{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "gpuType": "T4",
      "collapsed_sections": [
        "XL0LLioRGEPB",
        "VRAeTOOTQUzn"
      ]
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nVg6cFtWjKAx",
        "outputId": "5b90473b-f314-4e65-e355-9000aed3b481"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Image preprocessing"
      ],
      "metadata": {
        "id": "XL0LLioRGEPB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "import random\n",
        "from PIL import Image\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Define the main folder path\n",
        "main_folder = '/content/drive/MyDrive/Math symbol dataset'\n",
        "\n",
        "# List all subfolders\n",
        "subfolders = [os.path.join(main_folder, f) for f in os.listdir(main_folder) if os.path.isdir(os.path.join(main_folder, f))]\n",
        "\n",
        "# List to store one image from each folder and corresponding folder names\n",
        "selected_images = []\n",
        "folder_names = []\n",
        "\n",
        "# Pick one random image from each subfolder\n",
        "for folder in subfolders:\n",
        "    images = [os.path.join(folder, img) for img in os.listdir(folder) if img.endswith(('png', 'jpg', 'jpeg'))]\n",
        "    if images:\n",
        "        selected_image = random.choice(images)\n",
        "        selected_images.append(selected_image)\n",
        "        folder_names.append(os.path.basename(folder))\n",
        "\n",
        "# Load images\n",
        "loaded_images = [Image.open(img) for img in selected_images]\n",
        "\n",
        "# Set up the grid size (assuming 8 subfolders)\n",
        "grid_size = (2, 4)  # 2 rows and 4 columns\n",
        "\n",
        "# Create a figure with high DPI\n",
        "fig, axes = plt.subplots(grid_size[0], grid_size[1], figsize=(12, 8), dpi=300)\n",
        "\n",
        "# Flatten axes array for easy iteration\n",
        "axes = axes.flatten()\n",
        "\n",
        "# Display images in the grid and add folder names\n",
        "for ax, img, folder_name in zip(axes, loaded_images, folder_names):\n",
        "    ax.imshow(img)\n",
        "    ax.axis('off')\n",
        "    ax.set_title(folder_name, fontsize=12)\n",
        "\n",
        "# Hide any remaining empty subplots\n",
        "for ax in axes[len(loaded_images):]:\n",
        "    ax.axis('off')\n",
        "\n",
        "# Show the grid\n",
        "plt.tight_layout()\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 659
        },
        "id": "XJzNxB5RWSeK",
        "outputId": "735ab476-1ff5-459f-e05c-f47598906a3d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 3600x2400 with 8 Axes>"
            ],
            "image/png": 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    },
    {
      "cell_type": "markdown",
      "source": [
        "# Results"
      ],
      "metadata": {
        "id": "2RR20-3hK02y"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import cv2\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "import cv2\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import pandas as pd\n",
        "import time\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import accuracy_score\n",
        "from sklearn.metrics import classification_report\n",
        "import numpy as np\n",
        "from sklearn.metrics import roc_auc_score\n",
        "from sklearn.metrics import confusion_matrix\n",
        "from sklearn.model_selection import KFold, cross_val_score\n",
        "from sklearn.metrics import log_loss,cohen_kappa_score\n",
        "from imblearn.metrics import geometric_mean_score\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "plt.style.use('fivethirtyeight')"
      ],
      "metadata": {
        "id": "Wua1jSE32G1N"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "import numpy as np\n",
        "import cv2\n",
        "from tensorflow.keras.utils import to_categorical\n",
        "\n",
        "# Define the path to the dataset folder\n",
        "dataset_path = \"/content/drive/MyDrive/Math symbol dataset\"\n",
        "\n",
        "\n",
        "# Define the list of label folders in the dataset folder\n",
        "label_folders = [\"circle\",\n",
        "\"kite\",\n",
        "\"parallelogram\",\n",
        "\"rectangle\",\n",
        "\"rhombus\",\n",
        "\"square\",\n",
        "\"trapezoid\",\n",
        "\"triangle\"]\n",
        "\n",
        "# Define the size of the input images\n",
        "img_height = 128\n",
        "img_width = 128\n",
        "\n",
        "# Define an empty list to store the images and their labels\n",
        "data = []\n",
        "labels = []\n",
        "\n",
        "# Create a dictionary to map label folders to numerical labels\n",
        "label_mapping = {label: idx for idx, label in enumerate(label_folders)}\n",
        "\n",
        "# Loop over the label folders in the dataset folder\n",
        "for label_folder in label_folders:\n",
        "    # Define the path to the label folder\n",
        "    label_path = os.path.join(dataset_path, label_folder)\n",
        "\n",
        "    # Loop over the images in the label folder\n",
        "    for img_name in os.listdir(label_path):\n",
        "        # Define the path to the image\n",
        "        img_path = os.path.join(label_path, img_name)\n",
        "        # Load the image and resize it to the desired size\n",
        "        img = cv2.imread(img_path)\n",
        "        img = cv2.resize(img, (img_height, img_width))\n",
        "        # Append the image and its numerical label to the data and labels lists\n",
        "        data.append(img)\n",
        "        labels.append(label_mapping[label_folder])\n",
        "\n",
        "# Convert the data and labels lists to numpy arrays\n",
        "data = np.array(data)\n",
        "labels = np.array(labels)\n",
        "\n",
        "# Convert the labels to one-hot encoded vectors\n",
        "# labels = to_categorical(labels, num_classes=len(label_folders))\n",
        "\n",
        "# Print the shape of the data and labels arrays\n",
        "print(\"Data shape:\", data.shape)\n",
        "print(\"Labels shape:\", labels.shape)\n",
        "label_mapping"
      ],
      "metadata": {
        "id": "4uw3TZcYLS5A",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d66eca9f-b407-4851-f37a-3d32a5d779fc"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Data shape: (20000, 128, 128, 3)\n",
            "Labels shape: (20000,)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'circle': 0,\n",
              " 'kite': 1,\n",
              " 'parallelogram': 2,\n",
              " 'rectangle': 3,\n",
              " 'rhombus': 4,\n",
              " 'square': 5,\n",
              " 'trapezoid': 6,\n",
              " 'triangle': 7}"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "calabels = to_categorical(labels, num_classes=len(label_folders))"
      ],
      "metadata": {
        "id": "eEJlbzt0kpgT"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "X_train, X_test, Y_train, Y_test = train_test_split(data,calabels, test_size = 0.2,random_state=0,shuffle=True)"
      ],
      "metadata": {
        "id": "9lcOY53G-cx7"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# CNN results"
      ],
      "metadata": {
        "id": "VRAeTOOTQUzn"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import tensorflow as tf\n",
        "from tensorflow.keras import layers, models\n",
        "\n",
        "def create_simple_neural_network(input_shape, num_classes):\n",
        "    model = models.Sequential()\n",
        "\n",
        "    # Add a simple convolutional layer\n",
        "    model.add(layers.Conv2D(32, (3, 3), activation='relu', input_shape=input_shape))\n",
        "\n",
        "    # Flatten the output and add a dense layer\n",
        "    model.add(layers.Flatten())\n",
        "    model.add(layers.Dense(num_classes, activation='softmax'))\n",
        "\n",
        "    return model\n",
        "\n",
        "# Example input shape (adjust based on your image dimensions and channels)\n",
        "input_shape = (128, 128, 3)\n",
        "\n",
        "# Example number of classes (adjust based on your dataset)\n",
        "num_classes = 8\n",
        "\n",
        "# Create the simplified neural network model\n",
        "simple_neural_network = create_simple_neural_network(input_shape, num_classes)\n",
        "\n",
        "# Display the model summary\n",
        "simple_neural_network.summary()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fEc-EyXm6m1a",
