student_task.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# German traffic sign classification\n",
    "\n",
    "### Aufgaben:\n",
    "1. Suchen Sie sich 10-20 unterschiedliche Schilder aus, welche Sie mit Ihrem Modell klassifizieren wollen. Trainieren Sie dann ein Modell Ihrer Wahl. Wählen Sie danach eine der folgenden zusätzlichen Aufgaben aus:\n",
    "    - Erstellen Sie ein Convolutional Neural Network und ein Fully Connected Neural Network und vergleichen Sie die Leistung beider Modelle mit Ihrem Modell.\n",
    "    - Trainieren Sie ein Modell mit farbigen und ein Modell mit grauen Bildern (Farbbilder umgewandelt in Graustufen) und vergleichen Sie die Performance von beiden Modellen mit Ihrem Modell.\n",
    "    - Erstellen Sie zwei weitere Modelle und vergleichen Sie deren Performance. Das zweite Modell soll alle 43 Verkehrsschilder klassifizieren und das dritte Modell nur ein Verkehrsschild erkennen können.\n",
    "    - Benutzen Sie das Framework [Optuna](https://optuna.readthedocs.io/en/stable/index.html), um die Hyperparameter (Anzahl Layer, Anzahl Neuronen pro Layer, …) Ihres Modells zu optimieren. Welchen Vorteil bringt es [Optuna](https://optuna.readthedocs.io/en/stable/index.html) zu nutzen?\n",
    "    - Trainieren Sie ein Modell mit einer hohen Accuracy und ein Modell mit einer geringen Latenz. Wie stark unterscheidet sich die Latenz und Accuracy von beiden Modellen. Die Latenz ist die Zeit, die das Modell braucht, ein Verkehrsschild zu klassifizieren.\n",
    "    - Machen Sie eigene Bilder von Schildern und testen Sie Ihr Modell mit den eigenen Bildern. Variieren Sie Lichtverhältnisse, Wetter, … Die Bilder in den Trainingsdaten haben eine Auflösung von 32 x 32 Pixeln.\n",
    "2. Sie bekommen ein paar Tage vor der Abgabe einen Testdatensatz. Testet einmal eure erstellten Modelle mit den Testdaten und prüft, wie gut die Modelle unbekannte Daten klassifizieren können.\n",
    " **Verändern Sie danach <u>nicht</u> mehr die Modelle, um ein besseres Ergebnis zu bekommen**. Das Ziel ist es zu prüfen, wie gut eure Modelle in der Realität funktionieren würden.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import libraries and datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import tensorflow as tf\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import pickle\n",
    "import random\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(os.path.join(\"dataset\", \"train.p\"), mode='rb') as training_data:\n",
    "    train = pickle.load(training_data)\n",
    "with open(os.path.join(\"dataset\", \"valid.p\"), mode='rb') as validation_data:\n",
    "    valid = pickle.load(validation_data)\n",
    "with open(os.path.join(\"dataset\", \"test.p\"), mode='rb') as test_data:\n",
    "    test = pickle.load(test_data)\n",
    "\n",
    "X_train, y_train = train['features'], train['labels']\n",
    "X_valid, y_valid = valid['features'], valid['labels']\n",
    "X_test, y_test = test['features'], test['labels']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[41, 40, 37, 36, 35, 34, 33, 31, 27, 26, 18, 17, 16, 15, 14, 13, 12, 11, 10, 1]\n",
      "[ 0  0  0 ... 11 11 11]\n",
      "[ 0  0  0 ... 11 11 11]\n",
      "[12 19  6 ... 16  6 18]\n"
     ]
    }
   ],
   "source": [
    "# TODO: Select 10-20 different signs from the dataset\n",
    "selected = [\n",
    "    41,\n",
    "    40,\n",
    "    37,\n",
    "    36,\n",
    "    35,\n",
    "    34,\n",
    "    33,\n",
    "    31,\n",
    "    27,\n",
    "    26,\n",
    "    18,\n",
    "    17,\n",
    "    16,\n",
    "    15,\n",
    "    14,\n",
    "    13,\n",
    "    12,\n",
    "    11,\n",
    "    10,\n",
    "    1,\n",
    "]\n",
    "\n",
    "print(selected)\n",
    "\n",
    "train_select: list = list()\n",
    "for label in y_train:\n",
    "    train_select.append(label in selected)\n",
    "\n",
    "valid_select: list = list()\n",
    "for label in y_valid:\n",
    "    valid_select.append(label in selected)\n",
    "\n",
    "test_select: list = list()\n",
    "for label in y_test:\n",
    "    test_select.append((label in selected))\n",
    "\n",
    "X_train = X_train[train_select]\n",
    "y_train = y_train[train_select]\n",
    "for index, label in enumerate(y_train):\n",
    "    y_train[index] = selected.index(label)\n",
    "X_valid = X_valid[valid_select]\n",
    "y_valid = y_valid[valid_select]\n",
    "for index, label in enumerate(y_valid):\n",
    "    y_valid[index] = selected.index(label)\n",
    "X_test = X_test[test_select]\n",
    "y_test = y_test[test_select]\n",
