Sample Size.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "from collection import Collection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "try:\n",
    "    collection\n",
    "except NameError:\n",
    "    collection = Collection()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "#collection.import_file('dbs/mai/new-plz-all/auto.json', force=True)\n",
    "collection.import_file('dbs/mai/all/auto.json', force=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>acc_max</th>\n",
       "      <th>acc_mean</th>\n",
       "      <th>acc_median</th>\n",
       "      <th>acc_min</th>\n",
       "      <th>acc_quantile_25</th>\n",
       "      <th>acc_quantile_75</th>\n",
       "      <th>acc_std</th>\n",
       "      <th>algorithm</th>\n",
       "      <th>anbieter</th>\n",
       "      <th>attributes</th>\n",
       "      <th>...</th>\n",
       "      <th>fn_std</th>\n",
       "      <th>label</th>\n",
       "      <th>mcc_max</th>\n",
       "      <th>mcc_mean</th>\n",
       "      <th>mcc_median</th>\n",
       "      <th>mcc_min</th>\n",
       "      <th>mcc_quantile_25</th>\n",
       "      <th>mcc_quantile_75</th>\n",
       "      <th>mcc_std</th>\n",
       "      <th>sample_size_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>82.33</td>\n",
       "      <td>74.3483</td>\n",
       "      <td>74.420</td>\n",
       "      <td>65.12</td>\n",
       "      <td>72.5600</td>\n",
       "      <td>76.3950</td>\n",
       "      <td>3.371018</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>5.546030</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.652979</td>\n",
       "      <td>0.508117</td>\n",
       "      <td>0.511478</td>\n",
       "      <td>0.319422</td>\n",
       "      <td>0.466642</td>\n",
       "      <td>0.548575</td>\n",
       "      <td>6.497478</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>79.07</td>\n",
       "      <td>67.9074</td>\n",
       "      <td>68.370</td>\n",
       "      <td>58.60</td>\n",
       "      <td>65.0025</td>\n",
       "      <td>70.7000</td>\n",
       "      <td>4.434386</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>25.090367</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.612929</td>\n",
       "      <td>0.335425</td>\n",
       "      <td>0.335176</td>\n",
       "      <td>0.062334</td>\n",
       "      <td>0.266525</td>\n",
       "      <td>0.420601</td>\n",
       "      <td>11.364098</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>82.33</td>\n",
       "      <td>74.5571</td>\n",
       "      <td>74.420</td>\n",
       "      <td>64.65</td>\n",
       "      <td>72.5600</td>\n",
       "      <td>76.7400</td>\n",
       "      <td>3.536497</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>4.540986</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.660877</td>\n",
       "      <td>0.515587</td>\n",
       "      <td>0.515624</td>\n",
       "      <td>0.311979</td>\n",
       "      <td>0.481469</td>\n",
       "      <td>0.557268</td>\n",
       "      <td>6.642733</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>83.72</td>\n",
       "      <td>74.6179</td>\n",
       "      <td>74.650</td>\n",
       "      <td>66.05</td>\n",
       "      <td>72.5600</td>\n",
       "      <td>76.7400</td>\n",
       "      <td>3.513515</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>6.774667</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.683088</td>\n",
       "      <td>0.514520</td>\n",
       "      <td>0.523304</td>\n",
       "      <td>0.307292</td>\n",
       "      <td>0.478383</td>\n",
       "      <td>0.560425</td>\n",
       "      <td>6.878283</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>80.00</td>\n",
       "      <td>68.3309</td>\n",
       "      <td>68.605</td>\n",
       "      <td>59.53</td>\n",
       "      <td>65.9325</td>\n",
       "      <td>70.7000</td>\n",
       "      <td>3.965385</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>26.729365</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.602937</td>\n",
       "      <td>0.362977</td>\n",
       "      <td>0.380542</td>\n",
       "      <td>0.086934</td>\n",
       "      <td>0.282243</td>\n",
       "      <td>0.447677</td>\n",
       "      <td>10.687530</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>82.33</td>\n",
       "      <td>75.1806</td>\n",
       "      <td>75.350</td>\n",
       "      <td>66.05</td>\n",
       "      <td>73.0200</td>\n",
       "      <td>77.6700</td>\n",
       "      <td>3.346875</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>5.775495</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.660167</td>\n",
       "      <td>0.526917</td>\n",
       "      <td>0.533748</td>\n",
       "      <td>0.338435</td>\n",
       "      <td>0.489668</td>\n",
       "      <td>0.567399</td>\n",
       "      <td>6.553449</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>83.72</td>\n",
       "      <td>76.2967</td>\n",
       "      <td>76.280</td>\n",
       "      <td>67.44</td>\n",
       "      <td>73.9500</td>\n",
       "      <td>78.7175</td>\n",
       "      <td>3.490451</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>6.617152</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.689613</td>\n",
       "      <td>0.521835</td>\n",
       "      <td>0.517742</td>\n",
       "      <td>0.348983</td>\n",
       "      <td>0.473770</td>\n",
       "      <td>0.572346</td>\n",
       "      <td>7.000562</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>77.21</td>\n",
       "      <td>68.4423</td>\n",
       "      <td>68.840</td>\n",
       "      <td>59.53</td>\n",
       "      <td>66.5100</td>\n",
       "      <td>70.7000</td>\n",
       "      <td>4.042535</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>27.307817</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.538351</td>\n",
       "      <td>0.362443</td>\n",
       "      <td>0.385069</td>\n",
       "      <td>0.066013</td>\n",
       "      <td>0.286283</td>\n",
       "      <td>0.447883</td>\n",
       "      <td>11.323279</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>83.72</td>\n",
       "      <td>76.0454</td>\n",
       "      <td>75.810</td>\n",
       "      <td>68.37</td>\n",
       "      <td>73.9500</td>\n",
       "      <td>78.6000</td>\n",
       "      <td>3.249521</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>6.503123</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.659528</td>\n",
       "      <td>0.512730</td>\n",
       "      <td>0.507971</td>\n",
       "      <td>0.358044</td>\n",
       "      <td>0.468734</td>\n",
       "      <td>0.558203</td>\n",
       "      <td>6.583078</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>82.79</td>\n",
       "      <td>76.3762</td>\n",
       "      <td>76.045</td>\n",
       "      <td>66.05</td>\n",
       "      <td>74.4200</td>\n",
       "      <td>79.0700</td>\n",
       "      <td>3.506980</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>6.158049</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.657659</td>\n",
       "      <td>0.519278</td>\n",
       "      <td>0.519111</td>\n",
       "      <td>0.305888</td>\n",
       "      <td>0.469989</td>\n",
       "      <td>0.572413</td>\n",
       "      <td>7.108965</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>78.60</td>\n",
       "      <td>67.3072</td>\n",
       "      <td>67.910</td>\n",
       "      <td>53.02</td>\n",
       "      <td>64.0725</td>\n",
       "      <td>69.8850</td>\n",
       "      <td>4.631805</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>28.003470</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.568137</td>\n",
       "      <td>0.330126</td>\n",
       "      <td>0.333335</td>\n",
       "      <td>0.061774</td>\n",
       "      <td>0.237931</td>\n",
       "      <td>0.419644</td>\n",
       "      <td>12.348916</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>83.72</td>\n",
       "      <td>76.3530</td>\n",
       "      <td>76.280</td>\n",
       "      <td>66.98</td>\n",
       "      <td>73.9500</td>\n",
       "      <td>78.6000</td>\n",
       "      <td>3.759541</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>5.989974</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.668104</td>\n",
       "      <td>0.514839</td>\n",
       "      <td>0.515976</td>\n",
       "      <td>0.346790</td>\n",
       "      <td>0.458366</td>\n",
       "      <td>0.566262</td>\n",
       "      <td>7.580573</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>84.19</td>\n",
       "      <td>77.5153</td>\n",
       "      <td>77.670</td>\n",
       "      <td>70.70</td>\n",
       "      <td>75.3500</td>\n",
       "      <td>79.5300</td>\n",
       "      <td>2.995981</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>5.824002</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.656699</td>\n",
       "      <td>0.532133</td>\n",
       "      <td>0.534763</td>\n",
       "      <td>0.390978</td>\n",
       "      <td>0.491978</td>\n",
       "      <td>0.576135</td>\n",
       "      <td>6.097239</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>77.67</td>\n",
       "      <td>68.6096</td>\n",
       "      <td>68.840</td>\n",
       "      <td>57.67</td>\n",
       "      <td>66.3950</td>\n",
       "      <td>71.6300</td>\n",
       "      <td>4.264562</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>26.842117</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.556428</td>\n",
       "      <td>0.362381</td>\n",
       "      <td>0.387156</td>\n",
       "      <td>-0.061651</td>\n",
       "      <td>0.285515</td>\n",
       "      <td>0.446226</td>\n",
       "      <td>11.847074</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>85.58</td>\n",
       "      <td>77.6225</td>\n",
       "      <td>77.440</td>\n",
       "      <td>69.77</td>\n",
       "      <td>75.3500</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>3.312415</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>5.322119</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.696155</td>\n",
       "      <td>0.533729</td>\n",
       "      <td>0.532668</td>\n",
       "      <td>0.388485</td>\n",
       "      <td>0.490622</td>\n",
       "      <td>0.582220</td>\n",
       "      <td>6.678181</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>86.98</td>\n",
       "      <td>77.5627</td>\n",
       "      <td>77.210</td>\n",
       "      <td>70.23</td>\n",
       "      <td>74.8800</td>\n",
       "      <td>79.6475</td>\n",
       "      <td>3.350872</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>6.291612</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.726627</td>\n",
       "      <td>0.532563</td>\n",
       "      <td>0.528786</td>\n",
       "      <td>0.366127</td>\n",
       "      <td>0.481483</td>\n",
       "      <td>0.574890</td>\n",
       "      <td>6.920654</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>78.60</td>\n",
       "      <td>68.6188</td>\n",
       "      <td>68.370</td>\n",
       "      <td>59.53</td>\n",
       "      <td>66.5100</td>\n",
       "      <td>71.1600</td>\n",
       "      <td>3.843057</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>24.166843</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.593504</td>\n",
       "      <td>0.342605</td>\n",
       "      <td>0.344786</td>\n",
       "      <td>-0.032941</td>\n",
       "      <td>0.285534</td>\n",
       "      <td>0.413708</td>\n",
       "      <td>10.798120</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>86.05</td>\n",
       "      <td>77.8177</td>\n",
       "      <td>77.905</td>\n",
       "      <td>71.63</td>\n",
       "      <td>75.8100</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>3.102702</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>5.481652</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.705768</td>\n",
       "      <td>0.537958</td>\n",
       "      <td>0.537778</td>\n",
       "      <td>0.398410</td>\n",
       "      <td>0.488341</td>\n",
       "      <td>0.581706</td>\n",
       "      <td>6.307467</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>84.19</td>\n",
       "      <td>77.6454</td>\n",
       "      <td>77.670</td>\n",
       "      <td>67.91</td>\n",
       "      <td>75.8100</td>\n",
       "      <td>79.5300</td>\n",
       "      <td>3.321846</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>5.933084</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.670698</td>\n",
       "      <td>0.534486</td>\n",
       "      <td>0.543233</td>\n",
       "      <td>0.342017</td>\n",
       "      <td>0.499607</td>\n",
       "      <td>0.573332</td>\n",
       "      <td>6.789165</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>76.28</td>\n",
       "      <td>68.1028</td>\n",
       "      <td>68.605</td>\n",
       "      <td>57.21</td>\n",
       "      <td>64.6500</td>\n",
       "      <td>71.6300</td>\n",
       "      <td>4.462865</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>23.775675</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.540637</td>\n",
       "      <td>0.341856</td>\n",
       "      <td>0.357045</td>\n",
       "      <td>0.080979</td>\n",
       "      <td>0.260802</td>\n",
       "      <td>0.423423</td>\n",
       "      <td>10.869665</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>85.12</td>\n",
       "      <td>77.5481</td>\n",
       "      <td>77.210</td>\n",
       "      <td>70.70</td>\n",
       "      <td>74.8800</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>3.143838</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>5.308341</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.690553</td>\n",
       "      <td>0.532527</td>\n",
       "      <td>0.527899</td>\n",
       "      <td>0.389257</td>\n",
       "      <td>0.486689</td>\n",
       "      <td>0.584006</td>\n",
       "      <td>6.321712</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>95.92</td>\n",
       "      <td>91.1796</td>\n",
       "      <td>91.840</td>\n",
       "      <td>85.71</td>\n",
       "      <td>89.1200</td>\n",
       "      <td>93.2000</td>\n",
       "      <td>2.464690</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Swisscom</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>4.156852</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.917035</td>\n",
       "      <td>0.819153</td>\n",
       "      <td>0.828365</td>\n",
       "      <td>0.708481</td>\n",
       "      <td>0.778918</td>\n",
       "      <td>0.856503</td>\n",
       "      <td>4.888860</td>\n",
       "      <td>147.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>91.84</td>\n",
       "      <td>79.8968</td>\n",
       "      <td>79.590</td>\n",
       "      <td>63.95</td>\n",
       "      <td>76.0200</td>\n",
       "      <td>83.8400</td>\n",
       "      <td>5.654726</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Swisscom</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>16.168841</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.820259</td>\n",
       "      <td>0.585079</td>\n",
       "      <td>0.594966</td>\n",
       "      <td>0.255919</td>\n",
       "      <td>0.502402</td>\n",
       "      <td>0.667302</td>\n",
       "      <td>11.267323</td>\n",
       "      <td>147.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>96.60</td>\n",
       "      <td>91.5264</td>\n",
       "      <td>91.840</td>\n",
       "      <td>85.03</td>\n",
       "      <td>90.4800</td>\n",
       "      <td>93.2000</td>\n",
       "      <td>2.299906</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Swisscom</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>3.720863</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.924697</td>\n",
       "      <td>0.827488</td>\n",
       "      <td>0.834404</td>\n",
       "      <td>0.696891</td>\n",
       "      <td>0.799374</td>\n",
       "      <td>0.860889</td>\n",
       "      <td>4.577941</td>\n",
       "      <td>147.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>95.92</td>\n",
       "      <td>91.5268</td>\n",
       "      <td>91.840</td>\n",
       "      <td>86.39</td>\n",
       "      <td>89.8000</td>\n",
       "      <td>93.2000</td>\n",
       "      <td>2.458091</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Swisscom</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>4.333164</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.918937</td>\n",
       "      <td>0.826712</td>\n",
       "      <td>0.828674</td>\n",
       "      <td>0.721396</td>\n",
       "      <td>0.786420</td>\n",
       "      <td>0.865730</td>\n",
       "      <td>4.949166</td>\n",
       "      <td>147.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>91.16</td>\n",
       "      <td>80.4614</td>\n",
       "      <td>80.610</td>\n",
       "      <td>65.99</td>\n",
       "      <td>77.5500</td>\n",
       "      <td>83.6700</td>\n",
       "      <td>5.198513</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Swisscom</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>17.962905</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.815160</td>\n",
       "      <td>0.600017</td>\n",
       "      <td>0.610265</td>\n",
       "      <td>0.311887</td>\n",
       "      <td>0.529360</td>\n",
       "      <td>0.661602</td>\n",
       "      <td>10.311403</td>\n",
       "      <td>147.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>96.60</td>\n",
       "      <td>91.9213</td>\n",
       "      <td>92.180</td>\n",
       "      <td>86.39</td>\n",
       "      <td>90.4800</td>\n",
       "      <td>93.8800</td>\n",
       "      <td>2.370629</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Swisscom</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>3.857542</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.931815</td>\n",
       "      <td>0.835814</td>\n",
       "      <td>0.840477</td>\n",
       "      <td>0.723548</td>\n",
       "      <td>0.801348</td>\n",
       "      <td>0.873795</td>\n",
       "      <td>4.734717</td>\n",
       "      <td>147.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>96.60</td>\n",
       "      <td>91.4855</td>\n",
       "      <td>91.840</td>\n",
       "      <td>85.03</td>\n",
       "      <td>89.8000</td>\n",
       "      <td>93.2000</td>\n",
       "      <td>2.559803</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Swisscom</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>4.430842</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.924697</td>\n",
       "      <td>0.825916</td>\n",
       "      <td>0.835390</td>\n",
       "      <td>0.698513</td>\n",
       "      <td>0.792216</td>\n",
       "      <td>0.859317</td>\n",
       "      <td>5.164993</td>\n",
       "      <td>147.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>91.84</td>\n",
       "      <td>79.8015</td>\n",
       "      <td>79.590</td>\n",
       "      <td>64.63</td>\n",
       "      <td>76.8700</td>\n",
       "      <td>82.9900</td>\n",
       "      <td>5.194196</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Swisscom</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>16.415880</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.821857</td>\n",
       "      <td>0.587386</td>\n",
       "      <td>0.584425</td>\n",
       "      <td>0.303690</td>\n",
       "      <td>0.518988</td>\n",
       "      <td>0.652064</td>\n",
       "      <td>10.070066</td>\n",
       "      <td>147.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>95.92</td>\n",
       "      <td>91.7578</td>\n",
       "      <td>92.180</td>\n",
       "      <td>83.67</td>\n",
       "      <td>90.3100</td>\n",
       "      <td>93.8800</td>\n",
       "      <td>2.533326</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Swisscom</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>4.037258</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.917035</td>\n",
       "      <td>0.832186</td>\n",
       "      <td>0.838786</td>\n",
       "      <td>0.667948</td>\n",
       "      <td>0.805225</td>\n",
       "      <td>0.865933</td>\n",
       "      <td>5.112310</td>\n",
       "      <td>147.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>100.00</td>\n",
       "      <td>94.4450</td>\n",
       "      <td>100.000</td>\n",
       "      <td>66.67</td>\n",
       "      <td>88.8900</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>8.576744</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>IT-Logix AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>18.326244</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.882075</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.790569</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>20.020577</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>100.00</td>\n",
       "      <td>87.6677</td>\n",
       "      <td>88.890</td>\n",
       "      <td>33.33</td>\n",
       "      <td>77.7800</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>15.383433</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>IT-Logix AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>18.721140</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.782631</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>-0.188982</td>\n",
       "      <td>0.632456</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>26.038690</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>100.00</td>\n",
       "      <td>94.5561</td>\n",
       "      <td>100.000</td>\n",
       "      <td>66.67</td>\n",
       "      <td>88.8900</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>9.001600</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>IT-Logix AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>18.326244</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.885037</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.790569</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>20.488134</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>100.00</td>\n",
       "      <td>94.3339</td>\n",
       "      <td>100.000</td>\n",
       "      <td>66.67</td>\n",
       "      <td>88.8900</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>8.862011</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>IT-Logix AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>18.655462</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.879682</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.790569</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>20.510302</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>100.00</td>\n",
       "      <td>88.5564</td>\n",
       "      <td>88.890</td>\n",
       "      <td>33.33</td>\n",
       "      <td>77.7800</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>14.598550</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>IT-Logix AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>21.878747</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.788048</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>-0.188982</td>\n",
       "      <td>0.632456</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>26.843097</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>100.00</td>\n",
       "      <td>94.4450</td>\n",
       "      <td>100.000</td>\n",
       "      <td>66.67</td>\n",
       "      <td>88.8900</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>9.275151</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>IT-Logix AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>17.595267</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.883826</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.188982</td>\n",
       "      <td>0.790569</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>21.496646</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>100.00</td>\n",
       "      <td>94.1117</td>\n",
       "      <td>100.000</td>\n",
       "      <td>66.67</td>\n",
       "      <td>88.8900</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>9.534326</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>IT-Logix AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>18.495083</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.879043</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.790569</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>21.176224</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>100.00</td>\n",
       "      <td>86.7789</td>\n",
       "      <td>88.890</td>\n",
       "      <td>33.33</td>\n",
       "      <td>77.7800</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>14.703744</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>IT-Logix AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>21.562186</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.761078</td>\n",
       "      <td>0.790569</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.597614</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>25.412557</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>100.00</td>\n",
       "      <td>94.4450</td>\n",
       "      <td>100.000</td>\n",
       "      <td>66.67</td>\n",
       "      <td>88.8900</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>9.139740</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>IT-Logix AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>18.168148</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.881150</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.188982</td>\n",