        "outputId": "8d8a678f-81af-4336-d69a-f4288f4a8e74"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model: \"sequential_3\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " conv2d_1 (Conv2D)           (None, 126, 126, 32)      896       \n",
            "                                                                 \n",
            " flatten_3 (Flatten)         (None, 508032)            0         \n",
            "                                                                 \n",
            " dense_3 (Dense)             (None, 8)                 4064264   \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 4065160 (15.51 MB)\n",
            "Trainable params: 4065160 (15.51 MB)\n",
            "Non-trainable params: 0 (0.00 Byte)\n",
            "_________________________________________________________________\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "simple_neural_network.compile(optimizer='adam',loss='categorical_crossentropy',\n",
        "                 metrics=['accuracy'])\n"
      ],
      "metadata": {
        "id": "FBNVZB5j6sor"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "history=simple_neural_network.fit(X_train, Y_train, epochs=10,validation_split=0.2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bl28swkn6vfI",
        "outputId": "09d5888f-e8f1-49c7-f0a5-cdd9bb2e123b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/10\n",
            "400/400 [==============================] - 150s 373ms/step - loss: 1107.5164 - accuracy: 0.4257 - val_loss: 10.5494 - val_accuracy: 0.5328\n",
            "Epoch 2/10\n",
            "400/400 [==============================] - 158s 395ms/step - loss: 3.1392 - accuracy: 0.7955 - val_loss: 10.7725 - val_accuracy: 0.5719\n",
            "Epoch 3/10\n",
            "400/400 [==============================] - 149s 373ms/step - loss: 1.4565 - accuracy: 0.8938 - val_loss: 12.5522 - val_accuracy: 0.5791\n",
            "Epoch 4/10\n",
            "400/400 [==============================] - 136s 341ms/step - loss: 1.1689 - accuracy: 0.9191 - val_loss: 15.1048 - val_accuracy: 0.5672\n",
            "Epoch 5/10\n",
            "400/400 [==============================] - 144s 361ms/step - loss: 1.0561 - accuracy: 0.9330 - val_loss: 15.8294 - val_accuracy: 0.5834\n",
            "Epoch 6/10\n",
            "400/400 [==============================] - 155s 387ms/step - loss: 1.1129 - accuracy: 0.9327 - val_loss: 16.8044 - val_accuracy: 0.5869\n",
            "Epoch 7/10\n",
            "400/400 [==============================] - 161s 403ms/step - loss: 1.0648 - accuracy: 0.9425 - val_loss: 18.0732 - val_accuracy: 0.5859\n",
            "Epoch 8/10\n",
            "400/400 [==============================] - 143s 359ms/step - loss: 0.9328 - accuracy: 0.9489 - val_loss: 18.6828 - val_accuracy: 0.5987\n",
            "Epoch 9/10\n",
            "400/400 [==============================] - 136s 340ms/step - loss: 0.5565 - accuracy: 0.9663 - val_loss: 19.6800 - val_accuracy: 0.6022\n",
            "Epoch 10/10\n",
            "400/400 [==============================] - 132s 331ms/step - loss: 0.6334 - accuracy: 0.9643 - val_loss: 21.2760 - val_accuracy: 0.5794\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "plt.figure(figsize=(7,3), dpi = 100)\n",
        "plt.style.use('fivethirtyeight')\n",
        "plt.plot(history.history['accuracy'], label='Training accuracy')\n",
        "# plt.plot(history.history['val_accuracy'], label='validation accuracy')\n",
        "plt.xticks(np.arange(10), np.arange(1, 10+1))\n",
        "plt.xlabel(\"Epoch\")\n",
        "plt.ylabel(\"Accuracy\")\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.tight_layout()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "v1BRBj2_7DuA",
        "outputId": "9823d2be-546b-434d-973d-8162f895d7c1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 700x300 with 1 Axes>"
            ],
            "image/png": 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qS4z+n/vIkSNYuXIlwsPDoVKpIAgCKlasiMGDB2P48OGoXr16ga9t1KgRgoODcfHixWKd6+jRo+jXrx/kcjlCQkKgUCiwfft2jBgxArGxsZgwYUKRx7h79y46dOiAhIQEdOjQAV27dkVqairCw8PxwQcf4OjRo1i6dGlxu09mphUEbIjOxNfnk/Ewo+jF7191t8W3TVzRzMu+FKojIiIiUzM6lL755pu6r1u0aIERI0agV69esLOzK9br5XI5tNqiw4ZarcbEiRMhlUoRHh6O4OBgAMCnn36KDh064JtvvkGfPn3g6+tb6HGWLFmCZ8+eYd68eRg7dqyufdasWWjZsiXWrl2Lzz77rMjjkPmdjMvC9DPJuPA0u8h9KztKMauxKwbWcICUa40SERGVWUZPuHNzc8O4ceNw5swZ7Ny5E/369St2IAWA8PBwJCYmFrnf0aNHcefOHfTv318XSAHA1dUVU6ZMgUqlwrp164o8zt27dwEAnTt31utHs2bNAAAJCQnFrp9M726qGsMPJaDbrqdFBlJHGwk+a+iMsyFeGFTTkYGUiIiojDN6pPTGjRslCqHGOn78OACgffv2ets6dOgAAIiIiCjyOPXq1cOBAwewd+/efCOlSUlJOHXqFLy8vFCnTh0TVU0lkaYG5lxMx7IbSqiKHjzHoBoOmNXYFZWdOAeYiIjIWhgdSksjkAJAdHQ0AKBGjRp627y8vKBQKIr11KiPPvoIe/bswfTp03HgwAEEBgbq5pQ6ODhg9erVcHBwMHn9VDCNVsCqW0rMu+iAhGxlkfs387LDt01c8ap76fzZIyIiotJjdCi9cuUKfv75Z7Rp0wYDBw4scL8NGzbgyJEjGD9+PAICAkp8npSUFACAi4uLwe3Ozs66fQrj6emJffv2YfTo0di3bx/2798PAHBwcMCIESNQv379YtWjVBYdnl5G7lOvrP3pV9laAUOPpOLI42wAhV9693WSYtarjuhR1Q4SidbsPwNzKi8/31zsr3Vjf60b+2vdSqu/cnnx1wk3OpSuXr0a69atKzSQAjmjmWvXroWbmxvmzp1r7Ole2u3btzFo0CA4OTlh9+7dCAoKQnJyMjZs2IA5c+bg4MGD2L17d5HLQj18+BAaTeGLtptCXFyc2c8hpg0PbXDkceEjnk4yASN9svFWZTXskIbY2FIqrhRY+8/3ReyvdWN/rRv7a93M2V+ZTFboakwvMjqUHjt2DE5OTmjTpk2h+7Vp0wZOTk44cuSIUefJHSEtaDQ0NTUVbm5uRR5n3LhxiImJwcWLF+Hl5QUAUCgUmDx5Mp48eYKwsDBs3ry5yJBduXLlknWghFQqFeLi4uDl5VVqUyRKW7ZWwNq/kwAYnkAqlQBDa9hjapAjPOTWtfh9efj55sX+Wjf217qxv9bNEvtrdCh98OABfHx8irWvr68vHj58aNR5cueSRkdHo2HDhvm2xcXFIS0tDY0aNSr0GKmpqTh16hQaNGigC6R5tWrVCmFhYbh8+XKRobQkw9Avw87OrtTOVdr+vJWBBwWsPdq+sj3mNHFFwCvW/Yx6a/75GsL+Wjf217qxv9bNkvpr9DCUSqWCrW3xgoOtrS0yMjKMOk+LFi0AAAcPHtTbduDAgXz7FCQ7O2d5oWfPnhnc/vTpUwCAvT0XXjc3rSDgxyupBrf92NwNmztXtPpASkRERPqMDqXe3t64efNmkTedKJVK3Lx5E56enkadp02bNvDz88OmTZtw+fJlXXtycjJ++OEH2NnZYdCgQbr2x48fIyoqCsnJybq2ChUqoFatWoiNjcXKlSvzHT8pKQk//fQTgJwRUzKvv2KUuJak1muv7SLDO7UdIeF6o0REROWS0aG0efPmUCqVCA0NLXS/pUuXIjMzE82bNzfqPDY2Nli8eDG0Wi169OiBiRMnYsaMGWjZsiVu3bqFmTNnolq1arr9Z8+ejSZNmmDnzp35jvPtt9/CxsYGH330Efr06YOZM2diwoQJeO211xAVFYXevXujbdu2RtVIxSMIAhZeTjO47cMAPpGJiIioPDN6TumYMWOwbt06zJs3D2q1GuPHj4dCodBtT09PR2hoKBYsWACpVIoPPvjA6CJbt26NPXv2YN68edi6dSuys7MREBCA2bNnIyQkpFjH6NSpE/bu3YvFixfj1KlTiIiIgFwuR+3atfHpp59i5MiRRtdHxXMyToUz8fpLT3jZa9G3mmVMsiYiIiJxGB1Kg4ODMX36dMydOxcLFizAokWLUK9ePbi6uiI5ORnXrl1DVlYWBEHAF198oXeTUkk1btwYmzZtKnK/sLAwhIWFGdzWqFEj/P777y9VBxlv4WXDc0mHVlHDVspRUiIiovLM6FAKAJ988gkqVaqEOXPm4PHjx7hw4UK+7ZUqVcKsWbPyzfmk8ulKQjb2PcjSa69gJ0EfL/05pkRERFS+vFQoBYAhQ4Zg4MCBOH36NCIjI5GamgpnZ2cEBgbijTfegI3NS5+CrEBBd9yPrCOHgyy9lKshIiIiS2OSxGhra4uWLVuiZcuWpjgcWZm7qWpsuZOp1+5kI8GIWnKkPxGhKCIiIrIo1vW4HLJIS66mQSvotw+r44gK9vwjSERERCYaKQWArKwsJCYm6haqN6S4T4Ai6/EkU4PVN/Uvz9tKgfGBzgAK/vNCRERE5cdLhVK1Wo3Q0FCsW7cON2/ehCAYGA57TiKRFPhEJbJeP0emIUuj3z6whiOqOMmgVDKUEhER0UuE0uzsbISEhCAiIqLQMJqrOPuQdUlWafF/1/RHSSUAPqqv0H8BERERlVtGT+hbvnw5jh8/jtdffx1///03mjZtColEgoSEBNy6dQvr1q1Ds2bN4ODggF9++QWJiYmmrJvKgN9vpCMlW/+XkR6+ctRx4/PtiYiI6F9Gh9ItW7ZAIpEgNDQU/v7+unaJRIKKFSuia9eu2LVrF0JCQjBu3DicPHnSJAVT2aBUC1j6j+FHik4Odi7laoiIiMjSGR1Kr1+/Dh8fH9SsWTNfu1arzff9/PnzYW9vj8WLFxt7KiqD/ojOQFymVq+9dSV7NPbgI0WJiIgoP6NDaVZWFjw8PHTfy+VyAEBKSkq+/RQKBWrXro3z588beyoqYzRaocDF8icHcS4pERER6TM6lHp4eCApKSnf9wAQFRWlt29iYiKSk5ONPRWVMdvvZeJOqv4t9w0q2qJtZXsRKiIiIiJLZ3Qo9fPzw5Mn/z6Kp3HjxhAEAcuWLcu33969e3Hv3j1UrlzZ+CqpzBAEAQsvFzCXNMgZEomklCsiIiKissDoUNq+fXukpaXhwoULAIB+/fpBoVBgy5Yt6NSpE2bOnInRo0dj6NChkEgkCAkJMVnRZLkOPczC5QT9tUerO8vQq5pchIqIiIioLDB6ndLevXvj4sWLePz4MQDA3d0dP/30E8aMGYNz587h/PnzurVJW7ZsiU8//dQ0FZNFW3jZ8FzSiUHOkEk5SkpERESGGR1Ka9SogRUrVuRr69OnD1599VVs2bIF9+7dg4ODA1q0aIHu3bvzsm05cC5ehWOPVXrt3g5SDKrpKEJFREREVFa81GNGDfH19cWkSZNMfVgqAxYVMEo6LlABexl/KSEiIqKCGT2nNDg4GM2bN0dWVpYp66Ey6kZSNnbeV+q1u9hJMLyOkwgVERERUVlidCiNj4+Hvb097O25xA8Bi68avuN+VF0nuNgZ/ceMiIiIygmj00LVqlWhVOqPjFH5E5umxvpbGXrtchkwJoCL5RMREVHRjA6l3bt3R1RUFO7evWvCcqgsCv0nDWpBv31oLSd4OshKvyAiIiIqc4wOpR9//DH8/PwwbNgwxMbGmrImKkMSlBqsiNIfJZVJgA/rc5SUiIiIisfou+/DwsLQoUMHLF++HK+99hratGmDunXrwtGx4KV/pk2bZuzpyEItu5aODAPDpCH+DvBzNvniDkRERGSljE4N8+fPh0QigSAI0Gg02Lt3L/bt22dwX0EQIJFIGEqtTHq2Fr9cM3yD08Qg51KuhoiIiMoyo0PpoEGDuCB+ObcyKgOJWfqjpJ2r2qN+BVsRKiIiIqKy6qUu31P5pdIICP3H8CjpJI6SEhERUQlxAUkyyqbbGYhN1+i1v+Fph2ZediJURERERGUZQymVmFYQ8OMVw6Okk4MVnNZBREREJWb05fuYmJgSv8bHx8fY05EF2X1fiRvJar32ADcbdK4qF6EiIiIiKuuMDqUNGjQo0f4SiQTPnj0z9nRkIQRBwMIrqQa3TQx2hpSjpERERGQEo0OpIBh4hI8J9yfLFBGnwrn4bL12H4UMIf4OIlRERERE1sDoOaWJiYkFfjx48ABHjhzBO++8A7lcjqVLlyIxMdGUdZNIFl02PEo6IVABWylHSYmIiMg4ZnnkjqOjI4KDg7F48WIEBgZiwoQJ8PPzQ7NmzcxxOioll5+psP9Bll57RXsphtYu+EleREREREUx+933o0aNgouLCxYuXGjuU5GZFXTH/QcBTnC04UIOREREZDyzJwmpVAo/Pz+cPXvW3KciM7qTosbWu5l67QobCUbVU4hQEREREVmTUhneiomJgVKpLI1TkZksuZoGrYF71YbXcYKbPUdJiYiI6OWYPU0sWbIET58+Rc2aNc19KjKTuAwN1txK12u3lQLjAjlKSkRERC/P6BudFixYUOA2QRAQHx+Ps2fP4urVq5BIJBg+fLixpyKR/RyZhiz9J4piUA1HVHaSlX5BREREZHWMDqXz588v9HGSueuSSiQSjBs3DiNHjjT2VCSiZJUWv17XHyWVAPgoiKOkREREZBpGh9JBgwYVGEolEgkcHR1Ro0YNdO3aFX5+fsaehkT22/V0pGTrTybtVU2OWq62IlRERERE1sjoUBoWFmbKOsgCZaoFLI00vAzUpCDnUq6GiIiIrBlvm6YCrbuVgSeZWr32NpXs0cjDToSKiIiIyFoxlJJBaq2AxVcNP1J0cjDnkhIREZFpGR1K9+zZgwYNGmDx4sWF7vfjjz+iQYMG2L9/v7GnIhFsu5uJu6n6t9w3rGiLNpXsRaiIiIiIrJnRoXTjxo2IiYlB165dC92vS5cuuH//PjZu3GjsqaiUCYKAhQU8UnRysHOhqy4QERERGcPoUHrx4kW88sorqF27dqH71a1bFxUqVMD58+eNPRWVsgMPsnA1IVuvvYaLDD195SJURERERNbO6FD66NEj+Pr6FmtfHx8fxMXFGXsqKmULrxieSzoxyBkyKUdJiYiIyPSMDqU2NjbFfp59VlaWbjF9smxnnmQh4rFKr72SoxRv1XAUoSIiIiIqD4wOpdWqVcPNmzeLHAGNi4tDVFRUsUdVSVyLCphLOi5QAXsZR0mJiIjIPIwOpR06dIBGo8Hnn39e6H7Tp0+HIAjo0KGDsaeiUnI9KRu77uuPfrvaSTC8jpMIFREREVF5YXQoHTt2LJydnfHnn3+id+/eOHLkCDIyMgAAGRkZOHz4MPr06YMtW7ZAoVBg/PjxJiuazOPHAkZJR9VTwNmWS9oSERGR+Rj9mFEvLy8sX74cw4YNw7Fjx3D8+HEAgEwmg0aTs76lIAhwdHTEb7/9Bm9vb9NUTGYRk6bGxugMvXYHmQQfBHCUlIiIiMzrpYa/OnbsiIMHD6Jnz56ws7ODIAhQq9UQBAH29vbo06cPDh06xEv3ZUDoP2lQG7gXbWhtR7jLZaVfEBEREZUrRo+U5qpTpw5WrVqFrKwsREdHIzU1Fc7OzqhZsybs7Ph89LLgmVKDlVH6o6QyCfBhIB8pSkREROZnsomC9vb2CAgIwBtvvIGAgACTB9K///4bAwYMgK+vLypXroyOHTti69atJT5OfHw8Pv/8czRq1AheXl7w9/dHp06d8Ouvv5q03rJk2bV0ZBgYJu1X3QHVnF/69xYiIiKiIpWJxHH06FH069cPcrkcISEhUCgU2L59O0aMGIHY2FhMmDChWMe5fPkyQkJCkJSUhM6dO6NPnz5IS0tDVFQU9uzZg5EjR5q5J5YnLVuLZdcM3+A0sb5zKVdDRERE5ZXRofSPP/7AuHHjMHXq1EKXhZo3bx7+85//4H//+x/69etX4vOo1WpMnDgRUqkU4eHhCA4OBgB8+umn6NChA7755hv06dOnyHVQU1JSMHjwYADA4cOHUb9+fb3zlEcrozKQmKU/StrFR47ACrYiVERERETlkdGX77dv3w4AeOeddwrdb8iQIRAEAX/++adR5zl69Cju3LmD/v376wIpALi6umLKlClQqVRYt25dkcf59ddfERsbiy+//FIvkAI5T6gqb1QaAaFXDY+STg7iXFIiIiIqPUYnsX/++QceHh6oWrVqofv5+vrC09MTV69eNeo8uUtNtW/fXm9b7l39ERERRR5ny5YtkEgk6N27N27evImDBw9CqVSiVq1a6NixY7m8KWvj7Qw8yNDotTfzskNTL3sRKiIiIqLyyuhQGhcXh8DAwGLtW6VKFVy/ft2o80RHRwMAatSoobfNy8sLCoUCt2/fLvQYKpUKkZGRcHd3x7JlyzBv3jxotVrddj8/P6xZs6bY/bEGWkEocLH8SUGcS0pERESly+hQKpfLkZycXKx9U1JSjL48npKSAgBwcXExuN3Z2Vm3T0ESExOh0WiQkJCA7777DrNnz8agQYOQnZ2N3377Df/9738xaNAgnD17FnK5vNBjKZX6j+E0JZVKle+zueyKyUJUsv482rquMrR2F8zez1yl1V9Lwf5aN/bXurG/1o39NY+iclVeRofSmjVr4u+//8bdu3fh5+dX4H537txBdHQ0GjRoYOypXlruqKhGo8GoUaPy3a0/Y8YM3Lp1C1u3bsW2bdvw1ltvFXqshw8f6p5YZU5xcXFmO7YgAN9fsgegvyj+YK8MxMammu3cBTFnfy0R+2vd2F/rxv5aN/bXdGQyGapXr17s/Y0OpV26dMH58+cxceJEbNiwAfb2+nMQVSoVJk2aBIlEgm7duhl1ntwR0oJGQ1NTU+Hm5lasYwAwWEe3bt2wdetWXLhwochQWrly5SIqfjkqlQpxcXHw8vIy2zzX43HZ+CdN//30cZLivVcrwUYqMct5DSmN/loS9te6sb/Wjf21buyv+IwOpaNHj8avv/6KY8eOoU2bNhg3bhyaNGkCV1dXJCcn48yZM1i6dClu3LgBb29vjBkzxqjz5M4ljY6ORsOGDfNti4uLQ1paGho1alToMZycnFC5cmU8fPgQrq6uettz24pzybokw9Avw87OzmznWnrd8FzSj4KcoXB0MMs5i2LO/loi9te6sb/Wjf21buyveIxeEsrV1RV//PEH3N3dcePGDUyaNAnNmzdHYGAgmjdvjkmTJuHGjRvw9PTEunXrihzNLEiLFi0AAAcPHtTbduDAgXz7FKZVq1YAgBs3buhty20raq1Ta3DxqQoHH2bptbvLpRhSy1GEioiIiIhe8jGjDRs2REREBMaNG4eqVatCEATdh4+PDyZMmICIiAi9Ec6SaNOmDfz8/LBp0yZcvnxZ156cnIwffvgBdnZ2GDRokK798ePHiIqK0rsJ67333gMALFq0CElJSbr2uLg4/Pzzz5BKpejdu7fRdZYVBd1x/0GAAo42JnvqLBEREVGJvPSK8R4eHpg7dy7mzp2LtLQ0pKamwtnZGQrFv4uvnzt3DqtXr8aiRYtKXqCNDRYvXox+/fqhR48e+R4zGhMTg2+++QbVqlXT7T979mysW7cOoaGhGDJkiK79jTfewPjx4xEaGoqWLVuia9euyM7Oxq5duxAfH49Zs2ahZs2aL/VeWLroZDW23cvUa1fYSPB+XScRKiIiIiLKYdLHGCkUCl0Yffr0KdatW4e1a9fqLo8bE0oBoHXr1tizZw/mzZuHrVu3Ijs7GwEBAZg9ezZCQkKKfZy5c+ciICAA//d//4e1a9dCIpEgODgYP/zwA3r16mVUbWXJkqup0Oo/URTv1XWCmz1HSYmIiEg8Jg2lWq0Wf/31F1avXo19+/ZBrVZDEHJSUOPGjV/q2I0bN8amTZuK3C8sLAxhYWEFbh8yZEi+EdTy4nGGBmtvZei120mBsYF8pCgRERGJyyShNCoqCmvWrMH69evx5MkTAIAgCPDw8MDAgQMxdOhQ1K1b1xSnIiOF/ZMGlVa//e2ajqjkqL9eKREREVFpMjqUpqWlYcuWLVi9ejXOnTsHICeI2traIjs7G+7u7rh27RpkMgYesSVlabH8RrpeuwTAR/X5SFEiIiISX4lDaUREBFavXo0dO3YgIyNDd3k+KCgIgwcPRv/+/VGrVi3IZDIGUgux/EY6UrP1J5P28XNADVeTzuAgIiIiMkqxE8n333+PtWvX4s6dO7og6uHhgQEDBmDw4MEIDAw0W5FkvEy1gLB/DC8DNSmIc0mJiIjIMhQ7lM6ZMwcSiQR2dnbo2rUrBg0ahE6dOnE01MKtvZWOeKX+ZNJ2le3R0N0yHitGREREVOJ1gGxsbCCXy+Hg4MBAauHUWgGLC1gsf1IQ55ISERGR5Sh2KJ06dSqqVq2K9PR0bNiwAX379kX9+vUxZ84cREdHm7NGMtKfdzNxL02j197I3RatK3GUlIiIiCxHsUPp9OnTcenSJWzduhV9+/aFvb09Hjx4gB9++AGvv/46OnfujN9//13v8Z4kDkEQsPByqsFtk4KcIZFISrkiIiIiooKV6PK9RCJB27Zt8euvv+LatWv47rvvEBwcDEEQcPbsWUyZMgV16tQBAGg0Gmi1BhbGpFKx/0EW/klU67XXcrVBz2pyESoiIiIiKpjRz5Z0c3PDqFGjcPjwYRw/fhxjxoxBhQoVkJWVBQB49uwZ6tSpgxkzZiAyMtJkBVPxFDRK+lF9BaQcJSUiIiILY5IHngcGBmL+/Pm4du0afv/9d3Tq1AlSqRRPnz5FWFgYWrZsiQ4dOpjiVFQMp+OycCJOpdde2VGKgTUcRaiIiIiIqHAmCaW5bG1t0adPH2zYsAFXrlzBF198gerVq0MQBFy4cMGUp6JCLCzgjvtxgQrYyzhKSkRERJbHpKE0r0qVKuHjjz/GuXPnsHPnTrz99tvmOhXlEZmYjT0xSr12NzsJhtVxEqEiIiIioqKVyjMmW7RogRYtWpTGqcq9H68Ynks6qp4CzrZm+x2EiIiI6KUwpViR+2lqbLqdqdfuIJNgTABHSYmIiMhyMZRakZ+upkEj6Le/U9sR7nI+fYuIiIgsF0OplXiq1GBVVIZeu0wCfFhfIUJFRERERMVXKnNKyfx+iUxHpoFh0v7VHeCr4I+ZiCyXVqtFeno6lEr9mzQtiVarhZ2dHZKTk5Gaanj+vjVhf63by/ZXLpfDyckJUqnpxjeZVqxAarYW/7tmeBmoSUHOpVwNEVHxabVaPHv2DAqFAu7u7hb9CGStVguVSgU7OzuT/kdsqdhf6/Yy/RUEAUqlEs+ePUPFihVN9n5Z/7teDqy4kY4klf4oaTcfOeq9YitCRURExZOeng6FQgEHBweLDqRE9C+JRAIHBwcoFAqkp6eb7LgMpWVclkZA6D+GR0knB3MuKRFZNqVSCblcLnYZRGQEuVxu0mk3DKVl3IboDDzK0Oq1N/eyQxNPexEqIiIqGY6QEpVNpv67y1Bahmm0AhZfLWiUlHNJiYiIqOxgKC3Dwu8rcTNZrdce+IoNOlbhKCkRERGVHQylZZQgCFhUwCNFJwc783IYERERlSkMpWXU0Ucq/P00W6+9mkKGN/0cRKiIiIjKAjc3N/To0eOljnHs2DG4ublh3rx5JqqKiOuUllkFjZJ+FKSAjZSjpERElszNza1E+yclJZmlDiJLwlBaBl18qsKhh1l67R5yKQbXdBKhIiIiKolp06bptYWFhSElJcXgNlM6c+YMHBxe7opa48aNcebMGVSsWNFEVRExlJZJi64YvuN+bKACDjYcJSUisnSff/65XtvatWuRkpJicJsp1a5d+6WP4ejoaJLjEOXFOaVlTHSyGtvuZuq1O9tK8F4djpISEVmTe/fuwc3NDWPHjsWNGzcwZMgQ+Pv7w83NDffu3QMA7NixAyNHjsSrr76KSpUqwdfXF926dcO2bdsMHtPQnNKxY8fCzc0Nd+/exc8//4zXX38d3t7eaNy4MRYsWACtNv962AXNKQ0KCkJQUBDS0tIwbdo01K1bF56enmjevHmB9dy7dw8jRoyAn58fqlSpgu7duyMiIgLz5s2Dm5sbjh07Vqz3qqTvAwBcuXIFo0aNQkBAALy9vREcHIz+/ftj9+7devuGh4ejb9++8Pf3h5eXF4KCgjB69GhERkbq9unRo0eBUzNy3+PcnxsArFmzBm5ublizZg12796NLl26oGrVqggKCgIAqFQq/PLLLwgJCUFgYCA8PT1Rs2ZNDB06FJcuXSqwX0XVOnr0aFSoUAF///23wdfPnTsXbm5u2LRpU4HnMAeOlJYxi6+mQv+BosB7dZzgZs/fMYjIunTa+UTsEnQEAIJWgEQqgQTAvp6epXbuO3fuoFOnTggICMDgwYORkJAAOzs7AMDXX38NW1tbNG3aFN7e3nj69Cl2796NYcOGYcGCBRgzZkyxzzNr1ixERESgS5cuaNeuHcLDw7FgwQKo1WrMnDmzWMdQq9UICQlBUlISevXqhczMTGzZsgXDhw/H5s2b0b59e92+Dx8+RJcuXfD48WN07NgRwcHBuHnzJvr27YvWrVuX6D0q6fuwbds2jBo1CoIgoGvXrqhZsybi4uJw4cIFrFq1Ct26ddPtO2PGDISGhuKVV15Bjx494OHhgQcPHuDIkSNo2LAhAgICSlTri7Zt24aDBw+iS5cuGDlyJFJTc+4bSUxMxOeff45mzZqhU6dOul8cdu/ejf3792PXrl1o1KhRvmMVp9bhw4djw4YNWLt2LZo2bZrv9RqNBmvXrkWFChXQq1evl+pXSTGUliGPMjRYdytDr91OmnPpnojI2pyN119lpDw6deoUPv30U0yfPl1v28aNG+Hn55evLS0tDZ07d8bcuXPxzjvvwNHRsVjnuXTpEiIiIuDt7Q2tVouJEyeiefPmWLZsGaZNm6YLwoV59OgRXn31VezcuVO3/4ABA9CnTx+EhobmC6VfffUVHj9+jJkzZ+Ljjz/Wta9atQoTJkwoVs25SvI+PHnyBOPGjYOtrS127dqFBg0aQKvVQqVSwc7ODo8ePdIdY8+ePQgNDUVAQAB27tyJChUq6Lap1WokJCSUqE5D9u/fjy1btqBt27b52t3c3HD16lVUrlw5X/u1a9fQqVMnfP311/jzzz9LXGvz5s1Rp04d/Pnnn5g3bx6cnf994M7+/fvx4MEDjB07Fvb2pbvmOYfWypCl/6RBpf9EUQyu6QhvR1npF0RERKXCy8sLn3zyicFtLwYxAFAoFBg8eDBSUlIKvERryNSpU+Ht7a37vmLFiujevTtSU1Nx8+bNYh/n22+/zRdg27RpAx8fn3y1ZGVlYdu2bfDw8MCHH36Y7/VDhw5FrVq1in0+oGTvw7p165Ceno7x48ejQYMGeq+rUqWK7utff/0VADB//vx8IQ8AbGxs4On58iPm3bt31wukAGBvb68XSAGgXr16aNmyJU6cOIHs7H9/cStJrcOHD0daWhq2bNmSb7+VK1cCAIYNG2Z0f4zFkdIyIilLi9+up+u1SyXAR0F8pCgRkTWrX79+gaOU8fHxWLhwIfbv34+YmBhkZua/7+Dx48fFPk/Dhg312nJDUXJycrGO4erqajAgVqlSBWfOnNF9f/PmTWRlZeHVV1/VG5GTSCRo0qRJiYJwSd6H8+fPA0C+UduCnD9/Hvb29mjZsmWxaympxo0bF7jt8uXLWLx4MU6dOoW4uLh8IRQAnj17pvtFoiS1Dho0CF9//TVWrlypC6BPnjzBX3/9hTfeeAN169Z9iR4Zh6G0jPi/6+lIU+vPJu1TzQHVXfhjJCKyZh4eHgbbExMT0a5dO8TGxqJp06Zo06YNXF1dIZPJcOXKFezatQtZWfpLCBYk72XcXDJZzpU4jUZTrGO4uLgYbJfJZPlumMqdN+nu7m5w/5KMQJb0fUhJSQEAVKpUqchjp6SkoFKlSpBKzXdxuaCf7+nTp9G7d28AQLt27dCnTx84OTlBIpEgPDwcV69e1etXcWt1dXVFr169sGHDBkRGRiIgIABr166FWq3Gu+++a5qOlRDTTBmQodbi50jDy0BNDOJcUiKyXq972Ipdgs6LNzqVpoIeHb1q1SrExsZixowZmDp1ar5tCxcuxK5du0qjPKPkBuCnT58a3P7kSfFvcivp++Dq6gogZ/5rtWrVCj22q6srnjx5Aq1WW2TYy92uVqthY5M/YuUGYUMK+vl+//33yMrKwu7du9GsWbN8286dO4erV68aXSuQc4l+w4YNWLFiBRYsWIBVq1bBxcUFffv2LfK15sBQWgasuZmBp0r9yaTtK9ujoXvRk86JiMqq0rzDvSh5b4Qx56hZSdy5cwdAzpzEF508ebK0yymRWrVqwd7eHhcvXkRWVla+S/iCIODs2bPFPlZJ34fGjRvr7nh/8e5zQ/vu3bsXx48fL3JFgNzloB4+fAhfX19du1ar1QuQxXHnzh288soreoE0IyPD4JJQJak1d//AwEBs2LABXbp0QXR0NEaOHFnsG+NMzTL+VlGBsrUCFl81PEo6OZhzSYmIyjMfHx8AOXfn57Vx40bs3btXjJKKzd7eHn369MGTJ08QFhaWb9u6desQFRVV7GOV9H14++23oVAoEBoaisuXL+ttf/jwoe7r999/HwDw2WefITExMd9+arU634hu7vJMa9euzbdfaGhovvVJi8vHxwdJSUm4du2ark2j0WDmzJkGR5hLUmuu4cOHIzExEePHjwcA0S7dAxwptXhb72QiJk1/Hs9rHrZo6c1RUiKi8uytt97CokWL8Omnn+LYsWPw8fHB1atXceTIEfTq1Qs7duwQu8RCzZo1C4cPH8ZXX32FiIgI3Tqlf/31Fzp27Ij9+/cXa1S6pO+Dh4cHwsLCMHLkSHTo0AHdunVDzZo1ER8fjwsXLsDX11cXLDt37owJEyZgyZIlaNSoEXr27AkPDw88fPgQR48exYcffohx48YBAIYMGYIff/wR8+fPx5UrV+Dv748LFy7g2rVraNGiBSIiIkr0/owePRoHDx5E165d0bdvX9jb2+P48eN49OgRWrZsiePHj+fbvyS15howYAC++uorPHr0CA0bNjS4GkFp4UipBRMEAYsupxrcNinIucA5KEREVD5UqVIF4eHhaNOmDQ4fPozff/8dKpUKW7duRdeuXcUur0hVq1bF3r178eabb+L06dMICwtDfHw8tmzZAn9/fwCGb756kTHvQ69evbB//3707NkTp06dwpIlS7B37154e3vrLYf0zTffYOXKlahfvz62bduG0NBQnDhxAq1atUK7du10+3l6emLHjh1o06YNDh06hJUrV8LV1RX79+/Pdzm/uLp27YoVK1bAz88PGzZswKZNm1C7dm0cPHhQNzr8ouLWmsvFxUX3hC8xloHKS5KUlGToAUEkEqVSiZiYGPj4+OBIPPDW/md6+9R2tcGpvp6QWkEozdtfuVwudjlmx/5aN/a35OLj4wu889jSWOKcUnMSu79du3bFmTNncP/+fSgU5r+pV+z+lra8/W3ZsiXu3buHa9euFbh6QkFM+XfY+t/1MmzRFcOjpBODFFYRSImIiAyto7p+/XqcOnUKbdu2LZVAWp7t27cPkZGRGDBgQIkDqalxTqmFOh2fjZNxKr32Ko4yDKguzl1xREREptasWTMEBwejTp06unVFjx8/DmdnZ3zzzTdil2e1li9fjvv372Pt2rWQy+WYNGmS2CUxlFqqnyIzDbaPr6+AnYyjpEREZB3ee+897N69GxcuXEBGRgbc3d0xYMAATJ06FbVr1xa7PKv1448/4uHDh6hZsyZ++ukng0/hKm0MpRboVroE+x5m67W/Yi/Bu7U5SkpERNZj5syZmDlzpthllDuXLl2yuDm0llEF5bMy1vATTEbXU0Bhyx8ZERERWR8mHAtzP02DvfEyvXZHGwlG13MSoSIiIiIi82MotTA/X1dCY+Cpyu/WdkRFuX5YJSIiIrIGDKUWJD5Tg7W3lXrtNhJgfCCXxCAiIiLrxVBqQX65lg6l/hNFMaCGI3wUvCeNiKyTIPAZLkRlkan/7jKUWojUbC3+dy3N4LaJQRwlJSLrJJfLoVTqXyEiIsunVCpN+vQ6hlILYSeV4MvGrqimyP8j6e4rR103w3fjExGVdU5OTkhLS0NmZiZHTInKCEEQkJmZibS0NDg5me4mbF4TthD2Mgneq+uEgb5SrLj4CGvjHPFPkgaTg5zFLo2IyGykUikqVqyI9PR0PH36VOxyCqXVanUjQ5ayrqM5sb/W7WX7K5fLUbFiRZO+VwylFsZGKkFnDw3ee9UVl1OkeN3TTuySiIjMSiqVwtnZGc7Olv1LuFKpREpKCry8vEx6ydJSsb/WzRL7a/2/CpRREokEb3jZi10GERERUakoM6H077//xoABA+Dr64vKlSujY8eO2Lp1q9HHS0pKQr169eDm5oZ+/fqZsFIiIiIiKqkycfn+6NGj6NevH+RyOUJCQqBQKLB9+3aMGDECsbGxmDBhQomPOXXqVKSkpJihWiIiIiIqKYsfKVWr1Zg4cSKkUinCw8Px448/Yu7cuTh+/Dhq1qyJb775Bvfv3y/RMbdt24aNGzfiq6++Mk/RRERERFQiFh9Kjx49ijt37qB///4IDg7Wtbu6umLKlClQqVRYt25dsY/39OlTfPzxx3jrrbfQuXNnc5RMRERERCVk8aH0+PHjAID27dvrbevQoQMAICIiotjHmzx5MmQyGRYsWGCaAs1AJitfz7hnf60b+2vd2F/rxv5aN0vrr8XPKY2OjgYA1KhRQ2+bl5cXFAoFbt++XaxjrV+/Hjt27MCaNWvg5uaG5ORkk9ZqCnK5HNWrVxe7jFLD/lo39te6sb/Wjf21bpbYX4sfKc29GcnFxcXgdmdn52LdsPTo0SNMmzYN/fv3R48ePUxaIxERERG9HIsPpaby0UcfwdbW1qIv2xMRERGVVxZ/+T53hLSg0dDU1FS4ubkVeoy1a9di3759WLFiBSpWrGjqEomIiIjoJVn8SGnuXNLcuaV5xcXFIS0trcg5EZcvXwYADBs2DG5ubrqPBg0aAAAOHDgANzc3tGzZ0sTVExEREVFxWPxIaYsWLfDDDz/g4MGDek9eOnDggG6fwjRp0gTp6el67enp6diyZQuqVKmC9u3bo2rVqqYrnIiIiIiKTZKUlCSIXURh1Go1XnvtNTx69Aj79u3TrVWanJyMDh064P79+zh79iyqVasGAHj8+DFSUlLg5eUFV1fXQo997949NGjQAB06dMDmzZvN3hciIiIiMsziL9/b2Nhg8eLF0Gq16NGjByZOnIgZM2agZcuWuHXrFmbOnKkLpAAwe/ZsNGnSBDt37hSx6pJZv349Jk2ahLZt28LT0xNubm5Ys2aN2GWZxcOHD7F06VL07dsX9evXh4eHB2rXro133nkH586dE7s8s1AqlZg+fTq6deuGunXrwsvLC7Vr10aXLl2wevVqZGdni12i2S1atEg3bebs2bNil2NSQUFB+aYF5f2w5pU+duzYgTfffBP+/v7w8vJCcHAwRo4cidjYWLFLM5nc5QML++jdu7fYZZqUIAjYvn07evbsiTp16qBSpUp47bXXMGnSJNy9e1fs8kxOq9Vi2bJlaN26NSpVqgQfHx9069YNu3btEru0l1LSXJGSkoLp06ejfv368PT0RFBQEGbOnIm0tLRSrLoMXL4HgNatW2PPnj2YN28etm7diuzsbAQEBGD27NkICQkRu7yXNmfOHMTExKBixYrw8vJCTEyM2CWZzbJly7Bo0SL4+/ujXbt2cHd3R3R0NMLDwxEeHo7/+7//s4qfaV7p6elYvnw5GjVqhM6dO8Pd3R1JSUnYt28fPvzwQ2zZsgWbNm2CVGrxvyMaJTIyEvPmzYOTk5PBaTTWwMXFBWPHjtVr9/X1FaEa8xIEAZMnT8bvv/8Of39/9OvXDwqFAo8ePUJERARiYmKsZipUUFAQpk2bZnDb9u3bce3aNd1DXKzFF198gdDQUHh7e6NHjx5wdnbG1atXsWLFCmzevBl//fUXAgICxC7TJARBwPDhw7F9+3b4+/tj6NChUKlU2LVrFwYPHozvvvsOo0ePFrtMo5QkV6Snp6NHjx64cuUK2rdvj/79++Py5ctYsmQJIiIisGvXLsjl8lKp2+Iv35cHhw8fRvXq1eHr64uFCxdi9uzZCA0NxZAhQ8QuzeS2b9+OChUq6N1UduLECfTp0wdOTk64ceMG7O3tRarQ9LRaLdRqNezs7PK1q9VqvPnmmzh+/DjWr1+PLl26iFSh+WRnZ6Njx46wtbVF9erVsWHDBuzbtw+vv/662KWZTFBQEADgypUrIldSOsLCwvD555/j/fffx4IFC/SeCKNWq2FjUybGO4ymUqlQt25dpKSkIDIyEp6enmKXZBJxcXGoV68eqlSpguPHj+ebAhcaGooZM2ZgyJAhCA0NFbFK09m2bRuGDRuGpk2bYuvWrXBwcAAAPHv2DG3btsWTJ09w5syZfFdjy4qS5Ipvv/0W3333HSZNmoSvvvpK1/7VV19h0aJFmDVrFqZMmVIqdVvn0EwZ07ZtW6scUTGkd+/eBlc5aN68OVq1aoWkpCRERkaKUJn5SKVSvUAK5ExN6dmzJwAU+6lkZc1///tfXL9+HT/99JPFPc6OSi4zMxMLFiyAn58f5s+fb/Bnau2BFADCw8ORkJCALl26WE0gBYD79+9Dq9WiadOmevdkdO3aFQDw9OlTMUozi/DwcADAlClTdIEUACpWrIhx48YhKyurzE6lK26uEAQBq1atgkKhwNSpU/Ntmzp1KhQKBVauXGmuMvVY/78eVGbY2toCsLxn8ZqLVqvVrSBhLZfD8rp48SK+//57TJ8+HXXr1hW7HLNSqVRYs2YNHj9+DGdnZzRq1Aivvfaa2GWZ3MGDB5GUlIQhQ4ZAo9Fg165diI6OhqurK9q2bWtxjyw0l9z/pN99912RKzGtGjVqwM7ODqdOnUJKSkq+Jynu2bMHANCmTRuxyjO5J0+eAIDBkdDctmPHjpVqTaUtOjoajx49QocOHeDk5JRvm5OTE9544w0cOHAAsbGxpTIth6GULEJMTAwOHz4Mb29vBAYGil2OWahUKnz//fcQBAGJiYk4cuQIoqKiMGTIEKv6hx4AsrKyMHbsWAQFBWHixIlil2N2cXFxGD9+fL62Ro0a4ddff4W/v79IVZnexYsXAeT84tiiRQvcunVLt00qlWLcuHGYM2eOSNWVjvv37+PIkSOoUqUKOnbsKHY5JlWhQgV8+eWX+OKLL9CkSRN0795dN6f06NGjeP/998vsHEtDch+mc+/ePdSpUyfftnv37gFAvj/j1ih3DfiCfqGsXr06Dhw4gOjoaIZSKh+ys7MxZswYZGVl4auvvrLakVKVSpXvMbcSiQQTJkzAl19+KWJV5vHtt98iOjoahw8fttqfZ64hQ4agWbNmCAgIgJOTE27duoXQ0FCsX78evXv3xokTJ+Ds7Cx2mSaRe+k2NDQUDRo0wMGDB1G7dm1cvnwZkyZNwk8//QR/f3+MHDlS5ErNZ82aNdBqtXj77bet8s/2+PHjUblyZXz00UdYvny5rr1Zs2bo37+/VU3P6NixIzZv3oyFCxeidevWupt5EhISEBYWBiBn+Ulrlvu0zIKW0CzqqZqmxjmlJCqtVotx48bhxIkTGDZsGAYNGiR2SWajUCiQlJSEhIQE/PPPP/jvf/+LlStXomfPnqX2F740nDlzBkuWLMEnn3xildMSXvTZZ5+hTZs28PDwgKOjI4KDg/HLL7/grbfeQkxMDFasWCF2iSaj1WoBAHZ2dlizZg0aNWoEhUKB5s2b4/fff4dUKsVPP/0kcpXmo9VqsWbNGkgkEgwdOlTscsxiwYIFGD16NKZMmYJ//vkHsbGx2L17N5RKJXr27Fnml0rKa8CAAWjVqhVOnjyJ5s2bY+rUqZg8eTKaNm2q+0XSWldFsVR8t0k0Wq0W48ePx8aNGzFw4EAsXLhQ7JJKhVQqRZUqVTBy5Ej8+OOPOHXqFL7//nuxyzIJtVqNsWPHIjAwEJMnTxa7HFGNGDECAHD69GmRKzGd3FGThg0bolKlSvm2BQQEwM/PD3fu3EFSUpII1Znf4cOHERsbi9atW8PPz0/sckzu8OHDmDdvHkaNGoXJkyejSpUqUCgUaNasGf744w/Y2triiy++ELtMk7GxscGmTZvw2WefQSqVYsWKFdixYwe6d++umzfs7u4ucpXmlft3uqAR4dwBk7zzi83JesbhqUzJHSH9448/0L9/f4SFhZXL30jbtWsHADh+/LjIlZhGWlqabo6Sh4eHwX06deoEAFi9erVu9QFrlDtfLSMjQ+RKTKdWrVoACr7Ul9uuVCpLrabSZK03OOXat28fAKBVq1Z627y8vFCrVi1cvnwZaWlpUCgUpV2eWdjb2+Ozzz7DZ599lq899wanV199VYyySk2NGjUAFLwCTG577n7mxlBKpS5vIA0JCcEvv/xilXOziuPx48cA/l15oKyzt7fHO++8Y3DbiRMnEB0djW7dusHd3d3ql0HLfUKZNfUzN6xERUXpbcvOzsbt27fh5ORklaNLCQkJ2LVrF1555RWr/WVKpVIBKHjZp2fPnkEqlVrNv1eF2bhxIwCgX79+IldiXjVq1EClSpVw+vRppKen57sDPz09HadPn0a1atVK7YEY5W9oikSVe8n+jz/+wJtvvolly5ZZfSC9fv26wdGyjIwMzJgxA8C/o4dlnYODA5YsWWLwo0mTJgBy1gRcsmQJgoODRa725UVFRRn82UZFRekWoe7fv38pV2U+/v7+aN++PW7fvq23duHChQuRnJyMHj16WNXNMLn++OMPqFQqDBw40Koe7pFX06ZNAQBLly7Vu5y7fPlyPHjwAE2aNLGq/huaz79t2zasXr0ajRo1Qq9evUSoqvRIJBK88847SEtLw3/+85982/7zn/8gLS0Nw4YNK716+EQn8a1cuRInT54EkPNIxkuXLqFp06a6pWSaNWtmNZeL5s2bhwULFkChUOCDDz4wGEh79OhhFYEl17x587B06VI0bdoUvr6+cHZ2xsOHD7F//34kJCSgWbNm2LJlS77Fm63R2LFjsW7dOqt6olPuz7Z58+bw8fGBo6Mjbt26hX379iE7OxtTpkzBrFmzxC7TpO7cuYPOnTsjPj4eXbp00V3SPXr0KHx8fLB//354eXmJXabJNW/eHJGRkYiIiLDaZes0Gg169eqFEydOwMPDA926dYOrqysuXbqEo0ePwsHBATt37kTjxo3FLtVkmjRpgipVqqB27dqQy+U4f/48jh8/Dj8/P2zfvr3MXukoSa5IT09Hly5dcPXqVbRv3x4NGjTApUuXcPDgQTRq1Ajh4eGl9v+T9f06WwadPHkS69aty9d26tQpnDp1Sve9tYTS+/fvA8iZe/jf//7X4D6+vr5WFUq7du2Kx48f48yZMzhz5gzS09Ph4uKCwMBA9OvXD0OHDrXKkaXyoFWrVoiKisLly5dx8uRJZGRkoGLFiujUqRPef/99tG/fXuwSTc7f3x+HDh3Ct99+iwMHDuDgwYPw8vLCqFGj8OmnnxY4l7gsO3/+PCIjI9G4cWOrDaRAzvqzW7duxdKlS7F161Zs2rQJKpUKnp6eGDhwID7++GO99TzLur59+2LHjh04d+4csrOzUa1aNXzyySf46KOPSu3mHnMoSa5wcnJCeHg45s+fjx07duDYsWPw8vLChx9+iGnTppXqgAlHSomIiIhIdJxTSkRERESiYyglIiIiItExlBIRERGR6BhKiYiIiEh0DKVEREREJDqGUiIiIiISHUMpEREREYmOoZSIiIiIRMdQSkRERESiYyglIqIC3bt3D25ubnBzcxO7FCKycnzgNhHRS+rRowciIiKKtW9SUpJ5iyEiKqMYSomITKRq1aqoWrWq2GUQEZVJDKVERCYyZMgQfP7552KXQURUJnFOKRERERGJjqGUiEgEL95AtHv3bvTo0QPVqlVDlSpV0LFjR2zYsKHQY9y4cQPjx49HUFAQPD09Ua1aNXTv3h0rV66ERqMp8HVqtRpr165FSEgIatasCU9PT9SrVw/du3fHkiVLkJycXOBrT548iYEDB8Lf3x/e3t5o3rw5li1bBkEQjHofiIhy8fI9EZHIfvnlF0ybNg2vvPIKqlevjgcPHuDcuXO6j++++07vNVu3bsWYMWOgUqng5OSEgIAAJCYm4sSJEzhx4gS2bt2KtWvXwsHBId/rnj17hsGDB+P06dMAAC8vL9SvXx/x8fE4ffo0Tpw4gYYNG6JVq1Z651yzZg0mTJgAV1dX+Pn5ISYmBpGRkfj0009x//59zJkzxzxvEBGVCxwpJSIS2RdffIGpU6fi5s2bOHToEG7cuIEffvgBUqkUy5Ytw59//plv/6ioKIwdOxYqlQrvvvsuoqKicPjwYVy6dAl//vknXFxccOjQIcyaNSvf6wRBwLBhw3D69GlUrVoV27Ztw40bN3Dw4EFcuXIFt2/fxvfffw9PT0+DdU6ZMgVz5szBrVu3cOjQIdy6dUt3jtDQUNy5c8cs7w8RlQ8MpUREJrJgwQLdJXlDH4MHDzb4upYtW2LGjBmwscm5eCWRSPDee+/hnXfeAQC9kdLFixdDqVQiICAAP/74I5ycnHTb2rZtqxux/P333/H48WPdtj179uD48eOwt7fH5s2b0aZNm3zHdXV1xciRI1GnTh2DdQ4cOBDjxo2DTCbTtU2ZMgUBAQEQBAF//fVXcd8qIiI9DKVERCZStWpVNG3atMCPunXrGnzd2LFjC22PjIxEbGysrn3fvn0AgA8++AASiUTvdW+//TY8PDyQnZ2NQ4cO6dq3b98OAOjVq1eBwbMw77//vsH2Jk2aAABu375d4mMSEeXinFIiIhMxdkmoevXqGWyvVasWbGxsoFarERUVhapVqyI5ORlxcXEAgICAAIOvs7W1Ra1atRAfH4+bN2/q2iMjIwH8GyJLqmbNmgbbPTw8AABpaWlGHZeICOBIKRGR6AqawymTyVChQgUAQGpqKoD8wa+g1wGAt7d3vtfl/drV1dWoOvNOE8hLKs35r4R34BPRy2AoJSIS2ZMnTwy2azQaJCQkAACcnZ0BAAqFosjXAdDNJc19Xd6vC1vyiYhILAylREQiu379usH2mzdvQq1WAwBq164NIGeU08vLC8C/l+NfpFardZftc18HAIGBgQCAM2fOmKZwIiITYiglIhLZzz//XGh7QEAAqlatqmvv3LmzbruhS+Z//PEH4uPjYWtri3bt2una+/TpAwDYsWNHvrmmRESWgKGUiEhkR48exYIFC3SjooIgYMWKFVi1ahUA4JNPPsm3/4QJEyCXyxEZGYlJkyYhPT1dt+3IkSP44osvAADDhw/XjaoCQJcuXdC6dWtkZWUhJCQEx44dy3fclJQULF++HDdu3DBLP4mICsO774mITGTNmjU4cuRIofssWLAADRo0yNc2Z84cTJs2DT///DP8/f3x4MED3R3277//PkJCQvLtX7t2bYSFhWHMmDFYsWIFNm/ejFq1aiExMRF3794FALRr1w5ff/213vl/++03DBo0CGfPnkWvXr3g7e2NKlWqID4+Hg8ePIBGo8GOHTuMWjKKiOhlMJQSEZlIbGxsvvVEDUlJSdFrGzNmDHx8fBAaGoorV65ArVajcePGGDVqFAYNGmTwOH379kW9evWwePFiHD16FP/88w/kcjmaNWuGt99+G0OGDMm3yH2uihUrYteuXVi3bh02btyIq1ev4sqVK3B3d0fTpk3Ro0cPvdBMRFQaJElJSVzDg4iolN27d08X/pKSksQthojIAnBOKRERERGJjqGUiIiIiETHUEpEREREomMoJSIiIiLR8UYnIiIiIhIdR0qJiIiISHQMpUREREQkOoZSIiIiIhIdQykRERERiY6hlIiIiIhEx1BKRERERKJjKCUiIiIi0TGUEhEREZHoGEqJiIiISHT/Dy5RpA3yRFeEAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "plt.figure(figsize=(7,3), dpi = 100)\n",
