evaluation_tutorial_german_credit.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5bdffcc8-842f-4153-97aa-952c9075610c",
   "metadata": {},
   "source": [
    "<h3>Tutorial notebook for:</h3>\n",
    "\n",
    " - Loading selected datasets and models\n",
    " - Generating Global Counterfactual Explanations (GCEs) with GLOBE-CE and AReS\n",
    " - Comparing results"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "409fc7a1-c895-4ec3-b515-36d9070bd04c",
   "metadata": {},
   "source": [
    "# Preamble"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6f18f17c-e89f-442a-979e-ed2c6bed3b37",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import urllib.request\n",
    "from os import path\n",
    "import time\n",
    "import copy\n",
    "from tqdm import tqdm\n",
    "import pickle\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3923ad19-e789-4e6d-97b8-52c5d6a54ea2",
   "metadata": {},
   "outputs": [],
   "source": [
    "def bold(string):\n",
    "    return '\\033[1m' + string + '\\033[0m'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84aae0f2-25e1-4abd-b42b-ca4ac548432c",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Select Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "668e16d4-7812-471a-9a3b-14e310010a63",
   "metadata": {},
   "outputs": [],
   "source": [
    "from datasets import dataset_loader"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "64a59d14-679b-4a7f-8d6c-39fc3d4bd78a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "name = 'german_credit'  # from compas, german_credit, default_credit, adult_income, heloc\n",
    "dropped_features = []\n",
    "dataset = dataset_loader(name, dropped_features=dropped_features, n_bins=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a54a1db9-75d1-4f83-bc27-8be3745848c7",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true,
    "tags": []
   },
   "source": [
    "<strong> Do not normalise input data (GLOBE-CE will handle it) </strong>\n",
    "\n",
    "<strong> Do not shuffle input data (ensures same train/test split and normalisation values) </strong>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ab2bbdc4-a3c0-44bd-b2dc-8448a07b054b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1mProportion of 1s in Training Data:\u001b[0m 70.12%\n"
     ]
    }
   ],
   "source": [
    "x_train, y_train, x_test, y_test, x_means, x_std = dataset.get_split(normalise=False, shuffle=False,\n",
    "                                                                     return_mean_std=True)\n",
    "prop1s = round(np.average(y_train)*100, 2)\n",
    "print(bold(\"Proportion of 1s in Training Data:\") + \" {}%\".format(prop1s))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d3a84571-73e2-4474-a223-2301ad6337db",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1mDataset:\u001b[0m German Credit\n",
      "\n"
     ]
    },
    {
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       "<p>800 rows × 71 columns</p>\n",
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      ],
      "text/plain": [
       "     Existing-Account-Status = A11  Existing-Account-Status = A12  \\\n",
       "0                                1                              0   \n",
       "1                                0                              1   \n",
       "2                                0                              0   \n",
       "3                                1                              0   \n",
       "4                                1                              0   \n",
       "..                             ...                            ...   \n",
       "795                              0                              0   \n",
       "796                              1                              0   \n",
       "797                              0                              0   \n",
       "798                              0                              0   \n",
       "799                              0                              1   \n",
       "\n",
       "     Existing-Account-Status = A13  Existing-Account-Status = A14  \\\n",
