AccuracySimulation-Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ae8944bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "import scipy.io\n",
    "import pandas as pd\n",
    "import numpy as np \n",
    "from sklearn.model_selection import LeaveOneGroupOut, cross_val_score, cross_val_predict\n",
    "from sklearn.discriminant_analysis import LinearDiscriminantAnalysis\n",
    "from sklearn.metrics import accuracy_score, roc_auc_score\n",
    "import scipy.stats as stats\n",
    "from mat_preproc import preproc\n",
    "\n",
    "from joblib import Parallel, delayed\n",
    "import pickle as pkl\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format='retina'\n",
    "\n",
    "sns.set_style(\"darkgrid\")\n",
    "plt.rcParams['figure.dpi'] = 140"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a4d9325",
   "metadata": {},
   "source": [
    "# Encodings for Each Label\n",
    "\n",
    "## *source information*\n",
    "\n",
    "1. SC (Source Correct)\n",
    "2. CR (Correct Rejection)\n",
    "3. SI (Source Incorrect)\n",
    "4. Miss \n",
    "5. FA  (False Alarm)\n",
    "\n",
    "## *label for the source response*\n",
    "\n",
    "1. RS (Remember Source)\n",
    "2. RO (Remember Other)\n",
    "3. F (Familiarity)\n",
    "4. MN (Maybe New) \n",
    "5. SN (Sure New)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08869d83",
   "metadata": {},
   "source": [
    "Two different "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "38dbcee5",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f94a0258070>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 840x560 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 557,
       "width": 735
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "trial_num = 2\n",
    "\n",
    "with open(f'data/SN_vs_MN_empirical_accs_{trial_num}.pkl', 'rb') as f:\n",
    "    data = pkl.load(f)\n",
    "plt.hist(data, label=\"All Subject\", bins=30, alpha=0.8)\n",
    "\n",
    "with open(f'data/SN_vs_MN_empirical_accs_leftout_{trial_num}.pkl', 'rb') as f:\n",
    "    data = pkl.load(f)\n",
    "plt.hist(data, label=\"Filtered Subject\", bins=30, alpha=0.8)\n",
    "plt.title(f\"SN vs MN Trail {trial_num}\")\n",
    "\n",
    "reported_val = [0.5421, 0.5653][trial_num-1]\n",
    "\n",
    "plt.plot(reported_val, 10, marker=\"o\", markersize=5, c=\"red\", label=\"Reported Value\")\n",
    "plt.xlabel(f\"Accuracy \\n p-value = {np.mean(np.array(data) > reported_val)}\")\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "554a670e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f94802aa0a0>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 840x560 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 557,
       "width": 735
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "trial_num = 2\n",
    "\n",
    "with open(f'data/F_vs_CR_empirical_accs_{trial_num}.pkl', 'rb') as f:\n",
    "    data = pkl.load(f)\n",
    "plt.hist(data, label=\"All Subject\", bins=10, alpha=0.8)\n",
    "\n",
    "with open(f'data/F_vs_CR_empirical_accs_leftout_{trial_num}.pkl', 'rb') as f:\n",
    "    data = pkl.load(f)\n",
    "    \n",
    "reported_val = [0.5465, 0.5405][trial_num-1]\n",
    "\n",
    "plt.hist(data, label=\"Filtered Subject\", bins=10, alpha=0.8)\n",
    "plt.plot(reported_val, 10, marker=\"o\", markersize=5, c=\"red\", label=\"Reported Value\")\n",
    "plt.title(f\"F vs CR Trail {trial_num}\")\n",
    "plt.xlabel(f\"Accuracy \\n p-value = {np.mean(np.array(data) > reported_val)}\")\n",
    "plt.legend()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "93dd409d",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('data/F_vs_CR_empirical_accs_2.pkl', 'rb') as f:\n",
    "    data = pkl.load(f)\n",
    "plt.hist(data, label=\"All Subject\", bins=10 , alpha=0.8)\n",
    "plt.title(\"F vs CR Trail 2\")\n",
    "\n",
    "with open('data/F_vs_CR_empirical_accs_leftout_2.pkl', 'rb') as f:\n",
    "    data = pkl.load(f)\n",
    "plt.hist(data, label=\"Filtered Subject\", bins=10 , alpha=0.8)\n",
    "plt.title(\"F vs CR Trail 2\")\n",
    "plt.plot(0.5405, 10, marker=\"o\", markersize=5, c=\"red\", label=\"Reported Value\")\n",
    "plt.legend()\n",
    "\n",
    "plt.legend()\n",
    "print(f\"p value = {np.mean(np.array(data) > 0.5405)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c710c5b",
   "metadata": {},
   "source": [
    " Entire dataset on the simpliest setting using sklearn and matlab."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "654e27c1",
   "metadata": {},
   "source": [
    "# BootStrap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3e013678",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('SN_vs_MN_empirical_accs_leftout_1.pkl', 'rb') as f:\n",
    "    data = pkl.load(f)\n",
    "plt.hist(data, label=\"Without Replacement\", alpha=0.8)\n",
    "plt.title(\"SN vs MN Trail 1\")\n",
    "plt.legend()\n",
    "print(f\"p value = {np.mean(np.array(data) > 0.5421)}\")\n",
    "\n",
    "with open('SN_vs_MN_empirical_accs_leftout_boot_1.pkl', 'rb') as f:\n",
    "    data = pkl.load(f)\n",
    "plt.hist(data, label=\"With Replacement\", alpha=0.8)\n",
    "plt.title(\"SN vs MN Trail 1 Filtered Subject\")\n",
    "\n",
    "plt.plot(0.5421, 10, marker=\"o\", markersize=5, c=\"red\", label=\"Reported Value\")\n",
    "plt.legend()\n",
    "print(f\"p value = {np.mean(np.array(data) > 0.5421)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "13f0b047",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}