    "for index, label in enumerate(y_test):\n",
    "    y_test[index] = selected.index(label)\n",
    "\n",
    "print(y_train)\n",
    "print(y_valid)\n",
    "print(y_test)\n",
    "\n",
    "# print(\"Count of selected labels:\", len(selected))\n",
    "# class Picture:\n",
    "#     def __init__(self, img, label):\n",
    "#         self.img = img\n",
    "#         self.label = label\n",
    "# train: list = list()\n",
    "# for img, label in zip(X_train, y_train):\n",
    "#     if label in selected:\n",
    "#         train.append(Picture(img, label))\n",
    "# valid: list = list()\n",
    "# for (img, label) in zip(X_valid, y_valid):\n",
    "#     if label in selected:\n",
    "#         valid.append(Picture(img, label))\n",
    "#\n",
    "# print(y_train)\n",
    "# print(y_valid)\n",
    "# for pic in train:\n",
    "#     if pic.label not in selected:\n",
    "#         print(\"Fehler\")\n",
    "# for pic in valid:\n",
    "#     if pic.label not in selected:\n",
    "#         print(\"Fehler\")\n",
    "#\n",
    "# X_train = list()\n",
    "# y_train = list()\n",
    "# for pic in train:\n",
    "#     X_train.append(pic.img)\n",
    "#     y_train.append(pic.label)\n",
    "#\n",
    "# X_valid = list()\n",
    "# y_valid = list()\n",
    "# for pic in valid:\n",
    "#     X_valid.append(pic.img)\n",
    "#     y_valid.append(pic.label)\n",
    "#\n",
    "# X_train = np.array(X_train)\n",
    "# y_train = np.array(y_train)\n",
    "# X_valid = np.array(X_valid)\n",
    "# y_valid = np.array(y_valid)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Shuffle and configure the datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.utils import shuffle\n",
    "X_train, y_train = shuffle(X_train, y_train)\n",
    "X_valid, y_valid = shuffle(X_valid, y_valid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Normalize image to [0, 1]\n",
    "X_train_norm = X_train / 255\n",
    "X_valid_norm = X_valid / 255"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "<matplotlib.image.AxesImage at 0x7f5245e47c10>"
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Check that the images have been correctly converted and normalised\n",
    "i = random.randint(1, len(X_train_norm))\n",
    "plt.grid(False)\n",
    "plt.imshow(X_train[i])\n",
    "plt.figure()\n",
    "plt.grid(False)\n",
    "plt.imshow(X_train_norm[i].squeeze(), cmap = 'gray') # cmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1000x1000 with 20 Axes>",
      "image/png": "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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grid_width = 5\n",
    "grid_height = 4\n",
    "\n",
    "fig, axes = plt.subplots(grid_height, grid_width, figsize = (10,10))\n",
    "axes = axes.ravel()\n",
    "\n",
    "for i in np.arange(0, grid_width * grid_height):\n",
    "    index = np.random.randint(0, len(X_train))\n",
    "    axes[i].imshow(X_train[index])\n",
    "    axes[i].set_title(y_train[index], fontsize = 15)\n",
    "    axes[i].axis('off')\n",
    "\n",
    "plt.subplots_adjust(hspace = 0.3)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1000x1000 with 20 Axes>",
      "image/png": "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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grid_width = 5\n",
    "grid_height = 4\n",
    "\n",
    "fig, axes = plt.subplots(grid_height, grid_width, figsize = (10,10))\n",
    "axes = axes.ravel()\n",
    "\n",
    "for i in np.arange(0, grid_width * grid_height):\n",
    "    index = np.random.randint(0, len(X_valid))\n",
    "    axes[i].imshow(X_valid[index])\n",
    "    axes[i].set_title(y_valid[index], fontsize = 15)\n",
    "    axes[i].axis('off')\n",
    "\n",
    "plt.subplots_adjust(hspace = 0.3)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This layer creates a convolution kernel that is convolved with the layer input to produce a tensor of outputs. If use_bias is True, a bias vector is created and added to the outputs. Finally, if activation is not None, it is applied to the outputs as well.# Create the Convolutional Neural Network with keras\n",
    "For example a CNN that recognises handwritten numbers: [https://adamharley.com/nn_vis/cnn/2d.html](https://adamharley.com/nn_vis/cnn/2d.html)\n",
    "Here a fully connected neural network that also recognise handwritten numbers: [https://adamharley.com/nn_vis/mlp/2d.html](https://adamharley.com/nn_vis/mlp/2d.html)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use CNN.add() to add a [Layer](https://www.tensorflow.org/api_docs/python/tf/keras/layers) to your model. Here is a list of layers that might be useful:\n",