       "0                                0                              0   \n",
       "1                                0                              0   \n",
       "2                                0                              1   \n",
       "3                                0                              0   \n",
       "4                                0                              0   \n",
       "..                             ...                            ...   \n",
       "795                              0                              1   \n",
       "796                              0                              0   \n",
       "797                              0                              1   \n",
       "798                              0                              1   \n",
       "799                              0                              0   \n",
       "\n",
       "     Month-Duration  Credit-History = A30  Credit-History = A31  \\\n",
       "0                 6                     0                     0   \n",
       "1                48                     0                     0   \n",
       "2                12                     0                     0   \n",
       "3                42                     0                     0   \n",
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       "..              ...                   ...                   ...   \n",
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       "797              12                     0                     0   \n",
       "798              24                     0                     0   \n",
       "799               9                     0                     0   \n",
       "\n",
       "     Credit-History = A32  Credit-History = A33  Credit-History = A34  ...  \\\n",
       "0                       0                     0                     1  ...   \n",
       "1                       1                     0                     0  ...   \n",
       "2                       0                     0                     1  ...   \n",
       "3                       1                     0                     0  ...   \n",
       "4                       0                     1                     0  ...   \n",
       "..                    ...                   ...                   ...  ...   \n",
       "795                     1                     0                     0  ...   \n",
       "796                     1                     0                     0  ...   \n",
       "797                     0                     0                     1  ...   \n",
       "798                     0                     1                     0  ...   \n",
       "799                     1                     0                     0  ...   \n",
       "\n",
       "     Job = A171  Job = A172  Job = A173  Job = A174  Num-People = 1  \\\n",
       "0             0           0           1           0               1   \n",
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       "799           1           0           0           0               1   \n",
       "\n",
       "     Num-People = 2  Telephone = A191  Telephone = A192  \\\n",
       "0                 0                 0                 1   \n",
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       "..              ...               ...               ...   \n",
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       "\n",
       "     Foreign-Worker = A201  Foreign-Worker = A202  \n",
       "0                        1                      0  \n",
       "1                        1                      0  \n",
       "2                        1                      0  \n",
       "3                        1                      0  \n",
       "4                        1                      0  \n",
       "..                     ...                    ...  \n",
       "795                      1                      0  \n",
       "796                      1                      0  \n",
       "797                      1                      0  \n",
