test_svc_classifier.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0f9aafdf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: scikit-learn in /home/jupyter_share/miniconda3/envs/seismo2/lib/python3.10/site-packages (1.4.0)\n",
      "Requirement already satisfied: scikit-image in /home/jupyter_share/miniconda3/envs/seismo2/lib/python3.10/site-packages (0.24.0)\n",
      "Requirement already satisfied: numpy<2.0,>=1.19.5 in /home/jupyter_share/miniconda3/envs/seismo2/lib/python3.10/site-packages (from scikit-learn) (1.26.3)\n",
      "Requirement already satisfied: scipy>=1.6.0 in /home/jupyter_share/miniconda3/envs/seismo2/lib/python3.10/site-packages (from scikit-learn) (1.12.0)\n",
      "Requirement already satisfied: joblib>=1.2.0 in /home/jupyter_share/miniconda3/envs/seismo2/lib/python3.10/site-packages (from scikit-learn) (1.3.2)\n",
      "Requirement already satisfied: threadpoolctl>=2.0.0 in /home/jupyter_share/miniconda3/envs/seismo2/lib/python3.10/site-packages (from scikit-learn) (3.2.0)\n",
      "Requirement already satisfied: networkx>=2.8 in /home/jupyter_share/miniconda3/envs/seismo2/lib/python3.10/site-packages (from scikit-image) (3.2.1)\n",
      "Requirement already satisfied: pillow>=9.1 in /home/jupyter_share/miniconda3/envs/seismo2/lib/python3.10/site-packages (from scikit-image) (10.2.0)\n",
      "Requirement already satisfied: imageio>=2.33 in /home/jupyter_share/miniconda3/envs/seismo2/lib/python3.10/site-packages (from scikit-image) (2.34.2)\n",
      "Requirement already satisfied: tifffile>=2022.8.12 in /home/jupyter_share/miniconda3/envs/seismo2/lib/python3.10/site-packages (from scikit-image) (2024.7.24)\n",
      "Requirement already satisfied: packaging>=21 in /home/jupyter_share/miniconda3/envs/seismo2/lib/python3.10/site-packages (from scikit-image) (23.2)\n",
      "Requirement already satisfied: lazy-loader>=0.4 in /home/jupyter_share/miniconda3/envs/seismo2/lib/python3.10/site-packages (from scikit-image) (0.4)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%pip install scikit-learn scikit-image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a6fb02d6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "from skimage.io import imread\n",
    "from skimage.transform import resize\n",
    "import numpy as np\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.model_selection import GridSearchCV, StratifiedKFold\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.metrics import accuracy_score\n",
    "import shutil"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8ab2acf2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# PREPPING DATA\n",
    "input_dir = \"/home/ajm76/OrcaSeis/data\"\n",
    "categories = ['noise', 'orca_call']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c80e2ba2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# just for testing - creates dirs with 4 image files each to use as data for model\n",
    "os.chdir('data')\n",
    "os.makedirs('orca_test')\n",
    "os.makedirs('noise_test')\n",
    "source_dir_orca = '/home/ajm76/OrcaSeis/data/orca_spectrograms'\n",
    "destination_dir_orca = '/home/ajm76/OrcaSeis/data/orca_test'\n",
    "source_dir_noise = '/home/ajm76/OrcaSeis/data/noise_spectrograms'\n",
    "destination_dir_noise = '/home/ajm76/OrcaSeis/data/noise_test'\n",
    "test_file_names = ['0.png', '1.png', '10.png', '100.png']\n",
    "for file in test_file_names:\n",
    "    src_file_orca = os.path.join(source_dir_orca, file)\n",
    "    dest_file_orca = os.path.join(destination_dir_orca, file)\n",
    "    shutil.copy(src_file_orca, dest_file_orca)\n",
    "    src_file_noise = os.path.join(source_dir_noise, file)\n",
    "    dest_file_noise = os.path.join(destination_dir_noise, file)\n",
    "    shutil.copy(src_file_noise, dest_file_noise)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "c50ff86f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      " 0.55099189 1.         0.7277929  0.46702953 0.60837054 1.\n",
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      " 0.92881441 1.         0.99762984 0.99762636 0.99766525 1.\n",
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      " 0.9409299  1.         0.94240906 0.90962255 0.91949666 1.\n",
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      " 0.91890885 1.         0.94644242 0.91351157 0.922449   1.\n",
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      " 0.91531369 1.         0.95524263 0.91844168 0.92417895 1.\n",
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      " 0.92226312 1.         0.95712374 0.92690758 0.93704651 1.\n",
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      " 0.99228023 1.         0.99991723 0.99991714 0.99991907 1.\n",
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      " 0.99894544 1.         0.99809705 0.99799738 0.99802909 1.\n",
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      " 0.99801861 1.         0.99611732 0.99602242 0.99605013 1.\n",
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      " 0.99112905 1.         0.99865303 0.99853688 0.99854977 1.\n",
      " 0.99785515 0.99773624 0.99774719 1.         0.99839356 0.9982841\n",
      " 0.99831021 1.         0.99897351 0.99888659 0.99891901 1.\n",
      " 0.99991124 0.99989239 0.9999009  1.         0.99997389 0.99997369\n",
      " 0.99997408 1.         0.99999975 0.99999975 0.99999975 1.        ]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      " 0.66660972 1.         0.64471889 0.41854477 0.55623008 1.\n",
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      " 0.53095992 1.         0.6120781  0.40539077 0.52078544 1.\n",
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      " 0.53260244 1.         0.61994883 0.41262664 0.53598881 1.\n",
      " 0.61828149 0.40597528 0.54114821 1.         0.61081653 0.40066144\n",
      " 0.55316868 1.         0.6824088  0.47497484 0.60584324 1.\n",
      " 0.81807056 0.76278945 0.79817291 1.         0.89782266 0.89691518\n",
      " 0.90124754 1.         0.99317052 0.99316704 0.99320593 1.\n",
      " 0.99102731 0.98886197 0.98976405 1.         0.95168661 0.9351578\n",
      " 0.94115262 1.         0.92884541 0.91159516 0.91664084 1.\n",
      " 0.9322002  0.9140079  0.91873499 1.         0.92727056 0.90990135\n",
