Bachelors_thesis_analyses.ipynb

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    "<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n",
    "<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#Data-sets\" data-toc-modified-id=\"Data-sets-1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>Data sets</a></span><ul class=\"toc-item\"><li><span><a href=\"#COMPAS-data\" data-toc-modified-id=\"COMPAS-data-1.1\"><span class=\"toc-item-num\">1.1&nbsp;&nbsp;</span>COMPAS data</a></span></li><li><span><a href=\"#Synthetic-data\" data-toc-modified-id=\"Synthetic-data-1.2\"><span class=\"toc-item-num\">1.2&nbsp;&nbsp;</span>Synthetic data</a></span></li></ul></li><li><span><a href=\"#Algorithms\" data-toc-modified-id=\"Algorithms-2\"><span class=\"toc-item-num\">2&nbsp;&nbsp;</span>Algorithms</a></span><ul class=\"toc-item\"><li><span><a href=\"#Contraction-algorithm\" data-toc-modified-id=\"Contraction-algorithm-2.1\"><span class=\"toc-item-num\">2.1&nbsp;&nbsp;</span>Contraction algorithm</a></span></li><li><span><a href=\"#Causal-model\" data-toc-modified-id=\"Causal-model-2.2\"><span class=\"toc-item-num\">2.2&nbsp;&nbsp;</span>Causal model</a></span></li></ul></li><li><span><a href=\"#Performance-comparison\" data-toc-modified-id=\"Performance-comparison-3\"><span class=\"toc-item-num\">3&nbsp;&nbsp;</span>Performance comparison</a></span><ul class=\"toc-item\"><li><span><a href=\"#On-synthetic-data\" data-toc-modified-id=\"On-synthetic-data-3.1\"><span class=\"toc-item-num\">3.1&nbsp;&nbsp;</span>On synthetic data</a></span><ul class=\"toc-item\"><li><span><a href=\"#Predictive-models\" data-toc-modified-id=\"Predictive-models-3.1.1\"><span class=\"toc-item-num\">3.1.1&nbsp;&nbsp;</span>Predictive models</a></span></li><li><span><a href=\"#Visual-comparison\" data-toc-modified-id=\"Visual-comparison-3.1.2\"><span class=\"toc-item-num\">3.1.2&nbsp;&nbsp;</span>Visual comparison</a></span></li></ul></li><li><span><a href=\"#On-COMPAS-data\" data-toc-modified-id=\"On-COMPAS-data-3.2\"><span class=\"toc-item-num\">3.2&nbsp;&nbsp;</span>On COMPAS data</a></span><ul class=\"toc-item\"><li><span><a href=\"#Predictive-models\" data-toc-modified-id=\"Predictive-models-3.2.1\"><span class=\"toc-item-num\">3.2.1&nbsp;&nbsp;</span>Predictive models</a></span></li></ul></li></ul></li></ul></div>"
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   "source": [
    "# Bachelors thesis' analyses\n",
    "\n",
    "*This Jupyter notebook is for the analyses and model building for Riku Laine's bachelors thesis*\n",
    "\n",
    "Table of contents is provided above. First I will briefly present the COMPAS data set and then create the synthetic data set as done by Lakkaraju *et al.* ([link](https://helka.finna.fi/PrimoRecord/pci.acm3098066)). Then I will proceed to implement algorithms. Finally I will do the side-by-side comparisons of the results on the synthetic data. Finally I run the causal model on the COMPAS data.\n",
    "\n",
    "## Data sets\n",
    "\n",
    "*Below I load the COMPAS data set and generate the synthetic one.*\n",
    "\n",
    "### COMPAS data\n",
    "\n",
    "The following data filtering procedure follows the one described in the [ProPublica methodology](https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm)."