       "798                      1                      0  \n",
       "799                      1                      0  \n",
       "\n",
       "[800 rows x 71 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = pd.DataFrame(x_train)\n",
    "X.columns = dataset.features[:-1]\n",
    "X_test = pd.DataFrame(x_test)\n",
    "X_test.columns = dataset.features[:-1]\n",
    "print(bold(\"Dataset:\") + \" {}\\n\".format(name.replace('_', ' ').title()))\n",
    "X"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a576fe5-3f15-424b-b48f-22e7311de79f",
   "metadata": {},
   "source": [
    "# Select Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "60eb4d1a-218f-4bd9-8691-4a901a34ea56",
   "metadata": {},
   "outputs": [],
   "source": [
    "from models import performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e3a3f85b-dc48-4af9-b5f5-e97848da9712",
   "metadata": {},
   "outputs": [],
   "source": [
    "B_name = 'lr'  # or 'lr' or 'xgb'\n",
    "if B_name == 'dnn':\n",
    "    from models import dnn_normalisers as normalisers\n",
    "elif B_name == 'lr':\n",
    "    from models import lr_normalisers as normalisers\n",
    "else:  # no xgb normalisation\n",
    "    normalisers = {name: False}\n",
    "with open('models/{}_{}.pkl'.format(name, B_name), 'rb') as f:\n",
    "    B = pickle.load(f)\n",
    "normalise = [x_means, x_stds] if normalisers[name] else None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5007ef24-d369-40cd-9fef-dd22a54bec46",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1mDataset:\u001b[0m German Credit\n",
      "\u001b[1mModel:\u001b[0m LR\n",
      "\n",
      "\u001b[1mTrain Accuracy:\u001b[0m 78.88%\n",
      "\u001b[1mTest Accuracy:\u001b[0m 75.5%\n",
      "\u001b[1mProportion of 1s Predicted (Train):\u001b[0m 77.5%\n",
      "\u001b[1mProportion of 1s Predicted (Test):\u001b[0m 71.0%\n"
     ]
    }
   ],
   "source": [
    "print(bold(\"Dataset:\") + \" {}\".format(name.replace('_', ' ').title()))\n",
    "print(bold(\"Model:\") + \" {}\\n\".format(B_name.replace('_', ' ').upper()))\n",
    "performance(B, x_train, x_test, y_train, y_test, normalise=normalise)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "324bf63b-5fe1-44ad-827f-f7e4e4d889a6",
   "metadata": {},
   "source": [
    "# Global Evaluation Parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "id": "f46af76b-0169-4efc-b70c-1eb68d1a79fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "n_bins = 10\n",
    "ordinal_features = []\n",
    "dropped_features = []"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39d8bb7c-73fb-4926-b762-62b0ebf06344",
   "metadata": {},
   "source": [
    "# (Fast) AReS"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ad0504f-9d31-40dc-b969-9897cb14e3e2",
   "metadata": {},
   "source": [
    "<h3>Process:</h3>\n",
    "\n",
    " - <b>Import and initialise AReS</b>\n",
    " - <b>Generate itemsets</b>\n",
    "     - SD and RL (lower threshold gives larger sets)\n",
    "     - Or, for example, set affected_subgroup='Foreign-Worker=A201' (SD)\n",
    "     - RL will then be generated with the provided threshold\n",
    " - <b>Generate ground set</b>\n",
    "     - Lower performance with smaller SD and RL, but faster\n",
    "     - For Fast AReS, either:\n",
    "         - set RL_reduction=True\n",
    "         - OR set RL_reduction=False and then_generation=threshold\n",
    "     - a good then_generation threshold is the theoretical minimum, 1/|X|\n",
    "     - the threshold used to generate SD and RL would then have to be higher\n",
    "     - then_generation seems to perform better on continuous datasets\n",
    "     - combining RL_reduction with then_generation doesn't seem to perform well\n",
    " - <b>Evaluate ground set (for AReS, evaluate the whole ground set)</b>\n",
    "     - Set plot_accuracy=True\n",
    "     - Set save_mode=0 and try varying r (a good starting point is r=1000)\n",
    "     - Choose an optimal r value (normally once the accuracy plot plateaus)\n",
    "     - Set save_mode=1 or save_mode=2\n",