      " 0.91373977 1.         0.9275939  0.91151836 0.91460443 1.\n",
      " 0.9088662  0.89340425 0.89695865 1.         0.92162631 0.90560303\n",
      " 0.90917406 1.         0.93393232 0.91732868 0.92240162 1.\n",
      " 0.92289069 0.9059643  0.9108246  1.         0.93025659 0.91285424\n",
      " 0.91800137 1.         0.94620038 0.92778523 0.93411759 1.\n",
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      " 0.976074   1.         0.9972922  0.9972921  0.99729404 1.\n",
      " 0.99974976 0.99974436 0.99974766 1.         0.99895813 0.99892151\n",
      " 0.99894121 1.         0.99802041 0.99798863 0.99800176 1.\n",
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      " 0.99798509 1.         0.99603196 0.99600258 0.99600835 1.\n",
      " 0.97148779 0.97145928 0.97146642 1.         0.99111673 0.99108789\n",
      " 0.99109434 1.         0.99854991 0.99851738 0.99853337 1.\n",
      " 0.99774744 0.99771583 0.99772974 1.         0.99830151 0.99826928\n",
      " 0.99828049 1.         0.99891746 0.99887878 0.99889947 1.\n",
      " 0.99988283 0.99987027 0.99987898 1.         0.99985968 0.99985952\n",
      " 0.99985992 1.         0.99998119 0.99998119 0.9999812  1.        ]\n"
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    {
     "name": "stdout",
     "output_type": "stream",
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      " 0.57534965 1.         0.66472937 0.41598056 0.57375866 1.\n",
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      " 0.93425153 1.         0.99852079 0.9985173  0.99855619 1.\n",
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      " 0.94411547 1.         0.93645304 0.9124196  0.92331237 1.\n",
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      " 0.92333737 1.         0.93957891 0.91430309 0.92467725 1.\n",
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      " 0.91807235 1.         0.94288886 0.91816037 0.92885831 1.\n",
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      " 0.99231691 1.         0.99992319 0.9999231  0.99992503 1.\n",
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      " 0.99895607 1.         0.99805092 0.99799115 0.99803513 1.\n",
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      " 0.99113608 1.         0.99857773 0.99851812 0.9985627  1.\n",
      " 0.99777588 0.99771702 0.99776167 1.         0.99833281 0.99827376\n",
      " 0.99831842 1.         0.9989454  0.99888499 0.99892161 1.\n",
      " 0.99991023 0.9998935  0.99990111 1.         0.9999739  0.9999737\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      " 0.91636694 1.         0.9701073  0.94131278 0.92776846 1.\n",
      " 0.95912058 0.93243832 0.91767887 1.         0.966602   0.94137777\n",
      " 0.92665969 1.         0.97439898 0.94849249 0.93711792 1.\n",
      " 0.98216577 0.97598088 0.97423122 1.         0.99218843 0.99212004\n",
      " 0.9923048  1.         0.99992184 0.99992175 0.99992368 1.\n",
      " 0.99975645 0.99975558 0.99975171 1.         0.99903821 0.99902386\n",
      " 0.9989864  1.         0.99814827 0.99812249 0.99807056 1.\n",
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      " 0.99803507 1.         0.99616719 0.99610803 0.99605954 1.\n",
      " 0.97162151 0.97155631 0.97150924 1.         0.991251   0.99118337\n",
      " 0.99113783 1.         0.99867805 0.99861237 0.99856552 1.\n",
      " 0.99787699 0.99781732 0.9977685  1.         0.99843252 0.99838067\n",
      " 0.99833074 1.         0.9990216  0.99896133 0.99892171 1.\n",
      " 0.99992208 0.99990682 0.99989966 1.         0.99997399 0.99997382\n",
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    {
     "name": "stdout",
     "output_type": "stream",
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      " 0.9086323  1.         0.99452267 0.99451918 0.99455807 1.\n",
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      " 0.99831374 1.         0.9990097  0.99893128 0.99891586 1.\n",
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "  [0.81558186 0.69624971 0.80599956 1.        ]\n",
      "  [0.9142018  0.88715095 0.9134278  1.        ]\n",
      "  [0.99341163 0.99315918 0.99340425 1.        ]]\n",
      "\n",
      " [[0.96426342 0.93152328 0.95329207 1.        ]\n",
      "  [0.77473481 0.42693189 0.60406061 1.        ]\n",
      "  [0.7787015  0.25695955 0.44630807 1.        ]\n",
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      "  [0.69508357 0.21028518 0.47629307 1.        ]\n",
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      "  [0.66314855 0.19875653 0.48464383 1.        ]\n",
      "  [0.64612217 0.19306084 0.4863564  1.        ]\n",
      "  [0.66989555 0.20284978 0.47970075 1.        ]\n",
      "  [0.67886861 0.28410536 0.543586   1.        ]\n",
      "  [0.80751259 0.69329616 0.80428451 1.        ]\n",
      "  [0.90657455 0.88570213 0.91491216 1.        ]\n",
      "  [0.99365171 0.99345895 0.99373249 1.        ]]\n",
      "\n",
      " [[0.95314917 0.91657324 0.93354021 1.        ]\n",
      "  [0.8198525  0.45520155 0.58216348 1.        ]\n",
      "  [0.85747719 0.34344905 0.42355185 1.        ]\n",
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      "  [0.82390208 0.29671101 0.43327416 1.        ]\n",
      "  [0.82100214 0.29841328 0.43400639 1.        ]\n",
      "  [0.78964734 0.27594743 0.44214648 1.        ]\n",
      "  [0.77762823 0.26007402 0.44614215 1.        ]\n",
      "  [0.7895223  0.26604003 0.44201772 1.        ]\n",
      "  [0.77452783 0.33139724 0.51504451 1.        ]\n",
      "  [0.81400749 0.70102681 0.7919973  1.        ]\n",
      "  [0.90767994 0.89470935 0.92081588 1.        ]\n",
      "  [0.99534066 0.99522467 0.99546982 1.        ]]\n",
      "\n",
      " [[0.97783095 0.94009883 0.95155064 1.        ]\n",
      "  [0.87144975 0.53430308 0.59173704 1.        ]\n",
      "  [0.89067412 0.45047224 0.44677556 1.        ]\n",
      "  [0.88776864 0.38863559 0.4129199  1.        ]\n",
      "  [0.85395311 0.34096355 0.41840495 1.        ]\n",
      "  [0.86280386 0.38817885 0.43227457 1.        ]\n",
      "  [0.87914319 0.42544413 0.43904851 1.        ]\n",
      "  [0.88564965 0.42812215 0.43338334 1.        ]\n",
      "  [0.87756474 0.3767618  0.41495682 1.        ]\n",
      "  [0.86225329 0.34188052 0.41318578 1.        ]\n",