       "      <td>0.790569</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>21.472055</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>100.00</td>\n",
       "      <td>84.1000</td>\n",
       "      <td>90.000</td>\n",
       "      <td>50.00</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>90.0000</td>\n",
       "      <td>11.728839</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>AVS Syteme AG</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>23.109969</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.677613</td>\n",
       "      <td>0.763763</td>\n",
       "      <td>-0.166667</td>\n",
       "      <td>0.509175</td>\n",
       "      <td>0.816497</td>\n",
       "      <td>24.763790</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>100.00</td>\n",
       "      <td>75.7000</td>\n",
       "      <td>80.000</td>\n",
       "      <td>30.00</td>\n",
       "      <td>67.5000</td>\n",
       "      <td>90.0000</td>\n",
       "      <td>15.651185</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>AVS Syteme AG</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>28.196578</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.523443</td>\n",
       "      <td>0.591667</td>\n",
       "      <td>-0.408248</td>\n",
       "      <td>0.356348</td>\n",
       "      <td>0.763763</td>\n",
       "      <td>30.288506</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>100.00</td>\n",
       "      <td>83.7000</td>\n",
       "      <td>90.000</td>\n",
       "      <td>50.00</td>\n",
       "      <td>70.0000</td>\n",
       "      <td>90.0000</td>\n",
       "      <td>12.605514</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>AVS Syteme AG</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>24.840407</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.669616</td>\n",
       "      <td>0.763763</td>\n",
       "      <td>-0.272166</td>\n",
       "      <td>0.506881</td>\n",
       "      <td>0.816497</td>\n",
       "      <td>26.196202</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>100.00</td>\n",
       "      <td>83.2000</td>\n",
       "      <td>85.000</td>\n",
       "      <td>50.00</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>90.0000</td>\n",
       "      <td>12.703296</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>AVS Syteme AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>25.731247</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.652251</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>-0.272166</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>0.816497</td>\n",
       "      <td>28.134779</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>100.00</td>\n",
       "      <td>75.4000</td>\n",
       "      <td>80.000</td>\n",
       "      <td>40.00</td>\n",
       "      <td>70.0000</td>\n",
       "      <td>90.0000</td>\n",
       "      <td>14.313940</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>AVS Syteme AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>29.084803</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.503264</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>-0.327327</td>\n",
       "      <td>0.350595</td>\n",
       "      <td>0.690941</td>\n",
       "      <td>29.461827</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>100.00</td>\n",
       "      <td>82.3000</td>\n",
       "      <td>85.000</td>\n",
       "      <td>40.00</td>\n",
       "      <td>70.0000</td>\n",
       "      <td>90.0000</td>\n",
       "      <td>13.397949</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>AVS Syteme AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>25.647089</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.641635</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>-0.272166</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.816497</td>\n",
       "      <td>27.539947</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>100.00</td>\n",
       "      <td>83.9000</td>\n",
       "      <td>90.000</td>\n",
       "      <td>50.00</td>\n",
       "      <td>77.5000</td>\n",
       "      <td>90.0000</td>\n",
       "      <td>13.249357</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>AVS Syteme AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>24.905886</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.677649</td>\n",
       "      <td>0.763763</td>\n",
       "      <td>-0.272166</td>\n",
       "      <td>0.520151</td>\n",
       "      <td>0.816497</td>\n",
       "      <td>26.098220</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>100.00</td>\n",
       "      <td>72.8000</td>\n",
       "      <td>70.000</td>\n",
       "      <td>20.00</td>\n",
       "      <td>60.0000</td>\n",
       "      <td>90.0000</td>\n",
       "      <td>17.700083</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>AVS Syteme AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>27.864806</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.471209</td>\n",
       "      <td>0.504588</td>\n",
       "      <td>-0.408248</td>\n",
       "      <td>0.218218</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>32.366332</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>100.00</td>\n",
       "      <td>83.5000</td>\n",
       "      <td>90.000</td>\n",
       "      <td>40.00</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>90.0000</td>\n",
       "      <td>13.361712</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>AVS Syteme AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>25.122860</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.672493</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>-0.272166</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>0.816497</td>\n",
       "      <td>26.216532</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>291</th>\n",
       "      <td>100.00</td>\n",
       "      <td>84.0000</td>\n",
       "      <td>90.000</td>\n",
       "      <td>50.00</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>90.0000</td>\n",
       "      <td>12.309149</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>AVS Syteme AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>25.357154</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.670286</td>\n",
       "      <td>0.763763</td>\n",
       "      <td>-0.272166</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>0.816497</td>\n",
       "      <td>25.819434</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>100.00</td>\n",
       "      <td>74.6000</td>\n",
       "      <td>75.000</td>\n",
       "      <td>30.00</td>\n",
       "      <td>67.5000</td>\n",
       "      <td>90.0000</td>\n",
       "      <td>15.726193</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>AVS Syteme AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>29.736871</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.480543</td>\n",
       "      <td>0.509175</td>\n",
       "      <td>-0.534522</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>34.201064</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>100.00</td>\n",
       "      <td>82.6000</td>\n",
       "      <td>80.000</td>\n",
       "      <td>40.00</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>90.0000</td>\n",
       "      <td>12.997280</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>AVS Syteme AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>26.202417</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.649805</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>-0.272166</td>\n",
       "      <td>0.509175</td>\n",
       "      <td>0.816497</td>\n",
       "      <td>26.086498</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>100.00</td>\n",
       "      <td>83.4000</td>\n",
       "      <td>90.000</td>\n",
       "      <td>50.00</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>90.0000</td>\n",
       "      <td>12.570609</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>AVS Syteme AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>25.626617</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.655091</td>\n",
       "      <td>0.763763</td>\n",
       "      <td>-0.272166</td>\n",
       "      <td>0.506881</td>\n",
       "      <td>0.816497</td>\n",
       "      <td>26.846769</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>100.00</td>\n",
       "      <td>73.8000</td>\n",
       "      <td>75.000</td>\n",
       "      <td>40.00</td>\n",
       "      <td>60.0000</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>14.618378</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>AVS Syteme AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>28.340799</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.463705</td>\n",
       "      <td>0.509175</td>\n",
       "      <td>-0.250000</td>\n",
       "      <td>0.218218</td>\n",
       "      <td>0.657657</td>\n",
       "      <td>30.404204</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>100.00</td>\n",
       "      <td>82.3000</td>\n",
       "      <td>80.000</td>\n",
       "      <td>40.00</td>\n",
       "      <td>70.0000</td>\n",
       "      <td>90.0000</td>\n",
       "      <td>13.473131</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>AVS Syteme AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>26.838493</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.638412</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>-0.272166</td>\n",
       "      <td>0.506881</td>\n",
       "      <td>0.816497</td>\n",
       "      <td>28.278445</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>100.00</td>\n",
       "      <td>83.6000</td>\n",
       "      <td>90.000</td>\n",
       "      <td>50.00</td>\n",
       "      <td>70.0000</td>\n",
       "      <td>90.0000</td>\n",
       "      <td>13.144112</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>AVS Syteme AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>26.243441</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.660321</td>\n",
       "      <td>0.763763</td>\n",
       "      <td>-0.272166</td>\n",
       "      <td>0.423491</td>\n",
       "      <td>0.816497</td>\n",
       "      <td>27.758710</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>100.00</td>\n",
       "      <td>73.6000</td>\n",
       "      <td>75.000</td>\n",
       "      <td>30.00</td>\n",
       "      <td>60.0000</td>\n",
       "      <td>90.0000</td>\n",
       "      <td>16.362065</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>AVS Syteme AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>30.272135</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.480572</td>\n",
       "      <td>0.516492</td>\n",
       "      <td>-0.408248</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.763763</td>\n",
       "      <td>32.863961</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>100.00</td>\n",
       "      <td>81.9000</td>\n",
       "      <td>80.000</td>\n",
       "      <td>40.00</td>\n",
       "      <td>70.0000</td>\n",
       "      <td>90.0000</td>\n",
       "      <td>13.385881</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>AVS Syteme AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>27.267702</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.630103</td>\n",
       "      <td>0.660660</td>\n",
       "      <td>-0.272166</td>\n",
       "      <td>0.482143</td>\n",
       "      <td>0.816497</td>\n",
       "      <td>28.223996</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>100.00</td>\n",
       "      <td>81.6000</td>\n",
       "      <td>80.000</td>\n",
       "      <td>50.00</td>\n",
       "      <td>70.0000</td>\n",
       "      <td>90.0000</td>\n",
       "      <td>11.782541</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>AVS Syteme AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>26.601433</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.618862</td>\n",
       "      <td>0.612372</td>\n",
       "      <td>-0.272166</td>\n",
       "      <td>0.423491</td>\n",
       "      <td>0.816497</td>\n",
       "      <td>25.475979</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>100.00</td>\n",
       "      <td>73.5000</td>\n",
       "      <td>80.000</td>\n",
       "      <td>30.00</td>\n",
       "      <td>67.5000</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>15.398741</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>AVS Syteme AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>28.798091</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.465110</td>\n",
       "      <td>0.534522</td>\n",
       "      <td>-0.408248</td>\n",
       "      <td>0.266624</td>\n",
       "      <td>0.657657</td>\n",
       "      <td>31.176183</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>100.00</td>\n",
       "      <td>81.7000</td>\n",
       "      <td>80.000</td>\n",
       "      <td>40.00</td>\n",
       "      <td>70.0000</td>\n",
       "      <td>90.0000</td>\n",
       "      <td>12.796385</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>AVS Syteme AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>26.442485</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.631654</td>\n",
       "      <td>0.654654</td>\n",
       "      <td>-0.272166</td>\n",
       "      <td>0.482143</td>\n",
       "      <td>0.816497</td>\n",
       "      <td>25.351845</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>303 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     acc_max  acc_mean  acc_median  acc_min  acc_quantile_25  acc_quantile_75  \\\n",
       "0      82.33   74.3483      74.420    65.12          72.5600          76.3950   \n",
       "1      79.07   67.9074      68.370    58.60          65.0025          70.7000   \n",
       "2      82.33   74.5571      74.420    64.65          72.5600          76.7400   \n",
       "3      83.72   74.6179      74.650    66.05          72.5600          76.7400   \n",
       "4      80.00   68.3309      68.605    59.53          65.9325          70.7000   \n",
       "5      82.33   75.1806      75.350    66.05          73.0200          77.6700   \n",
       "6      83.72   76.2967      76.280    67.44          73.9500          78.7175   \n",
       "7      77.21   68.4423      68.840    59.53          66.5100          70.7000   \n",
       "8      83.72   76.0454      75.810    68.37          73.9500          78.6000   \n",
       "9      82.79   76.3762      76.045    66.05          74.4200          79.0700   \n",
       "10     78.60   67.3072      67.910    53.02          64.0725          69.8850   \n",
       "11     83.72   76.3530      76.280    66.98          73.9500          78.6000   \n",
       "12     84.19   77.5153      77.670    70.70          75.3500          79.5300   \n",
       "13     77.67   68.6096      68.840    57.67          66.3950          71.6300   \n",
       "14     85.58   77.6225      77.440    69.77          75.3500          80.0000   \n",
       "15     86.98   77.5627      77.210    70.23          74.8800          79.6475   \n",
       "16     78.60   68.6188      68.370    59.53          66.5100          71.1600   \n",
       "17     86.05   77.8177      77.905    71.63          75.8100          80.0000   \n",
       "18     84.19   77.6454      77.670    67.91          75.8100          79.5300   \n",
       "19     76.28   68.1028      68.605    57.21          64.6500          71.6300   \n",
       "20     85.12   77.5481      77.210    70.70          74.8800          80.0000   \n",
       "21     95.92   91.1796      91.840    85.71          89.1200          93.2000   \n",
       "22     91.84   79.8968      79.590    63.95          76.0200          83.8400   \n",
       "23     96.60   91.5264      91.840    85.03          90.4800          93.2000   \n",
       "24     95.92   91.5268      91.840    86.39          89.8000          93.2000   \n",
       "25     91.16   80.4614      80.610    65.99          77.5500          83.6700   \n",
       "26     96.60   91.9213      92.180    86.39          90.4800          93.8800   \n",
       "27     96.60   91.4855      91.840    85.03          89.8000          93.2000   \n",
       "28     91.84   79.8015      79.590    64.63          76.8700          82.9900   \n",
       "29     95.92   91.7578      92.180    83.67          90.3100          93.8800   \n",
       "..       ...       ...         ...      ...              ...              ...   \n",
       "273   100.00   94.4450     100.000    66.67          88.8900         100.0000   \n",
       "274   100.00   87.6677      88.890    33.33          77.7800         100.0000   \n",
       "275   100.00   94.5561     100.000    66.67          88.8900         100.0000   \n",
       "276   100.00   94.3339     100.000    66.67          88.8900         100.0000   \n",
       "277   100.00   88.5564      88.890    33.33          77.7800         100.0000   \n",
       "278   100.00   94.4450     100.000    66.67          88.8900         100.0000   \n",
       "279   100.00   94.1117     100.000    66.67          88.8900         100.0000   \n",
       "280   100.00   86.7789      88.890    33.33          77.7800         100.0000   \n",
       "281   100.00   94.4450     100.000    66.67          88.8900         100.0000   \n",
       "282   100.00   84.1000      90.000    50.00          80.0000          90.0000   \n",
       "283   100.00   75.7000      80.000    30.00          67.5000          90.0000   \n",
       "284   100.00   83.7000      90.000    50.00          70.0000          90.0000   \n",
       "285   100.00   83.2000      85.000    50.00          80.0000          90.0000   \n",
       "286   100.00   75.4000      80.000    40.00          70.0000          90.0000   \n",
       "287   100.00   82.3000      85.000    40.00          70.0000          90.0000   \n",
       "288   100.00   83.9000      90.000    50.00          77.5000          90.0000   \n",
       "289   100.00   72.8000      70.000    20.00          60.0000          90.0000   \n",
       "290   100.00   83.5000      90.000    40.00          80.0000          90.0000   \n",
       "291   100.00   84.0000      90.000    50.00          80.0000          90.0000   \n",
       "292   100.00   74.6000      75.000    30.00          67.5000          90.0000   \n",
       "293   100.00   82.6000      80.000    40.00          80.0000          90.0000   \n",
       "294   100.00   83.4000      90.000    50.00          80.0000          90.0000   \n",
       "295   100.00   73.8000      75.000    40.00          60.0000          80.0000   \n",
       "296   100.00   82.3000      80.000    40.00          70.0000          90.0000   \n",
       "297   100.00   83.6000      90.000    50.00          70.0000          90.0000   \n",
       "298   100.00   73.6000      75.000    30.00          60.0000          90.0000   \n",
       "299   100.00   81.9000      80.000    40.00          70.0000          90.0000   \n",
       "300   100.00   81.6000      80.000    50.00          70.0000          90.0000   \n",
       "301   100.00   73.5000      80.000    30.00          67.5000          80.0000   \n",
       "302   100.00   81.7000      80.000    40.00          70.0000          90.0000   \n",
       "\n",
       "       acc_std       algorithm       anbieter  \\\n",
       "0     3.371018  gradient_boost       Alpiq AG   \n",
       "1     4.434386   decision_tree       Alpiq AG   \n",
       "2     3.536497   random_forest       Alpiq AG   \n",
       "3     3.513515  gradient_boost       Alpiq AG   \n",
       "4     3.965385   decision_tree       Alpiq AG   \n",
       "5     3.346875   random_forest       Alpiq AG   \n",
       "6     3.490451  gradient_boost       Alpiq AG   \n",
       "7     4.042535   decision_tree       Alpiq AG   \n",
       "8     3.249521   random_forest       Alpiq AG   \n",
       "9     3.506980  gradient_boost       Alpiq AG   \n",
       "10    4.631805   decision_tree       Alpiq AG   \n",
       "11    3.759541   random_forest       Alpiq AG   \n",
       "12    2.995981  gradient_boost       Alpiq AG   \n",
       "13    4.264562   decision_tree       Alpiq AG   \n",
       "14    3.312415   random_forest       Alpiq AG   \n",
       "15    3.350872  gradient_boost       Alpiq AG   \n",
       "16    3.843057   decision_tree       Alpiq AG   \n",
       "17    3.102702   random_forest       Alpiq AG   \n",
       "18    3.321846  gradient_boost       Alpiq AG   \n",
       "19    4.462865   decision_tree       Alpiq AG   \n",
       "20    3.143838   random_forest       Alpiq AG   \n",
       "21    2.464690  gradient_boost       Swisscom   \n",
       "22    5.654726   decision_tree       Swisscom   \n",
       "23    2.299906   random_forest       Swisscom   \n",
       "24    2.458091  gradient_boost       Swisscom   \n",
       "25    5.198513   decision_tree       Swisscom   \n",
       "26    2.370629   random_forest       Swisscom   \n",
       "27    2.559803  gradient_boost       Swisscom   \n",
       "28    5.194196   decision_tree       Swisscom   \n",
       "29    2.533326   random_forest       Swisscom   \n",
       "..         ...             ...            ...   \n",
       "273   8.576744  gradient_boost    IT-Logix AG   \n",
       "274  15.383433   decision_tree    IT-Logix AG   \n",
       "275   9.001600   random_forest    IT-Logix AG   \n",
       "276   8.862011  gradient_boost    IT-Logix AG   \n",
       "277  14.598550   decision_tree    IT-Logix AG   \n",
       "278   9.275151   random_forest    IT-Logix AG   \n",
       "279   9.534326  gradient_boost    IT-Logix AG   \n",
       "280  14.703744   decision_tree    IT-Logix AG   \n",
       "281   9.139740   random_forest    IT-Logix AG   \n",
       "282  11.728839  gradient_boost  AVS Syteme AG   \n",
       "283  15.651185   decision_tree  AVS Syteme AG   \n",
       "284  12.605514   random_forest  AVS Syteme AG   \n",
       "285  12.703296  gradient_boost  AVS Syteme AG   \n",
       "286  14.313940   decision_tree  AVS Syteme AG   \n",
       "287  13.397949   random_forest  AVS Syteme AG   \n",
       "288  13.249357  gradient_boost  AVS Syteme AG   \n",
       "289  17.700083   decision_tree  AVS Syteme AG   \n",
       "290  13.361712   random_forest  AVS Syteme AG   \n",
       "291  12.309149  gradient_boost  AVS Syteme AG   \n",
       "292  15.726193   decision_tree  AVS Syteme AG   \n",
       "293  12.997280   random_forest  AVS Syteme AG   \n",
       "294  12.570609  gradient_boost  AVS Syteme AG   \n",
       "295  14.618378   decision_tree  AVS Syteme AG   \n",
       "296  13.473131   random_forest  AVS Syteme AG   \n",
       "297  13.144112  gradient_boost  AVS Syteme AG   \n",
       "298  16.362065   decision_tree  AVS Syteme AG   \n",
       "299  13.385881   random_forest  AVS Syteme AG   \n",
       "300  11.782541  gradient_boost  AVS Syteme AG   \n",
       "301  15.398741   decision_tree  AVS Syteme AG   \n",
       "302  12.796385   random_forest  AVS Syteme AG   \n",
       "\n",
       "                                            attributes  ...     fn_std  \\\n",
       "0                                    ausschreibung_cpv  ...   5.546030   \n",
       "1                                    ausschreibung_cpv  ...  25.090367   \n",
       "2                                    ausschreibung_cpv  ...   4.540986   \n",
       "3                    ausschreibung_cpv,auftragsart_art  ...   6.774667   \n",
       "4                    ausschreibung_cpv,auftragsart_art  ...  26.729365   \n",
       "5                    ausschreibung_cpv,auftragsart_art  ...   5.775495   \n",
       "6    ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   6.617152   \n",
       "7    ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  27.307817   \n",
       "8    ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   6.503123   \n",
       "9    ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   6.158049   \n",
       "10   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  28.003470   \n",
       "11   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   5.989974   \n",
       "12   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   5.824002   \n",
       "13   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  26.842117   \n",
       "14   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   5.322119   \n",
       "15   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   6.291612   \n",
       "16   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  24.166843   \n",
       "17   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   5.481652   \n",
       "18   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   5.933084   \n",
       "19   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  23.775675   \n",
       "20   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   5.308341   \n",
       "21                                   ausschreibung_cpv  ...   4.156852   \n",
       "22                                   ausschreibung_cpv  ...  16.168841   \n",
       "23                                   ausschreibung_cpv  ...   3.720863   \n",
       "24                   ausschreibung_cpv,auftragsart_art  ...   4.333164   \n",
       "25                   ausschreibung_cpv,auftragsart_art  ...  17.962905   \n",
       "26                   ausschreibung_cpv,auftragsart_art  ...   3.857542   \n",
       "27   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   4.430842   \n",
       "28   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  16.415880   \n",
       "29   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   4.037258   \n",
