Sample Notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ecd9a2de-025a-4339-856f-3cbfb7b56ae8",
   "metadata": {},
   "source": [
    "# We don’t need no labels - Sample notebook \n",
    "\n",
    "In this notebook we are showing how one can use the folktables data and our implementations of the performance estimation methods to re-produce our results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "cb196121-34f4-4f37-8e8e-d9005f4b4076",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import nannyml as nml\n",
    "import matplotlib.pyplot as plt\n",
    "from create_datasets.create import create_employment_dataset\n",
    "from estimation_methods.constant import CONSTANT\n",
    "from estimation_methods.rt import ReverseTraining\n",
    "from estimation_methods.atc import ATC\n",
    "from estimation_methods.iw import ImportanceWeighting\n",
    "from estimation_methods.doc import DOC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "bc527851-93c1-4e9f-a5a1-1a83b4f95e94",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "\n",
    "warnings.simplefilter(action=\"ignore\", category=UserWarning)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28a11202-20cf-423d-baeb-72742b3c2119",
   "metadata": {},
   "source": [
    "## Preparation\n",
    "\n",
    "### Load dataset and split into reference and analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f9c4e114-41d7-4386-b493-20fec2e647b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LogisticRegression\n",
      "LGBMClassifier\n",
      "RandomForestClassifier\n",
      "Storing: employment-2015_2016_2017_2018-CO.csv\n"
     ]
    }
   ],
   "source": [
    "create_employment_dataset([\"CO\"], 2015)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "57233d54-77f2-44d0-91a5-d3075fe6448d",
   "metadata": {},
   "outputs": [
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       "      <th></th>\n",
       "      <th>AGEP</th>\n",
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       "      <th>MAR</th>\n",
       "      <th>RELP</th>\n",
       "      <th>DIS</th>\n",
       "      <th>ESP</th>\n",
       "      <th>CIT</th>\n",
       "      <th>MIG</th>\n",
       "      <th>MIL</th>\n",
       "      <th>ANC</th>\n",
       "      <th>...</th>\n",
       "      <th>SEX</th>\n",
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       "      <th>LogisticRegression_y_pred</th>\n",
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       "      <th>LGBMClassifier_y_pred</th>\n",
       "      <th>LGBMClassifier_y_pred_proba</th>\n",
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       "      <td>train</td>\n",
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       "      <td>0</td>\n",
       "      <td>0.377704</td>\n",
       "      <td>train</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>67.0</td>\n",
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       "      <td>train</td>\n",
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       "<p>5 rows × 24 columns</p>\n",
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       "   AGEP  SCHL  MAR  RELP  DIS  ESP  CIT  MIG  MIL  ANC  ...  SEX  RAC1P  \\\n",
       "0  31.0  19.0  1.0   0.0  2.0  0.0  1.0  1.0  4.0  1.0  ...  1.0    1.0   \n",
       "1  28.0  19.0  1.0   1.0  2.0  0.0  1.0  1.0  4.0  1.0  ...  2.0    1.0   \n",
       "2  67.0  22.0  1.0   0.0  2.0  0.0  1.0  1.0  4.0  2.0  ...  2.0    1.0   \n",
       "3  67.0  21.0  1.0   1.0  2.0  0.0  1.0  1.0  4.0  1.0  ...  1.0    1.0   \n",
       "4  21.0  16.0  5.0  17.0  2.0  0.0  1.0  1.0  1.0  2.0  ...  1.0    1.0   \n",
       "\n",
       "   y_true  LogisticRegression_y_pred  LogisticRegression_y_pred_proba  \\\n",
       "0       1                          1                         0.928497   \n",
       "1       1                          1                         0.870975   \n",
       "2       0                          1                         0.532231   \n",
       "3       0                          1                         0.606427   \n",
       "4       0                          0                         0.007188   \n",
       "\n",
       "   LGBMClassifier_y_pred  LGBMClassifier_y_pred_proba  \\\n",