    "     - The former will save all r triples, the latter will only save the triples that increase the accuracy of the set as they are added i.e. the vertical blues lines in the accuracy plot)\n",
    "     - <b>WARNING:</b> This will overwrite the initially large ground set\n",
    " - <b>Select the best triples from the ground set</b>\n",
    " - <b>Optimise the ground set</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "id": "2b281d21-673a-478e-b2ff-e99bb3d8fe6b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from ares import Apriori, TwoLevelRecourseSet, AReS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "id": "714a5eb8-ea25-4c2d-9bfc-952c8557622f",
   "metadata": {},
   "outputs": [],
   "source": [
    "ares = AReS(model=B, dataset=dataset, X=X, dropped_features=dropped_features,\n",
    "            n_bins=n_bins, ordinal_features=ordinal_features,\n",
    "            normalise=normalisers[name], constraints=[20,7,10])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "id": "9b9fdc0f-420b-433d-874b-5ab78be3a242",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Computing Candidate Sets of Conjunctions of Predicates SD and RL\n",
      "Processing 2562 combinations | Sampling itemset size 64\n",
      "SD and RL Computed with Lengths 2598 and 2598\n",
      "Saving Copies of SD and RL as SD_copy and RL_copy\n"
     ]
    }
   ],
   "source": [
    "ares.generate_itemsets(apriori_threshold=0.16, max_width=None, # defaults to e2-1\n",
    "                       affected_subgroup=None, save_copy=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "id": "64d4fc95-f4bf-4de8-8dff-ba14044ae1db",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Computing Ground Set of Triples V\n",
      "Reducing RL\n",
      "RL Reduced from Size 2598 to 1199\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2598/2598 [01:19<00:00, 32.49it/s] "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ground Set Computed with Length 1263950\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "ares.generate_groundset(max_width=None, RL_reduction=True,\n",
    "                        then_generation=None, save_copy=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "id": "053ea069-6c4b-4bdf-9bbd-2012cf357c60",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "4999it [00:06, 746.35it/s]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lams = [1, 1000]  # can play around with these lambda values\n",
    "ares.evaluate_groundset(lams=lams, r=5000, save_mode=1,\n",
    "                        disable_tqdm=False, plot_accuracy=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "id": "ae6d4f0e-aadc-4ca4-988f-2a0be29d8bb2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Candidate Set Filtered with Length: 5000\n"
     ]
    }
   ],
   "source": [
    "# this selects the s best triples according to objective\n",
    "# can rerun- it's safe if you want to go back mid optimisation\n",
    "# now that the optimise function runs so quickly\n",
    "# you can probably just set s=r (the whole saved ground set)\n",
    "ares.select_groundset(s=5000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "id": "dea81957-996f-4229-b6fe-cfa89d46e5c5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Initialising Copy of Ground Set\n",
      "Ground Set Copied\n",
      "While there exists a delete/update operation, loop:\n",
      "Checking Delete\n",
      "Checking Add\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 4999/4999 [00:00<00:00, 98614.54it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Checking Exchange\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 4983/4983 [00:01<00:00, 2970.74it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Checking Delete\n",
      "Checking Add\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 4983/4983 [00:00<00:00, 305773.30it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Checking Exchange\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 4982/4982 [00:01<00:00, 3193.80it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Checking Delete\n",
