{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7111c9f7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "43\n"
     ]
    }
   ],
   "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 is loaded from https://www.kaggle.com/datasets/zalando-research/fashionmnist\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",
    "\n",
    "# Data cleanup\n",
    "# Check the duplicates.\n",
    "duplicates = data_train.duplicated().sum()\n",
    "print(duplicates)\n",
    "# Remove duplicates.\n",
    "data_train.drop_duplicates(inplace=True)\n",
    "# Labels of each class.\n",
    "labels = ['Tees', 'Trouser', 'Pullover', 'Dress', 'Coat', 'Sandal', 'Shirt', 'Sneaker', 'Bag', 'Ankle boots']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "81d9b30b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "done\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Data preprocessing & pipeline\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from sklearn.model_selection import cross_validate\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "# Drop the label column from training set and call it axis 1\n",
    "X = data_train.drop('label', axis=1)\n",
    "y = data_train.label\n",
    "# print(y)\n",
    "xx = X[0:5000]\n",
    "yy = y[0:5000]\n",
    "# We need to create a normalizer instance using MinMaxScaler object.\n",
    "normalize = MinMaxScaler()\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",
    "ran = 10\n",
    "for k in range(1, ran):\n",
    "    # Initialize a KNN model object with k\n",
    "    knn = KNeighborsClassifier(k)\n",
    "    # We define the operations to be performed in the pipeline in a sequence. Here we first\n",
    "    # normalize the data and then pass the estimator.\n",
    "    pipeline = [('normalize', normalize), ('knn', knn)]\n",
    "    pipe = Pipeline(steps = pipeline)\n",
    "    # We perform 10-fold cross validation.\n",
    "    cross_dict = cross_validate(pipe, 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",
    "# 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('Test Elbow Graph')\n",
    "plt.xlabel('K')\n",
    "plt.ylabel('Test error rate')\n",
    "sns.lineplot(x = range(1,ran), y = test_error_rate, color = 'red')\n",
    "# # plt.title('Train Elbow Graph')\n",
    "# # plt.xlabel('K')\n",
    "# # plt.ylabel('Train error rate')\n",
    "# # sns.lineplot(x = range(1,ran), y = train_error_rate, color = 'red')\n",
    "print('done')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "294c493e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0 9 6 ... 2 3 2]\n"
     ]
    }
   ],
   "source": [
    "# Instantiating a knn object with k=4, since 4 produced the least error rate.\n",
    "knn = KNeighborsClassifier(n_neighbors=4)\n",
    "# Normalize the predictor.\n",
    "X_norm = normalize.fit_transform(xx)\n",
    "# Fit the transformed data.\n",
    "knn.fit(X_norm, yy)\n",
    "# Making predictions from the training dataset\n",
    "y_pred = knn.predict(X_norm)\n",
    "print(y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6e5e788c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The training data accuracy score is 87.58\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",
    "# We create confusion matrix for the training set\n",
    "sns.heatmap(confusion_matrix(yy, y_pred), annot=True, cmap='mako', fmt='.5g')\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('Actuals')\n",
    "# print(classification_report(yy, y_pred))\n",
    "# Get the accuracy_score\n",
    "training_data_accuracy = round(100 * accuracy_score(yy, y_pred), 2)\n",
    "print(f'The training data accuracy score is {training_data_accuracy}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e525fd6e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The test accuracy score is 81.2\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# splitting the testing set into predictor and target variables\n",
    "X_test = data_test.drop('label', axis = 1)\n",
    "y_test = data_test.label\n",
    "# Normalize the test dataset\n",
    "X_test_norm = normalize.transform(X_test)\n",
    "# Make predictions from the test dataset using the same knn model\n",
    "y_test_pred = knn.predict(X_test_norm)\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",
    "# print(classification_report(y_test, y_test_pred))\n",
    "# Get the accuracy score\n",
    "test_accuracy = round(100 * accuracy_score(y_test, y_test_pred), 2)\n",
    "print(f'The test accuracy score is {test_accuracy}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f1fd1dfa",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
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