       "0                      1                     0.930547   \n",
       "1                      1                     0.624340   \n",
       "2                      0                     0.285812   \n",
       "3                      0                     0.457403   \n",
       "4                      0                     0.021834   \n",
       "\n",
       "   RandomForestClassifier_y_pred  RandomForestClassifier_y_pred_proba  \\\n",
       "0                              1                             0.753286   \n",
       "1                              1                             0.667111   \n",
       "2                              0                             0.377704   \n",
       "3                              0                             0.377599   \n",
       "4                              0                             0.000000   \n",
       "\n",
       "   partition  \n",
       "0      train  \n",
       "1      train  \n",
       "2      train  \n",
       "3      train  \n",
       "4      train  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv(\"datasets/employment-2015_2016_2017_2018-CO.csv\")\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8054b797-e80a-445b-9c8b-b9d8e1530f2f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['AGEP',\n",
       " 'SCHL',\n",
       " 'MAR',\n",
       " 'RELP',\n",
       " 'DIS',\n",
       " 'ESP',\n",
       " 'CIT',\n",
       " 'MIG',\n",
       " 'MIL',\n",
       " 'ANC',\n",
       " 'NATIVITY',\n",
       " 'DEAR',\n",
       " 'DEYE',\n",
       " 'DREM',\n",
       " 'SEX',\n",
       " 'RAC1P',\n",
       " 'y_true',\n",
       " 'LogisticRegression_y_pred',\n",
       " 'LogisticRegression_y_pred_proba',\n",
       " 'LGBMClassifier_y_pred',\n",
       " 'LGBMClassifier_y_pred_proba',\n",
       " 'RandomForestClassifier_y_pred',\n",
       " 'RandomForestClassifier_y_pred_proba',\n",
       " 'partition']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(data.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c43a0610-7657-40c1-8452-40194355f00f",
   "metadata": {},
   "outputs": [],
   "source": [
    "model_input_features = [\n",
    "    'AGEP',\n",
    "    'SCHL',\n",
    "    'MAR',\n",
    "    'RELP',\n",
    "    'DIS',\n",
    "    'ESP',\n",
    "    'CIT',\n",
    "    'MIG',\n",
    "    'MIL',\n",
    "    'ANC',\n",
    "    'NATIVITY',\n",
    "    'DEAR',\n",
    "    'DEYE',\n",
    "    'DREM',\n",
    "    'SEX',\n",
    "    'RAC1P',\n",
    "]\n",
    "# dataset has outputs from 3 trained models, we pick one to use\n",
    "model_scores = \"RandomForestClassifier_y_pred_proba\"\n",
    "model_predictions = \"RandomForestClassifier_y_pred\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ee1f3591-4613-44e0-89b2-4047c66abc3d",
   "metadata": {},
   "outputs": [
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       "      <td>2.0</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
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       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
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       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.637833</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54568</th>\n",
       "      <td>38.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.880000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54569</th>\n",
       "      <td>64.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.290000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54570</th>\n",
       "      <td>70.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.070000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>54571 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       AGEP  SCHL  MAR  RELP  DIS  ESP  CIT  MIG  MIL  ANC  NATIVITY  DEAR  \\\n",
       "0      37.0  21.0  1.0   0.0  2.0  0.0  1.0  3.0  4.0  4.0       1.0   2.0   \n",
       "1      43.0  23.0  1.0   1.0  2.0  0.0  4.0  3.0  4.0  4.0       2.0   2.0   \n",
       "2       4.0   2.0  5.0   2.0  2.0  1.0  1.0  3.0  0.0  4.0       1.0   2.0   \n",
       "3       1.0   0.0  5.0   2.0  2.0  1.0  1.0  3.0  0.0  4.0       1.0   2.0   \n",
