testing_metrics.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c918a461",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "from matplotlib.pylab import plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d74f4690",
   "metadata": {},
   "outputs": [],
   "source": [
    "base_dir = '/home/mma6789/Stuff/Studies/sem3/ms_project' #@param {type: 'string'}\n",
    "\n",
    "dataset = 'US-101' #@param ['I-80', 'US-101']\n",
    "t_o = 5000 #@param [3000, 4000, 5000] -> observation horizon\n",
    "t_p = [2000, 2500, 3000, 3500] # prediction horizon\n",
    "\n",
    "methods = ['LSTM', 'HMM', 'LSTMHMM']\n",
    "learning_rate = 0.0002\n",
    "\n",
    "t_p_seconds = [horizon / 1000 for horizon in t_p]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2f1cea49",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'LSTM':    test_acc   test_f1                                     test_class_acc\n",
       " 0  0.950851  0.960449   [0.9734768616, 0.9499384334000001, 0.9784880148]\n",
       " 1  0.961738  0.967563   [0.9709215309, 0.9614990461, 0.9620449264000001]\n",
       " 2  0.961461  0.967351  [0.9569947655000001, 0.9614022409, 0.973207820...\n",
       " 3  0.958860  0.965042         [0.9709457456, 0.9584930399, 0.9604933858],\n",
       " 'HMM':    test_acc   test_f1                                    test_class_acc\n",
       " 0  0.662407  0.768216        [0.7434247031, 0.6591718017, 0.7588608892]\n",
       " 1  0.670262  0.772593  [0.7999786188, 0.6675470155000001, 0.6281951975]\n",
       " 2  0.665856  0.767934  [0.7501796161000001, 0.6636370658, 0.6627443881]\n",
       " 3  0.642921  0.750590  [0.6722996344000001, 0.6400005579, 0.7769038255],\n",
       " 'LSTMHMM':    test_acc   test_f1                                     test_class_acc\n",
       " 0  0.965055  0.970469         [0.9606037066, 0.9651535931, 0.9657856997]\n",
       " 1  0.967686  0.972017         [0.9789394911, 0.9678768057, 0.9337722696]\n",
       " 2  0.976390  0.978899   [0.9814225598, 0.9762422283000001, 0.9771904417]\n",
       " 3  0.978476  0.980437  [0.9693645617000001, 0.9787485703000001, 0.977...}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Load metrics\n",
    "metrics = {}\n",
    "\n",
    "for method in methods:\n",
    "    metrics[method] = []\n",
    "    for horizon in t_p:\n",
    "        data = pd.read_json(f'{base_dir}/metrics/{method}/{dataset}/testing_{t_o}_{horizon}_{learning_rate}.json')\n",
    "        metrics[method].append(data)\n",
    "    metrics[method] = pd.concat(metrics[method], ignore_index=True)\n",
    "\n",
    "metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6114c619",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Accuracy graph\n",
    "plt.plot(t_p_seconds, metrics['LSTM']['test_acc'].tolist(), label='LSTM')\n",
    "plt.plot(t_p_seconds, metrics['HMM']['test_acc'].tolist(), label='HMM')\n",
    "plt.plot(t_p_seconds, metrics['LSTMHMM']['test_acc'].tolist(), label='LSTMHMM')\n",
    " \n",
    "plt.title('Testing Accuracy')\n",
    "plt.xlabel('Prediction Horizon (s)')\n",
    "plt.ylabel('Accuracy')\n",
    "\n",
    "plt.xticks(t_p_seconds)\n",
    "plt.legend(loc='best')\n",
    "plt.ylim(bottom=0.5, top=1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "02e29fed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## F1 graph\n",
    "plt.plot(t_p_seconds, metrics['LSTM']['test_f1'].tolist(), label='LSTM')\n",
    "plt.plot(t_p_seconds, metrics['HMM']['test_f1'].tolist(), label='HMM')\n",
    "plt.plot(t_p_seconds, metrics['LSTMHMM']['test_f1'].tolist(), label='LSTMHMM')\n",
    " \n",
    "plt.title('Testing F1 Score')\n",
    "plt.xlabel('Prediction Horizon (s)')\n",
    "plt.ylabel('F1 Score')\n",
    "\n",
    "plt.xticks(t_p_seconds)\n",
    "plt.legend(loc='best')\n",
    "plt.ylim(bottom=0.5, top=1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9bd48556",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Classwise accuracy graphs\n",
    "plt.plot(t_p_seconds, [scores[0] for scores in metrics['LSTM']['test_class_acc']], label='LSTM')\n",
    "plt.plot(t_p_seconds, [scores[0] for scores in metrics['HMM']['test_class_acc']], label='HMM')\n",
    "plt.plot(t_p_seconds, [scores[0] for scores in metrics['LSTMHMM']['test_class_acc']], label='LSTMHMM')\n",
    "\n",
    "plt.title('LCL Testing Accuracy')\n",
    "plt.xlabel('Prediction Horizon (s)')\n",
    "plt.ylabel('Accuracy')\n",
    "\n",
    "plt.xticks(t_p_seconds)\n",
    "plt.legend(loc='best')\n",
    "plt.ylim(bottom=0.5, top=1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "01a7bbfe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(t_p_seconds, [scores[1] for scores in metrics['LSTM']['test_class_acc']], label='LSTM')\n",
    "plt.plot(t_p_seconds, [scores[1] for scores in metrics['HMM']['test_class_acc']], label='HMM')\n",
    "plt.plot(t_p_seconds, [scores[1] for scores in metrics['LSTMHMM']['test_class_acc']], label='LSTMHMM')\n",
    "\n",
    "plt.title('LK Testing Accuracy')\n",
    "plt.xlabel('Prediction Horizon (s)')\n",
    "plt.ylabel('Accuracy')\n",
    "\n",
    "plt.xticks(t_p_seconds)\n",
    "plt.legend(loc='best')\n",
    "plt.ylim(bottom=0.5, top=1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e006e325",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(t_p_seconds, [scores[2] for scores in metrics['LSTM']['test_class_acc']], label='LSTM')\n",
    "plt.plot(t_p_seconds, [scores[2] for scores in metrics['HMM']['test_class_acc']], label='HMM')\n",
    "plt.plot(t_p_seconds, [scores[2] for scores in metrics['LSTMHMM']['test_class_acc']], label='LSTMHMM')\n",
    "\n",
    "plt.title('LCR Testing Accuracy')\n",
    "plt.xlabel('Prediction Horizon (s)')\n",
    "plt.ylabel('Accuracy')\n",
    "\n",
    "plt.xticks(t_p_seconds)\n",
    "plt.legend(loc='best')\n",
    "plt.ylim(bottom=0.5, top=1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "601d761f",
   "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": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}