        "plt.style.use('fivethirtyeight')\n",
        "plt.plot(history.history['loss'], label='Training loss')\n",
        "# plt.plot(history.history['val_accuracy'], label='validation accuracy')\n",
        "plt.xticks(np.arange(10), np.arange(1, 10+1))\n",
        "plt.xlabel(\"Epoch\")\n",
        "plt.ylabel(\"Accuracy\")\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.tight_layout()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "Pp5ns1yRBUKd",
        "outputId": "b8c70c23-5957-44ba-8822-000c35f99c23"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 700x300 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "simple_neural_network.evaluate(X_test,Y_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HiZizDu66-hp",
        "outputId": "c274d6d7-aa16-458d-c524-e83a1d376af8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "125/125 [==============================] - 18s 141ms/step - loss: 20.8114 - accuracy: 0.5820\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[20.81135368347168, 0.5820000171661377]"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pred= simple_neural_network.predict(X_test)\n",
        "ypred=pred.argmax(axis=1)\n",
        "\n",
        "from sklearn.metrics import accuracy_score\n",
        "from sklearn.metrics import classification_report\n",
        "from sklearn.metrics import confusion_matrix\n",
        "\n",
        "print(classification_report(Y_test.argmax(axis=1),ypred))\n",
        "cf_matrix=confusion_matrix(Y_test.argmax(axis=1),ypred)\n",
        "cf_matrix"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Dc2VGHw17Azw",
        "outputId": "33918514-547e-4e6e-b704-4d3e08a76a8d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "125/125 [==============================] - 14s 110ms/step\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.72      0.66      0.69       507\n",
            "           1       0.73      0.70      0.72       470\n",
            "           2       0.43      0.43      0.43       520\n",
            "           3       0.58      0.60      0.59       497\n",
            "           4       0.80      0.89      0.84       496\n",
            "           5       0.58      0.57      0.58       490\n",
            "           6       0.31      0.29      0.30       522\n",
            "           7       0.52      0.54      0.53       498\n",
            "\n",
            "    accuracy                           0.58      4000\n",
            "   macro avg       0.58      0.59      0.58      4000\n",
            "weighted avg       0.58      0.58      0.58      4000\n",
            "\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[336,  21,  24,  29,  38,  16,  36,   7],\n",
              "       [ 28, 329,  33,  12,  32,   1,  12,  23],\n",
              "       [ 19,  25, 225,  40,  19,  30,  94,  68],\n",
              "       [ 12,  12,  17, 297,   1,  40,  71,  47],\n",
              "       [ 15,  30,   9,   0, 440,   0,   1,   1],\n",
              "       [ 24,   1,  32,  41,   2, 278,  81,  31],\n",
              "       [ 20,   8, 118,  59,   9,  79, 152,  77],\n",
              "       [ 10,  22,  70,  37,  12,  32,  44, 271]])"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Novel"
      ],
      "metadata": {
        "id": "P1hEnixYEqa1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "import tensorflow as tf\n",
        "from tensorflow.keras import models, layers\n",
        "input_shape = (128, 128,3)\n",
        "\n",
        "\n",
        "model = models.Sequential([\n",
        "    layers.Conv2D(32, (3,3), activation='relu', input_shape = input_shape),\n",
        "    layers.MaxPooling2D((2,2)),\n",
        "    layers.Flatten(),\n",
        "    layers.Dense(600, activation= 'sigmoid'),\n",
        "])\n",
        "\n",
        "model.build(input_shape=input_shape)"
      ],
      "metadata": {
        "id": "wEAJh1_qEsKV"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "features_train = model.predict(data)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-m-tdrk4hRTD",
        "outputId": "f3f8ff89-13db-4d19-875a-f6de76dbb6c2"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "625/625 [==============================] - 172s 274ms/step\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "df1=pd.DataFrame(features_train)\n",
        "# df1=pd.read_csv('/content/drive/MyDrive/childvggfeatures.csv')\n",
        "df1['label']=labels\n",
        "df1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 617
        },
        "id": "SdByKVdjEsdA",
        "outputId": "e4caf1c6-ade0-4f64-a546-f66ce8eb31e4"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                  0             1         2    3             4             5  \\\n",
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              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-2f379cb2-4f28-4c4e-bca2-59f2ae118928\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2f379cb2-4f28-4c4e-bca2-59f2ae118928')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-2f379cb2-4f28-4c4e-bca2-59f2ae118928 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_25a1e0e5-7888-4ef1-b86f-7600ff7a4dc9\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df1')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_25a1e0e5-7888-4ef1-b86f-7600ff7a4dc9 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df1');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df1"
            }
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import pandas as pd\n",
        "\n",
        "# Assuming df1 is your DataFrame and df1['label'] contains the labels\n",
        "# Assuming y_resampled is a pandas Series or numpy array\n",
        "\n",
        "# Count the occurrences of each class\n",
        "class_distribution = pd.Series(df1['label']).value_counts()\n",
        "\n",
        "# Dictionary to map indices to names\n",
        "label_mapping = {\n",
        "    0: 'circle',\n",
        "    1: 'kite',\n",
        "    2: 'parallelogram',\n",
        "    3: 'rectangle',\n",
        "    4: 'rhombus',\n",
        "    5: 'square',\n",
        "    6: 'trapezoid',\n",
        "    7: 'triangle'\n",
        "}\n",
        "\n",
        "# Convert the indices to names using the dictionary\n",
        "class_names = class_distribution.index.map(label_mapping)\n",
        "plt.figure(dpi=200)\n",
        "\n",
        "\n",
        "palette = sns.color_palette(\"husl\", len(class_names))\n",
        "\n",
        "# Create a bar plot\n",
        "sns.barplot(x=class_names, y=class_distribution.values,palette=palette)\n",
        "\n",
        "# Adding title and labels\n",
        "# plt.title('Class Distribution after SMOTE Resampling')\n",
        "plt.xlabel(\"Shape Class\", fontsize=12)\n",
        "plt.ylabel(\"Count\", fontsize=12)\n",
        "\n",
        "# Rotate x labels for better readability\n",
        "plt.xticks(rotation=65)\n",
        "\n",
        "# Show the plot\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "AlOWbU8aWZ_V",
        "outputId": "1219de1d-72a2-4d9c-f82a-5d15e7413595"
      },
      "execution_count": 75,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1280x960 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x=df1.drop(['label'],axis=1)\n",
        "y=df1['label']\n",
        "from sklearn.model_selection import train_test_split\n",
        "X_train, X_test, Y_train, Y_test = train_test_split(x,y, test_size = 0.2,random_state=0,shuffle=True)\n"
      ],
      "metadata": {
        "id": "gH34esA3EsWk"
      },
      "execution_count": 33,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## With Proposed"
      ],
      "metadata": {
        "id": "P0mqm-hxtRin"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.ensemble import RandomForestClassifier\n",
        "print(\"RF\")\n",
        "RF=RandomForestClassifier(max_depth=18, random_state=0,n_estimators=16)\n",
        "rfPre1=RF.fit(x, y).predict_proba(x)\n",
        "rf=pd.DataFrame(rfPre1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_IfCIgb0sNHn",
        "outputId": "9b5610af-3a6f-40e3-fc07-0c30c0dce889"
      },
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "RF\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "X_train, X_test, Y_train, Y_test = train_test_split(rf,y,test_size = 0.2,random_state=0,shuffle=True)\n",
        "# result.columns=['1','2','3','4']"
      ],