       "4      68.0  18.0  1.0   0.0  2.0  0.0  1.0  1.0  2.0  1.0       1.0   2.0   \n",
       "...     ...   ...  ...   ...  ...  ...  ...  ...  ...  ...       ...   ...   \n",
       "54566  66.0  17.0  3.0   0.0  2.0  0.0  1.0  1.0  3.0  4.0       1.0   2.0   \n",
       "54567  40.0  21.0  1.0   0.0  2.0  0.0  1.0  3.0  4.0  2.0       1.0   2.0   \n",
       "54568  38.0  16.0  1.0   1.0  2.0  0.0  1.0  3.0  4.0  2.0       1.0   2.0   \n",
       "54569  64.0  16.0  2.0   0.0  2.0  0.0  1.0  1.0  3.0  1.0       1.0   2.0   \n",
       "54570  70.0  16.0  2.0  10.0  2.0  0.0  1.0  3.0  2.0  1.0       1.0   2.0   \n",
       "\n",
       "       DEYE  DREM  SEX  RAC1P  RandomForestClassifier_y_pred_proba  \\\n",
       "0       2.0   2.0  2.0    1.0                             0.980000   \n",
       "1       2.0   2.0  1.0    6.0                             0.910000   \n",
       "2       2.0   0.0  2.0    6.0                             0.000000   \n",
       "3       2.0   0.0  1.0    6.0                             0.000000   \n",
       "4       2.0   2.0  1.0    1.0                             0.075595   \n",
       "...     ...   ...  ...    ...                                  ...   \n",
       "54566   2.0   2.0  1.0    1.0                             0.471786   \n",
       "54567   2.0   2.0  2.0    1.0                             0.637833   \n",
       "54568   2.0   2.0  1.0    1.0                             0.880000   \n",
       "54569   2.0   2.0  1.0    1.0                             0.290000   \n",
       "54570   2.0   2.0  1.0    1.0                             0.070000   \n",
       "\n",
       "       RandomForestClassifier_y_pred  y_true  \n",
       "0                                  1       1  \n",
       "1                                  1       1  \n",
       "2                                  0       0  \n",
       "3                                  0       0  \n",
       "4                                  0       0  \n",
       "...                              ...     ...  \n",
       "54566                              0       1  \n",
       "54567                              1       1  \n",
       "54568                              1       1  \n",
       "54569                              0       1  \n",
       "54570                              0       0  \n",
       "\n",
       "[54571 rows x 19 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reference = data.loc[data.partition == \"reference\"][model_input_features + [model_scores, model_predictions, 'y_true']].reset_index(drop=True)\n",
    "reference"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "fa4cf15b-b605-4332-94bb-4bbb7b5349c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AGEP</th>\n",
       "      <th>SCHL</th>\n",
       "      <th>MAR</th>\n",
       "      <th>RELP</th>\n",
       "      <th>DIS</th>\n",
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       "      <th>DEYE</th>\n",
       "      <th>DREM</th>\n",
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       "      <th>RandomForestClassifier_y_pred_proba</th>\n",
       "      <th>RandomForestClassifier_y_pred</th>\n",
       "      <th>y_true</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <td>34.0</td>\n",
       "      <td>23.0</td>\n",
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       "      <th>1</th>\n",
       "      <td>38.0</td>\n",
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       "      <th>2</th>\n",
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       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>26.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>2.0</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
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       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
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       "      <td>1.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>74.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.074464</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>111523</th>\n",
       "      <td>39.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111524</th>\n",