   ]
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  {
   "cell_type": "code",
   "execution_count": 1,
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    {
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     "text": [
      "(7214, 53)\n",
      "['id' 'name' 'first' 'last' 'compas_screening_date' 'sex' 'dob' 'age'\n",
      " 'age_cat' 'race' 'juv_fel_count' 'decile_score' 'juv_misd_count'\n",
      " 'juv_other_count' 'priors_count' 'days_b_screening_arrest' 'c_jail_in'\n",
      " 'c_jail_out' 'c_case_number' 'c_offense_date' 'c_arrest_date'\n",
      " 'c_days_from_compas' 'c_charge_degree' 'c_charge_desc' 'is_recid'\n",
      " 'r_case_number' 'r_charge_degree' 'r_days_from_arrest' 'r_offense_date'\n",
      " 'r_charge_desc' 'r_jail_in' 'r_jail_out' 'violent_recid'\n",
      " 'is_violent_recid' 'vr_case_number' 'vr_charge_degree' 'vr_offense_date'\n",
      " 'vr_charge_desc' 'type_of_assessment' 'decile_score.1' 'score_text'\n",
      " 'screening_date' 'v_type_of_assessment' 'v_decile_score' 'v_score_text'\n",
      " 'v_screening_date' 'in_custody' 'out_custody' 'priors_count.1' 'start'\n",
      " 'end' 'event' 'two_year_recid']\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from datetime import datetime\n",
    "import matplotlib.pyplot as plt\n",
    "import scipy.stats as scs\n",
    "import seaborn as sns\n",
    "import numpy.random as npr\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "plt.rcParams.update({'font.size': 16})\n",
    "plt.rcParams.update({'figure.figsize': (14, 7)})\n",
    "\n",
    "# Read file\n",
    "compas_raw = pd.read_csv(\"../data/compas-scores-two-years.csv\")\n",
    "\n",
    "# Check dimensions, number of rows should be 7214\n",
    "print(compas_raw.shape)\n",
    "print(compas_raw.columns.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(6172, 13)"
      ]
     },
     "execution_count": 2,
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   ],
   "source": [
    "# Select columns\n",
    "compas = compas_raw[[\n",
    "    'age', 'c_charge_degree', 'race', 'age_cat', 'score_text', 'sex',\n",
    "    'priors_count', 'days_b_screening_arrest', 'decile_score', 'is_recid',\n",
    "    'two_year_recid', 'c_jail_in', 'c_jail_out'\n",
    "]]\n",
    "\n",
    "# Subset values, see reasons in ProPublica methodology.\n",
    "compas = compas.query('days_b_screening_arrest <= 30 and \\\n",
    "                      days_b_screening_arrest >= -30 and \\\n",
    "                      is_recid != -1 and \\\n",
    "                      c_charge_degree != \"O\"')\n",
    "\n",
    "# Drop row if score_text is na\n",
    "compas = compas[compas.score_text.notnull()]\n",
    "\n",
    "compas.shape"
   ]
  },
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>69</td>\n",
       "      <td>34</td>\n",
       "      <td>24</td>\n",
       "      <td>44</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>c_charge_degree</th>\n",
       "      <td>F</td>\n",
       "      <td>F</td>\n",
       "      <td>F</td>\n",
       "      <td>M</td>\n",
       "      <td>F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>race</th>\n",
       "      <td>Other</td>\n",
       "      <td>African-American</td>\n",
       "      <td>African-American</td>\n",
       "      <td>Other</td>\n",
       "      <td>Caucasian</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>age_cat</th>\n",
       "      <td>Greater than 45</td>\n",
       "      <td>25 - 45</td>\n",
       "      <td>Less than 25</td>\n",
       "      <td>25 - 45</td>\n",
       "      <td>25 - 45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>score_text</th>\n",
       "      <td>Low</td>\n",
       "      <td>Low</td>\n",
       "      <td>Low</td>\n",
       "      <td>Low</td>\n",
       "      <td>Medium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sex</th>\n",
       "      <td>Male</td>\n",
       "      <td>Male</td>\n",
       "      <td>Male</td>\n",
       "      <td>Male</td>\n",
       "      <td>Male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>priors_count</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>days_b_screening_arrest</th>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>decile_score</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>is_recid</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>two_year_recid</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>c_jail_in</th>\n",
       "      <td>2013-08-13 06:03:42</td>\n",
       "      <td>2013-01-26 03:45:27</td>\n",
       "      <td>2013-04-13 04:58:34</td>\n",
       "      <td>2013-11-30 04:50:18</td>\n",
       "      <td>2014-02-18 05:08:24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>c_jail_out</th>\n",
       "      <td>2013-08-14 05:41:20</td>\n",
       "      <td>2013-02-05 05:36:53</td>\n",
       "      <td>2013-04-14 07:02:04</td>\n",
       "      <td>2013-12-01 12:28:56</td>\n",
       "      <td>2014-02-24 12:18:30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>length_of_stay</th>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
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      "text/plain": [
       "                                           0                    1  \\\n",
       "age                                       69                   34   \n",