      "Checking Add\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 4982/4982 [00:00<00:00, 296502.63it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Checking Exchange\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 4982/4982 [00:01<00:00, 3263.89it/s]\n",
      "17it [00:00, 851.76it/s]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ares.optimise_groundset(lams=lams, factor=1, print_updates=False,\n",
    "                        print_terms=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "id": "c2c4afc6-e681-4bc3-9d4a-bd5bb2186b3d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1mAccuracy:\u001b[0m 81.67%\n",
      "\u001b[1mAverage Cost:\u001b[0m 1.1\n",
      "\u001b[1m\n",
      "Accuracy Upper Bound (Evaluated/Sorted Ground Set):\u001b[0m 90.56%\n"
     ]
    }
   ],
   "source": [
    "print(bold(\"Accuracy:\") + \" {}%\".format(round(ares.R.accuracy, 2)))\n",
    "# only inputs with positive counterfactual predictions\n",
    "print(bold(\"Average Cost:\") + \" {}\".format(round(ares.R.average_cost, 2)))\n",
    "\n",
    "print(bold(\"\\nAccuracy Upper Bound (Evaluated/Sorted Ground Set):\")\n",
    "      + \" {}%\".format(round(ares.V.accuracy, 2)))\n",
    "\n",
    "costs_ares, corrects_ares = ares.accuracy_cost_bounds(ares.R.cost_vector)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "id": "5046a429-5a0e-4134-aa7e-ebadf36bfc0f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1mFinal 18 Triples Post-Optimisation\n",
      "\u001b[0m\n",
      "\u001b[1mIf\u001b[0m Foreign-Worker = A201, Installment = A143, Telephone = A191:\n",
      "\u001b[1m\t  If\u001b[0m Existing-Account-Status = A12, Housing = A152\n",
      "\u001b[1m\tThen\u001b[0m Existing-Account-Status = A14, Housing = A152\n",
      "\n",
      "\u001b[1mIf\u001b[0m Foreign-Worker = A201, Residence = 4:\n",
      "\u001b[1m\t  If\u001b[0m Existing-Account-Status = A12, Installment = A143\n",
      "\u001b[1m\tThen\u001b[0m Existing-Account-Status = A14, Installment = A143\n",
      "\n",
      "\u001b[1mIf\u001b[0m Housing = A152, Job = A173:\n",
      "\u001b[1m\t  If\u001b[0m Existing-Credits = 2, Foreign-Worker = A201, Num-People = 1, Savings-Account = A61\n",
      "\u001b[1m\tThen\u001b[0m Existing-Credits = 1, Foreign-Worker = A201, Num-People = 1, Savings-Account = A61\n",
      "\n",
      "\u001b[1mIf\u001b[0m Foreign-Worker = A201, Housing = A152:\n",
      "\u001b[1m\t  If\u001b[0m Existing-Credits = 2, Telephone = A191\n",
      "\u001b[1m\tThen\u001b[0m Existing-Credits = 1, Telephone = A192\n",
      "\n",
      "\u001b[1mIf\u001b[0m Foreign-Worker = A201, Housing = A152:\n",
      "\u001b[1m\t  If\u001b[0m Installment = A143, Residence = 2\n",
      "\u001b[1m\tThen\u001b[0m Installment = A143, Residence = 4\n",
      "\n",
      "\u001b[1mIf\u001b[0m Guarantors = A101, Sex = A93:\n",
      "\u001b[1m\t  If\u001b[0m Existing-Account-Status = A11, Foreign-Worker = A201, Savings-Account = A61\n",
      "\u001b[1m\tThen\u001b[0m Existing-Account-Status = A14, Foreign-Worker = A201, Savings-Account = A61\n",
      "\n",
      "\u001b[1mIf\u001b[0m Num-People = 1, Savings-Account = A61:\n",
      "\u001b[1m\t  If\u001b[0m Credit-History = A32, Guarantors = A101, Sex = A92\n",
      "\u001b[1m\tThen\u001b[0m Credit-History = A34, Guarantors = A101, Sex = A93\n",
      "\n",
      "\u001b[1mIf\u001b[0m Housing = A152, Num-People = 1, Sex = A93:\n",
      "\u001b[1m\t  If\u001b[0m Existing-Account-Status = A12, Foreign-Worker = A201\n",
      "\u001b[1m\tThen\u001b[0m Existing-Account-Status = A14, Foreign-Worker = A201\n",
      "\n",
      "\u001b[1mIf\u001b[0m Housing = A152, Job = A173:\n",
      "\u001b[1m\t  If\u001b[0m Age = (24.6, 30.2]\n",
      "\u001b[1m\tThen\u001b[0m Age = (35.8, 41.4]\n",
      "\n",
      "\u001b[1mIf\u001b[0m Existing-Credits = 1:\n",
      "\u001b[1m\t  If\u001b[0m Guarantors = A101, Instalment-Rate = 4\n",
      "\u001b[1m\tThen\u001b[0m Guarantors = A101, Instalment-Rate = 2\n",
      "\n",
      "\u001b[1mIf\u001b[0m Job = A173:\n",
      "\u001b[1m\t  If\u001b[0m Foreign-Worker = A201, Guarantors = A101, Num-People = 1, Sex = A92\n",
      "\u001b[1m\tThen\u001b[0m Foreign-Worker = A201, Guarantors = A101, Num-People = 1, Sex = A93\n",