       "      <td>39.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.941667</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111525</th>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>111526</th>\n",
       "      <td>5.0</td>\n",
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       "      <td>2.0</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111527</th>\n",
       "      <td>55.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
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       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.940000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>111528 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        AGEP  SCHL  MAR  RELP  DIS  ESP  CIT  MIG  MIL  ANC  NATIVITY  DEAR  \\\n",
       "0       34.0  23.0  1.0   0.0  2.0  0.0  1.0  1.0  4.0  2.0       1.0   2.0   \n",
       "1       38.0  22.0  1.0   1.0  2.0  0.0  1.0  1.0  4.0  1.0       1.0   2.0   \n",
       "2       28.0  21.0  5.0   0.0  2.0  0.0  1.0  1.0  4.0  2.0       1.0   2.0   \n",
       "3       26.0  21.0  5.0  13.0  2.0  0.0  1.0  1.0  4.0  2.0       1.0   2.0   \n",
       "4       74.0  21.0  1.0   0.0  2.0  0.0  1.0  1.0  2.0  2.0       1.0   2.0   \n",
       "...      ...   ...  ...   ...  ...  ...  ...  ...  ...  ...       ...   ...   \n",
       "111523  39.0  22.0  1.0   0.0  2.0  0.0  4.0  1.0  4.0  1.0       2.0   2.0   \n",
       "111524  39.0  24.0  1.0   1.0  2.0  0.0  4.0  1.0  4.0  1.0       2.0   2.0   \n",
       "111525   7.0   4.0  5.0   2.0  2.0  1.0  1.0  1.0  0.0  1.0       1.0   2.0   \n",
       "111526   5.0   3.0  5.0   2.0  2.0  1.0  1.0  1.0  0.0  1.0       1.0   2.0   \n",
       "111527  55.0  20.0  3.0   0.0  2.0  0.0  1.0  1.0  2.0  1.0       1.0   2.0   \n",
       "\n",
       "        DEYE  DREM  SEX  RAC1P  RandomForestClassifier_y_pred_proba  \\\n",
       "0        2.0   2.0  2.0    1.0                             0.873167   \n",
       "1        2.0   2.0  1.0    1.0                             1.000000   \n",
       "2        2.0   2.0  1.0    1.0                             1.000000   \n",
       "3        2.0   2.0  2.0    1.0                             1.000000   \n",
       "4        2.0   2.0  1.0    1.0                             0.074464   \n",
       "...      ...   ...  ...    ...                                  ...   \n",
       "111523   2.0   2.0  1.0    6.0                             0.990000   \n",
       "111524   2.0   2.0  2.0    6.0                             0.941667   \n",
       "111525   2.0   2.0  1.0    6.0                             0.000000   \n",
       "111526   2.0   2.0  1.0    6.0                             0.000000   \n",
       "111527   2.0   2.0  1.0    1.0                             0.940000   \n",
       "\n",
       "        RandomForestClassifier_y_pred  y_true  \n",
       "0                                   1       1  \n",
       "1                                   1       1  \n",
       "2                                   1       1  \n",
       "3                                   1       1  \n",
       "4                                   0       0  \n",
       "...                               ...     ...  \n",
       "111523                              1       1  \n",
       "111524                              1       1  \n",
       "111525                              0       0  \n",
       "111526                              0       0  \n",
       "111527                              1       1  \n",
       "\n",
       "[111528 rows x 19 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "analysis = data.loc[data.partition == \"analysis\"][model_input_features + [model_scores, model_predictions, 'y_true']].reset_index(drop=True)\n",
    "analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f0f71ee1-d1f8-4184-b8df-9c1c742e52c9",
   "metadata": {},
   "source": [
    "### Compute realized performance for reference"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2c643008-e037-4e5a-9011-3b6226b879ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "perf = nml.PerformanceCalculator(\n",
    "    y_pred_proba=model_scores,\n",
    "    y_pred=model_predictions,\n",
    "    y_true='y_true',\n",
    "    problem_type='classification_binary',\n",