    "- [Convolution Layer](https://www.tensorflow.org/api_docs/python/tf/keras/layers/Conv2D): layers.Conv2D()\n",
    "- [Average Pooling](https://www.tensorflow.org/api_docs/python/tf/keras/layers/AveragePooling2D): layers.AveragePooling2D()\n",
    "- [Max Pooling](https://www.tensorflow.org/api_docs/python/tf/keras/layers/MaxPool2D): layers.MaxPool2D()\n",
    "- [Dropout](https://www.tensorflow.org/api_docs/python/tf/keras/layers/Dropout): layers.Dropout()\n",
    "- [Flattens](https://www.tensorflow.org/api_docs/python/tf/keras/layers/Flatten) the input. 2D -> 1D: layers.Flatten()\n",
    "- [Densely-connected NN layer](https://www.tensorflow.org/api_docs/python/tf/keras/layers/Dense): layers.Dense()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_10\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " conv2d_32 (Conv2D)          (None, 32, 32, 16)        448       \n",
      "                                                                 \n",
      " average_pooling2d_2 (Averag  (None, 16, 16, 16)       0         \n",
      " ePooling2D)                                                     \n",
      "                                                                 \n",
      " conv2d_33 (Conv2D)          (None, 14, 14, 32)        4640      \n",
      "                                                                 \n",
      " max_pooling2d_18 (MaxPoolin  (None, 7, 7, 32)         0         \n",
      " g2D)                                                            \n",
      "                                                                 \n",
      " conv2d_34 (Conv2D)          (None, 5, 5, 32)          9248      \n",
      "                                                                 \n",
      " flatten_10 (Flatten)        (None, 800)               0         \n",
      "                                                                 \n",
      " dropout_7 (Dropout)         (None, 800)               0         \n",
      "                                                                 \n",
      " dense_22 (Dense)            (None, 64)                51264     \n",
      "                                                                 \n",
      " dense_23 (Dense)            (None, 20)                1300      \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 66,900\n",
      "Trainable params: 66,900\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "from tensorflow.keras import datasets, layers, models\n",
    "from tensorflow import keras\n",
    "model = keras.models.Sequential()\n",
    "\n",
    "# Only in the first layer you have to select the input_shape of the data (image).\n",
    "# TODO: Replace the question marks:\n",
    "# model.add(layers.Conv2D( filters = ? , kernel_size = ( ? , ? ), padding = ? , activation = ? , input_shape = ( ? , ? , ?)))\n",
    "model.add(keras.layers.Conv2D(filters=16, kernel_size=(3, 3), padding=\"same\", activation=\"relu\", input_shape=(32, 32, 3)))\n",
    "# TODO: Add layers to the model: # Prints a summary of your network model.summary()\n",
    "# model.add(keras.layers.MaxPool2D((2, 2)))\n",
    "model.add(keras.layers.AvgPool2D((2, 2)))\n",
    "model.add(keras.layers.Conv2D(32, (3, 3), activation=\"relu\"))\n",
    "model.add(keras.layers.MaxPool2D((2, 2)))\n",
    "model.add(keras.layers.Conv2D(32, (3, 3), activation=\"relu\"))\n",
    "model.add(keras.layers.Flatten())\n",
    "model.add(keras.layers.Dropout(0.2))\n",
    "model.add(keras.layers.Dense(64, activation=\"relu\"))\n",
    "model.add(keras.layers.Dense(len(selected)))\n",
    "\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Compile your model\n",
    "When you want, you can change the [optimizer](https://www.tensorflow.org/api_docs/python/tf/keras/optimizers) or the [loss function](https://www.tensorflow.org/api_docs/python/tf/keras/losses)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.compile(optimizer = 'Adam', loss = keras.losses.SparseCategoricalCrossentropy(from_logits=True), metrics = ['accuracy'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Train your model\n",
    "The documentation of the fit method: [https://www.tensorflow.org/api_docs/python/tf/keras/Model#fit](https://www.tensorflow.org/api_docs/python/tf/keras/Model#fit)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "1058/1058 - 8s - loss: 0.5766 - accuracy: 0.8356 - val_loss: 0.2568 - val_accuracy: 0.9278 - 8s/epoch - 8ms/step\n",
      "Epoch 2/10\n",