      "\n",
      "\u001b[1mIf\u001b[0m Existing-Credits = 1:\n",
      "\u001b[1m\t  If\u001b[0m Credit-History = A32, Installment = A143, Telephone = A191\n",
      "\u001b[1m\tThen\u001b[0m Credit-History = A32, Installment = A143, Telephone = A192\n",
      "\n",
      "\u001b[1mIf\u001b[0m Num-People = 1, Telephone = A191:\n",
      "\u001b[1m\t  If\u001b[0m Property = A122\n",
      "\u001b[1m\tThen\u001b[0m Property = A123\n",
      "\n",
      "\u001b[1mIf\u001b[0m Job = A173:\n",
      "\u001b[1m\t  If\u001b[0m Credit-History = A32, Guarantors = A101, Sex = A92\n",
      "\u001b[1m\tThen\u001b[0m Credit-History = A34, Guarantors = A101, Sex = A93\n",
      "\n",
      "\u001b[1mIf\u001b[0m Num-People = 1, Telephone = A191:\n",
      "\u001b[1m\t  If\u001b[0m Guarantors = A101, Instalment-Rate = 4\n",
      "\u001b[1m\tThen\u001b[0m Guarantors = A101, Instalment-Rate = 2\n",
      "\n",
      "\u001b[1mIf\u001b[0m Foreign-Worker = A201, Installment = A143, Telephone = A191:\n",
      "\u001b[1m\t  If\u001b[0m Existing-Account-Status = A11\n",
      "\u001b[1m\tThen\u001b[0m Existing-Account-Status = A14\n",
      "\n",
      "\u001b[1mIf\u001b[0m Foreign-Worker = A201, Housing = A152:\n",
      "\u001b[1m\t  If\u001b[0m Existing-Account-Status = A12, Telephone = A191\n",
      "\u001b[1m\tThen\u001b[0m Existing-Account-Status = A14, Telephone = A192\n",
      "\n",
      "\u001b[1mIf\u001b[0m Job = A173:\n",
      "\u001b[1m\t  If\u001b[0m Credit-History = A32, Foreign-Worker = A201, Guarantors = A101\n",
      "\u001b[1m\tThen\u001b[0m Credit-History = A34, Foreign-Worker = A201, Guarantors = A101\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# clear the output to save space after running this cell\n",
    "print(bold(\"Final {} Triples Post-Optimisation\\n\".format(ares.R.length)))\n",
    "for triple in ares.R.triples:\n",
    "    outer_ifs, inner_ifs, thens = [sorted([j for j in triple[i]]) for i in range(3)]\n",
    "    print(bold(\"If\") + \" {}:\".format(', '.join(outer_ifs)))\n",
    "    print(bold(\"\\t  If\") + \" {}\".format(', '.join(inner_ifs)))\n",
    "    print(bold(\"\\tThen\") + \" {}\\n\".format(', '.join(thens)))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b24bf14-9d32-428d-95bc-4fe1577a0f55",
   "metadata": {},
   "source": [
    "# GLOBE-CE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 239,
   "id": "0c72d230-174a-44e7-a37c-e7e3aeaf4372",
   "metadata": {},
   "outputs": [],
   "source": [
    "from globe_ce import GLOBE_CE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "id": "87877940-4f08-4ebf-abee-4efa6a25bc83",
   "metadata": {},
   "outputs": [],
   "source": [
    "# AReS initiated to determine bin widths for costs- n_bins must be same as above\n",
    "ares_widths = AReS(model=B, dataset=dataset, X=X, n_bins=n_bins, normalise=normalise)\n",
    "bin_widths = ares_widths.bin_widths"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "id": "5e8512ff-6872-457f-8d4a-8dea2bd738fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# initialise GLOBE_CE\n",
    "globe_ce = GLOBE_CE(model=B, dataset=dataset, X=X, affected_subgroup=None,\n",
    "                    dropped_features=dropped_features, delta_init='zeros',\n",
    "                    ordinal_features=ordinal_features, normalise=normalise,\n",
    "                    bin_widths=bin_widths, monotonicity=None, p=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60e04167-10fb-4e2b-a4e5-234eb8b13018",
   "metadata": {},
   "source": [
    "### Sample random $\\delta$ vectors (translations)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "id": "1ef7c844-6c6e-416e-b802-578b6e3d415d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2000/2000 [00:00<00:00, 2002.80it/s]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2200x600 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# note that the Cumulative Rules Chart (CRC) is possibly more\n",
    "# intepretable without continuous features, and they also have\n",
    "# little impact on the GCEs in this case, so we drop them\n",