      "  [0.85061009 0.33049423 0.41772904 1.        ]\n",
      "  [0.84377494 0.38950027 0.48498739 1.        ]\n",
      "  [0.81277267 0.70850278 0.75772314 1.        ]\n",
      "  [0.87628654 0.87187965 0.88619505 1.        ]\n",
      "  [0.99180832 0.99177485 0.99190917 1.        ]]\n",
      "\n",
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      "  [0.74649394 0.42376533 0.57289489 1.        ]\n",
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      "  [0.73655852 0.41032205 0.57264829 1.        ]\n",
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      "  [0.74587406 0.40501349 0.57115622 1.        ]\n",
      "  [0.77726995 0.47571109 0.61545992 1.        ]\n",
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      "  [0.92862954 0.92760948 0.93187012 1.        ]\n",
      "  [0.99818255 0.99817906 0.99821795 1.        ]]\n",
      "\n",
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      "  [0.96358356 0.93735582 0.94316906 1.        ]\n",
      "  [0.9446888  0.91120357 0.92234833 1.        ]\n",
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      "  [0.94554452 0.91095285 0.92169813 1.        ]\n",
      "  [0.94604827 0.91255643 0.92393222 1.        ]\n",
      "  [0.92824965 0.89405095 0.90499705 1.        ]\n",
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      "  [0.99217646 0.99209845 0.99230326 1.        ]\n",
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      "\n",
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      "  [0.99811463 0.99802095 0.99801805 1.        ]\n",
      "  [0.9961383  0.9960465  0.99604433 1.        ]\n",
      "  [0.9715925  0.97150057 0.97149875 1.        ]\n",
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      "  [0.99865386 0.99855882 0.99855445 1.        ]\n",
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      " 0.93524147 1.         0.99351295 0.99348775 0.9933939  1.\n",
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      " 0.92692877 1.         0.99584292 0.99552638 0.99572661 1.\n",
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      " 0.48268176 1.         0.63245582 0.18779489 0.49024968 1.\n",
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      " 0.49055503 1.         0.65396408 0.27519914 0.54806345 1.\n",
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      " 0.60406061 1.         0.7787015  0.25695955 0.44630807 1.\n",
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      " 0.48471651 1.         0.66314855 0.19875653 0.48464383 1.\n",
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      " 0.47970075 1.         0.67886861 0.28410536 0.543586   1.\n",
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      " 0.91491216 1.         0.99365171 0.99345895 0.99373249 1.\n",
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      " 0.58216348 1.         0.85747719 0.34344905 0.42355185 1.\n",
      " 0.82925577 0.3090317  0.43150258 1.         0.79225635 0.27026681\n",
      " 0.44315113 1.         0.78233925 0.27196022 0.44900443 1.\n",
      " 0.82390208 0.29671101 0.43327416 1.         0.82100214 0.29841328\n",
      " 0.43400639 1.         0.78964734 0.27594743 0.44214648 1.\n",
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      " 0.44201772 1.         0.77452783 0.33139724 0.51504451 1.\n",
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      " 0.92081588 1.         0.99534066 0.99522467 0.99546982 1.\n",
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      " 0.59173704 1.         0.89067412 0.45047224 0.44677556 1.\n",
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      " 0.41840495 1.         0.86280386 0.38817885 0.43227457 1.\n",
      " 0.87914319 0.42544413 0.43904851 1.         0.88564965 0.42812215\n",
      " 0.43338334 1.         0.87756474 0.3767618  0.41495682 1.\n",
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      " 0.41772904 1.         0.84377494 0.38950027 0.48498739 1.\n",
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      " 0.88619505 1.         0.99180832 0.99177485 0.99190917 1.\n",
      " 0.97426945 0.94704965 0.95709643 1.         0.81205907 0.56515\n",
      " 0.67398791 1.         0.74649394 0.42376533 0.57289489 1.\n",
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      " 0.57023727 1.         0.73608894 0.40703434 0.57466545 1.\n",
      " 0.74960403 0.41415544 0.57170114 1.         0.73655852 0.41032205\n",
      " 0.57264829 1.         0.76401771 0.41529178 0.56916194 1.\n",
      " 0.75580997 0.40784593 0.56709206 1.         0.74587406 0.40501349\n",
      " 0.57115622 1.         0.77726995 0.47571109 0.61545992 1.\n",
      " 0.84208927 0.77178491 0.80243451 1.         0.92862954 0.92760948\n",
      " 0.93187012 1.         0.99818255 0.99817906 0.99821795 1.\n",
      " 0.99221619 0.9893568  0.9897208  1.         0.96358356 0.93735582\n",
      " 0.94316906 1.         0.9446888  0.91120357 0.92234833 1.\n",
      " 0.9492498  0.91456691 0.92517468 1.         0.94554452 0.91095285\n",
      " 0.92169813 1.         0.94604827 0.91255643 0.92393222 1.\n",
      " 0.92824965 0.89405095 0.90499705 1.         0.93877906 0.90581998\n",
      " 0.9175861  1.         0.95334505 0.91798221 0.92802377 1.\n",
      " 0.9419791  0.90662107 0.91677834 1.         0.94865499 0.91397954\n",
      " 0.9245889  1.         0.96135972 0.92994597 0.93719253 1.\n",
      " 0.98057931 0.97332209 0.97432396 1.         0.99217646 0.99209845\n",
      " 0.99230326 1.         0.99992174 0.99992164 0.99992358 1.\n",
      " 0.99975561 0.99974825 0.99974718 1.         0.999025   0.99895542\n",
      " 0.99894917 1.         0.99811938 0.9980283  0.99802669 1.\n",
      " 0.99838525 0.99829207 0.99828952 1.         0.99811463 0.99802095\n",
      " 0.99801805 1.         0.9961383  0.9960465  0.99604433 1.\n",
      " 0.9715925  0.97150057 0.97149875 1.         0.99122    0.99112955\n",
      " 0.9911287  1.         0.99865386 0.99855882 0.99855445 1.\n",
      " 0.99785297 0.99775732 0.9977529  1.         0.99840802 0.99831295\n",
      " 0.99830883 1.         0.99900536 0.99892049 0.99891236 1.\n",
      " 0.99992037 0.99990169 0.9998988  1.         0.99997398 0.99997378\n",
      " 0.99997405 1.         0.99999975 0.99999975 0.99999975 1.        ]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[[0.99779008 0.99754968 0.99815234 1.        ]\n",