      "1058/1058 - 7s - loss: 0.0923 - accuracy: 0.9750 - val_loss: 0.2172 - val_accuracy: 0.9463 - 7s/epoch - 7ms/step\n",
      "Epoch 3/10\n",
      "1058/1058 - 7s - loss: 0.0517 - accuracy: 0.9858 - val_loss: 0.2704 - val_accuracy: 0.9468 - 7s/epoch - 6ms/step\n",
      "Epoch 4/10\n",
      "1058/1058 - 7s - loss: 0.0382 - accuracy: 0.9901 - val_loss: 0.2007 - val_accuracy: 0.9421 - 7s/epoch - 7ms/step\n",
      "Epoch 5/10\n",
      "1058/1058 - 7s - loss: 0.0286 - accuracy: 0.9918 - val_loss: 0.1082 - val_accuracy: 0.9681 - 7s/epoch - 7ms/step\n",
      "Epoch 6/10\n",
      "1058/1058 - 7s - loss: 0.0191 - accuracy: 0.9952 - val_loss: 0.0700 - val_accuracy: 0.9815 - 7s/epoch - 7ms/step\n",
      "Epoch 7/10\n",
      "1058/1058 - 7s - loss: 0.0203 - accuracy: 0.9934 - val_loss: 0.1604 - val_accuracy: 0.9690 - 7s/epoch - 7ms/step\n",
      "Epoch 8/10\n",
      "1058/1058 - 7s - loss: 0.0092 - accuracy: 0.9976 - val_loss: 0.2991 - val_accuracy: 0.9606 - 7s/epoch - 7ms/step\n",
      "Epoch 9/10\n",
      "1058/1058 - 7s - loss: 0.0139 - accuracy: 0.9962 - val_loss: 0.1468 - val_accuracy: 0.9713 - 7s/epoch - 6ms/step\n",
      "Epoch 10/10\n",
      "1058/1058 - 7s - loss: 0.0151 - accuracy: 0.9953 - val_loss: 0.1361 - val_accuracy: 0.9755 - 7s/epoch - 6ms/step\n"
     ]
    }
   ],
   "source": [
    "# TODO: Choose the batch size and the epochs\n",
    "history = model.fit(x = X_train_norm,\n",
    "                    y = y_train,\n",
    "                    batch_size = 16,\n",
    "                    epochs = 10,\n",
    "                    verbose = 2,\n",
    "                    validation_data = (X_valid_norm, y_valid))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Save your model\n",
    "Create a folder for your models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.save('saved_model/model_1.h5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analyse the results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "dict_keys(['loss', 'accuracy', 'val_loss', 'val_accuracy'])"
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "history.history.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [],
   "source": [
    "accuracy = history.history['accuracy']\n",
    "val_accuracy = history.history['val_accuracy']\n",
    "loss = history.history['loss']\n",
    "val_loss = history.history['val_loss']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0.5, 1.0, 'Training and Validation loss')"
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "epochs = range(len(accuracy))\n",
    "plt.plot(epochs, loss, 'b', label = 'Training loss')\n",
    "plt.plot(epochs, val_loss, 'r', label = 'Validation loss')\n",
    "plt.title('Training and Validation loss')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0.5, 1.0, 'Training and Validation accuracy')"
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(epochs, accuracy, 'ro', label = 'Training accuracy')\n",
    "plt.plot(epochs, val_accuracy, 'r', label = 'Validation accuracy')\n",
    "plt.title('Training and Validation accuracy')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load your model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = tf.keras.models.load_model('saved_model/model_1.h5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Test your model with the test dataset\n",
    "If you don't have the test dataset use the validation dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "193/193 [==============================] - 1s 4ms/step - loss: 0.3654 - accuracy: 0.9597\n",
      "Test Accuracy: 0.9596747756004333\n"
     ]
    }
   ],
   "source": [
    "X_test_norm = X_test / 255\n",
    "score = model.evaluate(X_test_norm, y_test)\n",
    "print('Test Accuracy: {}'.format(score[1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "193/193 [==============================] - 1s 4ms/step\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "predicted_classes = np.argmax(model.predict(X_test_norm), axis=-1)\n",
    "y_true = y_test\n",
    "\n",
    "cm = confusion_matrix(y_true, predicted_classes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "<AxesSubplot: >"
     },
     "execution_count": 166,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 2500x2500 with 2 Axes>",
      "image/png": "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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (25, 25))\n",
    "sns.heatmap(cm, annot = True)"
   ]
  }
 ],
 "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": "3.10.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}