    "globe_ce.sample(n_sample=2000, magnitude=1, sparsity_power=5,  # magnitude is the fixed cost sampled at\n",
    "                idxs=None, n_features=5, disable_tqdm=False,\n",
    "                plot=True, seed=0, scheme='random',\n",
    "                dropped_features=globe_ce.continuous_features)\n",
    "delta = globe_ce.best_delta"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51716b44-d21d-49dc-a4e2-c5984d5f9af4",
   "metadata": {},
   "source": [
    "### Scale best $\\delta$ and Compute Minimum Costs/Scalars per Input"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "id": "09865cfb-7945-492d-9039-589e127fe6cb",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 1000/1000 [00:00<00:00, 2094.70it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1mUnable to find recourse for 9/180 inputs\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "corrects, costs, scalars = globe_ce.scale(delta=delta, vector=True, plot=True)\n",
    "min_costs = globe_ce.min_scalar_costs(costs=costs, return_idxs=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e31dc452-b2ba-4342-9ddb-ded05cd75a33",
   "metadata": {},
   "source": [
    "### Compute Best Average Costs given each Input uses its Minimum Scalar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "id": "426b91e4-145d-4819-b151-271158a4440c",
   "metadata": {},
   "outputs": [],
   "source": [
    "costs_bound, corrects_bound = globe_ce.accuracy_cost_bounds(min_costs)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1d58edc2-fa72-4280-bd06-f4c33f1df70c",
   "metadata": {},
   "source": [
    "### Cluster Scalars and Evaluate Rules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "id": "95d443ae-a06a-4238-ad86-d533b0d75b89",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1mCumulative Rules Chart:\u001b[0m\n",
      "\u001b[1m\n",
      " New Inputs:\t+86.11%\tNew Inputs Cost:\t1.0)\n",
      " Rules:\u001b[0m\t Existing-Account-Status: If Not A14, Then A14\n",
      "\u001b[1m(Accuracy:\t86.11%\tAverage Cost:\t\t1.0)\u001b[0m\n",
      "\u001b[1m\n",
      " New Inputs:\t+2.22%\tNew Inputs Cost:\t1.5)\n",
      " Rules:\u001b[0m\t Existing-Account-Status: If Not A14, Then A14\n",
      "\t Num-People: If 2, Then 1\n",
      "\u001b[1m(Accuracy:\t88.33%\tAverage Cost:\t\t1.01)\u001b[0m\n",
      "\u001b[1m\n",
      " New Inputs:\t+6.67%\tNew Inputs Cost:\t2.08)\n",
      " Rules:\u001b[0m\t Existing-Account-Status: If Not A14, Then A14\n",
      "\t Num-People: If 2, Then 1\n",
      "\t Foreign-Worker: If A201, Then A202\n",
      "\u001b[1m(Accuracy:\t95.0%\tAverage Cost:\t\t1.09)\u001b[0m\n",
      "\n",
      "\u001b[1mAccuracy:\t95.0%\n",
      "Average Cost:\t1.0877\n"
     ]
    }
   ],
   "source": [
    "# n_bins bins the magnitudes equally, so n_bins=5 may return just 3 scalars\n",
    "# (2 are duplicates i.e. different scalar but same rules)\n",
    "# look in the paper for vector of lower bounds- a better implementation would\n",
    "# just compute these values when working with categorical data\n",
    "max_scalar_idxs = globe_ce.cluster_by_costs(costs, n_bins=5)\n",
    "print(bold(\"Cumulative Rules Chart:\"))\n",
    "# can also produce a latex table with latex_table=True\n",
    "costs_cluster, corrects_cluster = globe_ce.evaluate_clustering(delta, scalars, max_scalar_idxs, costs=costs, vector=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "441d598c-9dfe-4c01-a6f9-48aa03b369fa",
   "metadata": {},
   "source": [
    "### Accuracy-Cost Profiles and Minimum Costs Histogram"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c163b007-0747-4ecf-acd1-2b1f89e4acdc",
   "metadata": {},
   "source": [
    " - Here, the <b>\"optimal\"</b> accuracy-cost profile is the one for which the minimum cost is used for each individual input. The plot is then built by sorting each input by minimum cost and adding each input one by one\n",
    "     - E.g. if the lowest cost (with correct recourse) was 1 in a group of 100 inputs, the first accuracy-cost plot point would be 1% accuracy at average cost 1. If the second and third lowest costs were also 1, the next points are 2% and 3% accuracy at average cost 1. If the fourth lowest cost was 2, the next point is 4% accuracy at average cost 1.25, etc, until the maximum accuracy is reached\n",