       "..                                                 ...  ...        ...   \n",
       "273  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  18.326244   \n",
       "274  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  18.721140   \n",
       "275  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  18.326244   \n",
       "276  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  18.655462   \n",
       "277  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  21.878747   \n",
       "278  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  17.595267   \n",
       "279  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  18.495083   \n",
       "280  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  21.562186   \n",
       "281  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  18.168148   \n",
       "282                                  ausschreibung_cpv  ...  23.109969   \n",
       "283                                  ausschreibung_cpv  ...  28.196578   \n",
       "284                                  ausschreibung_cpv  ...  24.840407   \n",
       "285                  ausschreibung_cpv,auftragsart_art  ...  25.731247   \n",
       "286                  ausschreibung_cpv,auftragsart_art  ...  29.084803   \n",
       "287                  ausschreibung_cpv,auftragsart_art  ...  25.647089   \n",
       "288  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  24.905886   \n",
       "289  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  27.864806   \n",
       "290  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  25.122860   \n",
       "291  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  25.357154   \n",
       "292  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  29.736871   \n",
       "293  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  26.202417   \n",
       "294  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  25.626617   \n",
       "295  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  28.340799   \n",
       "296  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  26.838493   \n",
       "297  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  26.243441   \n",
       "298  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  30.272135   \n",
       "299  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  27.267702   \n",
       "300  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  26.601433   \n",
       "301  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  28.798091   \n",
       "302  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  26.442485   \n",
       "\n",
       "            label   mcc_max  mcc_mean  mcc_median   mcc_min  mcc_quantile_25  \\\n",
       "0    Construction  0.652979  0.508117    0.511478  0.319422         0.466642   \n",
       "1    Construction  0.612929  0.335425    0.335176  0.062334         0.266525   \n",
       "2    Construction  0.660877  0.515587    0.515624  0.311979         0.481469   \n",
       "3    Construction  0.683088  0.514520    0.523304  0.307292         0.478383   \n",
       "4    Construction  0.602937  0.362977    0.380542  0.086934         0.282243   \n",
       "5    Construction  0.660167  0.526917    0.533748  0.338435         0.489668   \n",
       "6    Construction  0.689613  0.521835    0.517742  0.348983         0.473770   \n",
       "7    Construction  0.538351  0.362443    0.385069  0.066013         0.286283   \n",
       "8    Construction  0.659528  0.512730    0.507971  0.358044         0.468734   \n",
       "9    Construction  0.657659  0.519278    0.519111  0.305888         0.469989   \n",
       "10   Construction  0.568137  0.330126    0.333335  0.061774         0.237931   \n",
       "11   Construction  0.668104  0.514839    0.515976  0.346790         0.458366   \n",
       "12   Construction  0.656699  0.532133    0.534763  0.390978         0.491978   \n",
       "13   Construction  0.556428  0.362381    0.387156 -0.061651         0.285515   \n",
       "14   Construction  0.696155  0.533729    0.532668  0.388485         0.490622   \n",
       "15   Construction  0.726627  0.532563    0.528786  0.366127         0.481483   \n",
       "16   Construction  0.593504  0.342605    0.344786 -0.032941         0.285534   \n",
       "17   Construction  0.705768  0.537958    0.537778  0.398410         0.488341   \n",
       "18   Construction  0.670698  0.534486    0.543233  0.342017         0.499607   \n",
       "19   Construction  0.540637  0.341856    0.357045  0.080979         0.260802   \n",
       "20   Construction  0.690553  0.532527    0.527899  0.389257         0.486689   \n",
       "21   Construction  0.917035  0.819153    0.828365  0.708481         0.778918   \n",
       "22   Construction  0.820259  0.585079    0.594966  0.255919         0.502402   \n",
       "23   Construction  0.924697  0.827488    0.834404  0.696891         0.799374   \n",
       "24   Construction  0.918937  0.826712    0.828674  0.721396         0.786420   \n",
       "25   Construction  0.815160  0.600017    0.610265  0.311887         0.529360   \n",
       "26   Construction  0.931815  0.835814    0.840477  0.723548         0.801348   \n",
       "27   Construction  0.924697  0.825916    0.835390  0.698513         0.792216   \n",
       "28   Construction  0.821857  0.587386    0.584425  0.303690         0.518988   \n",
       "29   Construction  0.917035  0.832186    0.838786  0.667948         0.805225   \n",
       "..            ...       ...       ...         ...       ...              ...   \n",
       "273        Divers  1.000000  0.882075    1.000000  0.000000         0.790569   \n",
       "274        Divers  1.000000  0.782631    0.800000 -0.188982         0.632456   \n",
       "275        Divers  1.000000  0.885037    1.000000  0.000000         0.790569   \n",
       "276        Divers  1.000000  0.879682    1.000000  0.000000         0.790569   \n",
       "277        Divers  1.000000  0.788048    0.800000 -0.188982         0.632456   \n",
       "278        Divers  1.000000  0.883826    1.000000 -0.188982         0.790569   \n",
       "279        Divers  1.000000  0.879043    1.000000  0.000000         0.790569   \n",
       "280        Divers  1.000000  0.761078    0.790569  0.000000         0.597614   \n",
       "281        Divers  1.000000  0.881150    1.000000 -0.188982         0.790569   \n",
       "282        Divers  1.000000  0.677613    0.763763 -0.166667         0.509175   \n",
       "283        Divers  1.000000  0.523443    0.591667 -0.408248         0.356348   \n",
       "284        Divers  1.000000  0.669616    0.763763 -0.272166         0.506881   \n",
       "285        Divers  1.000000  0.652251    0.666667 -0.272166         0.523810   \n",
       "286        Divers  1.000000  0.503264    0.523810 -0.327327         0.350595   \n",
       "287        Divers  1.000000  0.641635    0.666667 -0.272166         0.500000   \n",
       "288        Divers  1.000000  0.677649    0.763763 -0.272166         0.520151   \n",
       "289        Divers  1.000000  0.471209    0.504588 -0.408248         0.218218   \n",
       "290        Divers  1.000000  0.672493    0.666667 -0.272166         0.523810   \n",
       "291        Divers  1.000000  0.670286    0.763763 -0.272166         0.523810   \n",
       "292        Divers  1.000000  0.480543    0.509175 -0.534522         0.333333   \n",
       "293        Divers  1.000000  0.649805    0.666667 -0.272166         0.509175   \n",
       "294        Divers  1.000000  0.655091    0.763763 -0.272166         0.506881   \n",
       "295        Divers  1.000000  0.463705    0.509175 -0.250000         0.218218   \n",
       "296        Divers  1.000000  0.638412    0.666667 -0.272166         0.506881   \n",
       "297        Divers  1.000000  0.660321    0.763763 -0.272166         0.423491   \n",
       "298        Divers  1.000000  0.480572    0.516492 -0.408248         0.333333   \n",
       "299        Divers  1.000000  0.630103    0.660660 -0.272166         0.482143   \n",
       "300        Divers  1.000000  0.618862    0.612372 -0.272166         0.423491   \n",
       "301        Divers  1.000000  0.465110    0.534522 -0.408248         0.266624   \n",
       "302        Divers  1.000000  0.631654    0.654654 -0.272166         0.482143   \n",
       "\n",
       "    mcc_quantile_75    mcc_std  sample_size_mean  \n",
       "0          0.548575   6.497478             215.0  \n",
       "1          0.420601  11.364098             215.0  \n",
       "2          0.557268   6.642733             215.0  \n",
       "3          0.560425   6.878283             215.0  \n",
       "4          0.447677  10.687530             215.0  \n",
       "5          0.567399   6.553449             215.0  \n",
       "6          0.572346   7.000562             215.0  \n",
       "7          0.447883  11.323279             215.0  \n",
       "8          0.558203   6.583078             215.0  \n",
       "9          0.572413   7.108965             215.0  \n",
       "10         0.419644  12.348916             215.0  \n",
       "11         0.566262   7.580573             215.0  \n",
       "12         0.576135   6.097239             215.0  \n",
       "13         0.446226  11.847074             215.0  \n",
       "14         0.582220   6.678181             215.0  \n",
       "15         0.574890   6.920654             215.0  \n",
       "16         0.413708  10.798120             215.0  \n",
       "17         0.581706   6.307467             215.0  \n",
       "18         0.573332   6.789165             215.0  \n",
       "19         0.423423  10.869665             215.0  \n",
       "20         0.584006   6.321712             215.0  \n",
       "21         0.856503   4.888860             147.0  \n",
       "22         0.667302  11.267323             147.0  \n",
       "23         0.860889   4.577941             147.0  \n",
       "24         0.865730   4.949166             147.0  \n",
       "25         0.661602  10.311403             147.0  \n",
       "26         0.873795   4.734717             147.0  \n",
       "27         0.859317   5.164993             147.0  \n",
       "28         0.652064  10.070066             147.0  \n",
       "29         0.865933   5.112310             147.0  \n",
       "..              ...        ...               ...  \n",
       "273        1.000000  20.020577               9.0  \n",
       "274        1.000000  26.038690               9.0  \n",
       "275        1.000000  20.488134               9.0  \n",
       "276        1.000000  20.510302               9.0  \n",
       "277        1.000000  26.843097               9.0  \n",
       "278        1.000000  21.496646               9.0  \n",
       "279        1.000000  21.176224               9.0  \n",
       "280        1.000000  25.412557               9.0  \n",
       "281        1.000000  21.472055               9.0  \n",
       "282        0.816497  24.763790              10.0  \n",
       "283        0.763763  30.288506              10.0  \n",
       "284        0.816497  26.196202              10.0  \n",
       "285        0.816497  28.134779              10.0  \n",
       "286        0.690941  29.461827              10.0  \n",
       "287        0.816497  27.539947              10.0  \n",
       "288        0.816497  26.098220              10.0  \n",
       "289        0.666667  32.366332              10.0  \n",
       "290        0.816497  26.216532              10.0  \n",
       "291        0.816497  25.819434              10.0  \n",
       "292        0.666667  34.201064              10.0  \n",
       "293        0.816497  26.086498              10.0  \n",
       "294        0.816497  26.846769              10.0  \n",
       "295        0.657657  30.404204              10.0  \n",
       "296        0.816497  28.278445              10.0  \n",
       "297        0.816497  27.758710              10.0  \n",
       "298        0.763763  32.863961              10.0  \n",
       "299        0.816497  28.223996              10.0  \n",
       "300        0.816497  25.475979              10.0  \n",
       "301        0.657657  31.176183              10.0  \n",
       "302        0.816497  25.351845              10.0  \n",
       "\n",
       "[303 rows x 26 columns]"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = collection.df_row_per_algorithm()\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>acc_max</th>\n",
       "      <th>acc_mean</th>\n",
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       "      <th>255</th>\n",
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       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
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       "      <td>32.850494</td>\n",
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       "      <td>1.000000</td>\n",
       "      <td>0.319301</td>\n",
       "      <td>0.408248</td>\n",
       "      <td>-0.666667</td>\n",
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       "      <td>0.612372</td>\n",
       "      <td>38.607158</td>\n",
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       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>100.00</td>\n",
       "      <td>62.4000</td>\n",
       "      <td>60.000</td>\n",
       "      <td>20.00</td>\n",
       "      <td>40.0000</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>19.751998</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>DB Schenker AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>33.851912</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.306633</td>\n",
       "      <td>0.408248</td>\n",
       "      <td>-0.666667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.612372</td>\n",
       "      <td>36.237739</td>\n",
       "      <td>5.0</td>\n",
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       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>100.00</td>\n",
       "      <td>59.6000</td>\n",
       "      <td>60.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>40.0000</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>23.264835</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>DB Schenker AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>33.014201</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.233476</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.612372</td>\n",
       "      <td>44.159755</td>\n",
       "      <td>5.0</td>\n",
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       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>100.00</td>\n",
       "      <td>64.2000</td>\n",
       "      <td>60.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>40.0000</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>21.704163</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>DB Schenker AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>35.440801</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.318973</td>\n",
       "      <td>0.408248</td>\n",
       "      <td>-0.666667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.612372</td>\n",
       "      <td>40.556694</td>\n",
       "      <td>5.0</td>\n",
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       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>100.00</td>\n",
       "      <td>63.6000</td>\n",
       "      <td>60.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>60.0000</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>19.772443</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>DB Schenker AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>33.595913</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.322550</td>\n",
       "      <td>0.408248</td>\n",
       "      <td>-0.666667</td>\n",
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       "      <td>36.332306</td>\n",
       "      <td>5.0</td>\n",
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       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>100.00</td>\n",
       "      <td>57.6000</td>\n",
       "      <td>60.000</td>\n",
       "      <td>20.00</td>\n",
       "      <td>40.0000</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>20.749589</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>DB Schenker AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>36.050155</td>\n",
       "      <td>Divers</td>\n",
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       "      <td>0.180480</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>-0.666667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.408248</td>\n",
       "      <td>41.081330</td>\n",
       "      <td>5.0</td>\n",
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       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>100.00</td>\n",
       "      <td>63.8000</td>\n",
       "      <td>60.000</td>\n",
       "      <td>20.00</td>\n",
       "      <td>60.0000</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>20.239974</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>DB Schenker AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>35.132670</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.306801</td>\n",
       "      <td>0.408248</td>\n",
       "      <td>-0.612372</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.612372</td>\n",
       "      <td>39.908822</td>\n",
       "      <td>5.0</td>\n",
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       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>100.00</td>\n",
       "      <td>62.2000</td>\n",
       "      <td>60.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>40.0000</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>22.544233</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>DB Schenker AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>33.776227</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.263598</td>\n",
       "      <td>0.329124</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.612372</td>\n",
       "      <td>43.563154</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>100.00</td>\n",
       "      <td>63.8000</td>\n",
       "      <td>60.000</td>\n",
       "      <td>20.00</td>\n",
       "      <td>60.0000</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>18.134180</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>DB Schenker AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>33.402016</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.284591</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>-0.612372</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.612372</td>\n",
       "      <td>37.471569</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>100.00</td>\n",
       "      <td>92.3341</td>\n",
       "      <td>100.000</td>\n",
       "      <td>66.67</td>\n",
       "      <td>88.8900</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>9.301327</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>IT-Logix AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>19.883963</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.842802</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.755929</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>20.682406</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>100.00</td>\n",
       "      <td>92.7785</td>\n",
       "      <td>100.000</td>\n",
       "      <td>66.67</td>\n",
       "      <td>88.8900</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>8.411615</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>IT-Logix AG</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>19.692848</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.848113</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.755929</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>19.746706</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>100.00</td>\n",
       "      <td>85.5566</td>\n",
       "      <td>88.890</td>\n",
       "      <td>22.22</td>\n",
       "      <td>77.7800</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>16.066277</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>IT-Logix AG</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>21.921234</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.729251</td>\n",
       "      <td>0.790569</td>\n",
       "      <td>-0.500000</td>\n",
       "      <td>0.632456</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>29.298294</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>100.00</td>\n",
       "      <td>92.1119</td>\n",
       "      <td>94.445</td>\n",
       "      <td>66.67</td>\n",
       "      <td>88.8900</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>9.111733</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>IT-Logix AG</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>21.720225</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.835206</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.755929</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>20.752025</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>100.00</td>\n",
       "      <td>91.4453</td>\n",
       "      <td>100.000</td>\n",
       "      <td>66.67</td>\n",
       "      <td>77.7800</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>10.337421</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Aebi &amp; Co. AG Maschinenfabrik</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>18.137632</td>\n",
       "      <td>Other</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.835534</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.316228</td>\n",
       "      <td>0.632456</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>19.938422</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>100.00</td>\n",
       "      <td>81.5568</td>\n",
       "      <td>88.890</td>\n",
       "      <td>33.33</td>\n",
       "      <td>66.6700</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>17.530206</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Aebi &amp; Co. AG Maschinenfabrik</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>24.512508</td>\n",
       "      <td>Other</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.678391</td>\n",
       "      <td>0.708683</td>\n",
       "      <td>-0.100000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>29.074099</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>100.00</td>\n",
       "      <td>92.5563</td>\n",
       "      <td>100.000</td>\n",
       "      <td>66.67</td>\n",
       "      <td>88.8900</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>9.741309</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Aebi &amp; Co. AG Maschinenfabrik</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>19.083828</td>\n",
       "      <td>Other</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.854168</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.316228</td>\n",
       "      <td>0.781909</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>19.059589</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>100.00</td>\n",
       "      <td>93.0007</td>\n",
       "      <td>100.000</td>\n",
       "      <td>66.67</td>\n",
       "      <td>88.8900</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>9.160860</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Aebi &amp; Co. AG Maschinenfabrik</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>16.864129</td>\n",
       "      <td>Other</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.861663</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.316228</td>\n",
       "      <td>0.790569</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>18.288052</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>100.00</td>\n",
       "      <td>82.5568</td>\n",
       "      <td>88.890</td>\n",
       "      <td>33.33</td>\n",
       "      <td>66.6700</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>17.814817</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Aebi &amp; Co. AG Maschinenfabrik</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>23.889177</td>\n",
       "      <td>Other</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.675826</td>\n",
       "      <td>0.790569</td>\n",
       "      <td>-0.395285</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>33.304084</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>100.00</td>\n",
       "      <td>93.6673</td>\n",
       "      <td>100.000</td>\n",
       "      <td>55.56</td>\n",
       "      <td>88.8900</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>10.018931</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Aebi &amp; Co. AG Maschinenfabrik</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>19.232000</td>\n",
       "      <td>Other</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.876880</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.790569</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>19.909895</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>100.00</td>\n",
       "      <td>93.4451</td>\n",
       "      <td>100.000</td>\n",
       "      <td>66.67</td>\n",
       "      <td>88.8900</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>9.354791</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Aebi &amp; Co. AG Maschinenfabrik</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>17.398996</td>\n",
       "      <td>Other</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.870372</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.316228</td>\n",
       "      <td>0.790569</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>18.467846</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>100.00</td>\n",
       "      <td>86.6677</td>\n",