    "    metrics=['roc_auc', 'f1', 'accuracy'],\n",
    "    chunk_size=2000\n",
    ")\n",
    "perf.fit(reference)\n",
    "perf_results = perf.calculate(analysis)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6adbb113-d318-41e3-8e8d-6eed2482110a",
   "metadata": {},
   "outputs": [
    {
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       "      <th colspan=\"2\" halign=\"left\">roc_auc</th>\n",
       "      <th>...</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.003991</td>\n",
       "      <td>0.876215</td>\n",
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       "      <td>0.791124</td>\n",
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       "<p>5 rows × 23 columns</p>\n",
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      ],
      "text/plain": [
       "         chunk                                                        \\\n",
       "           key chunk_index start_index end_index start_date end_date   \n",
       "0     [0:1999]           0           0      1999       None     None   \n",
       "1  [2000:3999]           1        2000      3999       None     None   \n",
       "2  [4000:5999]           2        4000      5999       None     None   \n",
       "3  [6000:7999]           3        6000      7999       None     None   \n",
       "4  [8000:9999]           4        8000      9999       None     None   \n",
       "\n",
       "                                        roc_auc            ...             f1  \\\n",
       "     period targets_missing_rate sampling_error     value  ... sampling_error   \n",
       "0  analysis                  0.0       0.003991  0.873331  ...       0.016465   \n",
       "1  analysis                  0.0       0.003991  0.880279  ...       0.016465   \n",
       "2  analysis                  0.0       0.003991  0.876215  ...       0.016465   \n",
       "3  analysis                  0.0       0.003991  0.874209  ...       0.016465   \n",
       "4  analysis                  0.0       0.003991  0.872951  ...       0.016465   \n",
       "\n",
       "                                                         accuracy          \\\n",
       "      value upper_threshold lower_threshold  alert sampling_error   value   \n",
       "0  0.787500        0.834062        0.761293  False       0.008949  0.7790   \n",
       "1  0.806731        0.834062        0.761293  False       0.008949  0.7990   \n",
       "2  0.791124        0.834062        0.761293  False       0.008949  0.7835   \n",
       "3  0.813638        0.834062        0.761293  False       0.008949  0.8005   \n",
       "4  0.809862        0.834062        0.761293  False       0.008949  0.7995   \n",
       "\n",
       "                                          \n",
       "  upper_threshold lower_threshold  alert  \n",
       "0         0.83162        0.767925  False  \n",
       "1         0.83162        0.767925  False  \n",
       "2         0.83162        0.767925  False  \n",
       "3         0.83162        0.767925  False  \n",
       "4         0.83162        0.767925  False  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "perf_results.filter(period='analysis').to_df().head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7798c307-d46a-4ff5-9252-a19dda0d4b57",
   "metadata": {},
   "source": [
    "## Use Performance Estimation Methods\n",
    "\n",
    "### Performance Estimation with Constant Baseline\n",
    "\n",
    "We first use nannyml [chunker](https://nannyml.readthedocs.io/en/stable/tutorials/chunking.html) to split the data for all performance estimation methods."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "8fb953b6-8862-491e-a837-c229f7172e83",
   "metadata": {},
   "outputs": [],
   "source": [
    "chunker = nml.SizeBasedChunker(chunk_size=2_000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0a24603d-6d89-4f2c-ae99-08eec36df1ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "analysis_chunks = chunker.split(analysis)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "249d8540-d671-4631-920c-cff2ae8d3b98",
   "metadata": {},
   "outputs": [],
   "source": [
    "calc1 = CONSTANT(\n",
    "    y_pred_proba=model_scores,\n",
    "    y_pred=model_predictions,\n",