       "c_charge_degree                            F                    F   \n",
       "race                                   Other     African-American   \n",
       "age_cat                      Greater than 45              25 - 45   \n",
       "score_text                               Low                  Low   \n",
       "sex                                     Male                 Male   \n",
       "priors_count                               0                    0   \n",
       "days_b_screening_arrest                   -1                   -1   \n",
       "decile_score                               1                    3   \n",
       "is_recid                                   0                    1   \n",
       "two_year_recid                             0                    1   \n",
       "c_jail_in                2013-08-13 06:03:42  2013-01-26 03:45:27   \n",
       "c_jail_out               2013-08-14 05:41:20  2013-02-05 05:36:53   \n",
       "length_of_stay                             0                   10   \n",
       "\n",
       "                                           2                    5  \\\n",
       "age                                       24                   44   \n",
       "c_charge_degree                            F                    M   \n",
       "race                        African-American                Other   \n",
       "age_cat                         Less than 25              25 - 45   \n",
       "score_text                               Low                  Low   \n",
       "sex                                     Male                 Male   \n",
       "priors_count                               4                    0   \n",
       "days_b_screening_arrest                   -1                    0   \n",
       "decile_score                               4                    1   \n",
       "is_recid                                   1                    0   \n",
       "two_year_recid                             1                    0   \n",
       "c_jail_in                2013-04-13 04:58:34  2013-11-30 04:50:18   \n",
       "c_jail_out               2013-04-14 07:02:04  2013-12-01 12:28:56   \n",
       "length_of_stay                             1                    1   \n",
       "\n",
       "                                           6  \n",
       "age                                       41  \n",
       "c_charge_degree                            F  \n",
       "race                               Caucasian  \n",
       "age_cat                              25 - 45  \n",
       "score_text                            Medium  \n",
       "sex                                     Male  \n",
       "priors_count                              14  \n",
       "days_b_screening_arrest                   -1  \n",
       "decile_score                               6  \n",
       "is_recid                                   1  \n",
       "two_year_recid                             1  \n",
       "c_jail_in                2014-02-18 05:08:24  \n",
       "c_jail_out               2014-02-24 12:18:30  \n",
       "length_of_stay                             6  "
      ]
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    }
   ],
   "source": [
    "# Calculate length of stay\n",
    "out = pd.to_datetime(compas.c_jail_out, format=\"%Y-%m-%d %H:%M:%S\")\n",
    "in_ = pd.to_datetime(compas.c_jail_in, format=\"%Y-%m-%d %H:%M:%S\")\n",
    "\n",
    "compas['length_of_stay'] = (out - in_).astype('timedelta64[D]')\n",
    "\n",
    "# Structure of the data\n",
    "display(compas.head(5).T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
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   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>unique</th>\n",
       "      <th>top</th>\n",
       "      <th>freq</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
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       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>6172</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.5345</td>\n",
       "      <td>11.7309</td>\n",
       "      <td>18</td>\n",
       "      <td>25</td>\n",
       "      <td>31</td>\n",
       "      <td>42</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>c_charge_degree</th>\n",
       "      <td>6172</td>\n",
       "      <td>2</td>\n",
       "      <td>F</td>\n",
       "      <td>3970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>race</th>\n",
       "      <td>6172</td>\n",
       "      <td>6</td>\n",
       "      <td>African-American</td>\n",
       "      <td>3175</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>age_cat</th>\n",
       "      <td>6172</td>\n",
       "      <td>3</td>\n",
       "      <td>25 - 45</td>\n",
       "      <td>3532</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>score_text</th>\n",
       "      <td>6172</td>\n",
       "      <td>3</td>\n",
       "      <td>Low</td>\n",
       "      <td>3421</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sex</th>\n",
       "      <td>6172</td>\n",
       "      <td>2</td>\n",
       "      <td>Male</td>\n",
       "      <td>4997</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>priors_count</th>\n",
       "      <td>6172</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.24644</td>\n",