       "      <td>88.890</td>\n",
       "      <td>22.22</td>\n",
       "      <td>77.7800</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>15.712941</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Aebi &amp; Co. AG Maschinenfabrik</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>18.150135</td>\n",
       "      <td>Other</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.770999</td>\n",
       "      <td>0.790569</td>\n",
       "      <td>-0.188982</td>\n",
       "      <td>0.623745</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>24.734276</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>100.00</td>\n",
       "      <td>94.1117</td>\n",
       "      <td>100.000</td>\n",
       "      <td>66.67</td>\n",
       "      <td>88.8900</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>8.856381</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Aebi &amp; Co. AG Maschinenfabrik</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>12.266640</td>\n",
       "      <td>Other</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.885473</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.316228</td>\n",
       "      <td>0.790569</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>16.999144</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>100.00</td>\n",
       "      <td>93.2229</td>\n",
       "      <td>100.000</td>\n",
       "      <td>66.67</td>\n",
       "      <td>88.8900</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>9.328097</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Aebi &amp; Co. AG Maschinenfabrik</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>16.832421</td>\n",
       "      <td>Other</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.870867</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.316228</td>\n",
       "      <td>0.790569</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>17.928312</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>100.00</td>\n",
       "      <td>82.4457</td>\n",
       "      <td>88.890</td>\n",
       "      <td>22.22</td>\n",
       "      <td>77.7800</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>18.361140</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Aebi &amp; Co. AG Maschinenfabrik</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>28.116679</td>\n",
       "      <td>Other</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.690177</td>\n",
       "      <td>0.790569</td>\n",
       "      <td>-0.250000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>30.473193</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>100.00</td>\n",
       "      <td>85.3346</td>\n",
       "      <td>88.890</td>\n",
       "      <td>33.33</td>\n",
       "      <td>77.7800</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>14.803864</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>IT-Logix AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>21.248689</td>\n",
       "      <td>Divers</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.735978</td>\n",
       "      <td>0.790569</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.597614</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>24.942342</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>100.00</td>\n",
       "      <td>93.6673</td>\n",
       "      <td>100.000</td>\n",
       "      <td>66.67</td>\n",
       "      <td>88.8900</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>9.106258</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Aebi &amp; Co. AG Maschinenfabrik</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>15.394330</td>\n",
       "      <td>Other</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.876145</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.316228</td>\n",
       "      <td>0.781909</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>17.747267</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>100.00</td>\n",
       "      <td>85.4457</td>\n",
       "      <td>88.890</td>\n",
       "      <td>22.22</td>\n",
       "      <td>77.7800</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>15.924994</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Aebi &amp; Co. AG Maschinenfabrik</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>24.396686</td>\n",
       "      <td>Other</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.727627</td>\n",
       "      <td>0.790569</td>\n",
       "      <td>-0.188982</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>28.258667</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>100.00</td>\n",
       "      <td>91.8897</td>\n",
       "      <td>100.000</td>\n",
       "      <td>66.67</td>\n",
       "      <td>88.8900</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>9.969029</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Aebi &amp; Co. AG Maschinenfabrik</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>17.121471</td>\n",
       "      <td>Other</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.845372</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.316228</td>\n",
       "      <td>0.755929</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>18.804200</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>100.00</td>\n",
       "      <td>92.3341</td>\n",
       "      <td>100.000</td>\n",
       "      <td>66.67</td>\n",
       "      <td>88.8900</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>10.318106</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Aebi &amp; Co. AG Maschinenfabrik</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>17.802823</td>\n",
       "      <td>Other</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.849476</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.316228</td>\n",
       "      <td>0.755929</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>20.046268</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>100.00</td>\n",
       "      <td>84.8901</td>\n",
       "      <td>88.890</td>\n",
       "      <td>33.33</td>\n",
       "      <td>77.7800</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>15.989633</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Aebi &amp; Co. AG Maschinenfabrik</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>16.413952</td>\n",
       "      <td>Other</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.733891</td>\n",
       "      <td>0.790569</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.585711</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>27.490534</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>89.74</td>\n",
       "      <td>84.2770</td>\n",
       "      <td>84.620</td>\n",
       "      <td>77.95</td>\n",
       "      <td>82.5600</td>\n",
       "      <td>86.1500</td>\n",
       "      <td>2.416897</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Siemens AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>4.692917</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.779111</td>\n",
       "      <td>0.669532</td>\n",
       "      <td>0.670837</td>\n",
       "      <td>0.546849</td>\n",
       "      <td>0.639322</td>\n",
       "      <td>0.707983</td>\n",
       "      <td>5.106307</td>\n",
       "      <td>195.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>88.72</td>\n",
       "      <td>84.5950</td>\n",
       "      <td>85.130</td>\n",
       "      <td>77.95</td>\n",
       "      <td>83.5900</td>\n",
       "      <td>86.1500</td>\n",
       "      <td>2.234667</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Siemens AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>4.685832</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.766848</td>\n",
       "      <td>0.675834</td>\n",
       "      <td>0.677766</td>\n",
       "      <td>0.524101</td>\n",
       "      <td>0.648788</td>\n",
       "      <td>0.709929</td>\n",
       "      <td>4.758929</td>\n",
       "      <td>195.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>84.62</td>\n",
       "      <td>73.8615</td>\n",
       "      <td>74.105</td>\n",
       "      <td>63.08</td>\n",
       "      <td>70.7700</td>\n",
       "      <td>76.9200</td>\n",
       "      <td>4.228407</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Siemens AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>14.357278</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.682391</td>\n",
       "      <td>0.454718</td>\n",
       "      <td>0.467145</td>\n",
       "      <td>0.226268</td>\n",
       "      <td>0.402986</td>\n",
       "      <td>0.509701</td>\n",
       "      <td>8.623935</td>\n",
       "      <td>195.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>89.74</td>\n",
       "      <td>84.4262</td>\n",
       "      <td>84.620</td>\n",
       "      <td>76.41</td>\n",
       "      <td>83.0800</td>\n",
       "      <td>86.1500</td>\n",
       "      <td>2.378644</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Siemens AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>4.734047</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.779375</td>\n",
       "      <td>0.672734</td>\n",
       "      <td>0.674502</td>\n",
       "      <td>0.525226</td>\n",
       "      <td>0.644032</td>\n",
       "      <td>0.703927</td>\n",
       "      <td>4.983523</td>\n",
       "      <td>195.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>88.72</td>\n",
       "      <td>84.3389</td>\n",
       "      <td>84.620</td>\n",
       "      <td>77.95</td>\n",
       "      <td>82.9500</td>\n",
       "      <td>85.7675</td>\n",
       "      <td>2.357562</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Siemens AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>5.307876</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.766131</td>\n",
       "      <td>0.670543</td>\n",
       "      <td>0.672577</td>\n",
       "      <td>0.520434</td>\n",
       "      <td>0.644652</td>\n",
       "      <td>0.702567</td>\n",
       "      <td>4.976704</td>\n",
       "      <td>195.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>86.15</td>\n",
       "      <td>74.6509</td>\n",
       "      <td>74.870</td>\n",
       "      <td>57.44</td>\n",
       "      <td>71.7900</td>\n",
       "      <td>78.5875</td>\n",
       "      <td>5.035696</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Siemens AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>14.845302</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.704203</td>\n",
       "      <td>0.474858</td>\n",
       "      <td>0.477170</td>\n",
       "      <td>0.255959</td>\n",
       "      <td>0.409786</td>\n",
       "      <td>0.550149</td>\n",
       "      <td>10.049667</td>\n",
       "      <td>195.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>88.72</td>\n",
       "      <td>84.4974</td>\n",
       "      <td>84.620</td>\n",
       "      <td>77.44</td>\n",
       "      <td>82.9500</td>\n",
       "      <td>86.1500</td>\n",
       "      <td>2.299930</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Siemens AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>4.940132</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.771789</td>\n",
       "      <td>0.673890</td>\n",
       "      <td>0.677201</td>\n",
       "      <td>0.547110</td>\n",
       "      <td>0.636984</td>\n",
       "      <td>0.712267</td>\n",
       "      <td>4.813148</td>\n",
       "      <td>195.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>84.10</td>\n",
       "      <td>74.1077</td>\n",
       "      <td>74.360</td>\n",
       "      <td>60.51</td>\n",
       "      <td>71.2800</td>\n",
       "      <td>77.0500</td>\n",
       "      <td>4.621690</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Siemens AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>13.745487</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.638646</td>\n",
       "      <td>0.463698</td>\n",
       "      <td>0.468591</td>\n",
       "      <td>0.191198</td>\n",
       "      <td>0.415698</td>\n",
       "      <td>0.515017</td>\n",
       "      <td>8.702874</td>\n",
       "      <td>195.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>88.21</td>\n",
       "      <td>84.0261</td>\n",
       "      <td>84.360</td>\n",
       "      <td>76.92</td>\n",
       "      <td>82.5600</td>\n",
       "      <td>85.6400</td>\n",
       "      <td>2.366820</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Siemens AG</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>5.009495</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.756881</td>\n",
       "      <td>0.664001</td>\n",
       "      <td>0.670532</td>\n",
       "      <td>0.527097</td>\n",
       "      <td>0.630115</td>\n",
       "      <td>0.700081</td>\n",
       "      <td>4.917494</td>\n",
       "      <td>195.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>77.21</td>\n",
       "      <td>68.4423</td>\n",
       "      <td>68.840</td>\n",
       "      <td>59.53</td>\n",
       "      <td>66.5100</td>\n",
       "      <td>70.7000</td>\n",
       "      <td>4.042535</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>27.307817</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.538351</td>\n",
       "      <td>0.362443</td>\n",
       "      <td>0.385069</td>\n",
       "      <td>0.066013</td>\n",
       "      <td>0.286283</td>\n",
       "      <td>0.447883</td>\n",
       "      <td>11.323279</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>83.72</td>\n",
       "      <td>76.2967</td>\n",
       "      <td>76.280</td>\n",
       "      <td>67.44</td>\n",
       "      <td>73.9500</td>\n",
       "      <td>78.7175</td>\n",
       "      <td>3.490451</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>6.617152</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.689613</td>\n",
       "      <td>0.521835</td>\n",
       "      <td>0.517742</td>\n",
       "      <td>0.348983</td>\n",
       "      <td>0.473770</td>\n",
       "      <td>0.572346</td>\n",
       "      <td>7.000562</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>82.33</td>\n",
       "      <td>75.1806</td>\n",
       "      <td>75.350</td>\n",
       "      <td>66.05</td>\n",
       "      <td>73.0200</td>\n",
       "      <td>77.6700</td>\n",
       "      <td>3.346875</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>5.775495</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.660167</td>\n",
       "      <td>0.526917</td>\n",
       "      <td>0.533748</td>\n",
       "      <td>0.338435</td>\n",
       "      <td>0.489668</td>\n",
       "      <td>0.567399</td>\n",
       "      <td>6.553449</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>79.07</td>\n",
       "      <td>67.9074</td>\n",
       "      <td>68.370</td>\n",
       "      <td>58.60</td>\n",
       "      <td>65.0025</td>\n",
       "      <td>70.7000</td>\n",
       "      <td>4.434386</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>25.090367</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.612929</td>\n",
       "      <td>0.335425</td>\n",
       "      <td>0.335176</td>\n",
       "      <td>0.062334</td>\n",
       "      <td>0.266525</td>\n",
       "      <td>0.420601</td>\n",
       "      <td>11.364098</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>83.72</td>\n",
       "      <td>74.6179</td>\n",
       "      <td>74.650</td>\n",
       "      <td>66.05</td>\n",
       "      <td>72.5600</td>\n",
       "      <td>76.7400</td>\n",
       "      <td>3.513515</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>6.774667</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.683088</td>\n",
       "      <td>0.514520</td>\n",
       "      <td>0.523304</td>\n",
       "      <td>0.307292</td>\n",
       "      <td>0.478383</td>\n",
       "      <td>0.560425</td>\n",
       "      <td>6.878283</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>82.33</td>\n",
       "      <td>74.5571</td>\n",
       "      <td>74.420</td>\n",
       "      <td>64.65</td>\n",
       "      <td>72.5600</td>\n",
       "      <td>76.7400</td>\n",
       "      <td>3.536497</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>4.540986</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.660877</td>\n",
       "      <td>0.515587</td>\n",
       "      <td>0.515624</td>\n",
       "      <td>0.311979</td>\n",
       "      <td>0.481469</td>\n",
       "      <td>0.557268</td>\n",
       "      <td>6.642733</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>83.72</td>\n",
       "      <td>76.0454</td>\n",
       "      <td>75.810</td>\n",
       "      <td>68.37</td>\n",
       "      <td>73.9500</td>\n",
       "      <td>78.6000</td>\n",
       "      <td>3.249521</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>6.503123</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.659528</td>\n",
       "      <td>0.512730</td>\n",
       "      <td>0.507971</td>\n",
       "      <td>0.358044</td>\n",
       "      <td>0.468734</td>\n",
       "      <td>0.558203</td>\n",
       "      <td>6.583078</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>80.00</td>\n",
       "      <td>68.3309</td>\n",
       "      <td>68.605</td>\n",
       "      <td>59.53</td>\n",
       "      <td>65.9325</td>\n",
       "      <td>70.7000</td>\n",
       "      <td>3.965385</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>26.729365</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.602937</td>\n",
       "      <td>0.362977</td>\n",
       "      <td>0.380542</td>\n",
       "      <td>0.086934</td>\n",
       "      <td>0.282243</td>\n",
       "      <td>0.447677</td>\n",
       "      <td>10.687530</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>82.79</td>\n",
       "      <td>76.3762</td>\n",
       "      <td>76.045</td>\n",
       "      <td>66.05</td>\n",
       "      <td>74.4200</td>\n",
       "      <td>79.0700</td>\n",
       "      <td>3.506980</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>6.158049</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.657659</td>\n",
       "      <td>0.519278</td>\n",
       "      <td>0.519111</td>\n",
       "      <td>0.305888</td>\n",
       "      <td>0.469989</td>\n",
       "      <td>0.572413</td>\n",
       "      <td>7.108965</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>76.28</td>\n",
       "      <td>68.1028</td>\n",
       "      <td>68.605</td>\n",
       "      <td>57.21</td>\n",
       "      <td>64.6500</td>\n",
       "      <td>71.6300</td>\n",
       "      <td>4.462865</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>23.775675</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.540637</td>\n",
       "      <td>0.341856</td>\n",
       "      <td>0.357045</td>\n",
       "      <td>0.080979</td>\n",
       "      <td>0.260802</td>\n",
       "      <td>0.423423</td>\n",
       "      <td>10.869665</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>83.72</td>\n",
       "      <td>76.3530</td>\n",
       "      <td>76.280</td>\n",
       "      <td>66.98</td>\n",
       "      <td>73.9500</td>\n",
       "      <td>78.6000</td>\n",
       "      <td>3.759541</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>5.989974</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.668104</td>\n",
       "      <td>0.514839</td>\n",
       "      <td>0.515976</td>\n",
       "      <td>0.346790</td>\n",
       "      <td>0.458366</td>\n",
       "      <td>0.566262</td>\n",
       "      <td>7.580573</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>84.19</td>\n",
       "      <td>77.5153</td>\n",
       "      <td>77.670</td>\n",
       "      <td>70.70</td>\n",
       "      <td>75.3500</td>\n",
       "      <td>79.5300</td>\n",
       "      <td>2.995981</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>5.824002</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.656699</td>\n",
       "      <td>0.532133</td>\n",
       "      <td>0.534763</td>\n",
       "      <td>0.390978</td>\n",
       "      <td>0.491978</td>\n",
       "      <td>0.576135</td>\n",
       "      <td>6.097239</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>77.67</td>\n",
       "      <td>68.6096</td>\n",
       "      <td>68.840</td>\n",
       "      <td>57.67</td>\n",
       "      <td>66.3950</td>\n",
       "      <td>71.6300</td>\n",
       "      <td>4.264562</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>26.842117</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.556428</td>\n",
       "      <td>0.362381</td>\n",
       "      <td>0.387156</td>\n",
       "      <td>-0.061651</td>\n",
       "      <td>0.285515</td>\n",
       "      <td>0.446226</td>\n",
       "      <td>11.847074</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>85.58</td>\n",
       "      <td>77.6225</td>\n",
       "      <td>77.440</td>\n",
       "      <td>69.77</td>\n",
       "      <td>75.3500</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>3.312415</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>5.322119</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.696155</td>\n",
       "      <td>0.533729</td>\n",
       "      <td>0.532668</td>\n",
       "      <td>0.388485</td>\n",
       "      <td>0.490622</td>\n",
       "      <td>0.582220</td>\n",
       "      <td>6.678181</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>86.98</td>\n",
       "      <td>77.5627</td>\n",
       "      <td>77.210</td>\n",
       "      <td>70.23</td>\n",
       "      <td>74.8800</td>\n",
       "      <td>79.6475</td>\n",
       "      <td>3.350872</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>6.291612</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.726627</td>\n",
       "      <td>0.532563</td>\n",
       "      <td>0.528786</td>\n",
       "      <td>0.366127</td>\n",
       "      <td>0.481483</td>\n",
       "      <td>0.574890</td>\n",
       "      <td>6.920654</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>78.60</td>\n",
       "      <td>68.6188</td>\n",
       "      <td>68.370</td>\n",
       "      <td>59.53</td>\n",
       "      <td>66.5100</td>\n",
       "      <td>71.1600</td>\n",
       "      <td>3.843057</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>24.166843</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.593504</td>\n",
       "      <td>0.342605</td>\n",
       "      <td>0.344786</td>\n",
       "      <td>-0.032941</td>\n",
       "      <td>0.285534</td>\n",
       "      <td>0.413708</td>\n",
       "      <td>10.798120</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>86.05</td>\n",
       "      <td>77.8177</td>\n",
       "      <td>77.905</td>\n",
       "      <td>71.63</td>\n",
       "      <td>75.8100</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>3.102702</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>5.481652</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.705768</td>\n",
       "      <td>0.537958</td>\n",
       "      <td>0.537778</td>\n",
       "      <td>0.398410</td>\n",
       "      <td>0.488341</td>\n",
       "      <td>0.581706</td>\n",
       "      <td>6.307467</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>84.19</td>\n",
       "      <td>77.6454</td>\n",
       "      <td>77.670</td>\n",
       "      <td>67.91</td>\n",
       "      <td>75.8100</td>\n",
       "      <td>79.5300</td>\n",
       "      <td>3.321846</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>5.933084</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.670698</td>\n",
       "      <td>0.534486</td>\n",
       "      <td>0.543233</td>\n",
       "      <td>0.342017</td>\n",
       "      <td>0.499607</td>\n",
       "      <td>0.573332</td>\n",
       "      <td>6.789165</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>85.12</td>\n",
       "      <td>77.5481</td>\n",
       "      <td>77.210</td>\n",
       "      <td>70.70</td>\n",
       "      <td>74.8800</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>3.143838</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>5.308341</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.690553</td>\n",
       "      <td>0.532527</td>\n",
       "      <td>0.527899</td>\n",
       "      <td>0.389257</td>\n",
       "      <td>0.486689</td>\n",
       "      <td>0.584006</td>\n",
       "      <td>6.321712</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>78.60</td>\n",
       "      <td>67.3072</td>\n",
       "      <td>67.910</td>\n",
       "      <td>53.02</td>\n",
       "      <td>64.0725</td>\n",
       "      <td>69.8850</td>\n",
       "      <td>4.631805</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>28.003470</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.568137</td>\n",
       "      <td>0.330126</td>\n",
       "      <td>0.333335</td>\n",
       "      <td>0.061774</td>\n",
       "      <td>0.237931</td>\n",
       "      <td>0.419644</td>\n",
       "      <td>12.348916</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>82.33</td>\n",
       "      <td>74.3483</td>\n",
       "      <td>74.420</td>\n",
       "      <td>65.12</td>\n",
       "      <td>72.5600</td>\n",
       "      <td>76.3950</td>\n",
       "      <td>3.371018</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>5.546030</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.652979</td>\n",
       "      <td>0.508117</td>\n",
       "      <td>0.511478</td>\n",
       "      <td>0.319422</td>\n",
       "      <td>0.466642</td>\n",
       "      <td>0.548575</td>\n",