      "  [0.98027694 0.97723154 0.98377998 1.        ]\n",
      "  [0.97345721 0.96890509 0.97831765 1.        ]\n",
      "  [0.97271971 0.96847379 0.97777023 1.        ]\n",
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      "\n",
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      "  [0.44654888 0.20315904 0.54241822 1.        ]\n",
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      "  [0.94992448 0.90870386 0.9121941  1.        ]\n",
      "  [0.99481072 0.99442129 0.99444826 1.        ]]\n",
      "\n",
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      "  [0.55040685 0.16256908 0.50262719 1.        ]\n",
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      "  [0.52060382 0.14976052 0.50356674 1.        ]\n",
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      "  [0.93897323 0.89916609 0.91349194 1.        ]\n",
      "  [0.99427289 0.99389825 0.994029   1.        ]]\n",
      "\n",
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      "  [0.64203106 0.37271676 0.62433996 1.        ]\n",
      "  [0.56720932 0.16873975 0.50272849 1.        ]\n",
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      "  [0.68688378 0.21040267 0.47533142 1.        ]\n",
      "  [0.65457858 0.19536813 0.48632654 1.        ]\n",
      "  [0.63883652 0.18996889 0.48969318 1.        ]\n",
      "  [0.64502083 0.19217313 0.4884806  1.        ]\n",
      "  [0.6346645  0.18905709 0.49125684 1.        ]\n",
      "  [0.65320558 0.27484925 0.54830461 1.        ]\n",
      "  [0.83450223 0.70166814 0.80214759 1.        ]\n",
      "  [0.91648451 0.88270095 0.90426818 1.        ]\n",
      "  [0.99223844 0.9919219  0.99212213 1.        ]]\n",
      "\n",
      " [[0.92739885 0.90312783 0.9306098  1.        ]\n",
      "  [0.62268968 0.36211772 0.6188957  1.        ]\n",
      "  [0.56626968 0.1682578  0.50257095 1.        ]\n",
      "  [0.56403741 0.1648568  0.50155933 1.        ]\n",
      "  [0.57724513 0.16942631 0.49987736 1.        ]\n",
      "  [0.64804092 0.19426677 0.48666342 1.        ]\n",
      "  [0.66294359 0.19903794 0.48382063 1.        ]\n",
      "  [0.68769925 0.20700651 0.47892699 1.        ]\n",
      "  [0.68477525 0.20563902 0.48053735 1.        ]\n",
      "  [0.66980849 0.20051902 0.48400582 1.        ]\n",
      "  [0.64288115 0.19191957 0.4901014  1.        ]\n",
      "  [0.66087182 0.27759084 0.54842507 1.        ]\n",
      "  [0.8258793  0.70093814 0.80716322 1.        ]\n",
      "  [0.92342164 0.89629954 0.92253229 1.        ]\n",
      "  [0.99485591 0.99460346 0.99484854 1.        ]]\n",
      "\n",
      " [[0.95631766 0.92869444 0.95414909 1.        ]\n",
      "  [0.67140957 0.38599968 0.62707725 1.        ]\n",
      "  [0.5993501  0.17941228 0.49936009 1.        ]\n",
      "  [0.58637787 0.17226218 0.49945739 1.        ]\n",
      "  [0.58661878 0.17300972 0.49755344 1.        ]\n",
      "  [0.69714785 0.22792564 0.47099702 1.        ]\n",
      "  [0.75878961 0.25659604 0.45503315 1.        ]\n",
      "  [0.75744453 0.23902993 0.45573778 1.        ]\n",
      "  [0.75104851 0.23404795 0.45747964 1.        ]\n",
      "  [0.74047665 0.22850021 0.46139901 1.        ]\n",
      "  [0.72703371 0.22304195 0.46714507 1.        ]\n",
      "  [0.73543189 0.30576143 0.52708792 1.        ]\n",
      "  [0.816672   0.69661658 0.80137406 1.        ]\n",
      "  [0.90584393 0.8849337  0.91410629 1.        ]\n",
      "  [0.99351658 0.99332382 0.99359736 1.        ]]\n",
      "\n",
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      "  [0.73627953 0.40257529 0.60307436 1.        ]\n",
      "  [0.6626037  0.20156144 0.48506044 1.        ]\n",
      "  [0.65957797 0.19838538 0.48265569 1.        ]\n",
      "  [0.66680418 0.20669454 0.48022912 1.        ]\n",
      "  [0.82031203 0.34563029 0.44349556 1.        ]\n",
      "  [0.90320068 0.4488476  0.44093625 1.        ]\n",
      "  [0.87426286 0.35571391 0.42322741 1.        ]\n",
      "  [0.82607293 0.27614662 0.42886127 1.        ]\n",
      "  [0.80531091 0.26450257 0.43775966 1.        ]\n",
      "  [0.83955667 0.29600726 0.4232451  1.        ]\n",
      "  [0.85248067 0.37981529 0.48784407 1.        ]\n",
      "  [0.82497076 0.70472951 0.78216153 1.        ]\n",
      "  [0.88665184 0.87361973 0.89963396 1.        ]\n",
      "  [0.99207124 0.99195524 0.99220039 1.        ]]\n",
      "\n",
      " [[0.96764837 0.93380157 0.95454682 1.        ]\n",
      "  [0.76086629 0.41996725 0.61098294 1.        ]\n",
      "  [0.69564755 0.21672232 0.47457565 1.        ]\n",
      "  [0.69853437 0.21499223 0.47240075 1.        ]\n",
      "  [0.69562282 0.22523351 0.47391423 1.        ]\n",
      "  [0.81039049 0.3745313  0.46392155 1.        ]\n",
      "  [0.86858044 0.41310376 0.4455559  1.        ]\n",
      "  [0.86756348 0.35464749 0.417121   1.        ]\n",
      "  [0.79297312 0.27134415 0.43839987 1.        ]\n",
      "  [0.81194353 0.29918744 0.43389274 1.        ]\n",
      "  [0.8318807  0.32106165 0.42267729 1.        ]\n",
      "  [0.82655345 0.374171   0.49234257 1.        ]\n",
      "  [0.80741807 0.70594948 0.76551525 1.        ]\n",
      "  [0.89573367 0.89137165 0.90581012 1.        ]\n",
      "  [0.9947772  0.99474372 0.99487805 1.        ]]\n",
      "\n",
      " [[0.97309427 0.94622306 0.95728564 1.        ]\n",
      "  [0.79905448 0.55065696 0.67677403 1.        ]\n",
      "  [0.70854381 0.38414004 0.58090694 1.        ]\n",
      "  [0.70094083 0.37994696 0.58106094 1.        ]\n",
      "  [0.71137118 0.38383989 0.57898386 1.        ]\n",
      "  [0.71601796 0.39468786 0.57949836 1.        ]\n",
      "  [0.73334017 0.40382846 0.56817576 1.        ]\n",
      "  [0.75779941 0.4065612  0.56288919 1.        ]\n",
      "  [0.72683054 0.39051016 0.57607864 1.        ]\n",
      "  [0.738742   0.39494928 0.57065236 1.        ]\n",
      "  [0.72855353 0.39409733 0.5751647  1.        ]\n",
      "  [0.76846999 0.46707938 0.61799207 1.        ]\n",
      "  [0.83194287 0.76345376 0.79901804 1.        ]\n",
      "  [0.90055767 0.89956098 0.90387677 1.        ]\n",
      "  [0.99342168 0.99341819 0.99345708 1.        ]]\n",
      "\n",
      " [[0.99227558 0.98930398 0.98963272 1.        ]\n",