    "    y_true='y_true',\n",
    "    metric='accuracy', # we need to specify one metric\n",
    ")\n",
    "calc1.fit(reference)\n",
    "estimation_results_constant = []\n",
    "for chunk in analysis_chunks:\n",
    "    estimation_results_constant.append(\n",
    "        calc1.estimate(chunk.data)\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "42ae6981-c96d-4a63-9a4e-0f69cfa8bd6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# let's get realized accuracy\n",
    "results_realized_performance = list(perf_results.filter(period='analysis').to_df()[('accuracy','value')])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "644614c7-9abc-4304-879e-b4e06a15dc9b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "title_text = \"Estimating Accuracy on CO employment data\"\n",
    "plt.title(title_text)\n",
    "plt.plot(results_realized_performance, label='true_performance')\n",
    "plt.plot(estimation_results_constant, label='CONSTANT')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15b63832-58a8-4c21-b270-98a0484fd927",
   "metadata": {},
   "source": [
    "### Performance Estimation with ATC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "22fdd414-35b6-408d-8fbf-63ba4d7bc240",
   "metadata": {},
   "outputs": [],
   "source": [
    "calc2 = ATC(\n",
    "    y_pred_proba=model_scores,\n",
    "    y_pred=model_predictions,\n",
    "    y_true='y_true',\n",
    "    metric='accuracy', # we need to specify one metric\n",
    ")\n",
    "calc2.fit(reference)\n",
    "estimation_results_atc = []\n",
    "for chunk in analysis_chunks:\n",
    "    estimation_results_atc.append(\n",
    "        calc2.estimate(chunk.data)\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "ac32ab79-0cc2-4fee-9960-7522bfe6082d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title(title_text)\n",
    "plt.plot(results_realized_performance, label='true_performance')\n",
    "plt.plot(estimation_results_constant, label='CONSTANT')\n",
    "plt.plot(estimation_results_atc, label='ATC')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a57606d8-7020-415d-8a2b-9d42250034c4",
   "metadata": {},
   "source": [
    "### Performance Estimation with DOC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "cf872f06-85dc-40a5-8620-ed1d4f944bbd",
   "metadata": {},
   "outputs": [],
   "source": [
    "calc3 = DOC(\n",
    "    y_pred_proba=model_scores,\n",
    "    y_pred=model_predictions,\n",
    "    y_true='y_true',\n",
    "    metric='accuracy', # we need to specify one metric\n",
    "    features = model_input_features,\n",
    "    sample_size=2_000\n",
    ")\n",
    "calc3.fit(reference)\n",
    "estimation_results_doc = []\n",
    "for chunk in analysis_chunks:\n",
    "    estimation_results_doc.append(\n",
    "        calc2.estimate(chunk.data)\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "947fe82b-76e9-4c0a-8ea2-c7348631af84",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title(title_text)\n",
    "plt.plot(results_realized_performance, label='true_performance')\n",
    "plt.plot(estimation_results_constant, label='CONSTANT')\n",
    "plt.plot(estimation_results_doc, label='DoC')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e0edc98-cec2-43b5-a7d4-bcbb183fdb18",
   "metadata": {},
   "source": [
    "### Performance Estimation with Reverse Testing (RT)\n",
    "\n",
    "Note that as we said in the paper, we are modifying the RT prediction so that on reference the average of RT-mod predictions equal total performance on reference.\n",
    "\n",
    "Here we are demonstrating the use of the pure RT implementation in order to demonstrate the use of the provided `ReverseTraining` implementation.<br>\n",
    "It's results can be adjust to that of RT-mod by simply subtracting the appropriate value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "6b8acc21-1044-4f77-a41e-56531397135f",
   "metadata": {},
   "outputs": [],
   "source": [
    "calc4 = ReverseTraining(\n",
    "    y_pred_proba=model_scores,\n",
    "    y_pred=model_predictions,\n",
    "    y_true='y_true',\n",
    "    metrics =['accuracy'],\n",
    "    cont_features = ['AGEP'],\n",
    "    cat_features = [\n",
    "        'SCHL',\n",
    "        'MAR',\n",