    " \n",
    " - The <b>\"clustered\"</b> profile is generated by selecting a limited number of scalars for which to evaluate recourses... may improve interpretability for categorical data though it's not reflective of the minimum costs per input"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "id": "ea274f1f-dc9a-479e-bc2f-f0e3a4bbd3f1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x800 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=1, ncols=2, dpi=200)\n",
    "fig.set_figwidth(10)\n",
    "ax[0].step(costs_bound, corrects_bound, where='post', label='Optimal')\n",
    "ax[0].step(costs_cluster, corrects_cluster, where='post', label='Clustered')\n",
    "ax[0].set_ylim([-5, 105])\n",
    "ax[0].set_title('Accuracy-Cost Profile')\n",
    "ax[0].set_xlabel('Average Cost')\n",
    "ax[0].set_ylabel('Accuracy (%)')\n",
    "ax[0].legend()\n",
    "ax[1].set_title('Minimum Costs Histogram')\n",
    "width = 0.1\n",
    "mins = min_costs[min_costs!=0]\n",
    "# Using barplot since its easier\n",
    "unique, count = np.unique(mins, return_counts=True)\n",
    "ax[1].bar(unique, count, width=width)\n",
    "ax[1].set_ylabel('Frequency')\n",
    "ax[1].set_xlabel('Cost')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e9c7eb12-ce2e-4211-af11-1e8097eb1cc3",
   "metadata": {},
   "source": [
    "# Comparing GLOBE-CE to AReS"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a8504f9-426d-4abd-be48-c9ab59f320f7",
   "metadata": {},
   "source": [
    " - times can also be added by wrapping the code with:\n",
    " - start_time = time.time()\n",
    " - run AReS (or GLOBE-CE)\n",
    " - time_ares = time.time() - start_time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 274,
   "id": "ce93ccf8-078b-4e74-b132-882c83c9f3e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x800 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m[GLOBE-CE]\tMaximum Accuracy:\t\t\t\u001b[0m 95.0%\n",
      "\u001b[1m[GLOBE-CE]\tAverage Cost at Maximum Accuracy:\t\u001b[0m 1.09\n",
      "\u001b[1m\n",
      "[AReS]\t\tMaximum Accuracy:\t\t\t\u001b[0m 81.67%\n",
      "\u001b[1m[AReS]\t\tAverage Cost at Maximum Accuracy:\t\u001b[0m 1.1\n"
     ]
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=1, ncols=2, dpi=200)\n",
    "fig.set_figwidth(10)\n",
    "\n",
    "ax[0].step(costs_bound, corrects_bound, where='post', label='GLOBE-CE')\n",
    "ax[0].step(costs_ares, corrects_ares, where='post', label='AReS')\n",
    "ax[0].set_ylim([-5, 105])\n",
    "ax[0].set_title('Accuracy-Cost Profile')\n",
    "ax[0].set_xlabel('Average Cost')\n",
    "ax[0].set_ylabel('Accuracy (%)')\n",
    "ax[0].legend()\n",
    "\n",
    "ax[1].set_title('Minimum Costs (Per Input) Histogram')\n",
    "width = 0.05\n",
    "mins = min_costs[min_costs!=0]\n",
    "unique, count = np.unique(mins, return_counts=True)\n",
    "ax[1].bar(unique+width/2, count, width=width, label='GLOBE-CE')\n",
    "mins_ares = ares.R.cost_vector[~np.isnan(ares.R.cost_vector)]\n",
    "unique_ares, count_ares = np.unique(mins_ares, return_counts=True)\n",
    "ax[1].bar(unique_ares-width/2, count_ares, width=width, label='AReS')\n",
    "ax[1].set_ylabel('Frequency')\n",
    "ax[1].set_xlabel('Cost')\n",
    "ax[1].legend()\n",
    "\n",
    "plt.show()\n",
    "\n",
    "print(bold(\"[GLOBE-CE]\\tMaximum Accuracy:\\t\\t\\t\") + \" {}%\".format(round(corrects_bound[-1], 2)))\n",
    "# only inputs with positive counterfactual predictions\n",
    "print(bold(\"[GLOBE-CE]\\tAverage Minimum Cost at Maximum Accuracy:\\t\") + \" {}\".format(round(costs_bound[-1], 2)))\n",
    "\n",
    "print(bold(\"\\n[AReS]\\t\\tMaximum Accuracy:\\t\\t\\t\") + \" {}%\".format(round(ares.R.accuracy, 2)))\n",
    "# only inputs with positive counterfactual predictions\n",
    "print(bold(\"[AReS]\\t\\tAverage Minimum Cost at Maximum Accuracy:\\t\") + \" {}\".format(round(ares.R.average_cost, 2)))"
   ]
  }
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