      "  [0.96371246 0.9365007  0.94247491 1.        ]\n",
      "  [0.94534578 0.91000351 0.92163856 1.        ]\n",
      "  [0.94824823 0.91288109 0.92463563 1.        ]\n",
      "  [0.94705037 0.91020244 0.92059398 1.        ]\n",
      "  [0.94704597 0.91142472 0.92313537 1.        ]\n",
      "  [0.92713416 0.89224572 0.90438382 1.        ]\n",
      "  [0.94117756 0.90515183 0.916497   1.        ]\n",
      "  [0.95159045 0.91583245 0.92759834 1.        ]\n",
      "  [0.94100463 0.90485865 0.91628097 1.        ]\n",
      "  [0.94823552 0.91243364 0.92404109 1.        ]\n",
      "  [0.96107132 0.92854842 0.93679132 1.        ]\n",
      "  [0.98007482 0.9726829  0.97410294 1.        ]\n",
      "  [0.99092091 0.99084163 0.99105094 1.        ]\n",
      "  [0.9997076  0.9997075  0.99970944 1.        ]]\n",
      "\n",
      " [[0.99975571 0.99974785 0.99974684 1.        ]\n",
      "  [0.99902459 0.99895054 0.99894612 1.        ]\n",
      "  [0.99812224 0.99802246 0.99802291 1.        ]\n",
      "  [0.99838743 0.99828623 0.99828575 1.        ]\n",
      "  [0.99812046 0.99801666 0.99801308 1.        ]\n",
      "  [0.99614072 0.99603992 0.99604039 1.        ]\n",
      "  [0.97159281 0.97149318 0.97149494 1.        ]\n",
      "  [0.99122286 0.99112288 0.99112448 1.        ]\n",
      "  [0.99865101 0.99855004 0.99855119 1.        ]\n",
      "  [0.99785079 0.9977494  0.99774986 1.        ]\n",
      "  [0.99840609 0.99830532 0.99830581 1.        ]\n",
      "  [0.99900441 0.99891402 0.99890976 1.        ]\n",
      "  [0.99991985 0.99990014 0.9998984  1.        ]\n",
      "  [0.99997397 0.99997377 0.99997405 1.        ]\n",
      "  [0.99999975 0.99999975 0.99999975 1.        ]]]\n",
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      " 0.98377998 1.         0.97345721 0.96890509 0.97831765 1.\n",
      " 0.97271971 0.96847379 0.97777023 1.         0.95185396 0.94731895\n",
      " 0.95678692 1.         0.89318038 0.88873014 0.89809696 1.\n",
      " 0.89531552 0.89110673 0.90026778 1.         0.89279555 0.88817109\n",
      " 0.89764544 1.         0.94172773 0.93701757 0.94656742 1.\n",
      " 0.97267012 0.96806091 0.97755106 1.         0.97361139 0.96882233\n",
      " 0.97835893 1.         0.97656603 0.97249765 0.98071853 1.\n",
      " 0.99182537 0.99099575 0.99179368 1.         0.99203379 0.9919763\n",
      " 0.99151586 1.         0.99888943 0.99888894 0.99888441 1.\n",
      " 0.96069826 0.95623041 0.9679898  1.         0.64716167 0.5934594\n",
      " 0.71820434 1.         0.52727646 0.44546339 0.62539687 1.\n",
      " 0.5202596  0.4424581  0.62019911 1.         0.51163218 0.43118473\n",
      " 0.61029761 1.         0.47389414 0.39608107 0.57225877 1.\n",
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      " 0.56777121 1.         0.50531388 0.42258223 0.60278073 1.\n",
      " 0.52584674 0.44347651 0.6241752  1.         0.52653397 0.44329438\n",
      " 0.6231768  1.         0.57888485 0.50888919 0.66292297 1.\n",
      " 0.87827693 0.86083972 0.87392952 1.         0.94727871 0.94453873\n",
      " 0.93497541 1.         0.99345776 0.99343257 0.99333872 1.\n",
      " 0.93558599 0.92519041 0.9475631  1.         0.42763814 0.3287526\n",
      " 0.54156583 1.         0.23281552 0.08870153 0.38463092 1.\n",
      " 0.21875693 0.08410116 0.36936254 1.         0.22179733 0.08348162\n",
      " 0.37168294 1.         0.22097579 0.08291168 0.37030246 1.\n",
      " 0.21730348 0.08217895 0.3681971  1.         0.22368886 0.08319356\n",
      " 0.37347238 1.         0.22286371 0.08304853 0.37095886 1.\n",
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      " 0.37965118 1.         0.3117997  0.19163912 0.44164931 1.\n",
      " 0.81926625 0.77060583 0.79329419 1.         0.95427602 0.94134136\n",
      " 0.92495363 1.         0.99456375 0.99444247 0.99428143 1.\n",
      " 0.89847567 0.88991605 0.90897277 1.         0.38707296 0.30568871\n",
      " 0.49148332 1.         0.20493539 0.07956442 0.34800164 1.\n",
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      " 0.33734751 1.         0.20735097 0.07531076 0.35171465 1.\n",
      " 0.20669068 0.07568827 0.35501978 1.         0.20363658 0.07554358\n",
      " 0.34697338 1.         0.19926815 0.07512291 0.34324221 1.\n",
      " 0.20216251 0.07552077 0.34812192 1.         0.20807476 0.07600995\n",
      " 0.35205246 1.         0.29850316 0.18424195 0.42552058 1.\n",
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      " 0.91731527 1.         0.99483174 0.9945995  0.99446063 1.\n",
      " 0.92912396 0.91792094 0.94214428 1.         0.43215529 0.31642863\n",
      " 0.55638338 1.         0.25251709 0.07684888 0.4156113  1.\n",
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      " 0.41903599 1.         0.25170731 0.0715921  0.41989632 1.\n",
      " 0.26788495 0.07437668 0.42965859 1.         0.26860515 0.07669223\n",
      " 0.42318077 1.         0.24724735 0.07354129 0.41096822 1.\n",
      " 0.24876406 0.07189431 0.4187554  1.         0.24182194 0.0712418\n",
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      " 0.90387677 1.         0.99342168 0.99341819 0.99345708 1.\n",
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      " 0.94247491 1.         0.94534578 0.91000351 0.92163856 1.\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "  [0.74985929 0.24696095 0.4469618  1.        ]\n",
      "  [0.74463582 0.24176418 0.44688006 1.        ]\n",
      "  [0.74492908 0.2411211  0.44567158 1.        ]\n",
      "  [0.73319847 0.23406501 0.45251348 1.        ]\n",
      "  [0.73737064 0.23523352 0.45057038 1.        ]\n",
      "  [0.75890295 0.24469602 0.44168501 1.        ]\n",
      "  [0.7499281  0.24409195 0.44082059 1.        ]\n",
      "  [0.73939422 0.31849881 0.50572959 1.        ]\n",
      "  [0.80690054 0.6965871  0.78488522 1.        ]\n",
      "  [0.88728433 0.87433686 0.90041122 1.        ]\n",
      "  [0.99206284 0.99194685 0.992192   1.        ]]\n",
      "\n",
      " [[0.95395633 0.92894337 0.95498888 1.        ]\n",
      "  [0.59500038 0.36190707 0.61625354 1.        ]\n",
      "  [0.44266026 0.1299841  0.47839956 1.        ]\n",
      "  [0.428676   0.12427121 0.46565855 1.        ]\n",
      "  [0.42829196 0.1240721  0.46313919 1.        ]\n",
      "  [0.42290738 0.1210166  0.46644929 1.        ]\n",