      "metadata": {
        "id": "XgFkllbR3CaU"
      },
      "execution_count": 58,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# result.to_csv('/content/drive/MyDrive/childfeaturefused.csv',index=False)"
      ],
      "metadata": {
        "id": "SKKEbyE174-o"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import lightgbm as lgb\n",
        "print(\"LGB\")\n",
        "clf = lgb.LGBMClassifier(n_estimators=40)\n",
        "start = time.time()\n",
        "clf.fit(X_train, Y_train)\n",
        "stop = time.time()\n",
        "print(f\"Training time: {stop - start}s\")\n",
        "dtP3=clf.predict(X_test)\n",
        "print('error rate:',1-accuracy_score(Y_test,dtP3))\n",
        "print(classification_report(Y_test,dtP3))\n",
        "print('accuracy score',accuracy_score(Y_test,dtP3))\n",
        "kf = KFold(n_splits=10, shuffle=True)\n",
        "clf=lgb.LGBMClassifier(n_estimators=40)\n",
        "score = cross_val_score(clf, rf, y, cv= kf, scoring=\"accuracy\")\n",
        "print(\"%0.4f accuracy with a standard deviation of %0.4f\" % (score.mean(), score.std()))\n",
        "cf_matrix=confusion_matrix(Y_test,dtP3)\n",
        "cf_matrix"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "U7vtEGobsNDs",
        "outputId": "9af33c84-7bb5-4f85-90df-ac80498ba009"
      },
      "execution_count": 64,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "LGB\n",
            "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.013560 seconds.\n",
            "You can set `force_col_wise=true` to remove the overhead.\n",
            "[LightGBM] [Info] Total Bins 2040\n",
            "[LightGBM] [Info] Number of data points in the train set: 16000, number of used features: 8\n",
            "[LightGBM] [Info] Start training from score -2.082948\n",
            "[LightGBM] [Info] Start training from score -2.064553\n",
            "[LightGBM] [Info] Start training from score -2.089492\n",
            "[LightGBM] [Info] Start training from score -2.077943\n",
            "[LightGBM] [Info] Start training from score -2.077444\n",
            "[LightGBM] [Info] Start training from score -2.074454\n",
            "[LightGBM] [Info] Start training from score -2.090502\n",
            "[LightGBM] [Info] Start training from score -2.078442\n",
            "Training time: 1.6042003631591797s\n",
            "error rate: 0.020000000000000018\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.97      0.98      0.97       507\n",
            "           1       0.97      0.98      0.98       470\n",
            "           2       0.98      0.98      0.98       520\n",
            "           3       1.00      1.00      1.00       497\n",
            "           4       0.97      0.98      0.98       496\n",
            "           5       0.99      0.98      0.98       490\n",
            "           6       0.99      0.98      0.98       522\n",
            "           7       0.98      0.97      0.97       498\n",
            "\n",
            "    accuracy                           0.98      4000\n",
            "   macro avg       0.98      0.98      0.98      4000\n",
            "weighted avg       0.98      0.98      0.98      4000\n",
            "\n",
            "accuracy score 0.98\n",
            "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.003175 seconds.\n",
            "You can set `force_col_wise=true` to remove the overhead.\n",
            "[LightGBM] [Info] Total Bins 2040\n",
            "[LightGBM] [Info] Number of data points in the train set: 18000, number of used features: 8\n",
            "[LightGBM] [Info] Start training from score -2.082112\n",
            "[LightGBM] [Info] Start training from score -2.084342\n",
            "[LightGBM] [Info] Start training from score -2.072797\n",
            "[LightGBM] [Info] Start training from score -2.073680\n",
            "[LightGBM] [Info] Start training from score -2.083896\n",
            "[LightGBM] [Info] Start training from score -2.067952\n",
            "[LightGBM] [Info] Start training from score -2.084789\n",
            "[LightGBM] [Info] Start training from score -2.086131\n",
            "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002964 seconds.\n",
            "You can set `force_col_wise=true` to remove the overhead.\n",
            "[LightGBM] [Info] Total Bins 2040\n",
            "[LightGBM] [Info] Number of data points in the train set: 18000, number of used features: 8\n",
            "[LightGBM] [Info] Start training from score -2.085236\n",
            "[LightGBM] [Info] Start training from score -2.082112\n",
            "[LightGBM] [Info] Start training from score -2.076778\n",
            "[LightGBM] [Info] Start training from score -2.073680\n",
            "[LightGBM] [Info] Start training from score -2.078997\n",
            "[LightGBM] [Info] Start training from score -2.078997\n",
            "[LightGBM] [Info] Start training from score -2.083003\n",
            "[LightGBM] [Info] Start training from score -2.076778\n",
            "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.007065 seconds.\n",
            "You can set `force_col_wise=true` to remove the overhead.\n",
            "[LightGBM] [Info] Total Bins 2040\n",
            "[LightGBM] [Info] Number of data points in the train set: 18000, number of used features: 8\n",
            "[LightGBM] [Info] Start training from score -2.087026\n",
            "[LightGBM] [Info] Start training from score -2.074565\n",
            "[LightGBM] [Info] Start training from score -2.087922\n",
            "[LightGBM] [Info] Start training from score -2.086578\n",
            "[LightGBM] [Info] Start training from score -2.079442\n",
            "[LightGBM] [Info] Start training from score -2.071473\n",
            "[LightGBM] [Info] Start training from score -2.074565\n",
            "[LightGBM] [Info] Start training from score -2.074122\n",
            "[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000879 seconds.\n",
            "You can set `force_row_wise=true` to remove the overhead.\n",
            "And if memory is not enough, you can set `force_col_wise=true`.\n",
            "[LightGBM] [Info] Total Bins 2040\n",
            "[LightGBM] [Info] Number of data points in the train set: 18000, number of used features: 8\n",
            "[LightGBM] [Info] Start training from score -2.074565\n",
            "[LightGBM] [Info] Start training from score -2.081666\n",
            "[LightGBM] [Info] Start training from score -2.072356\n",
            "[LightGBM] [Info] Start training from score -2.086131\n",
            "[LightGBM] [Info] Start training from score -2.082558\n",
            "[LightGBM] [Info] Start training from score -2.096475\n",
            "[LightGBM] [Info] Start training from score -2.072356\n",
            "[LightGBM] [Info] Start training from score -2.069711\n",
            "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001563 seconds.\n",
            "You can set `force_col_wise=true` to remove the overhead.\n",
            "[LightGBM] [Info] Total Bins 2040\n",
            "[LightGBM] [Info] Number of data points in the train set: 18000, number of used features: 8\n",
            "[LightGBM] [Info] Start training from score -2.068392\n",
            "[LightGBM] [Info] Start training from score -2.076335\n",
            "[LightGBM] [Info] Start training from score -2.078997\n",
            "[LightGBM] [Info] Start training from score -2.083003\n",
            "[LightGBM] [Info] Start training from score -2.060947\n",
            "[LightGBM] [Info] Start training from score -2.086578\n",
            "[LightGBM] [Info] Start training from score -2.101006\n",
            "[LightGBM] [Info] Start training from score -2.080776\n",
            "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001529 seconds.\n",
            "You can set `force_col_wise=true` to remove the overhead.\n",
            "[LightGBM] [Info] Total Bins 2040\n",
            "[LightGBM] [Info] Number of data points in the train set: 18000, number of used features: 8\n",
            "[LightGBM] [Info] Start training from score -2.071914\n",
            "[LightGBM] [Info] Start training from score -2.073680\n",
            "[LightGBM] [Info] Start training from score -2.079442\n",
            "[LightGBM] [Info] Start training from score -2.083896\n",
            "[LightGBM] [Info] Start training from score -2.082558\n",
            "[LightGBM] [Info] Start training from score -2.075892\n",
            "[LightGBM] [Info] Start training from score -2.079442\n",
            "[LightGBM] [Info] Start training from score -2.088819\n",