       "      <td>6.497478</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>303 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     acc_max  acc_mean  acc_median  acc_min  acc_quantile_25  acc_quantile_75  \\\n",
       "255   100.00   64.4000      60.000    20.00          40.0000          80.0000   \n",
       "260   100.00   62.4000      60.000    20.00          40.0000          80.0000   \n",
       "259   100.00   59.6000      60.000     0.00          40.0000          80.0000   \n",
       "258   100.00   64.2000      60.000     0.00          40.0000          80.0000   \n",
       "257   100.00   63.6000      60.000     0.00          60.0000          80.0000   \n",
       "256   100.00   57.6000      60.000    20.00          40.0000          80.0000   \n",
       "254   100.00   63.8000      60.000    20.00          60.0000          80.0000   \n",
       "253   100.00   62.2000      60.000     0.00          40.0000          80.0000   \n",
       "252   100.00   63.8000      60.000    20.00          60.0000          80.0000   \n",
       "264   100.00   92.3341     100.000    66.67          88.8900         100.0000   \n",
       "263   100.00   92.7785     100.000    66.67          88.8900         100.0000   \n",
       "262   100.00   85.5566      88.890    22.22          77.7800         100.0000   \n",
       "261   100.00   92.1119      94.445    66.67          88.8900         100.0000   \n",
       "251   100.00   91.4453     100.000    66.67          77.7800         100.0000   \n",
       "250   100.00   81.5568      88.890    33.33          66.6700         100.0000   \n",
       "249   100.00   92.5563     100.000    66.67          88.8900         100.0000   \n",
       "248   100.00   93.0007     100.000    66.67          88.8900         100.0000   \n",
       "247   100.00   82.5568      88.890    33.33          66.6700         100.0000   \n",
       "233   100.00   93.6673     100.000    55.56          88.8900         100.0000   \n",
       "234   100.00   93.4451     100.000    66.67          88.8900         100.0000   \n",
       "235   100.00   86.6677      88.890    22.22          77.7800         100.0000   \n",
       "236   100.00   94.1117     100.000    66.67          88.8900         100.0000   \n",
       "237   100.00   93.2229     100.000    66.67          88.8900         100.0000   \n",
       "238   100.00   82.4457      88.890    22.22          77.7800         100.0000   \n",
       "265   100.00   85.3346      88.890    33.33          77.7800         100.0000   \n",
       "239   100.00   93.6673     100.000    66.67          88.8900         100.0000   \n",
       "241   100.00   85.4457      88.890    22.22          77.7800         100.0000   \n",
       "242   100.00   91.8897     100.000    66.67          88.8900         100.0000   \n",
       "243   100.00   92.3341     100.000    66.67          88.8900         100.0000   \n",
       "244   100.00   84.8901      88.890    33.33          77.7800         100.0000   \n",
       "..       ...       ...         ...      ...              ...              ...   \n",
       "72     89.74   84.2770      84.620    77.95          82.5600          86.1500   \n",
       "71     88.72   84.5950      85.130    77.95          83.5900          86.1500   \n",
       "70     84.62   73.8615      74.105    63.08          70.7700          76.9200   \n",
       "69     89.74   84.4262      84.620    76.41          83.0800          86.1500   \n",
       "68     88.72   84.3389      84.620    77.95          82.9500          85.7675   \n",
       "67     86.15   74.6509      74.870    57.44          71.7900          78.5875   \n",
       "66     88.72   84.4974      84.620    77.44          82.9500          86.1500   \n",
       "73     84.10   74.1077      74.360    60.51          71.2800          77.0500   \n",
       "65     88.21   84.0261      84.360    76.92          82.5600          85.6400   \n",
       "7      77.21   68.4423      68.840    59.53          66.5100          70.7000   \n",
       "6      83.72   76.2967      76.280    67.44          73.9500          78.7175   \n",
       "5      82.33   75.1806      75.350    66.05          73.0200          77.6700   \n",
       "1      79.07   67.9074      68.370    58.60          65.0025          70.7000   \n",
       "3      83.72   74.6179      74.650    66.05          72.5600          76.7400   \n",
       "2      82.33   74.5571      74.420    64.65          72.5600          76.7400   \n",
       "8      83.72   76.0454      75.810    68.37          73.9500          78.6000   \n",
       "4      80.00   68.3309      68.605    59.53          65.9325          70.7000   \n",
       "9      82.79   76.3762      76.045    66.05          74.4200          79.0700   \n",
       "19     76.28   68.1028      68.605    57.21          64.6500          71.6300   \n",
       "11     83.72   76.3530      76.280    66.98          73.9500          78.6000   \n",
       "12     84.19   77.5153      77.670    70.70          75.3500          79.5300   \n",
       "13     77.67   68.6096      68.840    57.67          66.3950          71.6300   \n",
       "14     85.58   77.6225      77.440    69.77          75.3500          80.0000   \n",
       "15     86.98   77.5627      77.210    70.23          74.8800          79.6475   \n",
       "16     78.60   68.6188      68.370    59.53          66.5100          71.1600   \n",
       "17     86.05   77.8177      77.905    71.63          75.8100          80.0000   \n",
       "18     84.19   77.6454      77.670    67.91          75.8100          79.5300   \n",
       "20     85.12   77.5481      77.210    70.70          74.8800          80.0000   \n",
       "10     78.60   67.3072      67.910    53.02          64.0725          69.8850   \n",
       "0      82.33   74.3483      74.420    65.12          72.5600          76.3950   \n",
       "\n",
       "       acc_std       algorithm                       anbieter  \\\n",
       "255  19.608285  gradient_boost                 DB Schenker AG   \n",
       "260  19.751998   random_forest                 DB Schenker AG   \n",
       "259  23.264835   decision_tree                 DB Schenker AG   \n",
       "258  21.704163  gradient_boost                 DB Schenker AG   \n",
       "257  19.772443   random_forest                 DB Schenker AG   \n",
       "256  20.749589   decision_tree                 DB Schenker AG   \n",
       "254  20.239974   random_forest                 DB Schenker AG   \n",
       "253  22.544233   decision_tree                 DB Schenker AG   \n",
       "252  18.134180  gradient_boost                 DB Schenker AG   \n",
       "264   9.301327  gradient_boost                    IT-Logix AG   \n",
       "263   8.411615   random_forest                    IT-Logix AG   \n",
       "262  16.066277   decision_tree                    IT-Logix AG   \n",
       "261   9.111733  gradient_boost                    IT-Logix AG   \n",
       "251  10.337421   random_forest  Aebi & Co. AG Maschinenfabrik   \n",
       "250  17.530206   decision_tree  Aebi & Co. AG Maschinenfabrik   \n",
       "249   9.741309  gradient_boost  Aebi & Co. AG Maschinenfabrik   \n",
       "248   9.160860   random_forest  Aebi & Co. AG Maschinenfabrik   \n",
       "247  17.814817   decision_tree  Aebi & Co. AG Maschinenfabrik   \n",
       "233  10.018931   random_forest  Aebi & Co. AG Maschinenfabrik   \n",
       "234   9.354791  gradient_boost  Aebi & Co. AG Maschinenfabrik   \n",
       "235  15.712941   decision_tree  Aebi & Co. AG Maschinenfabrik   \n",
       "236   8.856381   random_forest  Aebi & Co. AG Maschinenfabrik   \n",
       "237   9.328097  gradient_boost  Aebi & Co. AG Maschinenfabrik   \n",
       "238  18.361140   decision_tree  Aebi & Co. AG Maschinenfabrik   \n",
       "265  14.803864   decision_tree                    IT-Logix AG   \n",
       "239   9.106258   random_forest  Aebi & Co. AG Maschinenfabrik   \n",
       "241  15.924994   decision_tree  Aebi & Co. AG Maschinenfabrik   \n",
       "242   9.969029   random_forest  Aebi & Co. AG Maschinenfabrik   \n",
       "243  10.318106  gradient_boost  Aebi & Co. AG Maschinenfabrik   \n",
       "244  15.989633   decision_tree  Aebi & Co. AG Maschinenfabrik   \n",
       "..         ...             ...                            ...   \n",
       "72    2.416897  gradient_boost                     Siemens AG   \n",
       "71    2.234667   random_forest                     Siemens AG   \n",
       "70    4.228407   decision_tree                     Siemens AG   \n",
       "69    2.378644  gradient_boost                     Siemens AG   \n",
       "68    2.357562   random_forest                     Siemens AG   \n",
       "67    5.035696   decision_tree                     Siemens AG   \n",
       "66    2.299930  gradient_boost                     Siemens AG   \n",
       "73    4.621690   decision_tree                     Siemens AG   \n",
       "65    2.366820   random_forest                     Siemens AG   \n",
       "7     4.042535   decision_tree                       Alpiq AG   \n",
       "6     3.490451  gradient_boost                       Alpiq AG   \n",
       "5     3.346875   random_forest                       Alpiq AG   \n",
       "1     4.434386   decision_tree                       Alpiq AG   \n",
       "3     3.513515  gradient_boost                       Alpiq AG   \n",
       "2     3.536497   random_forest                       Alpiq AG   \n",
       "8     3.249521   random_forest                       Alpiq AG   \n",
       "4     3.965385   decision_tree                       Alpiq AG   \n",
       "9     3.506980  gradient_boost                       Alpiq AG   \n",
       "19    4.462865   decision_tree                       Alpiq AG   \n",
       "11    3.759541   random_forest                       Alpiq AG   \n",
       "12    2.995981  gradient_boost                       Alpiq AG   \n",
       "13    4.264562   decision_tree                       Alpiq AG   \n",
       "14    3.312415   random_forest                       Alpiq AG   \n",
       "15    3.350872  gradient_boost                       Alpiq AG   \n",
       "16    3.843057   decision_tree                       Alpiq AG   \n",
       "17    3.102702   random_forest                       Alpiq AG   \n",
       "18    3.321846  gradient_boost                       Alpiq AG   \n",
       "20    3.143838   random_forest                       Alpiq AG   \n",
       "10    4.631805   decision_tree                       Alpiq AG   \n",
       "0     3.371018  gradient_boost                       Alpiq AG   \n",
       "\n",
       "                                            attributes  ...     fn_std  \\\n",
       "255  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  32.850494   \n",
       "260  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  33.851912   \n",
       "259  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  33.014201   \n",
       "258  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  35.440801   \n",
       "257  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  33.595913   \n",
       "256  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  36.050155   \n",
       "254                  ausschreibung_cpv,auftragsart_art  ...  35.132670   \n",
       "253                  ausschreibung_cpv,auftragsart_art  ...  33.776227   \n",
       "252                  ausschreibung_cpv,auftragsart_art  ...  33.402016   \n",
       "264                  ausschreibung_cpv,auftragsart_art  ...  19.883963   \n",
       "263                                  ausschreibung_cpv  ...  19.692848   \n",
       "262                                  ausschreibung_cpv  ...  21.921234   \n",
       "261                                  ausschreibung_cpv  ...  21.720225   \n",
       "251  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  18.137632   \n",
       "250  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  24.512508   \n",
       "249  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  19.083828   \n",
       "248  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  16.864129   \n",
       "247  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  23.889177   \n",
       "233                                  ausschreibung_cpv  ...  19.232000   \n",
       "234                  ausschreibung_cpv,auftragsart_art  ...  17.398996   \n",
       "235                  ausschreibung_cpv,auftragsart_art  ...  18.150135   \n",
       "236                  ausschreibung_cpv,auftragsart_art  ...  12.266640   \n",
       "237  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  16.832421   \n",
       "238  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  28.116679   \n",
       "265                  ausschreibung_cpv,auftragsart_art  ...  21.248689   \n",
       "239  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  15.394330   \n",
       "241  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  24.396686   \n",
       "242  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  17.121471   \n",
       "243  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  17.802823   \n",
       "244  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  16.413952   \n",
       "..                                                 ...  ...        ...   \n",
       "72   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   4.692917   \n",
       "71   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   4.685832   \n",
       "70   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  14.357278   \n",
       "69   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   4.734047   \n",
       "68                   ausschreibung_cpv,auftragsart_art  ...   5.307876   \n",
       "67                   ausschreibung_cpv,auftragsart_art  ...  14.845302   \n",
       "66                   ausschreibung_cpv,auftragsart_art  ...   4.940132   \n",
       "73   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  13.745487   \n",
       "65                                   ausschreibung_cpv  ...   5.009495   \n",
       "7    ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  27.307817   \n",
       "6    ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   6.617152   \n",
       "5                    ausschreibung_cpv,auftragsart_art  ...   5.775495   \n",
       "1                                    ausschreibung_cpv  ...  25.090367   \n",
       "3                    ausschreibung_cpv,auftragsart_art  ...   6.774667   \n",
       "2                                    ausschreibung_cpv  ...   4.540986   \n",
       "8    ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   6.503123   \n",
       "4                    ausschreibung_cpv,auftragsart_art  ...  26.729365   \n",
       "9    ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   6.158049   \n",
       "19   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  23.775675   \n",
       "11   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   5.989974   \n",
       "12   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   5.824002   \n",
       "13   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  26.842117   \n",
       "14   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   5.322119   \n",
       "15   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   6.291612   \n",
       "16   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  24.166843   \n",
       "17   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   5.481652   \n",
       "18   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   5.933084   \n",
       "20   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   5.308341   \n",
       "10   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  28.003470   \n",
       "0                                    ausschreibung_cpv  ...   5.546030   \n",
       "\n",
       "            label   mcc_max  mcc_mean  mcc_median   mcc_min  mcc_quantile_25  \\\n",
       "255        Divers  1.000000  0.319301    0.408248 -0.666667         0.000000   \n",
       "260        Divers  1.000000  0.306633    0.408248 -0.666667         0.000000   \n",
       "259        Divers  1.000000  0.233476    0.166667 -1.000000         0.000000   \n",
       "258        Divers  1.000000  0.318973    0.408248 -0.666667         0.000000   \n",
       "257        Divers  1.000000  0.322550    0.408248 -0.666667         0.000000   \n",
       "256        Divers  1.000000  0.180480    0.166667 -0.666667         0.000000   \n",
       "254        Divers  1.000000  0.306801    0.408248 -0.612372         0.000000   \n",
       "253        Divers  1.000000  0.263598    0.329124 -1.000000         0.000000   \n",
       "252        Divers  1.000000  0.284591    0.250000 -0.612372         0.000000   \n",
       "264        Divers  1.000000  0.842802    1.000000  0.000000         0.755929   \n",
       "263        Divers  1.000000  0.848113    1.000000  0.000000         0.755929   \n",
       "262        Divers  1.000000  0.729251    0.790569 -0.500000         0.632456   \n",
       "261        Divers  1.000000  0.835206    0.900000  0.000000         0.755929   \n",
       "251         Other  1.000000  0.835534    1.000000  0.316228         0.632456   \n",
       "250         Other  1.000000  0.678391    0.708683 -0.100000         0.500000   \n",
       "249         Other  1.000000  0.854168    1.000000  0.316228         0.781909   \n",
       "248         Other  1.000000  0.861663    1.000000  0.316228         0.790569   \n",
       "247         Other  1.000000  0.675826    0.790569 -0.395285         0.500000   \n",
       "233         Other  1.000000  0.876880    1.000000  0.000000         0.790569   \n",
       "234         Other  1.000000  0.870372    1.000000  0.316228         0.790569   \n",
       "235         Other  1.000000  0.770999    0.790569 -0.188982         0.623745   \n",
       "236         Other  1.000000  0.885473    1.000000  0.316228         0.790569   \n",
       "237         Other  1.000000  0.870867    1.000000  0.316228         0.790569   \n",
       "238         Other  1.000000  0.690177    0.790569 -0.250000         0.500000   \n",
       "265        Divers  1.000000  0.735978    0.790569  0.000000         0.597614   \n",
       "239         Other  1.000000  0.876145    1.000000  0.316228         0.781909   \n",
       "241         Other  1.000000  0.727627    0.790569 -0.188982         0.500000   \n",
       "242         Other  1.000000  0.845372    1.000000  0.316228         0.755929   \n",
       "243         Other  1.000000  0.849476    1.000000  0.316228         0.755929   \n",
       "244         Other  1.000000  0.733891    0.790569  0.000000         0.585711   \n",
       "..            ...       ...       ...         ...       ...              ...   \n",
       "72   Construction  0.779111  0.669532    0.670837  0.546849         0.639322   \n",
       "71   Construction  0.766848  0.675834    0.677766  0.524101         0.648788   \n",
       "70   Construction  0.682391  0.454718    0.467145  0.226268         0.402986   \n",
       "69   Construction  0.779375  0.672734    0.674502  0.525226         0.644032   \n",
       "68   Construction  0.766131  0.670543    0.672577  0.520434         0.644652   \n",
       "67   Construction  0.704203  0.474858    0.477170  0.255959         0.409786   \n",
       "66   Construction  0.771789  0.673890    0.677201  0.547110         0.636984   \n",
       "73   Construction  0.638646  0.463698    0.468591  0.191198         0.415698   \n",
       "65   Construction  0.756881  0.664001    0.670532  0.527097         0.630115   \n",
       "7    Construction  0.538351  0.362443    0.385069  0.066013         0.286283   \n",
       "6    Construction  0.689613  0.521835    0.517742  0.348983         0.473770   \n",
       "5    Construction  0.660167  0.526917    0.533748  0.338435         0.489668   \n",
       "1    Construction  0.612929  0.335425    0.335176  0.062334         0.266525   \n",
       "3    Construction  0.683088  0.514520    0.523304  0.307292         0.478383   \n",
       "2    Construction  0.660877  0.515587    0.515624  0.311979         0.481469   \n",
       "8    Construction  0.659528  0.512730    0.507971  0.358044         0.468734   \n",
       "4    Construction  0.602937  0.362977    0.380542  0.086934         0.282243   \n",
       "9    Construction  0.657659  0.519278    0.519111  0.305888         0.469989   \n",
       "19   Construction  0.540637  0.341856    0.357045  0.080979         0.260802   \n",
       "11   Construction  0.668104  0.514839    0.515976  0.346790         0.458366   \n",
       "12   Construction  0.656699  0.532133    0.534763  0.390978         0.491978   \n",
       "13   Construction  0.556428  0.362381    0.387156 -0.061651         0.285515   \n",
       "14   Construction  0.696155  0.533729    0.532668  0.388485         0.490622   \n",
       "15   Construction  0.726627  0.532563    0.528786  0.366127         0.481483   \n",
       "16   Construction  0.593504  0.342605    0.344786 -0.032941         0.285534   \n",
       "17   Construction  0.705768  0.537958    0.537778  0.398410         0.488341   \n",
       "18   Construction  0.670698  0.534486    0.543233  0.342017         0.499607   \n",
       "20   Construction  0.690553  0.532527    0.527899  0.389257         0.486689   \n",
       "10   Construction  0.568137  0.330126    0.333335  0.061774         0.237931   \n",
       "0    Construction  0.652979  0.508117    0.511478  0.319422         0.466642   \n",
       "\n",
       "    mcc_quantile_75    mcc_std  sample_size_mean  \n",
       "255        0.612372  38.607158               5.0  \n",
       "260        0.612372  36.237739               5.0  \n",
       "259        0.612372  44.159755               5.0  \n",
       "258        0.612372  40.556694               5.0  \n",
       "257        0.612372  36.332306               5.0  \n",
       "256        0.408248  41.081330               5.0  \n",
       "254        0.612372  39.908822               5.0  \n",
       "253        0.612372  43.563154               5.0  \n",
       "252        0.612372  37.471569               5.0  \n",
       "264        1.000000  20.682406               9.0  \n",
       "263        1.000000  19.746706               9.0  \n",
       "262        1.000000  29.298294               9.0  \n",
       "261        1.000000  20.752025               9.0  \n",
       "251        1.000000  19.938422               9.0  \n",
       "250        1.000000  29.074099               9.0  \n",
       "249        1.000000  19.059589               9.0  \n",
       "248        1.000000  18.288052               9.0  \n",
       "247        1.000000  33.304084               9.0  \n",
       "233        1.000000  19.909895               9.0  \n",
       "234        1.000000  18.467846               9.0  \n",
       "235        1.000000  24.734276               9.0  \n",
       "236        1.000000  16.999144               9.0  \n",
       "237        1.000000  17.928312               9.0  \n",
       "238        1.000000  30.473193               9.0  \n",
       "265        1.000000  24.942342               9.0  \n",
       "239        1.000000  17.747267               9.0  \n",
       "241        1.000000  28.258667               9.0  \n",
       "242        1.000000  18.804200               9.0  \n",
       "243        1.000000  20.046268               9.0  \n",
       "244        1.000000  27.490534               9.0  \n",
       "..              ...        ...               ...  \n",
       "72         0.707983   5.106307             195.0  \n",
       "71         0.709929   4.758929             195.0  \n",
       "70         0.509701   8.623935             195.0  \n",
       "69         0.703927   4.983523             195.0  \n",
       "68         0.702567   4.976704             195.0  \n",
       "67         0.550149  10.049667             195.0  \n",
       "66         0.712267   4.813148             195.0  \n",
       "73         0.515017   8.702874             195.0  \n",
       "65         0.700081   4.917494             195.0  \n",
       "7          0.447883  11.323279             215.0  \n",
       "6          0.572346   7.000562             215.0  \n",
       "5          0.567399   6.553449             215.0  \n",
       "1          0.420601  11.364098             215.0  \n",
       "3          0.560425   6.878283             215.0  \n",
       "2          0.557268   6.642733             215.0  \n",
       "8          0.558203   6.583078             215.0  \n",
       "4          0.447677  10.687530             215.0  \n",
       "9          0.572413   7.108965             215.0  \n",
       "19         0.423423  10.869665             215.0  \n",
       "11         0.566262   7.580573             215.0  \n",
       "12         0.576135   6.097239             215.0  \n",
       "13         0.446226  11.847074             215.0  \n",
       "14         0.582220   6.678181             215.0  \n",
       "15         0.574890   6.920654             215.0  \n",
       "16         0.413708  10.798120             215.0  \n",
       "17         0.581706   6.307467             215.0  \n",
       "18         0.573332   6.789165             215.0  \n",
       "20         0.584006   6.321712             215.0  \n",
       "10         0.419644  12.348916             215.0  \n",
       "0          0.548575   6.497478             215.0  \n",
       "\n",
       "[303 rows x 26 columns]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sort_values('sample_size_mean')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# change sample_size_mean\n",
    "\n",
    "`sample_size_mean` is the number of test samples.\n",