       "      <td>4.74377</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>days_b_screening_arrest</th>\n",
       "      <td>6172</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.74028</td>\n",
       "      <td>5.08471</td>\n",
       "      <td>-30</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>decile_score</th>\n",
       "      <td>6172</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.4185</td>\n",
       "      <td>2.83946</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>is_recid</th>\n",
       "      <td>6172</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.484446</td>\n",
       "      <td>0.499799</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>two_year_recid</th>\n",
       "      <td>6172</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.45512</td>\n",
       "      <td>0.498022</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>c_jail_in</th>\n",
       "      <td>6172</td>\n",
       "      <td>6172</td>\n",
       "      <td>2013-02-24 03:25:29</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>c_jail_out</th>\n",
       "      <td>6172</td>\n",
       "      <td>6161</td>\n",
       "      <td>2013-09-14 05:58:00</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>length_of_stay</th>\n",
       "      <td>6172</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.6228</td>\n",
       "      <td>46.6935</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>799</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        count unique                  top  freq      mean  \\\n",
       "age                      6172    NaN                  NaN   NaN   34.5345   \n",
       "c_charge_degree          6172      2                    F  3970       NaN   \n",
       "race                     6172      6     African-American  3175       NaN   \n",
       "age_cat                  6172      3              25 - 45  3532       NaN   \n",
       "score_text               6172      3                  Low  3421       NaN   \n",
       "sex                      6172      2                 Male  4997       NaN   \n",
       "priors_count             6172    NaN                  NaN   NaN   3.24644   \n",
       "days_b_screening_arrest  6172    NaN                  NaN   NaN  -1.74028   \n",
       "decile_score             6172    NaN                  NaN   NaN    4.4185   \n",
       "is_recid                 6172    NaN                  NaN   NaN  0.484446   \n",
       "two_year_recid           6172    NaN                  NaN   NaN   0.45512   \n",
       "c_jail_in                6172   6172  2013-02-24 03:25:29     1       NaN   \n",
       "c_jail_out               6172   6161  2013-09-14 05:58:00     3       NaN   \n",
       "length_of_stay           6172    NaN                  NaN   NaN   14.6228   \n",
       "\n",
       "                              std  min  25%  50%  75%  max  \n",
       "age                       11.7309   18   25   31   42   96  \n",
       "c_charge_degree               NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "race                          NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "age_cat                       NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "score_text                    NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "sex                           NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "priors_count              4.74377    0    0    1    4   38  \n",
       "days_b_screening_arrest   5.08471  -30   -1   -1   -1   30  \n",
       "decile_score              2.83946    1    2    4    7   10  \n",
       "is_recid                 0.499799    0    0    0    1    1  \n",
       "two_year_recid           0.498022    0    0    0    1    1  \n",
       "c_jail_in                     NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "c_jail_out                    NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "length_of_stay            46.6935   -1    0    1    5  799  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "compas.describe(include='all').T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Notes:**\n",
    "\n",
    "* Mean age is roughly 34.5 years ranging from 18 to 96\n",
    "* Defendants have an average of 3.2 priors (sd 4.7) and more than half have 1 or more prior.\n",
    "* 48.4% have recidivated in general and 45.5% recidivated within a two-year period following their arrest."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x900 with 30 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "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>age</th>\n",
       "      <th>priors_count</th>\n",
       "      <th>days_b_screening_arrest</th>\n",
       "      <th>decile_score</th>\n",
       "      <th>length_of_stay</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>1.00</td>\n",
       "      <td>0.12</td>\n",
       "      <td>-0.07</td>\n",
       "      <td>-0.40</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>priors_count</th>\n",
       "      <td>0.12</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>days_b_screening_arrest</th>\n",
       "      <td>-0.07</td>\n",
       "      <td>0.02</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>decile_score</th>\n",