    "        'RELP',\n",
    "        'DIS',\n",
    "        'ESP',\n",
    "        'CIT',\n",
    "        'MIG',\n",
    "        'MIL',\n",
    "        'ANC',\n",
    "        'NATIVITY',\n",
    "        'DEAR',\n",
    "        'DEYE',\n",
    "        'DREM',\n",
    "        'SEX',\n",
    "        'RAC1P'\n",
    "    ]\n",
    ")\n",
    "calc4.fit(reference)\n",
    "estimation_results_rt = []\n",
    "for chunk in analysis_chunks:\n",
    "    estimation_results_rt.append(\n",
    "        calc4.estimate(chunk.data)\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "62ac1895-c190-4fb4-92e5-f28947b513cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title(title_text)\n",
    "plt.plot(results_realized_performance, label='true_performance')\n",
    "plt.plot(estimation_results_constant, label='CONSTANT')\n",
    "plt.plot(estimation_results_rt, label='Reverse Testing')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "703ac569-b757-4394-90c2-92091ea26aeb",
   "metadata": {},
   "source": [
    "### Performance Estimation with Importance Weighting (IW)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "0c1ca82d-eca1-4270-bc36-e71887364a1a",
   "metadata": {},
   "outputs": [],
   "source": [
    "calc5 = ImportanceWeighting(\n",
    "    y_pred_proba=model_scores,\n",
    "    y_pred=model_predictions,\n",
    "    y_true='y_true',\n",
    "    metrics =['accuracy'],\n",
    "    cont_features = ['AGEP'],\n",
    "    cat_features = [\n",
    "        'SCHL',\n",
    "        'MAR',\n",
    "        'RELP',\n",
    "        'DIS',\n",
    "        'ESP',\n",
    "        'CIT',\n",
    "        'MIG',\n",
    "        'MIL',\n",
    "        'ANC',\n",
    "        'NATIVITY',\n",
    "        'DEAR',\n",
    "        'DEYE',\n",
    "        'DREM',\n",
    "        'SEX',\n",
    "        'RAC1P'\n",
    "    ]\n",
    ")\n",
    "calc5.fit(reference)\n",
    "estimation_results_iw = []\n",
    "for chunk in analysis_chunks:\n",
    "    estimation_results_iw.append(\n",
    "        calc5.estimate(chunk.data)\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "dbccb0d8-ff78-42fa-b6c4-652d1eb686f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title(title_text)\n",
    "plt.plot(results_realized_performance, label='true_performance')\n",
    "plt.plot(estimation_results_constant, label='CONSTANT')\n",
    "plt.plot(estimation_results_iw, label='Importance Weighting')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12cfdfc0-f787-4b25-b132-d4a262d368aa",
   "metadata": {},
   "source": [
    "### Performance Estimation with CBPE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "8ce6b9f8-39cf-4a48-86bb-0b1f8ffe8660",
   "metadata": {},
   "outputs": [],
   "source": [
    "calc6 = nml.CBPE(\n",
    "    y_pred_proba=model_scores,\n",
    "    y_pred=model_predictions,\n",
    "    y_true='y_true',\n",
    "    metrics =['accuracy'],\n",
    "    problem_type='classification_binary',\n",
    "    chunker=chunker,\n",
    ")\n",
    "calc6.fit(reference)\n",
    "results6 = calc6.estimate(analysis)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "143f8d47-c288-4235-bbec-782677857692",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "estimation_results_cbpe = list(\n",
    "    results6.filter(period='analysis').to_df()[('accuracy', 'value')]\n",
    ")\n",
    "\n",
    "plt.title(title_text)\n",
    "plt.plot(results_realized_performance, label='true_performance')\n",
    "plt.plot(estimation_results_constant, label='CONSTANT')\n",
    "plt.plot(estimation_results_cbpe, label='Importance Weighting')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9f536df-a107-4b7d-8aa1-434c97d0de9d",
   "metadata": {},
   "source": [
    "Finally please note that while de describe M-CBPE in the paper we are not releasing an implementation here.<br>\n",
    "It is available in the sagemaker marketplace and usage instruction can be found [here](https://github.com/NannyML/sagemaker_docs_mcbpe/blob/main/notebooks/NannyML%20-%20MCBPE%20-%20Algorithm.ipynb). The subscription has a free 7 day trial period.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5e6f6cd5-a0f0-430e-a8ef-8ecc58b9067b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}