            "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.001669 seconds.\n",
            "You can set `force_col_wise=true` to remove the overhead.\n",
            "[LightGBM] [Info] Total Bins 2040\n",
            "[LightGBM] [Info] Number of data points in the train set: 18000, number of used features: 8\n",
            "[LightGBM] [Info] Start training from score -2.079886\n",
            "[LightGBM] [Info] Start training from score -2.074565\n",
            "[LightGBM] [Info] Start training from score -2.077665\n",
            "[LightGBM] [Info] Start training from score -2.089716\n",
            "[LightGBM] [Info] Start training from score -2.076335\n",
            "[LightGBM] [Info] Start training from score -2.083003\n",
            "[LightGBM] [Info] Start training from score -2.071473\n",
            "[LightGBM] [Info] Start training from score -2.083003\n",
            "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002799 seconds.\n",
            "You can set `force_col_wise=true` to remove the overhead.\n",
            "[LightGBM] [Info] Total Bins 2040\n",
            "[LightGBM] [Info] Number of data points in the train set: 18000, number of used features: 8\n",
            "[LightGBM] [Info] Start training from score -2.086578\n",
            "[LightGBM] [Info] Start training from score -2.088370\n",
            "[LightGBM] [Info] Start training from score -2.076778\n",
            "[LightGBM] [Info] Start training from score -2.074565\n",
            "[LightGBM] [Info] Start training from score -2.092414\n",
            "[LightGBM] [Info] Start training from score -2.067952\n",
            "[LightGBM] [Info] Start training from score -2.078109\n",
            "[LightGBM] [Info] Start training from score -2.071033\n",
            "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002540 seconds.\n",
            "You can set `force_col_wise=true` to remove the overhead.\n",
            "[LightGBM] [Info] Total Bins 2040\n",
            "[LightGBM] [Info] Number of data points in the train set: 18000, number of used features: 8\n",
            "[LightGBM] [Info] Start training from score -2.080776\n",
            "[LightGBM] [Info] Start training from score -2.078553\n",
            "[LightGBM] [Info] Start training from score -2.089267\n",
            "[LightGBM] [Info] Start training from score -2.066196\n",
            "[LightGBM] [Info] Start training from score -2.075892\n",
            "[LightGBM] [Info] Start training from score -2.089267\n",
            "[LightGBM] [Info] Start training from score -2.074122\n",
            "[LightGBM] [Info] Start training from score -2.081666\n",
            "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.002543 seconds.\n",
            "You can set `force_col_wise=true` to remove the overhead.\n",
            "[LightGBM] [Info] Total Bins 2040\n",
            "[LightGBM] [Info] Number of data points in the train set: 18000, number of used features: 8\n",
            "[LightGBM] [Info] Start training from score -2.078109\n",
            "[LightGBM] [Info] Start training from score -2.080331\n",
            "[LightGBM] [Info] Start training from score -2.082558\n",
            "[LightGBM] [Info] Start training from score -2.077222\n",
            "[LightGBM] [Info] Start training from score -2.081666\n",
            "[LightGBM] [Info] Start training from score -2.077222\n",
            "[LightGBM] [Info] Start training from score -2.075892\n",
            "[LightGBM] [Info] Start training from score -2.082558\n",
            "0.9810 accuracy with a standard deviation of 0.0032\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[498,   0,   0,   0,   5,   1,   2,   1],\n",
              "       [  1, 461,   2,   0,   3,   1,   0,   2],\n",
              "       [  3,   1, 509,   0,   2,   0,   3,   2],\n",
              "       [  0,   0,   1, 495,   0,   1,   0,   0],\n",
              "       [  4,   2,   0,   0, 488,   1,   1,   0],\n",
              "       [  4,   4,   1,   0,   1, 478,   0,   2],\n",
              "       [  4,   2,   1,   2,   2,   0, 509,   2],\n",
              "       [  2,   5,   3,   0,   3,   2,   1, 482]])"
            ]
          },
          "metadata": {},
          "execution_count": 64
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "clf = KNeighborsClassifier(n_neighbors=9)\n",
        "start = time.time()\n",
        "clf.fit(X_train, Y_train)\n",
        "stop = time.time()\n",
        "print(f\"Training time: {stop - start}s\")\n",
        "dtP3=clf.predict(X_test)\n",
        "print('accuracy score',accuracy_score(Y_test,dtP3))\n",
        "print('error rate:',1-accuracy_score(Y_test,dtP3))\n",
        "print(classification_report(Y_test,dtP3))\n",
        "kf = KFold(n_splits=10, shuffle=True)\n",
        "clf = KNeighborsClassifier(n_neighbors=9)\n",
        "score = cross_val_score(clf, rf, y, cv= kf, scoring=\"accuracy\")\n",
        "print(\"%0.4f accuracy with a standard deviation of %0.4f\" % (score.mean(), score.std()))\n",
        "cf_matrix=confusion_matrix(Y_test,dtP3)\n",
        "cf_matrix"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BoIDhZkasNAA",
        "outputId": "11947797-d961-4935-c4c8-18d4b65fa41c"
      },
      "execution_count": 65,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training time: 0.08686137199401855s\n",
            "accuracy score 0.9845\n",
            "error rate: 0.015499999999999958\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.98      0.98      0.98       507\n",
            "           1       0.96      0.99      0.98       470\n",
            "           2       0.99      0.99      0.99       520\n",
            "           3       1.00      1.00      1.00       497\n",
            "           4       0.97      0.99      0.98       496\n",
            "           5       0.99      0.98      0.99       490\n",
            "           6       0.99      0.98      0.98       522\n",
            "           7       0.99      0.98      0.98       498\n",
            "\n",
            "    accuracy                           0.98      4000\n",
            "   macro avg       0.98      0.98      0.98      4000\n",
            "weighted avg       0.98      0.98      0.98      4000\n",
            "\n",
            "0.9821 accuracy with a standard deviation of 0.0027\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[495,   0,   2,   0,   5,   1,   2,   2],\n",
              "       [  1, 465,   1,   0,   2,   1,   0,   0],\n",
              "       [  3,   2, 513,   0,   1,   0,   1,   0],\n",
              "       [  0,   0,   0, 497,   0,   0,   0,   0],\n",
              "       [  3,   1,   0,   0, 490,   1,   1,   0],\n",
              "       [  0,   4,   2,   0,   1, 480,   0,   3],\n",
              "       [  3,   4,   0,   0,   2,   0, 511,   2],\n",
              "       [  0,   7,   0,   0,   2,   1,   1, 487]])"
            ]
          },
          "metadata": {},
          "execution_count": 65
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.linear_model import LogisticRegression\n",
        "print(\"LR\")\n",
        "clf=LogisticRegression(max_iter=1)\n",
        "start = time.time()\n",
        "clf.fit(X_train, Y_train)\n",
        "stop = time.time()\n",
        "print(f\"Training time: {stop - start}s\")\n",
        "dtP3=clf.predict(X_test)\n",
        "print('error rate:',1-accuracy_score(Y_test,dtP3))\n",
        "print(classification_report(Y_test,dtP3))\n",
        "print('accuracy score',round(accuracy_score(Y_test,dtP3),2))\n",
        "kf = KFold(n_splits=10, shuffle=True)\n",
        "clf=LogisticRegression(max_iter=1)\n",
        "score = cross_val_score(clf, rf, y, cv= kf, scoring=\"accuracy\")\n",
        "print(\"%0.4f accuracy with a standard deviation of %0.4f\" % (score.mean(), score.std()))\n",
        "cf_matrix=confusion_matrix(Y_test,dtP3)\n",
        "cf_matrix"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MEtX3tHq7Dq6",
        "outputId": "db46a0f0-0e6e-4110-9889-ed79d1dfd4d8"
      },
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "LR\n",
            "Training time: 0.09969735145568848s\n",
            "error rate: 0.026499999999999968\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.97      0.97      0.97       507\n",
            "           1       0.90      1.00      0.95       470\n",
            "           2       1.00      0.95      0.98       520\n",
            "           3       1.00      1.00      1.00       497\n",
            "           4       0.95      0.99      0.97       496\n",
