{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "86291b5d",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 25 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "from sklearn.metrics import confusion_matrix\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "# Load and convert the training and test dataset. This will convert the csv to dataframe.\n",
    "data_train = pd.read_csv('/Users/vikramkalta/Desktop/Assignment_AI/Fashion_MNIST_Data/fashion-mnist_train.csv')\n",
    "data_test = pd.read_csv('/Users/vikramkalta/Desktop/Assignment_AI/Fashion_MNIST_Data/fashion-mnist_test.csv')\n",
    "X_train = data_train.iloc[:, 1:].to_numpy()\n",
    "y_train = data_train.iloc[:, 0]\n",
    "labels = ['Tees', 'Trouser', 'Pullover', 'Dress', 'Coat', 'Sandal', 'Shirt', 'Sneaker', 'Bag', 'Ankle boots']\n",
    "# Data cleanup\n",
    "# Check the duplicates.\n",
    "duplicates = data_train.duplicated().sum()\n",
    "# Remove duplicates.\n",
    "data_train.drop_duplicates(inplace=True)\n",
    "# We want to check all the unique labels present in the data.\n",
    "plt.figure(figsize=(10,10))\n",
    "for i in range(25):\n",
    "    plt.subplot(5,5,i+1)\n",
    "    plt.xticks([])\n",
    "    plt.yticks([])\n",
    "    plt.grid(False)\n",
    "    plt.imshow(X_train[i].reshape(28, 28), cmap=\"binary\")\n",
    "    plt.xlabel(labels[y_train[i]])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "20ddc706",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loaded\n",
      "459\n",
      "50000\n"
     ]
    }
   ],
   "source": [
    "# Data preprocessing & pipeline\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.model_selection import cross_validate\n",
    "from sklearn import tree\n",
    "import graphviz\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "\n",
    "xx = X_train[0:50000]\n",
    "yy = y_train[0:50000]\n",
    "\n",
    "start = 7\n",
    "end = 13\n",
    "\n",
    "# This will create different models for different values of k, in order to find the optimal\n",
    "# value of k using elbow graph\n",
    "test_error_rate = []\n",
    "train_error_rate = []\n",
    "# for k in range(start, end):\n",
    "#     pca = PCA(n_components=0.98) # keep 95% of variance\n",
    "#     # Train a decision tree classifier on the reduced data\n",
    "#     dt = DecisionTreeClassifier(max_depth=k)\n",
    "#     pipeline = [('dt', dt)]\n",
    "#     pipe = Pipeline(steps=pipeline)\n",
    "#     # We perform 5-fold cross validation.\n",
    "# #     cross_dict = cross_validate(pipe, xx, yy, cv=10, scoring='accuracy', return_train_score=True)\n",
    "#     cross_dict = cross_validate(pipe, pca.fit_transform(xx), yy, cv=10, scoring='accuracy', return_train_score=True)\n",
    "#     # capturing train and test error rate for elbow graph\n",
    "#     test_error_rate.append(cross_dict['test_score'].mean())\n",
    "#     train_error_rate.append(cross_dict['train_score'].mean())\n",
    "\n",
    "\n",
    "print('loaded')\n",
    "# # # train_error_rate = [1 - acc for acc in train_error_rate]\n",
    "# test_error_rate = [1 - acc for acc in test_error_rate]\n",
    "# plt.title('Elbow Graph')\n",
    "# plt.xlabel('Depth')\n",
    "# plt.ylabel('error_rate')\n",
    "# sns.lineplot(x = range(start,end), y = test_error_rate, color = 'red')\n",
    "\n",
    "# We train with max depth 11 since it has lowest error rate\n",
    "# Perform PCA for dimensionality reduction\n",
    "pca = PCA(n_components=0.99) # keep 95% of variance\n",
    "X_train_reduced = pca.fit_transform(xx)\n",
    "print(len(X_train_reduced[0]))\n",
    "print(len(X_train_reduced))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "af894b0c",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.7629\n",
      "76.29\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix, classification_report, accuracy_score\n",
    "\n",
    "# Train a decision tree classifier on the reduced data\n",
    "clf = DecisionTreeClassifier(max_depth=12)\n",
    "clf.fit(X_train_reduced, yy)\n",
    "# clf.fit(xx, yy)\n",
    "\n",
    "X_test = data_test.iloc[:, 1:].to_numpy()\n",
    "y_test = data_test.iloc[:, 0]\n",
    "\n",
    "# Reduce the test data using the same PCA model\n",
    "X_test_reduced = pca.transform(X_test)\n",
    "\n",
    "# Generate predictions for the test data\n",
    "y_test_pred = clf.predict(X_test_reduced)\n",
    "# y_test_pred = clf.predict(X_test)\n",
    "\n",
    "# Calculate the accuracy of the predictions\n",
    "accuracy = accuracy_score(y_test, y_test_pred)\n",
    "print(\"Accuracy:\", accuracy)\n",
    "\n",
    "# Now we evaluate the model using confusion matrix for this test dataset\n",
    "sns.heatmap(confusion_matrix(y_test, y_test_pred), annot=True, cmap='mako', fmt='.5g')\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('Actuals')\n",
    "# Get the accuracy score\n",
    "test_accuracy = round(100 * accuracy_score(y_test, y_test_pred), 2)\n",
    "print(test_accuracy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4a5f9280",
   "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": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
