['prediction'] - result['truth']) / result['truth']*100).round()\n",
    "\n",
    "print(result.sample(5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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aDolIJdTWHSUoKEhhDM9nz57h6NGj6Nu3LyZPngxDQ0MEBQXJtx87dgz6+vqYPHky+vXr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\nAAAAwMEI4QAAAICD/Q9JDU5LjyQlQwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x104f7e080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (281224284)>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(aes(\"truth\",\"prediction\"),data=result) + geom_point() + geom_abline()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Absolute Error: 11.1 percent.\n"
     ]
    }
   ],
   "source": [
    "print('Mean Absolute Error: %.1f percent.' % abs(result['percentage_diff']).mean())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Min bil"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ObjectPrice</th>\n",
       "      <th>YearModel</th>\n",
       "      <th>Milage</th>\n",
       "      <th>FirstRegistrationYear</th>\n",
       "      <th>Effect</th>\n",
       "      <th>Weight</th>\n",
       "      <th>EngineVolume</th>\n",
       "      <th>RegistrationClass_Annet</th>\n",
       "      <th>RegistrationClass_Personbil</th>\n",
       "      <th>RegistrationClass_Varebil</th>\n",
       "      <th>BodyType_Annet</th>\n",
       "      <th>BodyType_Flerbruksbil</th>\n",
       "      <th>BodyType_Kasse</th>\n",
       "      <th>BodyType_Kombi 3-dørs</th>\n",
       "      <th>BodyType_Kombi 5-dørs</th>\n",
       "      <th>BodyType_Pickup</th>\n",
       "      <th>BodyType_Stasjonsvogn</th>\n",
       "      <th>WheelDrive_Bakhjulsdrift</th>\n",
       "      <th>WheelDrive_Firehjulsdrift</th>\n",
       "      <th>WheelDrive_Forhjulsdrift</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2035</th>\n",
       "      <td>265000.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>37.434</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1661.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      ObjectPrice  YearModel  Milage  FirstRegistrationYear  Effect  Weight  \\\n",
       "2035     265000.0     2015.0  37.434                 2014.0     NaN  1661.0   \n",
       "\n",
       "      EngineVolume  RegistrationClass_Annet  RegistrationClass_Personbil  \\\n",
       "2035           2.0                      0.0                          0.0   \n",
       "\n",
       "      RegistrationClass_Varebil  BodyType_Annet  BodyType_Flerbruksbil  \\\n",
       "2035                        1.0             0.0                    0.0   \n",
       "\n",
       "      BodyType_Kasse  BodyType_Kombi 3-dørs  BodyType_Kombi 5-dørs  \\\n",
       "2035             0.0                    0.0                    0.0   \n",
       "\n",
       "      BodyType_Pickup  BodyType_Stasjonsvogn  WheelDrive_Bakhjulsdrift  \\\n",
       "2035              0.0                    1.0                       0.0   \n",
       "\n",
       "      WheelDrive_Firehjulsdrift  WheelDrive_Forhjulsdrift  \n",
       "2035                        1.0                       0.0  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prospect_car = caddy[(caddy.ObjectPrice == 265000.0) & (caddy.Milage==37.434)].copy()\n",
    "prospect_car"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model Prediction of my car: 237472 kr\n"
     ]
    }
   ],
   "source": [
    "X, y = prepare_data(prospect_car)\n",
    "\n",
    "print('Model Prediction of my car: %d kr' % model.predict(X))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "  \n",
    "  \n",
    "  \n",
    "  \n",
    "  \n",
    "  \n",
    "  \n",
    "  \n",
    "  \n",
    "Oppdaget at bilen jeg så på hadde feil-tolket fritekstfeltet \"Effect\". Fyll inn 140hk som er maks på disse bilene:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model Prediction of my car: 264140 kr\n"
     ]
    }
   ],
   "source": [
    "prospect_car.Effect = 140\n",
    "X, y = prepare_data(prospect_car)\n",
    "\n",
    "print('Model Prediction of my car: %d kr' % model.predict(X))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "  \n",
    "# Data Scientist Procedure:\n",
    "### 0. Finn et use-case\n",
    "### 1. Få tak i data\n",
    "### 2. Tren modell på treningsdata\n",
    "### 3. Test modell på noe annet    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "## github.com/simeneide/car-pricing\n",
    "\n",
    "## twitter.com/simeneide \n",
    "\n",
    "## finn.no/apply-here\n",
    "\n",
    "<img class=\"center-block\" src=\"images/campercaddy.jpg\"/>\n"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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