            "           5       0.99      0.98      0.98       490\n",
            "           6       1.00      0.96      0.98       522\n",
            "           7       0.99      0.96      0.98       498\n",
            "\n",
            "    accuracy                           0.97      4000\n",
            "   macro avg       0.97      0.97      0.97      4000\n",
            "weighted avg       0.97      0.97      0.97      4000\n",
            "\n",
            "accuracy score 0.97\n",
            "0.9778 accuracy with a standard deviation of 0.0040\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[490,   4,   0,   0,   9,   1,   1,   2],\n",
              "       [  0, 469,   0,   0,   1,   0,   0,   0],\n",
              "       [  7,  11, 495,   0,   6,   0,   1,   0],\n",
              "       [  0,   0,   0, 495,   1,   1,   0,   0],\n",
              "       [  2,   5,   0,   0, 489,   0,   0,   0],\n",
              "       [  1,   7,   0,   0,   3, 478,   0,   1],\n",
              "       [  5,  12,   0,   2,   2,   0, 499,   2],\n",
              "       [  1,  14,   0,   0,   2,   2,   0, 479]])"
            ]
          },
          "metadata": {},
          "execution_count": 66
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.ensemble import RandomForestClassifier\n",
        "print(\"RF\")\n",
        "clf=RandomForestClassifier(max_depth=5, random_state=0,n_estimators=6)\n",
        "start = time.time()\n",
        "clf.fit(X_train, Y_train)\n",
        "stop = time.time()\n",
        "print(f\"Training time: {stop - start}s\")\n",
        "dtP3=clf.predict(X_test)\n",
        "print('error rate:',1-accuracy_score(Y_test,dtP3))\n",
        "print(classification_report(Y_test,dtP3))\n",
        "print('accuracy score',accuracy_score(Y_test,dtP3))\n",
        "kf = KFold(n_splits=10, shuffle=True)\n",
        "clf=RandomForestClassifier(max_depth=5, random_state=0,n_estimators=6)\n",
        "score = cross_val_score(clf, rf, y, cv= kf, scoring=\"accuracy\")\n",
        "print(\"%0.4f accuracy with a standard deviation of %0.4f\" % (score.mean(), score.std()))\n",
        "cf_matrix=confusion_matrix(Y_test,dtP3)\n",
        "cf_matrix"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IClh0Obb7M6U",
        "outputId": "6c4d8e31-8e95-4130-bced-6a88c845c796"
      },
      "execution_count": 70,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "RF\n",
            "Training time: 0.22354722023010254s\n",
            "error rate: 0.03225\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.98      0.97      0.97       507\n",
            "           1       0.97      0.97      0.97       470\n",
            "           2       0.99      0.96      0.98       520\n",
            "           3       0.99      0.99      0.99       497\n",
            "           4       0.99      0.95      0.97       496\n",
            "           5       0.98      0.95      0.97       490\n",
            "           6       0.87      0.99      0.92       522\n",
            "           7       0.99      0.96      0.98       498\n",
            "\n",
            "    accuracy                           0.97      4000\n",
            "   macro avg       0.97      0.97      0.97      4000\n",
            "weighted avg       0.97      0.97      0.97      4000\n",
            "\n",
            "accuracy score 0.96775\n",
            "0.9637 accuracy with a standard deviation of 0.0047\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[490,   0,   1,   0,   3,   1,  12,   0],\n",
              "       [  1, 457,   0,   0,   1,   0,  10,   1],\n",
              "       [  2,   2, 499,   2,   1,   2,  12,   0],\n",
              "       [  0,   0,   0, 492,   0,   0,   5,   0],\n",
              "       [  5,   3,   0,   1, 473,   2,  11,   1],\n",
              "       [  1,   2,   1,   0,   0, 467,  18,   1],\n",
              "       [  0,   2,   1,   1,   1,   1, 515,   1],\n",
              "       [  1,   4,   1,   0,   0,   2,  12, 478]])"
            ]
          },
          "metadata": {},
          "execution_count": 70
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "array1=[[498,   0,   0,   0,   5,   1,   2,   1],\n",
        "       [  1, 461,   2,   0,   3,   1,   0,   2],\n",
        "       [  3,   1, 509,   0,   2,   0,   3,   2],\n",
        "       [  0,   0,   1, 495,   0,   1,   0,   0],\n",
        "       [  4,   2,   0,   0, 488,   1,   1,   0],\n",
        "       [  4,   4,   1,   0,   1, 478,   0,   2],\n",
        "       [  4,   2,   1,   2,   2,   0, 509,   2],\n",
        "       [  2,   5,   3,   0,   3,   2,   1, 482]]\n",
        "\n",
        "array2=[[490,   0,   1,   0,   3,   1,  12,   0],\n",
        "       [  1, 457,   0,   0,   1,   0,  10,   1],\n",
        "       [  2,   2, 499,   2,   1,   2,  12,   0],\n",
        "       [  0,   0,   0, 492,   0,   0,   5,   0],\n",
        "       [  5,   3,   0,   1, 473,   2,  11,   1],\n",
        "       [  1,   2,   1,   0,   0, 467,  18,   1],\n",
        "       [  0,   2,   1,   1,   1,   1, 515,   1],\n",
        "       [  1,   4,   1,   0,   0,   2,  12, 478]]\n",
        "\n",
        "array3=[[490,   4,   0,   0,   9,   1,   1,   2],\n",
        "       [  0, 469,   0,   0,   1,   0,   0,   0],\n",
        "       [  7,  11, 495,   0,   6,   0,   1,   0],\n",
        "       [  0,   0,   0, 495,   1,   1,   0,   0],\n",
        "       [  2,   5,   0,   0, 489,   0,   0,   0],\n",
        "       [  1,   7,   0,   0,   3, 478,   0,   1],\n",
        "       [  5,  12,   0,   2,   2,   0, 499,   2],\n",
        "       [  1,  14,   0,   0,   2,   2,   0, 479]]\n",
        "array4=[[495,   0,   2,   0,   5,   1,   2,   2],\n",
        "       [  1, 465,   1,   0,   2,   1,   0,   0],\n",
        "       [  3,   2, 513,   0,   1,   0,   1,   0],\n",
        "       [  0,   0,   0, 497,   0,   0,   0,   0],\n",
        "       [  3,   1,   0,   0, 490,   1,   1,   0],\n",
        "       [  0,   4,   2,   0,   1, 480,   0,   3],\n",
        "       [  3,   4,   0,   0,   2,   0, 511,   2],\n",
        "       [  0,   7,   0,   0,   2,   1,   1, 487]]\n",
        "\n",
        "# Create a figure with 8 subplots\n",
        "fig, axes = plt.subplots(nrows=2, ncols=2, figsize=(10,7),dpi=200)\n",
        "\n",
        "# Create a list of confusion matrices and corresponding titles\n",
        "cms =    [array1, array2, array3, array4]\n",
        "titles = ['XGB'  ,'RF',   'LR',   'KNC' ]\n",
        "\n",
        "# Plot each confusion matrix as a heatmap on a subplot\n",
        "for ax, cm, title in zip(axes.flat, cms, titles):\n",
        "    sns.heatmap(cm, annot=True, cmap='Blues', ax=ax,fmt='g')\n",
        "    ax.set_title(title)\n",
        "    ax.set_xlabel('Predicted label')\n",
        "    ax.set_ylabel('True label')\n",
        "# axes.flat[-1].axis('off')\n",
        "# Adjust spacing between subplots\n",
        "plt.subplots_adjust(hspace=0.4, wspace=0.4)\n",
        "fig.tight_layout()\n",
        "# Display the figure\n",
        "# plt.savefig('froncm.pdf')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "af9OJ_k9BPOy",
        "outputId": "f9b7575f-66fe-4c11-c931-67795622383d"
      },
      "execution_count": 72,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x1400 with 8 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.decomposition import PCA\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "pca = PCA(n_components=2)\n",
        "X_train_pca = pca.fit_transform(rf)\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "df2=pd.DataFrame(X_train_pca,columns=['Axis 1','Axis 2'])\n",
        "threedee = plt.figure(figsize=(10, 6.5), dpi=150).add_subplot(projection='3d')\n",
        "import numpy as np\n",
        "colors = np.random.rand(276625)\n",
        "scatter= threedee.scatter( df2['Axis 2'],df2['Axis 1'],c=y, alpha=1.0, marker=r'o')\n",
        "threedee.set_xlabel('Axis 1')\n",
        "threedee.set_ylabel('Axis 2')\n",
        "# threedee.set_zlabel('Axis 3')\n",
        "legend1 = threedee.legend(*scatter.legend_elements(),\n",
        "                    loc=\"upper left\", title=\"Target\")\n",
        "threedee.add_artist(legend1)\n",
        "threedee.view_init(azim=150, elev=20)\n",
        "# threedee.grid(True)\n",
        "# plt.savefig('pca_gen_data.pdf')\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 836
        },
        "id": "YPBsbFYZwA7z",
        "outputId": "46226cbe-e765-4713-9241-4505b7a59836"
      },
      "execution_count": 74,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x975 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}