       "      <td>-0.40</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.09</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>length_of_stay</th>\n",
       "      <td>0.01</td>\n",
       "      <td>0.19</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.21</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          age  priors_count  days_b_screening_arrest  \\\n",
       "age                      1.00          0.12                    -0.07   \n",
       "priors_count             0.12          1.00                     0.02   \n",
       "days_b_screening_arrest -0.07          0.02                     1.00   \n",
       "decile_score            -0.40          0.45                     0.09   \n",
       "length_of_stay           0.01          0.19                     0.06   \n",
       "\n",
       "                         decile_score  length_of_stay  \n",
       "age                             -0.40            0.01  \n",
       "priors_count                     0.45            0.19  \n",
       "days_b_screening_arrest          0.09            0.06  \n",
       "decile_score                     1.00            0.21  \n",
       "length_of_stay                   0.21            1.00  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(compas[[\n",
    "    'age', 'priors_count', 'days_b_screening_arrest', 'decile_score',\n",
    "    'length_of_stay'\n",
    "]])\n",
    "plt.show()\n",
    "\n",
    "display(compas[[\n",
    "    'age', 'priors_count', 'days_b_screening_arrest', 'decile_score',\n",
    "    'length_of_stay'\n",
    "]].corr().round(2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Notes:**\n",
    "\n",
    "* Some notable correlations: `age` and `decile_score` ($\\rho\\approx-0.40$, Spearman -0.44) and `decile_score` and `priors_count` ($\\rho\\approx0.45$, Spearman 0.44)\n",
    "* Spearman correlation was for `length_of_stay` and `priors_count` 0.27 and for `length_of_stay` and `decile_score` 0.27"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1     1286\n",
      "2      822\n",
      "4      666\n",
      "3      647\n",
      "5      582\n",
      "6      529\n",
      "7      496\n",
      "9      420\n",
      "8      420\n",
      "10     304\n",
      "Name: decile_score, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# Decile scores should be evenly distributed but are not.\n",
    "print(compas.decile_score.value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "25 - 45            3532\n",
      "Less than 25       1347\n",
      "Greater than 45    1293\n",
      "Name: age_cat, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(compas.age_cat.value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "African-American    3175\n",
      "Caucasian           2103\n",
      "Hispanic             509\n",
      "Other                343\n",
      "Asian                 31\n",
      "Native American       11\n",
      "Name: race, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(compas.race.value_counts())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A very small number of Asian and Native American defendants."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Black defendants: 51.44%\n",
      "White defendants: 34.07%\n",
      "Hispanic defendants: 8.25%\n",
      "Asian defendants: 0.50%\n",
      "Native American defendants: 0.18%\n",
      "---\n",
      "Defendants of other race: 5.56%\n"
     ]
    }
   ],
   "source": [
    "print(\"Black defendants: %.2f%%\" % (3175 / 6172 * 100))\n",
    "print(\"White defendants: %.2f%%\" % (2103 / 6172 * 100))\n",
    "print(\"Hispanic defendants: %.2f%%\" % (509 / 6172 * 100))\n",
    "print(\"Asian defendants: %.2f%%\" % (31 / 6172 * 100))\n",
    "print(\"Native American defendants: %.2f%%\" % (11 / 6172 * 100))\n",
    "print(\"---\")\n",
    "print(\"Defendants of other race: %.2f%%\" % (343 / 6172 * 100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Low       3421\n",
       "Medium    1607\n",
       "High      1144\n",
       "Name: score_text, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "compas.score_text.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "F    3970\n",
       "M    2202\n",
       "Name: c_charge_degree, dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "compas.c_charge_degree.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.001, 0.5]    2085\n",
       "(0.5, 5.5]       2866\n",
       "(5.5, 10.5]       729\n",
       "(10.5, 20.5]      402\n",
       "(20.5, 40.5]       90\n",
       "Name: priors_count, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "compas.priors_count.value_counts(\n",
    "    sort=False, bins=[0, 0.5, 5.5, 10.5, 20.5, 40.5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "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>race</th>\n",
       "      <th>African-American</th>\n",
       "      <th>Asian</th>\n",
       "      <th>Caucasian</th>\n",
       "      <th>Hispanic</th>\n",
       "      <th>Native American</th>\n",
       "      <th>Other</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sex</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>Female</th>\n",
       "      <td>549</td>\n",
       "      <td>2</td>\n",
       "      <td>482</td>\n",
       "      <td>82</td>\n",
       "      <td>2</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>2626</td>\n",
       "      <td>29</td>\n",