      "  [0.41884817 0.12159585 0.46446782 1.        ]\n",
      "  [0.43683499 0.12690867 0.47290315 1.        ]\n",
      "  [0.43102814 0.12723763 0.46324364 1.        ]\n",
      "  [0.4178413  0.12356702 0.45575914 1.        ]\n",
      "  [0.38879383 0.11788402 0.44528486 1.        ]\n",
      "  [0.46498566 0.21991363 0.51703017 1.        ]\n",
      "  [0.75254083 0.68393563 0.7747296  1.        ]\n",
      "  [0.90270828 0.89859942 0.91326732 1.        ]\n",
      "  [0.9960326  0.99599912 0.99613345 1.        ]]\n",
      "\n",
      " [[0.96846552 0.94484187 0.95750785 1.        ]\n",
      "  [0.71976821 0.52947782 0.66264718 1.        ]\n",
      "  [0.54742467 0.34294441 0.52983866 1.        ]\n",
      "  [0.53373905 0.33721464 0.51843878 1.        ]\n",
      "  [0.53459389 0.33576036 0.51980122 1.        ]\n",
      "  [0.53211154 0.33661107 0.51556438 1.        ]\n",
      "  [0.53093367 0.33583813 0.51997911 1.        ]\n",
      "  [0.53984764 0.33837839 0.52937484 1.        ]\n",
      "  [0.53746117 0.33940667 0.52082025 1.        ]\n",
      "  [0.52552976 0.33409713 0.51412291 1.        ]\n",
      "  [0.52739167 0.33761479 0.51759812 1.        ]\n",
      "  [0.63373553 0.42987628 0.58711441 1.        ]\n",
      "  [0.81499231 0.75723623 0.79774988 1.        ]\n",
      "  [0.89535702 0.89442022 0.89878526 1.        ]\n",
      "  [0.99295804 0.99295456 0.99299345 1.        ]]\n",
      "\n",
      " [[0.99208045 0.98931474 0.98972292 1.        ]\n",
      "  [0.96022348 0.93642111 0.94231485 1.        ]\n",
      "  [0.93766793 0.90935834 0.91936265 1.        ]\n",
      "  [0.94033209 0.91207756 0.92205229 1.        ]\n",
      "  [0.93709027 0.9085198  0.91877254 1.        ]\n",
      "  [0.93842664 0.91046447 0.92026376 1.        ]\n",
      "  [0.91978738 0.8917078  0.90192735 1.        ]\n",
      "  [0.93271561 0.90424136 0.91476281 1.        ]\n",
      "  [0.94351979 0.91512041 0.92519704 1.        ]\n",
      "  [0.93159388 0.90374967 0.91365979 1.        ]\n",
      "  [0.9397228  0.9115604  0.92161503 1.        ]\n",
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      "  [0.97931798 0.97255616 0.97416447 1.        ]\n",
      "  [0.99046246 0.99038708 0.99059891 1.        ]\n",
      "  [0.99965002 0.99964992 0.99965186 1.        ]]\n",
      "\n",
      " [[0.99975555 0.99974823 0.99974723 1.        ]\n",
      "  [0.99902322 0.99895473 0.99894955 1.        ]\n",
      "  [0.99811918 0.99802801 0.99802664 1.        ]\n",
      "  [0.99838278 0.99829098 0.99828986 1.        ]\n",
      "  [0.99811165 0.9980196  0.99801843 1.        ]\n",
      "  [0.9961368  0.99604527 0.99604437 1.        ]\n",
      "  [0.97159097 0.97149956 0.97149875 1.        ]\n",
      "  [0.99122134 0.9911295  0.99112849 1.        ]\n",
      "  [0.99864837 0.99855638 0.99855522 1.        ]\n",
      "  [0.99784632 0.99775493 0.99775415 1.        ]\n",
      "  [0.99840261 0.9983109  0.99830983 1.        ]\n",
      "  [0.99900039 0.99891824 0.99891377 1.        ]\n",
      "  [0.99991935 0.99990101 0.99989927 1.        ]\n",
      "  [0.99997397 0.99997378 0.99997406 1.        ]\n",
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      " 0.9850678  1.         0.9769631  0.96963642 0.98044847 1.\n",
      " 0.97619964 0.96907902 0.98009505 1.         0.9545602  0.94775356\n",
      " 0.95879944 1.         0.89539017 0.88905037 0.89987734 1.\n",
      " 0.89830525 0.89157303 0.90253886 1.         0.89622983 0.88888194\n",
      " 0.89984372 1.         0.94615154 0.93812942 0.94880545 1.\n",
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      " 0.98069676 1.         0.98060006 0.97351732 0.98275366 1.\n",
      " 0.99256764 0.99112668 0.99229862 1.         0.99204061 0.99197726\n",
      " 0.99152105 1.         0.99888943 0.99888894 0.99888441 1.\n",
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      " 0.76058265 1.         0.6365372  0.46871429 0.68651755 1.\n",
      " 0.62626222 0.46277878 0.68427432 1.         0.60467401 0.44800254\n",
      " 0.67189065 1.         0.56488472 0.411987   0.63389463 1.\n",
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      " 0.63175077 1.         0.62742034 0.45090271 0.66656946 1.\n",
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      " 0.68893446 1.         0.69585351 0.53699856 0.72205575 1.\n",
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      " 0.93555751 1.         0.99353174 0.99350655 0.9934127  1.\n",
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      " 0.63101214 1.         0.53394228 0.16347597 0.50610398 1.\n",
      " 0.54293206 0.16367952 0.50340218 1.         0.525753   0.15752286\n",
      " 0.50289873 1.         0.52182157 0.15605938 0.50212782 1.\n",
      " 0.51215383 0.15220363 0.50229198 1.         0.51918054 0.15490936\n",
      " 0.50223115 1.         0.53622791 0.16160396 0.50324074 1.\n",
      " 0.54728516 0.16596658 0.50459586 1.         0.55088309 0.1677721\n",
      " 0.50645462 1.         0.59177722 0.26227861 0.55981869 1.\n",
      " 0.87156017 0.78476611 0.82136764 1.         0.96803983 0.95478042\n",
      " 0.93853789 1.         0.99678286 0.99666158 0.99650053 1.\n",
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      " 0.6059506  1.         0.68395672 0.2082293  0.48148276 1.\n",
      " 0.69508062 0.21045262 0.47578554 1.         0.71257203 0.2177412\n",
      " 0.46940175 1.         0.70715618 0.21705068 0.47043498 1.\n",
      " 0.68951403 0.21319574 0.47479064 1.         0.6752991  0.20581199\n",
      " 0.47916733 1.         0.68018194 0.20762078 0.47764872 1.\n",
      " 0.67606438 0.20555555 0.47858801 1.         0.65745581 0.19856237\n",
      " 0.48478445 1.         0.68961652 0.28967424 0.54183374 1.\n",
      " 0.89020395 0.76665559 0.79862362 1.         0.94858103 0.92355537\n",
      " 0.90956074 1.         0.99350086 0.99326862 0.99312975 1.\n",
      " 0.96376014 0.92829619 0.94797813 1.         0.79131588 0.42638524\n",
      " 0.60152448 1.         0.77702341 0.24457912 0.45291492 1.\n",
      " 0.81571453 0.26700691 0.43248073 1.         0.82899888 0.27497081\n",
      " 0.42605575 1.         0.81423252 0.26549728 0.43299484 1.\n",
      " 0.79722435 0.26161366 0.43963572 1.         0.78259395 0.25198767\n",