    "The number of train samples is 3 times as much"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['sample_size_mean'] = df['sample_size_mean'].apply(lambda x: x*3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# sample_size_mean to number of positives in DB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Standard Deviation')"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tmpdf = df[df['sample_size_mean']<100].groupby('sample_size_mean').mean()\n",
    "ax = tmpdf.plot(y=['acc_std','mcc_std','fn_std'], figsize=(12,8), fontsize=14)\n",
    "ax.set_xlabel(\"Training Samples\", fontsize=16)\n",
    "ax.set_ylabel(\"Standard Deviation\", fontsize=16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>acc_max</th>\n",
       "      <th>acc_mean</th>\n",
       "      <th>acc_median</th>\n",
       "      <th>acc_min</th>\n",
       "      <th>acc_quantile_25</th>\n",
       "      <th>acc_quantile_75</th>\n",
       "      <th>acc_std</th>\n",
       "      <th>fn_rate_max</th>\n",
       "      <th>fn_rate_mean</th>\n",
       "      <th>fn_rate_median</th>\n",
       "      <th>...</th>\n",
       "      <th>fn_rate_quantile_25</th>\n",
       "      <th>fn_rate_quantile_75</th>\n",
       "      <th>fn_std</th>\n",
       "      <th>mcc_max</th>\n",
       "      <th>mcc_mean</th>\n",
       "      <th>mcc_median</th>\n",
       "      <th>mcc_min</th>\n",
       "      <th>mcc_quantile_25</th>\n",
       "      <th>mcc_quantile_75</th>\n",
       "      <th>mcc_std</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sample_size_mean</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15.0</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>62.233333</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>13.333333</td>\n",
       "      <td>53.333333</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>20.114895</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>50.506649</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>17.360000</td>\n",
       "      <td>70.488333</td>\n",
       "      <td>34.626226</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.274671</td>\n",
       "      <td>0.274972</td>\n",
       "      <td>-0.695075</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.612372</td>\n",
       "      <td>39.402074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27.0</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>91.201871</td>\n",
       "      <td>96.561190</td>\n",
       "      <td>57.143810</td>\n",
       "      <td>85.186667</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>10.823303</td>\n",
       "      <td>98.412857</td>\n",
       "      <td>7.111848</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.952381</td>\n",
       "      <td>19.793025</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.825105</td>\n",
       "      <td>0.934576</td>\n",
       "      <td>-0.114416</td>\n",
       "      <td>0.718742</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>22.961249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30.0</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>80.315873</td>\n",
       "      <td>80.714286</td>\n",
       "      <td>40.634921</td>\n",
       "      <td>71.230159</td>\n",
       "      <td>90.476190</td>\n",
       "      <td>13.429960</td>\n",
       "      <td>90.710159</td>\n",
       "      <td>22.632663</td>\n",
       "      <td>14.870952</td>\n",
       "      <td>...</td>\n",
       "      <td>1.810357</td>\n",
       "      <td>37.395714</td>\n",
       "      <td>23.765210</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.619005</td>\n",
       "      <td>0.637408</td>\n",
       "      <td>-0.197578</td>\n",
       "      <td>0.460725</td>\n",
       "      <td>0.817322</td>\n",
       "      <td>26.272366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42.0</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>88.666395</td>\n",
       "      <td>91.496667</td>\n",
       "      <td>56.804286</td>\n",
       "      <td>80.950000</td>\n",
       "      <td>97.620000</td>\n",
       "      <td>10.218819</td>\n",
       "      <td>73.174286</td>\n",
       "      <td>11.243810</td>\n",
       "      <td>3.614524</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>16.859881</td>\n",
       "      <td>17.286368</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.781715</td>\n",
       "      <td>0.833846</td>\n",
       "      <td>0.150634</td>\n",
       "      <td>0.648571</td>\n",
       "      <td>0.953104</td>\n",
       "      <td>19.429604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96.0</th>\n",
       "      <td>98.066190</td>\n",
       "      <td>84.257290</td>\n",
       "      <td>84.522381</td>\n",
       "      <td>65.180000</td>\n",
       "      <td>80.025238</td>\n",
       "      <td>88.205119</td>\n",
       "      <td>6.611496</td>\n",
       "      <td>59.407143</td>\n",
       "      <td>27.802905</td>\n",
       "      <td>27.145476</td>\n",
       "      <td>...</td>\n",
       "      <td>19.120714</td>\n",
       "      <td>36.649762</td>\n",
       "      <td>13.029867</td>\n",
       "      <td>0.960460</td>\n",
       "      <td>0.678358</td>\n",
       "      <td>0.685005</td>\n",
       "      <td>0.286552</td>\n",
       "      <td>0.598385</td>\n",
       "      <td>0.761576</td>\n",
       "      <td>13.113618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108.0</th>\n",
       "      <td>93.120476</td>\n",
       "      <td>74.886329</td>\n",
       "      <td>75.331667</td>\n",
       "      <td>53.041429</td>\n",
       "      <td>69.344048</td>\n",
       "      <td>80.852024</td>\n",
       "      <td>8.273849</td>\n",
       "      <td>78.755714</td>\n",
       "      <td>27.420019</td>\n",
       "      <td>25.491667</td>\n",
       "      <td>...</td>\n",
       "      <td>12.565476</td>\n",
       "      <td>39.513690</td>\n",
       "      <td>18.786107</td>\n",
       "      <td>0.865685</td>\n",
       "      <td>0.504061</td>\n",
       "      <td>0.509708</td>\n",
       "      <td>0.038844</td>\n",
       "      <td>0.400235</td>\n",
       "      <td>0.623734</td>\n",
       "      <td>16.615888</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     acc_max   acc_mean  acc_median    acc_min  \\\n",
       "sample_size_mean                                                 \n",
       "15.0              100.000000  62.233333   60.000000  13.333333   \n",
       "27.0              100.000000  91.201871   96.561190  57.143810   \n",
       "30.0              100.000000  80.315873   80.714286  40.634921   \n",
       "42.0              100.000000  88.666395   91.496667  56.804286   \n",
       "96.0               98.066190  84.257290   84.522381  65.180000   \n",
       "108.0              93.120476  74.886329   75.331667  53.041429   \n",
       "\n",
       "                  acc_quantile_25  acc_quantile_75    acc_std  fn_rate_max  \\\n",
       "sample_size_mean                                                             \n",
       "15.0                    53.333333        80.000000  20.114895   100.000000   \n",
       "27.0                    85.186667       100.000000  10.823303    98.412857   \n",
       "30.0                    71.230159        90.476190  13.429960    90.710159   \n",
       "42.0                    80.950000        97.620000  10.218819    73.174286   \n",
       "96.0                    80.025238        88.205119   6.611496    59.407143   \n",
       "108.0                   69.344048        80.852024   8.273849    78.755714   \n",
       "\n",
       "                  fn_rate_mean  fn_rate_median  ...  fn_rate_quantile_25  \\\n",
       "sample_size_mean                                ...                        \n",
       "15.0                 50.506649       50.000000  ...            17.360000   \n",
       "27.0                  7.111848        0.000000  ...             0.000000   \n",
       "30.0                 22.632663       14.870952  ...             1.810357   \n",
       "42.0                 11.243810        3.614524  ...             0.000000   \n",
       "96.0                 27.802905       27.145476  ...            19.120714   \n",
       "108.0                27.420019       25.491667  ...            12.565476   \n",
       "\n",
       "                  fn_rate_quantile_75     fn_std   mcc_max  mcc_mean  \\\n",
       "sample_size_mean                                                       \n",
       "15.0                        70.488333  34.626226  1.000000  0.274671   \n",
       "27.0                         0.952381  19.793025  1.000000  0.825105   \n",
       "30.0                        37.395714  23.765210  1.000000  0.619005   \n",
       "42.0                        16.859881  17.286368  1.000000  0.781715   \n",
       "96.0                        36.649762  13.029867  0.960460  0.678358   \n",
       "108.0                       39.513690  18.786107  0.865685  0.504061   \n",
       "\n",
       "                  mcc_median   mcc_min  mcc_quantile_25  mcc_quantile_75  \\\n",
       "sample_size_mean                                                           \n",
       "15.0                0.274972 -0.695075         0.000000         0.612372   \n",
       "27.0                0.934576 -0.114416         0.718742         1.000000   \n",
       "30.0                0.637408 -0.197578         0.460725         0.817322   \n",
       "42.0                0.833846  0.150634         0.648571         0.953104   \n",
       "96.0                0.685005  0.286552         0.598385         0.761576   \n",
       "108.0               0.509708  0.038844         0.400235         0.623734   \n",
       "\n",
       "                    mcc_std  \n",
       "sample_size_mean             \n",
       "15.0              39.402074  \n",
       "27.0              22.961249  \n",
       "30.0              26.272366  \n",
       "42.0              19.429604  \n",
       "96.0              13.113618  \n",
       "108.0             16.615888  \n",
       "\n",
       "[6 rows x 21 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tmpdf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Entries with less than threshold value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>acc_max</th>\n",
       "      <th>acc_mean</th>\n",
       "      <th>acc_median</th>\n",
       "      <th>acc_min</th>\n",
       "      <th>acc_quantile_25</th>\n",
       "      <th>acc_quantile_75</th>\n",
       "      <th>acc_std</th>\n",
       "      <th>algorithm</th>\n",
       "      <th>anbieter</th>\n",
       "      <th>attributes</th>\n",
       "      <th>...</th>\n",
       "      <th>fn_std</th>\n",
       "      <th>label</th>\n",
       "      <th>mcc_max</th>\n",
       "      <th>mcc_mean</th>\n",
       "      <th>mcc_median</th>\n",
       "      <th>mcc_min</th>\n",
       "      <th>mcc_quantile_25</th>\n",
       "      <th>mcc_quantile_75</th>\n",
       "      <th>mcc_std</th>\n",
       "      <th>sample_size_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>82.33</td>\n",
       "      <td>74.2779</td>\n",
       "      <td>73.950</td>\n",
       "      <td>64.65</td>\n",
       "      <td>72.5600</td>\n",
       "      <td>76.2800</td>\n",
       "      <td>3.480734</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>5.586841</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.658069</td>\n",
       "      <td>0.506228</td>\n",
       "      <td>0.508195</td>\n",
       "      <td>0.303895</td>\n",
       "      <td>0.463482</td>\n",
       "      <td>0.546531</td>\n",
       "      <td>6.699499</td>\n",
       "      <td>645.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>82.33</td>\n",
       "      <td>71.6273</td>\n",
       "      <td>71.625</td>\n",
       "      <td>60.47</td>\n",
       "      <td>69.3000</td>\n",
       "      <td>74.8800</td>\n",
       "      <td>3.926097</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>16.026253</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.640612</td>\n",
       "      <td>0.443818</td>\n",
       "      <td>0.454951</td>\n",
       "      <td>0.124458</td>\n",
       "      <td>0.390345</td>\n",
       "      <td>0.507711</td>\n",
       "      <td>9.401778</td>\n",
       "      <td>645.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>81.86</td>\n",
       "      <td>74.7760</td>\n",
       "      <td>74.880</td>\n",
       "      <td>65.58</td>\n",
       "      <td>72.5600</td>\n",
       "      <td>77.2100</td>\n",
       "      <td>3.447707</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>4.392513</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.655136</td>\n",
       "      <td>0.518818</td>\n",
       "      <td>0.520557</td>\n",
       "      <td>0.331002</td>\n",
       "      <td>0.478874</td>\n",
       "      <td>0.560829</td>\n",
       "      <td>6.470883</td>\n",
       "      <td>645.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>82.33</td>\n",
       "      <td>74.7110</td>\n",
       "      <td>74.880</td>\n",
       "      <td>64.19</td>\n",
       "      <td>73.0200</td>\n",
       "      <td>77.2100</td>\n",
       "      <td>3.509476</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>7.010945</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.660877</td>\n",
       "      <td>0.514851</td>\n",
       "      <td>0.519559</td>\n",
       "      <td>0.265991</td>\n",
       "      <td>0.480353</td>\n",
       "      <td>0.558065</td>\n",
       "      <td>6.931142</td>\n",
       "      <td>645.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>81.86</td>\n",
       "      <td>71.3442</td>\n",
       "      <td>71.395</td>\n",
       "      <td>61.86</td>\n",
       "      <td>68.3700</td>\n",
       "      <td>74.4200</td>\n",
       "      <td>3.961428</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>16.033323</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.670667</td>\n",
       "      <td>0.441793</td>\n",
       "      <td>0.458945</td>\n",
       "      <td>0.187844</td>\n",
       "      <td>0.385821</td>\n",
       "      <td>0.506994</td>\n",
       "      <td>9.391060</td>\n",
       "      <td>645.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>82.33</td>\n",
       "      <td>75.1713</td>\n",
       "      <td>75.350</td>\n",
       "      <td>65.58</td>\n",
       "      <td>73.0200</td>\n",
       "      <td>77.6700</td>\n",
       "      <td>3.399554</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>5.841516</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.663927</td>\n",
       "      <td>0.524639</td>\n",
       "      <td>0.529306</td>\n",
       "      <td>0.330070</td>\n",
       "      <td>0.483614</td>\n",
       "      <td>0.563315</td>\n",
       "      <td>6.668698</td>\n",
       "      <td>645.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>83.26</td>\n",
       "      <td>75.9993</td>\n",
       "      <td>75.810</td>\n",
       "      <td>69.30</td>\n",
       "      <td>73.9500</td>\n",
       "      <td>78.6000</td>\n",
       "      <td>3.183916</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>5.803723</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.647396</td>\n",
       "      <td>0.505414</td>\n",
       "      <td>0.496785</td>\n",
       "      <td>0.347711</td>\n",
       "      <td>0.463976</td>\n",
       "      <td>0.550297</td>\n",
       "      <td>6.379307</td>\n",
       "      <td>645.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>77.67</td>\n",
       "      <td>70.3953</td>\n",
       "      <td>70.230</td>\n",
       "      <td>62.33</td>\n",
       "      <td>67.9100</td>\n",
       "      <td>72.6750</td>\n",
       "      <td>3.434931</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>15.105617</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.567618</td>\n",
       "      <td>0.396498</td>\n",
       "      <td>0.395717</td>\n",
       "      <td>0.159577</td>\n",
       "      <td>0.350084</td>\n",
       "      <td>0.464150</td>\n",
       "      <td>8.227078</td>\n",
       "      <td>645.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>83.26</td>\n",
       "      <td>75.9855</td>\n",
       "      <td>75.350</td>\n",
       "      <td>69.77</td>\n",
       "      <td>73.8350</td>\n",
       "      <td>78.6000</td>\n",
       "      <td>3.176692</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>5.947363</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.656411</td>\n",
       "      <td>0.504973</td>\n",
       "      <td>0.497228</td>\n",
       "      <td>0.361580</td>\n",
       "      <td>0.456186</td>\n",
       "      <td>0.555678</td>\n",
       "      <td>6.438380</td>\n",
       "      <td>645.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>83.72</td>\n",
       "      <td>75.9064</td>\n",
       "      <td>75.580</td>\n",
       "      <td>68.84</td>\n",
       "      <td>73.9500</td>\n",
       "      <td>78.1400</td>\n",
       "      <td>3.277685</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>5.896083</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.661432</td>\n",
       "      <td>0.504445</td>\n",
       "      <td>0.498704</td>\n",
       "      <td>0.342658</td>\n",
       "      <td>0.464322</td>\n",
       "      <td>0.548640</td>\n",
       "      <td>6.612873</td>\n",
       "      <td>645.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>79.53</td>\n",
       "      <td>71.6459</td>\n",
       "      <td>72.090</td>\n",
       "      <td>62.79</td>\n",
       "      <td>69.3000</td>\n",
       "      <td>73.9500</td>\n",
       "      <td>3.408043</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>13.225740</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.603390</td>\n",
       "      <td>0.427692</td>\n",
       "      <td>0.423483</td>\n",
       "      <td>0.230621</td>\n",
       "      <td>0.374620</td>\n",
       "      <td>0.480064</td>\n",
       "      <td>7.205215</td>\n",
       "      <td>645.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>83.72</td>\n",
       "      <td>76.2737</td>\n",
       "      <td>76.280</td>\n",
       "      <td>69.30</td>\n",
       "      <td>74.4200</td>\n",
       "      <td>78.7175</td>\n",
       "      <td>3.140934</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>5.953203</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.657693</td>\n",
       "      <td>0.512117</td>\n",
       "      <td>0.507463</td>\n",
       "      <td>0.370721</td>\n",
       "      <td>0.475832</td>\n",
       "      <td>0.558319</td>\n",
       "      <td>6.312646</td>\n",
       "      <td>645.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>82.79</td>\n",
       "      <td>76.0365</td>\n",
       "      <td>75.810</td>\n",
       "      <td>67.91</td>\n",
       "      <td>73.9500</td>\n",
       "      <td>78.7175</td>\n",
       "      <td>3.382139</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>6.005999</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.638052</td>\n",
       "      <td>0.505794</td>\n",
       "      <td>0.502282</td>\n",
       "      <td>0.344836</td>\n",
       "      <td>0.465013</td>\n",
       "      <td>0.555438</td>\n",
       "      <td>6.755063</td>\n",
       "      <td>645.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>78.60</td>\n",
       "      <td>71.0697</td>\n",
       "      <td>70.930</td>\n",
       "      <td>62.79</td>\n",
       "      <td>68.8400</td>\n",
       "      <td>73.4900</td>\n",
       "      <td>3.379825</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>14.307222</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.576938</td>\n",
       "      <td>0.413527</td>\n",
       "      <td>0.420543</td>\n",
       "      <td>0.198524</td>\n",
       "      <td>0.373572</td>\n",
       "      <td>0.466400</td>\n",
       "      <td>7.451355</td>\n",
       "      <td>645.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>83.72</td>\n",
       "      <td>76.3104</td>\n",
       "      <td>76.510</td>\n",
       "      <td>68.37</td>\n",
       "      <td>73.9500</td>\n",
       "      <td>78.6000</td>\n",
       "      <td>3.221898</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>5.107585</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.658839</td>\n",
       "      <td>0.511694</td>\n",
       "      <td>0.512960</td>\n",
       "      <td>0.356203</td>\n",
       "      <td>0.469119</td>\n",
       "      <td>0.554737</td>\n",
       "      <td>6.366536</td>\n",
       "      <td>645.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>84.19</td>\n",
       "      <td>77.1385</td>\n",
       "      <td>76.975</td>\n",
       "      <td>70.23</td>\n",
       "      <td>74.7650</td>\n",
       "      <td>79.1850</td>\n",
       "      <td>3.205946</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>5.449513</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.659810</td>\n",
       "      <td>0.524024</td>\n",
       "      <td>0.516520</td>\n",
       "      <td>0.382870</td>\n",
       "      <td>0.480335</td>\n",
       "      <td>0.558451</td>\n",
       "      <td>6.457785</td>\n",
       "      <td>645.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>79.07</td>\n",
       "      <td>71.2412</td>\n",
       "      <td>71.160</td>\n",
       "      <td>65.12</td>\n",
       "      <td>68.7225</td>\n",
       "      <td>73.0200</td>\n",
       "      <td>3.342872</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>14.061458</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.580627</td>\n",
       "      <td>0.407129</td>\n",
       "      <td>0.405808</td>\n",
       "      <td>0.255377</td>\n",
       "      <td>0.351858</td>\n",
       "      <td>0.464592</td>\n",
       "      <td>7.553561</td>\n",
       "      <td>645.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>85.58</td>\n",
       "      <td>77.5805</td>\n",
       "      <td>77.670</td>\n",
       "      <td>69.77</td>\n",
       "      <td>75.3500</td>\n",
       "      <td>79.6475</td>\n",
       "      <td>3.140218</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>5.347225</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.696541</td>\n",
       "      <td>0.533418</td>\n",
       "      <td>0.537179</td>\n",
       "      <td>0.391294</td>\n",
       "      <td>0.492043</td>\n",
       "      <td>0.573277</td>\n",
       "      <td>6.413295</td>\n",
       "      <td>645.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>83.72</td>\n",
       "      <td>77.0739</td>\n",
       "      <td>77.210</td>\n",
       "      <td>69.30</td>\n",
       "      <td>74.7650</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>3.243435</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>5.825702</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.660536</td>\n",
       "      <td>0.522262</td>\n",
       "      <td>0.519397</td>\n",
       "      <td>0.351375</td>\n",
       "      <td>0.472577</td>\n",
       "      <td>0.573564</td>\n",
       "      <td>6.673375</td>\n",
       "      <td>645.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>80.93</td>\n",
       "      <td>72.0603</td>\n",
       "      <td>71.860</td>\n",
       "      <td>63.26</td>\n",
       "      <td>70.1150</td>\n",
       "      <td>74.0675</td>\n",
       "      <td>3.467490</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>13.940747</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.599713</td>\n",
       "      <td>0.424494</td>\n",
       "      <td>0.424438</td>\n",
       "      <td>0.240765</td>\n",
       "      <td>0.379801</td>\n",
       "      <td>0.468612</td>\n",
       "      <td>7.560008</td>\n",
       "      <td>645.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>84.65</td>\n",
       "      <td>77.6551</td>\n",
       "      <td>77.670</td>\n",
       "      <td>71.16</td>\n",
       "      <td>75.2325</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>3.087351</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>4.812078</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.676960</td>\n",
       "      <td>0.534949</td>\n",
       "      <td>0.540212</td>\n",
       "      <td>0.382870</td>\n",
       "      <td>0.490243</td>\n",
       "      <td>0.579308</td>\n",
       "      <td>6.243144</td>\n",
       "      <td>645.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>83.72</td>\n",
       "      <td>77.0412</td>\n",
       "      <td>77.210</td>\n",
       "      <td>67.91</td>\n",
       "      <td>74.7650</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>3.371884</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>5.627925</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.658839</td>\n",
       "      <td>0.521989</td>\n",
       "      <td>0.524946</td>\n",
       "      <td>0.327625</td>\n",
       "      <td>0.475670</td>\n",
       "      <td>0.571350</td>\n",
       "      <td>6.897487</td>\n",
       "      <td>645.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>78.14</td>\n",
       "      <td>71.4184</td>\n",
       "      <td>71.630</td>\n",
       "      <td>62.33</td>\n",
       "      <td>68.8400</td>\n",
       "      <td>73.9500</td>\n",
       "      <td>3.680777</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>13.608727</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.559281</td>\n",
       "      <td>0.410995</td>\n",
       "      <td>0.419339</td>\n",
       "      <td>0.189743</td>\n",
       "      <td>0.346532</td>\n",
       "      <td>0.468854</td>\n",
       "      <td>8.161234</td>\n",
       "      <td>645.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>83.72</td>\n",
       "      <td>77.5856</td>\n",
       "      <td>77.670</td>\n",
       "      <td>70.23</td>\n",
       "      <td>75.2325</td>\n",
       "      <td>80.4700</td>\n",
       "      <td>3.294995</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Alpiq AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>5.482462</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.655759</td>\n",
       "      <td>0.534294</td>\n",
       "      <td>0.541119</td>\n",
       "      <td>0.376825</td>\n",
       "      <td>0.488141</td>\n",
       "      <td>0.582689</td>\n",
       "      <td>6.675931</td>\n",
       "      <td>645.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>88.79</td>\n",
       "      <td>80.4389</td>\n",
       "      <td>80.370</td>\n",
       "      <td>69.16</td>\n",
       "      <td>77.5700</td>\n",
       "      <td>83.1800</td>\n",
       "      <td>3.894377</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>KIBAG</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>4.946033</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.777241</td>\n",
       "      <td>0.622750</td>\n",
       "      <td>0.617622</td>\n",
       "      <td>0.435512</td>\n",
       "      <td>0.575532</td>\n",
       "      <td>0.667935</td>\n",
       "      <td>7.229370</td>\n",
       "      <td>321.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>87.85</td>\n",
       "      <td>76.6354</td>\n",
       "      <td>76.640</td>\n",
       "      <td>65.42</td>\n",
       "      <td>73.8300</td>\n",
       "      <td>80.6050</td>\n",
       "      <td>4.846312</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>KIBAG</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>17.193549</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.760772</td>\n",
       "      <td>0.532981</td>\n",
       "      <td>0.533657</td>\n",
       "      <td>0.283733</td>\n",
       "      <td>0.467443</td>\n",
       "      <td>0.619795</td>\n",
       "      <td>10.789334</td>\n",
       "      <td>321.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>88.79</td>\n",
       "      <td>80.0934</td>\n",
       "      <td>80.370</td>\n",
       "      <td>68.22</td>\n",
       "      <td>77.3375</td>\n",
       "      <td>83.1800</td>\n",
       "      <td>3.970808</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>KIBAG</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>5.212578</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.780833</td>\n",
       "      <td>0.620260</td>\n",
       "      <td>0.618036</td>\n",
       "      <td>0.433492</td>\n",
       "      <td>0.566446</td>\n",
       "      <td>0.670838</td>\n",
       "      <td>7.275854</td>\n",
       "      <td>321.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>88.79</td>\n",
       "      <td>80.8876</td>\n",
       "      <td>80.370</td>\n",
       "      <td>70.09</td>\n",
       "      <td>78.5000</td>\n",
       "      <td>83.1800</td>\n",
       "      <td>3.644026</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>KIBAG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>5.220097</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.781133</td>\n",
       "      <td>0.629430</td>\n",
       "      <td>0.626384</td>\n",
       "      <td>0.448820</td>\n",
       "      <td>0.587184</td>\n",
       "      <td>0.669338</td>\n",
       "      <td>6.833504</td>\n",
       "      <td>321.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>86.92</td>\n",
       "      <td>77.4678</td>\n",
       "      <td>77.570</td>\n",
       "      <td>66.36</td>\n",
       "      <td>74.7700</td>\n",
       "      <td>80.6050</td>\n",
       "      <td>4.348991</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>KIBAG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>12.427293</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.759972</td>\n",
       "      <td>0.558947</td>\n",
       "      <td>0.555355</td>\n",
       "      <td>0.300362</td>\n",
       "      <td>0.515714</td>\n",
       "      <td>0.617265</td>\n",
       "      <td>8.544059</td>\n",
       "      <td>321.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>88.79</td>\n",
       "      <td>80.4201</td>\n",
       "      <td>80.370</td>\n",
       "      <td>68.22</td>\n",
       "      <td>77.5700</td>\n",
       "      <td>83.1800</td>\n",
       "      <td>3.853442</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>KIBAG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>5.295440</td>\n",
       "      <td>Construction</td>\n",
       "      <td>0.790503</td>\n",
       "      <td>0.624765</td>\n",
       "      <td>0.617358</td>\n",
       "      <td>0.435579</td>\n",
       "      <td>0.574381</td>\n",
       "      <td>0.677576</td>\n",
       "      <td>7.131773</td>\n",
       "      <td>321.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>100.00</td>\n",
       "      <td>98.2447</td>\n",
       "      <td>98.460</td>\n",
       "      <td>92.31</td>\n",
       "      <td>96.9200</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>1.680603</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>AXA Versicherung AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>3.351119</td>\n",
       "      <td>Other</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.963863</td>\n",
       "      <td>0.968644</td>\n",
       "      <td>0.834794</td>\n",
       "      <td>0.939022</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.475918</td>\n",
       "      <td>195.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>100.00</td>\n",
       "      <td>93.3073</td>\n",
       "      <td>93.850</td>\n",
       "      <td>73.85</td>\n",
       "      <td>90.7700</td>\n",
       "      <td>96.9200</td>\n",
       "      <td>5.405942</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>AXA Versicherung AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>7.588411</td>\n",
       "      <td>Other</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.867589</td>\n",
       "      <td>0.877931</td>\n",
       "      <td>0.518711</td>\n",
       "      <td>0.827515</td>\n",
       "      <td>0.938330</td>\n",
       "      <td>10.126129</td>\n",
       "      <td>195.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>100.00</td>\n",
       "      <td>98.2448</td>\n",
       "      <td>98.460</td>\n",
       "      <td>92.31</td>\n",
       "      <td>96.9200</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>1.666021</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>AXA Versicherung AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>3.228006</td>\n",
       "      <td>Other</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.963953</td>\n",
       "      <td>0.968445</td>\n",
       "      <td>0.834794</td>\n",
       "      <td>0.939022</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.437653</td>\n",
       "      <td>195.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>100.00</td>\n",
       "      <td>98.2755</td>\n",
       "      <td>98.460</td>\n",
       "      <td>92.31</td>\n",
       "      <td>96.9200</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>1.698462</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>AXA Versicherung AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>3.350370</td>\n",
       "      <td>Other</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.964480</td>\n",
       "      <td>0.968809</td>\n",
       "      <td>0.834794</td>\n",
       "      <td>0.939022</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.513853</td>\n",
       "      <td>195.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>100.00</td>\n",
       "      <td>93.1070</td>\n",
       "      <td>93.850</td>\n",
       "      <td>80.00</td>\n",
       "      <td>89.2300</td>\n",
       "      <td>96.9200</td>\n",
       "      <td>5.082531</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>AXA Versicherung AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>8.710372</td>\n",
       "      <td>Other</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.863548</td>\n",
       "      <td>0.883928</td>\n",
       "      <td>0.605436</td>\n",
       "      <td>0.801804</td>\n",
       "      <td>0.937916</td>\n",
       "      <td>9.847998</td>\n",
       "      <td>195.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>100.00</td>\n",
       "      <td>98.2755</td>\n",
       "      <td>98.460</td>\n",
       "      <td>92.31</td>\n",
       "      <td>96.9200</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>1.670016</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>AXA Versicherung AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>3.188482</td>\n",
       "      <td>Other</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.964526</td>\n",
       "      <td>0.968809</td>\n",
       "      <td>0.834794</td>\n",
       "      <td>0.938591</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.446404</td>\n",
       "      <td>195.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>96.10</td>\n",
       "      <td>85.9868</td>\n",
       "      <td>85.710</td>\n",
       "      <td>76.62</td>\n",
       "      <td>84.4200</td>\n",
       "      <td>88.3100</td>\n",
       "      <td>3.947238</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Basler &amp; Hofmann West AG</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>6.283948</td>\n",
       "      <td>Divers</td>\n",
       "      <td>0.921559</td>\n",
       "      <td>0.716157</td>\n",
       "      <td>0.720300</td>\n",
       "      <td>0.504419</td>\n",
       "      <td>0.676017</td>\n",
       "      <td>0.760166</td>\n",
       "      <td>7.855159</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>94.81</td>\n",
       "      <td>82.3376</td>\n",
       "      <td>84.420</td>\n",
       "      <td>59.74</td>\n",
       "      <td>79.2200</td>\n",
       "      <td>87.0100</td>\n",
       "      <td>7.120077</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Basler &amp; Hofmann West AG</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>13.810311</td>\n",
       "      <td>Divers</td>\n",
       "      <td>0.892006</td>\n",
       "      <td>0.648310</td>\n",
       "      <td>0.685374</td>\n",
       "      <td>0.191525</td>\n",
       "      <td>0.575857</td>\n",
       "      <td>0.738743</td>\n",
       "      <td>12.819766</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>96.10</td>\n",
       "      <td>87.0776</td>\n",
       "      <td>87.010</td>\n",
       "      <td>77.92</td>\n",
       "      <td>84.4200</td>\n",
       "      <td>89.6100</td>\n",
       "      <td>4.045649</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Basler &amp; Hofmann West AG</td>\n",
       "      <td>ausschreibung_cpv</td>\n",
       "      <td>...</td>\n",
       "      <td>5.630397</td>\n",
       "      <td>Divers</td>\n",
       "      <td>0.921930</td>\n",
       "      <td>0.740182</td>\n",
       "      <td>0.741016</td>\n",
       "      <td>0.563872</td>\n",
       "      <td>0.689838</td>\n",
       "      <td>0.792054</td>\n",
       "      <td>7.980799</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>96.10</td>\n",
       "      <td>86.1556</td>\n",
       "      <td>87.010</td>\n",
       "      <td>76.62</td>\n",
       "      <td>83.1200</td>\n",
       "      <td>89.6100</td>\n",
       "      <td>4.461601</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Basler &amp; Hofmann West AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>7.166152</td>\n",
       "      <td>Divers</td>\n",
       "      <td>0.921559</td>\n",
       "      <td>0.720870</td>\n",
       "      <td>0.734969</td>\n",
       "      <td>0.528498</td>\n",
       "      <td>0.654995</td>\n",
       "      <td>0.783488</td>\n",
       "      <td>8.900998</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>94.81</td>\n",
       "      <td>83.2080</td>\n",
       "      <td>84.420</td>\n",
       "      <td>59.74</td>\n",
       "      <td>80.5200</td>\n",
       "      <td>87.0100</td>\n",
       "      <td>6.055887</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Basler &amp; Hofmann West AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>9.368793</td>\n",
       "      <td>Divers</td>\n",
       "      <td>0.895664</td>\n",
       "      <td>0.664245</td>\n",
       "      <td>0.673921</td>\n",
       "      <td>0.304323</td>\n",
       "      <td>0.597825</td>\n",
       "      <td>0.742029</td>\n",
       "      <td>10.979892</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>96.10</td>\n",
       "      <td>86.7401</td>\n",
       "      <td>87.010</td>\n",
       "      <td>75.32</td>\n",
       "      <td>84.0950</td>\n",
       "      <td>89.6100</td>\n",
       "      <td>4.365786</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Basler &amp; Hofmann West AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art</td>\n",
       "      <td>...</td>\n",
       "      <td>6.225383</td>\n",
       "      <td>Divers</td>\n",
       "      <td>0.921559</td>\n",
       "      <td>0.733969</td>\n",
       "      <td>0.743342</td>\n",
       "      <td>0.500803</td>\n",
       "      <td>0.671959</td>\n",
       "      <td>0.793404</td>\n",
       "      <td>8.626855</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>97.40</td>\n",
       "      <td>86.6487</td>\n",
       "      <td>87.010</td>\n",
       "      <td>77.92</td>\n",
       "      <td>84.4200</td>\n",
       "      <td>89.6100</td>\n",
       "      <td>3.902594</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Basler &amp; Hofmann West AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>6.554844</td>\n",
       "      <td>Divers</td>\n",
       "      <td>0.942963</td>\n",
       "      <td>0.726782</td>\n",
       "      <td>0.732639</td>\n",
       "      <td>0.533783</td>\n",
       "      <td>0.686892</td>\n",
       "      <td>0.776668</td>\n",
       "      <td>7.822198</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>93.51</td>\n",
       "      <td>81.2726</td>\n",
       "      <td>81.820</td>\n",
       "      <td>66.23</td>\n",
       "      <td>77.9200</td>\n",
       "      <td>85.7100</td>\n",
       "      <td>5.740763</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Basler &amp; Hofmann West AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>11.434663</td>\n",
       "      <td>Divers</td>\n",
       "      <td>0.865780</td>\n",
       "      <td>0.618186</td>\n",
       "      <td>0.613732</td>\n",
       "      <td>0.354949</td>\n",
       "      <td>0.549509</td>\n",
       "      <td>0.694498</td>\n",
       "      <td>11.036982</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>97.40</td>\n",
       "      <td>86.9869</td>\n",
       "      <td>87.010</td>\n",
       "      <td>79.22</td>\n",
       "      <td>84.4200</td>\n",
       "      <td>89.6100</td>\n",
       "      <td>3.840696</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Basler &amp; Hofmann West AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>5.877908</td>\n",
       "      <td>Divers</td>\n",
       "      <td>0.942963</td>\n",
       "      <td>0.734504</td>\n",
       "      <td>0.735044</td>\n",
       "      <td>0.584856</td>\n",
       "      <td>0.687395</td>\n",
       "      <td>0.787428</td>\n",
       "      <td>7.558195</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>96.10</td>\n",
       "      <td>86.7530</td>\n",
       "      <td>87.010</td>\n",
       "      <td>77.92</td>\n",
       "      <td>84.4200</td>\n",
       "      <td>89.6100</td>\n",
       "      <td>3.800554</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Basler &amp; Hofmann West AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>6.520810</td>\n",
       "      <td>Divers</td>\n",
       "      <td>0.921559</td>\n",
       "      <td>0.729402</td>\n",
       "      <td>0.735044</td>\n",
       "      <td>0.556030</td>\n",
       "      <td>0.682819</td>\n",
       "      <td>0.782882</td>\n",
       "      <td>7.567857</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>94.81</td>\n",
       "      <td>80.7013</td>\n",
       "      <td>81.170</td>\n",
       "      <td>59.74</td>\n",
       "      <td>76.6200</td>\n",
       "      <td>84.4200</td>\n",
       "      <td>6.125510</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Basler &amp; Hofmann West AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>10.587720</td>\n",
       "      <td>Divers</td>\n",
       "      <td>0.893383</td>\n",
       "      <td>0.609182</td>\n",
       "      <td>0.617182</td>\n",
       "      <td>0.267762</td>\n",
       "      <td>0.532992</td>\n",
       "      <td>0.668774</td>\n",
       "      <td>11.938548</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>97.40</td>\n",
       "      <td>86.7140</td>\n",
       "      <td>87.010</td>\n",
       "      <td>77.92</td>\n",
       "      <td>84.4200</td>\n",
       "      <td>89.6100</td>\n",
       "      <td>3.949356</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Basler &amp; Hofmann West AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>6.022669</td>\n",
       "      <td>Divers</td>\n",
       "      <td>0.942963</td>\n",
       "      <td>0.728919</td>\n",
       "      <td>0.730978</td>\n",
       "      <td>0.556009</td>\n",
       "      <td>0.672524</td>\n",
       "      <td>0.780153</td>\n",
       "      <td>7.867666</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>97.40</td>\n",
       "      <td>86.9608</td>\n",
       "      <td>87.010</td>\n",
       "      <td>77.92</td>\n",
       "      <td>84.4200</td>\n",
       "      <td>89.6100</td>\n",
       "      <td>3.826919</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Basler &amp; Hofmann West AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>6.519205</td>\n",
       "      <td>Divers</td>\n",
       "      <td>0.945390</td>\n",
       "      <td>0.733617</td>\n",
       "      <td>0.734591</td>\n",
       "      <td>0.543621</td>\n",
       "      <td>0.686198</td>\n",
       "      <td>0.787879</td>\n",
       "      <td>7.614700</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>93.51</td>\n",
       "      <td>80.5971</td>\n",
       "      <td>80.520</td>\n",
       "      <td>64.94</td>\n",
       "      <td>76.6200</td>\n",
       "      <td>84.4200</td>\n",
       "      <td>5.272432</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Basler &amp; Hofmann West AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>9.355743</td>\n",
       "      <td>Divers</td>\n",
       "      <td>0.868227</td>\n",
       "      <td>0.603785</td>\n",
       "      <td>0.611641</td>\n",
       "      <td>0.298385</td>\n",
       "      <td>0.537981</td>\n",
       "      <td>0.681528</td>\n",
       "      <td>10.419488</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>96.10</td>\n",
       "      <td>87.0907</td>\n",
       "      <td>87.010</td>\n",
       "      <td>77.92</td>\n",
       "      <td>84.4200</td>\n",
       "      <td>89.6100</td>\n",
       "      <td>3.790970</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Basler &amp; Hofmann West AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>5.660013</td>\n",
       "      <td>Divers</td>\n",
       "      <td>0.921559</td>\n",
       "      <td>0.736168</td>\n",
       "      <td>0.738512</td>\n",
       "      <td>0.579751</td>\n",
       "      <td>0.683719</td>\n",
       "      <td>0.786859</td>\n",
       "      <td>7.560750</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>96.10</td>\n",
       "      <td>86.9351</td>\n",
       "      <td>87.010</td>\n",
       "      <td>79.22</td>\n",
       "      <td>84.4200</td>\n",
       "      <td>89.6100</td>\n",
       "      <td>3.790640</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Basler &amp; Hofmann West AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>6.310030</td>\n",
       "      <td>Divers</td>\n",
       "      <td>0.921559</td>\n",
       "      <td>0.732213</td>\n",
       "      <td>0.738512</td>\n",
       "      <td>0.540477</td>\n",
       "      <td>0.672524</td>\n",
       "      <td>0.785307</td>\n",
       "      <td>7.631636</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>93.51</td>\n",
       "      <td>81.8957</td>\n",
       "      <td>81.820</td>\n",
       "      <td>68.83</td>\n",
       "      <td>79.2200</td>\n",
       "      <td>85.7100</td>\n",
       "      <td>5.151672</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Basler &amp; Hofmann West AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>8.549144</td>\n",
       "      <td>Divers</td>\n",
       "      <td>0.869035</td>\n",
       "      <td>0.632776</td>\n",
       "      <td>0.629433</td>\n",
       "      <td>0.344681</td>\n",
       "      <td>0.567523</td>\n",
       "      <td>0.713800</td>\n",
       "      <td>9.898600</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>97.40</td>\n",
       "      <td>87.0127</td>\n",
       "      <td>87.010</td>\n",
       "      <td>77.92</td>\n",
       "      <td>84.4200</td>\n",
       "      <td>89.6100</td>\n",
       "      <td>4.077866</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Basler &amp; Hofmann West AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>6.010033</td>\n",
       "      <td>Divers</td>\n",
       "      <td>0.942963</td>\n",
       "      <td>0.734749</td>\n",
       "      <td>0.737725</td>\n",
       "      <td>0.527443</td>\n",
       "      <td>0.686628</td>\n",
       "      <td>0.788192</td>\n",
       "      <td>8.202256</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>96.10</td>\n",
       "      <td>86.8180</td>\n",
       "      <td>87.010</td>\n",
       "      <td>79.22</td>\n",
       "      <td>84.0950</td>\n",
       "      <td>89.6100</td>\n",
       "      <td>3.842517</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Basler &amp; Hofmann West AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>6.148885</td>\n",
       "      <td>Divers</td>\n",
       "      <td>0.921559</td>\n",
       "      <td>0.729694</td>\n",
       "      <td>0.736065</td>\n",
       "      <td>0.554799</td>\n",
       "      <td>0.663723</td>\n",
       "      <td>0.783488</td>\n",
       "      <td>7.683041</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>93.51</td>\n",
       "      <td>81.5583</td>\n",
       "      <td>81.820</td>\n",
       "      <td>63.64</td>\n",
       "      <td>77.9200</td>\n",
       "      <td>85.7100</td>\n",
       "      <td>5.635239</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Basler &amp; Hofmann West AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>9.218644</td>\n",
       "      <td>Divers</td>\n",
       "      <td>0.870358</td>\n",
       "      <td>0.623032</td>\n",
       "      <td>0.626272</td>\n",
       "      <td>0.280657</td>\n",
       "      <td>0.556675</td>\n",
       "      <td>0.698190</td>\n",
       "      <td>11.113756</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>97.40</td>\n",
       "      <td>87.0779</td>\n",
       "      <td>87.010</td>\n",
       "      <td>77.92</td>\n",
       "      <td>84.4200</td>\n",
       "      <td>89.6100</td>\n",
       "      <td>3.947834</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Basler &amp; Hofmann West AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>5.910424</td>\n",
       "      <td>Divers</td>\n",
       "      <td>0.942963</td>\n",
       "      <td>0.735815</td>\n",
       "      <td>0.739130</td>\n",
       "      <td>0.540477</td>\n",
       "      <td>0.686442</td>\n",
       "      <td>0.787508</td>\n",
       "      <td>7.898303</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>96.10</td>\n",
       "      <td>86.9225</td>\n",
       "      <td>87.010</td>\n",
       "      <td>79.22</td>\n",
       "      <td>84.4200</td>\n",
       "      <td>89.6100</td>\n",
       "      <td>3.589589</td>\n",
       "      <td>gradient_boost</td>\n",
       "      <td>Basler &amp; Hofmann West AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>6.058720</td>\n",
       "      <td>Divers</td>\n",
       "      <td>0.921559</td>\n",
       "      <td>0.731088</td>\n",
       "      <td>0.731282</td>\n",
       "      <td>0.563178</td>\n",
       "      <td>0.678701</td>\n",
       "      <td>0.785695</td>\n",
       "      <td>7.291288</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>94.81</td>\n",
       "      <td>80.3508</td>\n",
       "      <td>80.520</td>\n",
       "      <td>62.34</td>\n",
       "      <td>77.9200</td>\n",
       "      <td>83.1200</td>\n",
       "      <td>5.033835</td>\n",
       "      <td>decision_tree</td>\n",
       "      <td>Basler &amp; Hofmann West AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>8.599357</td>\n",
       "      <td>Divers</td>\n",
       "      <td>0.885441</td>\n",
       "      <td>0.599450</td>\n",
       "      <td>0.595227</td>\n",
       "      <td>0.271670</td>\n",
       "      <td>0.541038</td>\n",
       "      <td>0.659783</td>\n",
       "      <td>10.052682</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>97.40</td>\n",
       "      <td>87.0780</td>\n",
       "      <td>87.010</td>\n",
       "      <td>79.22</td>\n",
       "      <td>84.4200</td>\n",
       "      <td>89.6100</td>\n",
       "      <td>3.873626</td>\n",
       "      <td>random_forest</td>\n",
       "      <td>Basler &amp; Hofmann West AG</td>\n",