      " 0.44540107 1.         0.77196899 0.24739195 0.44933626 1.\n",
      " 0.76913481 0.24373681 0.45038448 1.         0.76457438 0.24090286\n",
      " 0.45248208 1.         0.77081293 0.32007132 0.51808772 1.\n",
      " 0.90372275 0.75243113 0.78785463 1.         0.9587785  0.92326526\n",
      " 0.91559219 1.         0.9954529  0.99512125 0.99504329 1.\n",
      " 0.95569781 0.91569632 0.92896057 1.         0.85152206 0.45175814\n",
      " 0.56608035 1.         0.85679352 0.29497221 0.4158111  1.\n",
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      " 0.39986199 1.         0.86773636 0.30189359 0.4079577  1.\n",
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      " 0.41615322 1.         0.85672109 0.29767854 0.41343427 1.\n",
      " 0.85285102 0.29055785 0.41537193 1.         0.85688633 0.29459824\n",
      " 0.41412136 1.         0.85498239 0.36883265 0.48348343 1.\n",
      " 0.91580423 0.74271658 0.78081898 1.         0.95153745 0.90985876\n",
      " 0.91302212 1.         0.99495981 0.99457039 0.99459736 1.\n",
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      " 0.54269445 1.         0.92272923 0.36780586 0.38489343 1.\n",
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      " 0.38285114 1.         0.91838735 0.375692   0.3948224  1.\n",
      " 0.90772059 0.35683693 0.39612387 1.         0.91071958 0.37076215\n",
      " 0.40107762 1.         0.92144765 0.39297134 0.40176759 1.\n",
      " 0.92180302 0.38431236 0.39828696 1.         0.91618306 0.37606049\n",
      " 0.40018877 1.         0.90394722 0.43315851 0.4722829  1.\n",
      " 0.91226408 0.74237933 0.78328413 1.         0.93647295 0.89633\n",
      " 0.91021247 1.         0.99376031 0.99338567 0.99351642 1.\n",
      " 0.95784333 0.91812159 0.91804942 1.         0.94200714 0.56231955\n",
      " 0.53489279 1.         0.95814945 0.44749456 0.38036465 1.\n",
      " 0.96765134 0.49387662 0.39383453 1.         0.9717825  0.54089626\n",
      " 0.41965217 1.         0.96749841 0.52398211 0.41497586 1.\n",
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      " 0.40274176 1.         0.95979928 0.49234937 0.40719652 1.\n",
      " 0.95760668 0.4694617  0.39660874 1.         0.95391546 0.45891398\n",
      " 0.39455038 1.         0.95159526 0.51635398 0.45926094 1.\n",
      " 0.91086625 0.7556889  0.78682692 1.         0.94192834 0.90788443\n",
      " 0.92883401 1.         0.99616448 0.99584794 0.99604817 1.\n",
      " 0.96451465 0.92881936 0.92232451 1.         0.95676183 0.62551369\n",
      " 0.54188741 1.         0.97518859 0.55242533 0.41955197 1.\n",
      " 0.9805287  0.57968264 0.42841029 1.         0.97920758 0.54679275\n",
      " 0.40687975 1.         0.96794994 0.47396039 0.37868186 1.\n",
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      " 0.37937907 1.         0.95170795 0.42540418 0.37541028 1.\n",
      " 0.93587856 0.3906178  0.37788741 1.         0.9366386  0.40193133\n",
      " 0.38111525 1.         0.95266602 0.5072211  0.44929714 1.\n",
      " 0.88881019 0.74362263 0.78260148 1.         0.90858023 0.88123144\n",
      " 0.90686824 1.         0.99239401 0.99214156 0.99238663 1.\n",
      " 0.98371705 0.9455817  0.94682123 1.         0.92595692 0.55461413\n",
      " 0.55357175 1.         0.91961498 0.41844781 0.41055068 1.\n",
      " 0.93065468 0.42251431 0.39730399 1.         0.93400729 0.43583901\n",
      " 0.39561897 1.         0.92135484 0.39685968 0.39153169 1.\n",
      " 0.90941161 0.36809323 0.39284227 1.         0.91090176 0.36716154\n",
      " 0.39024487 1.         0.89351612 0.33719055 0.39618491 1.\n",
      " 0.8785042  0.31597825 0.40255458 1.         0.86850767 0.31563172\n",
      " 0.40857442 1.         0.89096715 0.41387347 0.46752147 1.\n",
      " 0.86340873 0.72328482 0.79057715 1.         0.92556112 0.90441857\n",
      " 0.93323397 1.         0.99662035 0.99642759 0.99670113 1.\n",
      " 0.95115957 0.91563286 0.9332242  1.         0.77690036 0.42399461\n",
      " 0.58554141 1.         0.74106579 0.24338068 0.45059597 1.\n",
      " 0.74412716 0.24369708 0.4479012  1.         0.74985929 0.24696095\n",
      " 0.4469618  1.         0.74463582 0.24176418 0.44688006 1.\n",
      " 0.74492908 0.2411211  0.44567158 1.         0.73319847 0.23406501\n",
      " 0.45251348 1.         0.73737064 0.23523352 0.45057038 1.\n",
      " 0.75890295 0.24469602 0.44168501 1.         0.7499281  0.24409195\n",
      " 0.44082059 1.         0.73939422 0.31849881 0.50572959 1.\n",
      " 0.80690054 0.6965871  0.78488522 1.         0.88728433 0.87433686\n",
      " 0.90041122 1.         0.99206284 0.99194685 0.992192   1.\n",
      " 0.95395633 0.92894337 0.95498888 1.         0.59500038 0.36190707\n",
      " 0.61625354 1.         0.44266026 0.1299841  0.47839956 1.\n",
      " 0.428676   0.12427121 0.46565855 1.         0.42829196 0.1240721\n",
      " 0.46313919 1.         0.42290738 0.1210166  0.46644929 1.\n",
      " 0.41884817 0.12159585 0.46446782 1.         0.43683499 0.12690867\n",
      " 0.47290315 1.         0.43102814 0.12723763 0.46324364 1.\n",
      " 0.4178413  0.12356702 0.45575914 1.         0.38879383 0.11788402\n",
      " 0.44528486 1.         0.46498566 0.21991363 0.51703017 1.\n",
      " 0.75254083 0.68393563 0.7747296  1.         0.90270828 0.89859942\n",
      " 0.91326732 1.         0.9960326  0.99599912 0.99613345 1.\n",
      " 0.96846552 0.94484187 0.95750785 1.         0.71976821 0.52947782\n",
      " 0.66264718 1.         0.54742467 0.34294441 0.52983866 1.\n",
      " 0.53373905 0.33721464 0.51843878 1.         0.53459389 0.33576036\n",
      " 0.51980122 1.         0.53211154 0.33661107 0.51556438 1.\n",
      " 0.53093367 0.33583813 0.51997911 1.         0.53984764 0.33837839\n",
      " 0.52937484 1.         0.53746117 0.33940667 0.52082025 1.\n",
      " 0.52552976 0.33409713 0.51412291 1.         0.52739167 0.33761479\n",
      " 0.51759812 1.         0.63373553 0.42987628 0.58711441 1.\n",
      " 0.81499231 0.75723623 0.79774988 1.         0.89535702 0.89442022\n",
      " 0.89878526 1.         0.99295804 0.99295456 0.99299345 1.\n",
      " 0.99208045 0.98931474 0.98972292 1.         0.96022348 0.93642111\n",
      " 0.94231485 1.         0.93766793 0.90935834 0.91936265 1.\n",
      " 0.94033209 0.91207756 0.92205229 1.         0.93709027 0.9085198\n",