       "      <td>ausschreibung_cpv,auftragsart_art,beschaffungs...</td>\n",
       "      <td>...</td>\n",
       "      <td>6.337354</td>\n",
       "      <td>Divers</td>\n",
       "      <td>0.942963</td>\n",
       "      <td>0.735826</td>\n",
       "      <td>0.739443</td>\n",
       "      <td>0.585293</td>\n",
       "      <td>0.687168</td>\n",
       "      <td>0.788210</td>\n",
       "      <td>7.785068</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>240 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     acc_max  acc_mean  acc_median  acc_min  acc_quantile_25  acc_quantile_75  \\\n",
       "0      82.33   74.2779      73.950    64.65          72.5600          76.2800   \n",
       "1      82.33   71.6273      71.625    60.47          69.3000          74.8800   \n",
       "2      81.86   74.7760      74.880    65.58          72.5600          77.2100   \n",
       "3      82.33   74.7110      74.880    64.19          73.0200          77.2100   \n",
       "4      81.86   71.3442      71.395    61.86          68.3700          74.4200   \n",
       "5      82.33   75.1713      75.350    65.58          73.0200          77.6700   \n",
       "6      83.26   75.9993      75.810    69.30          73.9500          78.6000   \n",
       "7      77.67   70.3953      70.230    62.33          67.9100          72.6750   \n",
       "8      83.26   75.9855      75.350    69.77          73.8350          78.6000   \n",
       "9      83.72   75.9064      75.580    68.84          73.9500          78.1400   \n",
       "10     79.53   71.6459      72.090    62.79          69.3000          73.9500   \n",
       "11     83.72   76.2737      76.280    69.30          74.4200          78.7175   \n",
       "12     82.79   76.0365      75.810    67.91          73.9500          78.7175   \n",
       "13     78.60   71.0697      70.930    62.79          68.8400          73.4900   \n",
       "14     83.72   76.3104      76.510    68.37          73.9500          78.6000   \n",
       "15     84.19   77.1385      76.975    70.23          74.7650          79.1850   \n",
       "16     79.07   71.2412      71.160    65.12          68.7225          73.0200   \n",
       "17     85.58   77.5805      77.670    69.77          75.3500          79.6475   \n",
       "18     83.72   77.0739      77.210    69.30          74.7650          80.0000   \n",
       "19     80.93   72.0603      71.860    63.26          70.1150          74.0675   \n",
       "20     84.65   77.6551      77.670    71.16          75.2325          80.0000   \n",
       "21     83.72   77.0412      77.210    67.91          74.7650          80.0000   \n",
       "22     78.14   71.4184      71.630    62.33          68.8400          73.9500   \n",
       "23     83.72   77.5856      77.670    70.23          75.2325          80.4700   \n",
       "24     88.79   80.4389      80.370    69.16          77.5700          83.1800   \n",
       "25     87.85   76.6354      76.640    65.42          73.8300          80.6050   \n",
       "26     88.79   80.0934      80.370    68.22          77.3375          83.1800   \n",
       "27     88.79   80.8876      80.370    70.09          78.5000          83.1800   \n",
       "28     86.92   77.4678      77.570    66.36          74.7700          80.6050   \n",
       "29     88.79   80.4201      80.370    68.22          77.5700          83.1800   \n",
       "..       ...       ...         ...      ...              ...              ...   \n",
       "210   100.00   98.2447      98.460    92.31          96.9200         100.0000   \n",
       "211   100.00   93.3073      93.850    73.85          90.7700          96.9200   \n",
       "212   100.00   98.2448      98.460    92.31          96.9200         100.0000   \n",
       "213   100.00   98.2755      98.460    92.31          96.9200         100.0000   \n",
       "214   100.00   93.1070      93.850    80.00          89.2300          96.9200   \n",
       "215   100.00   98.2755      98.460    92.31          96.9200         100.0000   \n",
       "216    96.10   85.9868      85.710    76.62          84.4200          88.3100   \n",
       "217    94.81   82.3376      84.420    59.74          79.2200          87.0100   \n",
       "218    96.10   87.0776      87.010    77.92          84.4200          89.6100   \n",
       "219    96.10   86.1556      87.010    76.62          83.1200          89.6100   \n",
       "220    94.81   83.2080      84.420    59.74          80.5200          87.0100   \n",
       "221    96.10   86.7401      87.010    75.32          84.0950          89.6100   \n",
       "222    97.40   86.6487      87.010    77.92          84.4200          89.6100   \n",
       "223    93.51   81.2726      81.820    66.23          77.9200          85.7100   \n",
       "224    97.40   86.9869      87.010    79.22          84.4200          89.6100   \n",
       "225    96.10   86.7530      87.010    77.92          84.4200          89.6100   \n",
       "226    94.81   80.7013      81.170    59.74          76.6200          84.4200   \n",
       "227    97.40   86.7140      87.010    77.92          84.4200          89.6100   \n",
       "228    97.40   86.9608      87.010    77.92          84.4200          89.6100   \n",
       "229    93.51   80.5971      80.520    64.94          76.6200          84.4200   \n",
       "230    96.10   87.0907      87.010    77.92          84.4200          89.6100   \n",
       "231    96.10   86.9351      87.010    79.22          84.4200          89.6100   \n",
       "232    93.51   81.8957      81.820    68.83          79.2200          85.7100   \n",
       "233    97.40   87.0127      87.010    77.92          84.4200          89.6100   \n",
       "234    96.10   86.8180      87.010    79.22          84.0950          89.6100   \n",
       "235    93.51   81.5583      81.820    63.64          77.9200          85.7100   \n",
       "236    97.40   87.0779      87.010    77.92          84.4200          89.6100   \n",
       "237    96.10   86.9225      87.010    79.22          84.4200          89.6100   \n",
       "238    94.81   80.3508      80.520    62.34          77.9200          83.1200   \n",
       "239    97.40   87.0780      87.010    79.22          84.4200          89.6100   \n",
       "\n",
       "      acc_std       algorithm                  anbieter  \\\n",
       "0    3.480734  gradient_boost                  Alpiq AG   \n",
       "1    3.926097   decision_tree                  Alpiq AG   \n",
       "2    3.447707   random_forest                  Alpiq AG   \n",
       "3    3.509476  gradient_boost                  Alpiq AG   \n",
       "4    3.961428   decision_tree                  Alpiq AG   \n",
       "5    3.399554   random_forest                  Alpiq AG   \n",
       "6    3.183916  gradient_boost                  Alpiq AG   \n",
       "7    3.434931   decision_tree                  Alpiq AG   \n",
       "8    3.176692   random_forest                  Alpiq AG   \n",
       "9    3.277685  gradient_boost                  Alpiq AG   \n",
       "10   3.408043   decision_tree                  Alpiq AG   \n",
       "11   3.140934   random_forest                  Alpiq AG   \n",
       "12   3.382139  gradient_boost                  Alpiq AG   \n",
       "13   3.379825   decision_tree                  Alpiq AG   \n",
       "14   3.221898   random_forest                  Alpiq AG   \n",
       "15   3.205946  gradient_boost                  Alpiq AG   \n",
       "16   3.342872   decision_tree                  Alpiq AG   \n",
       "17   3.140218   random_forest                  Alpiq AG   \n",
       "18   3.243435  gradient_boost                  Alpiq AG   \n",
       "19   3.467490   decision_tree                  Alpiq AG   \n",
       "20   3.087351   random_forest                  Alpiq AG   \n",
       "21   3.371884  gradient_boost                  Alpiq AG   \n",
       "22   3.680777   decision_tree                  Alpiq AG   \n",
       "23   3.294995   random_forest                  Alpiq AG   \n",
       "24   3.894377  gradient_boost                     KIBAG   \n",
       "25   4.846312   decision_tree                     KIBAG   \n",
       "26   3.970808   random_forest                     KIBAG   \n",
       "27   3.644026  gradient_boost                     KIBAG   \n",
       "28   4.348991   decision_tree                     KIBAG   \n",
       "29   3.853442   random_forest                     KIBAG   \n",
       "..        ...             ...                       ...   \n",
       "210  1.680603  gradient_boost       AXA Versicherung AG   \n",
       "211  5.405942   decision_tree       AXA Versicherung AG   \n",
       "212  1.666021   random_forest       AXA Versicherung AG   \n",
       "213  1.698462  gradient_boost       AXA Versicherung AG   \n",
       "214  5.082531   decision_tree       AXA Versicherung AG   \n",
       "215  1.670016   random_forest       AXA Versicherung AG   \n",
       "216  3.947238  gradient_boost  Basler & Hofmann West AG   \n",
       "217  7.120077   decision_tree  Basler & Hofmann West AG   \n",
       "218  4.045649   random_forest  Basler & Hofmann West AG   \n",
       "219  4.461601  gradient_boost  Basler & Hofmann West AG   \n",
       "220  6.055887   decision_tree  Basler & Hofmann West AG   \n",
       "221  4.365786   random_forest  Basler & Hofmann West AG   \n",
       "222  3.902594  gradient_boost  Basler & Hofmann West AG   \n",
       "223  5.740763   decision_tree  Basler & Hofmann West AG   \n",
       "224  3.840696   random_forest  Basler & Hofmann West AG   \n",
       "225  3.800554  gradient_boost  Basler & Hofmann West AG   \n",
       "226  6.125510   decision_tree  Basler & Hofmann West AG   \n",
       "227  3.949356   random_forest  Basler & Hofmann West AG   \n",
       "228  3.826919  gradient_boost  Basler & Hofmann West AG   \n",
       "229  5.272432   decision_tree  Basler & Hofmann West AG   \n",
       "230  3.790970   random_forest  Basler & Hofmann West AG   \n",
       "231  3.790640  gradient_boost  Basler & Hofmann West AG   \n",
       "232  5.151672   decision_tree  Basler & Hofmann West AG   \n",
       "233  4.077866   random_forest  Basler & Hofmann West AG   \n",
       "234  3.842517  gradient_boost  Basler & Hofmann West AG   \n",
       "235  5.635239   decision_tree  Basler & Hofmann West AG   \n",
       "236  3.947834   random_forest  Basler & Hofmann West AG   \n",
       "237  3.589589  gradient_boost  Basler & Hofmann West AG   \n",
       "238  5.033835   decision_tree  Basler & Hofmann West AG   \n",
       "239  3.873626   random_forest  Basler & Hofmann West AG   \n",
       "\n",
       "                                            attributes  ...     fn_std  \\\n",
       "0                                    ausschreibung_cpv  ...   5.586841   \n",
       "1                                    ausschreibung_cpv  ...  16.026253   \n",
       "2                                    ausschreibung_cpv  ...   4.392513   \n",
       "3                    ausschreibung_cpv,auftragsart_art  ...   7.010945   \n",
       "4                    ausschreibung_cpv,auftragsart_art  ...  16.033323   \n",
       "5                    ausschreibung_cpv,auftragsart_art  ...   5.841516   \n",
       "6    ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   5.803723   \n",
       "7    ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  15.105617   \n",
       "8    ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   5.947363   \n",
       "9    ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   5.896083   \n",
       "10   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  13.225740   \n",
       "11   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   5.953203   \n",
       "12   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   6.005999   \n",
       "13   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  14.307222   \n",
       "14   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   5.107585   \n",
       "15   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   5.449513   \n",
       "16   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  14.061458   \n",
       "17   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   5.347225   \n",
       "18   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   5.825702   \n",
       "19   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  13.940747   \n",
       "20   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   4.812078   \n",
       "21   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   5.627925   \n",
       "22   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  13.608727   \n",
       "23   ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   5.482462   \n",
       "24                                   ausschreibung_cpv  ...   4.946033   \n",
       "25                                   ausschreibung_cpv  ...  17.193549   \n",
       "26                                   ausschreibung_cpv  ...   5.212578   \n",
       "27                   ausschreibung_cpv,auftragsart_art  ...   5.220097   \n",
       "28                   ausschreibung_cpv,auftragsart_art  ...  12.427293   \n",
       "29                   ausschreibung_cpv,auftragsart_art  ...   5.295440   \n",
       "..                                                 ...  ...        ...   \n",
       "210  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   3.351119   \n",
       "211  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   7.588411   \n",
       "212  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   3.228006   \n",
       "213  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   3.350370   \n",
       "214  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   8.710372   \n",
       "215  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   3.188482   \n",
       "216                                  ausschreibung_cpv  ...   6.283948   \n",
       "217                                  ausschreibung_cpv  ...  13.810311   \n",
       "218                                  ausschreibung_cpv  ...   5.630397   \n",
       "219                  ausschreibung_cpv,auftragsart_art  ...   7.166152   \n",
       "220                  ausschreibung_cpv,auftragsart_art  ...   9.368793   \n",
       "221                  ausschreibung_cpv,auftragsart_art  ...   6.225383   \n",
       "222  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   6.554844   \n",
       "223  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  11.434663   \n",
       "224  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   5.877908   \n",
       "225  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   6.520810   \n",
       "226  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...  10.587720   \n",
       "227  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   6.022669   \n",
       "228  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   6.519205   \n",
       "229  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   9.355743   \n",
       "230  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   5.660013   \n",
       "231  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   6.310030   \n",
       "232  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   8.549144   \n",
       "233  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   6.010033   \n",
       "234  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   6.148885   \n",
       "235  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   9.218644   \n",
       "236  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   5.910424   \n",
       "237  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   6.058720   \n",
       "238  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   8.599357   \n",
       "239  ausschreibung_cpv,auftragsart_art,beschaffungs...  ...   6.337354   \n",
       "\n",
       "            label   mcc_max  mcc_mean  mcc_median   mcc_min  mcc_quantile_25  \\\n",
       "0    Construction  0.658069  0.506228    0.508195  0.303895         0.463482   \n",
       "1    Construction  0.640612  0.443818    0.454951  0.124458         0.390345   \n",
       "2    Construction  0.655136  0.518818    0.520557  0.331002         0.478874   \n",
       "3    Construction  0.660877  0.514851    0.519559  0.265991         0.480353   \n",
       "4    Construction  0.670667  0.441793    0.458945  0.187844         0.385821   \n",
       "5    Construction  0.663927  0.524639    0.529306  0.330070         0.483614   \n",
       "6    Construction  0.647396  0.505414    0.496785  0.347711         0.463976   \n",
       "7    Construction  0.567618  0.396498    0.395717  0.159577         0.350084   \n",
       "8    Construction  0.656411  0.504973    0.497228  0.361580         0.456186   \n",
       "9    Construction  0.661432  0.504445    0.498704  0.342658         0.464322   \n",
       "10   Construction  0.603390  0.427692    0.423483  0.230621         0.374620   \n",
       "11   Construction  0.657693  0.512117    0.507463  0.370721         0.475832   \n",
       "12   Construction  0.638052  0.505794    0.502282  0.344836         0.465013   \n",
       "13   Construction  0.576938  0.413527    0.420543  0.198524         0.373572   \n",
       "14   Construction  0.658839  0.511694    0.512960  0.356203         0.469119   \n",
       "15   Construction  0.659810  0.524024    0.516520  0.382870         0.480335   \n",
       "16   Construction  0.580627  0.407129    0.405808  0.255377         0.351858   \n",
       "17   Construction  0.696541  0.533418    0.537179  0.391294         0.492043   \n",
       "18   Construction  0.660536  0.522262    0.519397  0.351375         0.472577   \n",
       "19   Construction  0.599713  0.424494    0.424438  0.240765         0.379801   \n",
       "20   Construction  0.676960  0.534949    0.540212  0.382870         0.490243   \n",
       "21   Construction  0.658839  0.521989    0.524946  0.327625         0.475670   \n",
       "22   Construction  0.559281  0.410995    0.419339  0.189743         0.346532   \n",
       "23   Construction  0.655759  0.534294    0.541119  0.376825         0.488141   \n",
       "24   Construction  0.777241  0.622750    0.617622  0.435512         0.575532   \n",
       "25   Construction  0.760772  0.532981    0.533657  0.283733         0.467443   \n",
       "26   Construction  0.780833  0.620260    0.618036  0.433492         0.566446   \n",
       "27   Construction  0.781133  0.629430    0.626384  0.448820         0.587184   \n",
       "28   Construction  0.759972  0.558947    0.555355  0.300362         0.515714   \n",
       "29   Construction  0.790503  0.624765    0.617358  0.435579         0.574381   \n",
       "..            ...       ...       ...         ...       ...              ...   \n",
       "210         Other  1.000000  0.963863    0.968644  0.834794         0.939022   \n",
       "211         Other  1.000000  0.867589    0.877931  0.518711         0.827515   \n",
       "212         Other  1.000000  0.963953    0.968445  0.834794         0.939022   \n",
       "213         Other  1.000000  0.964480    0.968809  0.834794         0.939022   \n",
       "214         Other  1.000000  0.863548    0.883928  0.605436         0.801804   \n",
       "215         Other  1.000000  0.964526    0.968809  0.834794         0.938591   \n",
       "216        Divers  0.921559  0.716157    0.720300  0.504419         0.676017   \n",
       "217        Divers  0.892006  0.648310    0.685374  0.191525         0.575857   \n",
       "218        Divers  0.921930  0.740182    0.741016  0.563872         0.689838   \n",
       "219        Divers  0.921559  0.720870    0.734969  0.528498         0.654995   \n",
       "220        Divers  0.895664  0.664245    0.673921  0.304323         0.597825   \n",
       "221        Divers  0.921559  0.733969    0.743342  0.500803         0.671959   \n",
       "222        Divers  0.942963  0.726782    0.732639  0.533783         0.686892   \n",
       "223        Divers  0.865780  0.618186    0.613732  0.354949         0.549509   \n",
       "224        Divers  0.942963  0.734504    0.735044  0.584856         0.687395   \n",
       "225        Divers  0.921559  0.729402    0.735044  0.556030         0.682819   \n",
       "226        Divers  0.893383  0.609182    0.617182  0.267762         0.532992   \n",
       "227        Divers  0.942963  0.728919    0.730978  0.556009         0.672524   \n",
       "228        Divers  0.945390  0.733617    0.734591  0.543621         0.686198   \n",
       "229        Divers  0.868227  0.603785    0.611641  0.298385         0.537981   \n",
       "230        Divers  0.921559  0.736168    0.738512  0.579751         0.683719   \n",
       "231        Divers  0.921559  0.732213    0.738512  0.540477         0.672524   \n",
       "232        Divers  0.869035  0.632776    0.629433  0.344681         0.567523   \n",
       "233        Divers  0.942963  0.734749    0.737725  0.527443         0.686628   \n",
       "234        Divers  0.921559  0.729694    0.736065  0.554799         0.663723   \n",
       "235        Divers  0.870358  0.623032    0.626272  0.280657         0.556675   \n",
       "236        Divers  0.942963  0.735815    0.739130  0.540477         0.686442   \n",
       "237        Divers  0.921559  0.731088    0.731282  0.563178         0.678701   \n",
       "238        Divers  0.885441  0.599450    0.595227  0.271670         0.541038   \n",
       "239        Divers  0.942963  0.735826    0.739443  0.585293         0.687168   \n",
       "\n",
       "    mcc_quantile_75    mcc_std  sample_size_mean  \n",
       "0          0.546531   6.699499             645.0  \n",
       "1          0.507711   9.401778             645.0  \n",
       "2          0.560829   6.470883             645.0  \n",
       "3          0.558065   6.931142             645.0  \n",
       "4          0.506994   9.391060             645.0  \n",
       "5          0.563315   6.668698             645.0  \n",
       "6          0.550297   6.379307             645.0  \n",
       "7          0.464150   8.227078             645.0  \n",
       "8          0.555678   6.438380             645.0  \n",
       "9          0.548640   6.612873             645.0  \n",
       "10         0.480064   7.205215             645.0  \n",
       "11         0.558319   6.312646             645.0  \n",
       "12         0.555438   6.755063             645.0  \n",
       "13         0.466400   7.451355             645.0  \n",
       "14         0.554737   6.366536             645.0  \n",
       "15         0.558451   6.457785             645.0  \n",
       "16         0.464592   7.553561             645.0  \n",
       "17         0.573277   6.413295             645.0  \n",
       "18         0.573564   6.673375             645.0  \n",
       "19         0.468612   7.560008             645.0  \n",
       "20         0.579308   6.243144             645.0  \n",
       "21         0.571350   6.897487             645.0  \n",
       "22         0.468854   8.161234             645.0  \n",
       "23         0.582689   6.675931             645.0  \n",
       "24         0.667935   7.229370             321.0  \n",
       "25         0.619795  10.789334             321.0  \n",
       "26         0.670838   7.275854             321.0  \n",
       "27         0.669338   6.833504             321.0  \n",
       "28         0.617265   8.544059             321.0  \n",
       "29         0.677576   7.131773             321.0  \n",
       "..              ...        ...               ...  \n",
       "210        1.000000   3.475918             195.0  \n",
       "211        0.938330  10.126129             195.0  \n",
       "212        1.000000   3.437653             195.0  \n",
       "213        1.000000   3.513853             195.0  \n",
       "214        0.937916   9.847998             195.0  \n",
       "215        1.000000   3.446404             195.0  \n",
       "216        0.760166   7.855159             231.0  \n",
       "217        0.738743  12.819766             231.0  \n",
       "218        0.792054   7.980799             231.0  \n",
       "219        0.783488   8.900998             231.0  \n",
       "220        0.742029  10.979892             231.0  \n",
       "221        0.793404   8.626855             231.0  \n",
       "222        0.776668   7.822198             231.0  \n",
       "223        0.694498  11.036982             231.0  \n",
       "224        0.787428   7.558195             231.0  \n",
       "225        0.782882   7.567857             231.0  \n",
       "226        0.668774  11.938548             231.0  \n",
       "227        0.780153   7.867666             231.0  \n",
       "228        0.787879   7.614700             231.0  \n",
       "229        0.681528  10.419488             231.0  \n",
       "230        0.786859   7.560750             231.0  \n",
       "231        0.785307   7.631636             231.0  \n",
       "232        0.713800   9.898600             231.0  \n",
       "233        0.788192   8.202256             231.0  \n",
       "234        0.783488   7.683041             231.0  \n",
       "235        0.698190  11.113756             231.0  \n",
       "236        0.787508   7.898303             231.0  \n",
       "237        0.785695   7.291288             231.0  \n",
       "238        0.659783  10.052682             231.0  \n",
       "239        0.788210   7.785068             231.0  \n",
       "\n",
       "[240 rows x 26 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['sample_size_mean']>80]"
   ]
  }
 ],
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