      " 0.91877254 1.         0.93842664 0.91046447 0.92026376 1.\n",
      " 0.91978738 0.8917078  0.90192735 1.         0.93271561 0.90424136\n",
      " 0.91476281 1.         0.94351979 0.91512041 0.92519704 1.\n",
      " 0.93159388 0.90374967 0.91365979 1.         0.9397228  0.9115604\n",
      " 0.92161503 1.         0.95528314 0.92803183 0.93586516 1.\n",
      " 0.97931798 0.97255616 0.97416447 1.         0.99046246 0.99038708\n",
      " 0.99059891 1.         0.99965002 0.99964992 0.99965186 1.\n",
      " 0.99975555 0.99974823 0.99974723 1.         0.99902322 0.99895473\n",
      " 0.99894955 1.         0.99811918 0.99802801 0.99802664 1.\n",
      " 0.99838278 0.99829098 0.99828986 1.         0.99811165 0.9980196\n",
      " 0.99801843 1.         0.9961368  0.99604527 0.99604437 1.\n",
      " 0.97159097 0.97149956 0.97149875 1.         0.99122134 0.9911295\n",
      " 0.99112849 1.         0.99864837 0.99855638 0.99855522 1.\n",
      " 0.99784632 0.99775493 0.99775415 1.         0.99840261 0.9983109\n",
      " 0.99830983 1.         0.99900039 0.99891824 0.99891377 1.\n",
      " 0.99991935 0.99990101 0.99989927 1.         0.99997397 0.99997378\n",
      " 0.99997406 1.         0.99999975 0.99999975 0.99999975 1.        ]\n"
     ]
    }
   ],
   "source": [
    "data = []\n",
    "labels = []\n",
    "for category_idx, category in enumerate(categories):\n",
    "    cat_path = \"\"\n",
    "    if category == 'noise':\n",
    "#         cat_path = 'noise_spectrograms' # actual code\n",
    "        cat_path = 'noise_test' # just for testing\n",
    "    else:\n",
    "#         cat_path = 'orca_spectrograms' # actual code\n",
    "        cat_path = 'orca_test' # just for testing\n",
    "    for file in os.listdir(os.path.join(input_dir, cat_path)):\n",
    "        img_path = os.path.join(input_dir, cat_path, file)\n",
    "        img = imread(img_path)\n",
    "        img = resize(img, (15, 15))\n",
    "        print(img)\n",
    "        data.append(img.flatten())\n",
    "        print(img.flatten())\n",
    "        labels.append(category_idx)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "cb682476",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = np.asarray(data)\n",
    "labels = np.asarray(labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b15e2c59",
   "metadata": {},
   "outputs": [],
   "source": [
    "# TRAIN/TEST SPLIT\n",
    "x_train, x_test, y_train, y_test = train_test_split(data, labels, test_size=0.2, \n",
    "                                                     shuffle=True, stratify=labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ebca10b6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: black;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-1 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-1 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content {\n",
       "  max-height: 0;\n",
       "  max-width: 0;\n",
       "  overflow: hidden;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  max-height: 200px;\n",
       "  max-width: 100%;\n",
       "  overflow: auto;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-1 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-1 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 1ex;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-1 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>GridSearchCV(cv=StratifiedKFold(n_splits=3, random_state=None, shuffle=False),\n",
       "             estimator=SVC(),\n",
       "             param_grid=[{&#x27;C&#x27;: [1, 10, 100, 1000],\n",
       "                          &#x27;gamma&#x27;: [0.01, 0.001, 0.0001]}])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" ><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;GridSearchCV<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.model_selection.GridSearchCV.html\">?<span>Documentation for GridSearchCV</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>GridSearchCV(cv=StratifiedKFold(n_splits=3, random_state=None, shuffle=False),\n",
       "             estimator=SVC(),\n",
       "             param_grid=[{&#x27;C&#x27;: [1, 10, 100, 1000],\n",
       "                          &#x27;gamma&#x27;: [0.01, 0.001, 0.0001]}])</pre></div> </div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" ><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">estimator: SVC</label><div class=\"sk-toggleable__content fitted\"><pre>SVC()</pre></div> </div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" ><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;SVC<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.svm.SVC.html\">?<span>Documentation for SVC</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>SVC()</pre></div> </div></div></div></div></div></div></div></div></div>"
      ],
      "text/plain": [
       "GridSearchCV(cv=StratifiedKFold(n_splits=3, random_state=None, shuffle=False),\n",
       "             estimator=SVC(),\n",
       "             param_grid=[{'C': [1, 10, 100, 1000],\n",
       "                          'gamma': [0.01, 0.001, 0.0001]}])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# TRAIN CLASSIFIER\n",
    "classifier = SVC()\n",
    "\n",
    "# actually training 12 classifiers, later choose best one\n",
    "parameters = [{'gamma': [0.01, 0.001, 0.0001], 'C': [1, 10, 100, 1000]}]\n",
    "\n",
    "# only for test datasets\n",
    "cv = StratifiedKFold(n_splits=3)\n",
    "\n",
    "grid_search = GridSearchCV(classifier, parameters, cv=cv) # remove cv=cv parameter for actual \n",
    "grid_search.fit(x_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "bf6f450c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "50.0% of samples were correctly classified\n"
     ]
    }
   ],
   "source": [
    "# TEST PERFORMANCE\n",
    "# choose best classifier out of the 12\n",
    "best_estimator = grid_search.best_estimator_\n",
    "y_prediction = best_estimator.predict(x_test) \n",
    "score = accuracy_score(y_prediction, y_test)\n",
    "\n",
    "print('{}% of samples were correctly classified'.format(str(score * 100)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "98b6b807",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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