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distilbert_classification_run.ipynb
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{
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"nbformat": 4,
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"nbformat_minor": 0,
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"metadata": {
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"colab": {
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"provenance": [],
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"gpuType": "T4"
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},
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3"
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},
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"language_info": {
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"name": "python"
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},
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"accelerator": "GPU"
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},
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "m8fE5WS67LOk",
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"outputId": "8b4c6ecf-030b-4ad6-f17c-12cbdd20f943"
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},
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m25.3/25.3 MB\u001b[0m \u001b[31m50.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m981.5/981.5 kB\u001b[0m \u001b[31m73.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m653.6/653.6 kB\u001b[0m \u001b[31m59.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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" Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.4/7.4 MB\u001b[0m \u001b[31m99.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m66.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m468.8/468.8 kB\u001b[0m \u001b[31m51.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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" Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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" Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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" Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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" Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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" Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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" Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m268.8/268.8 kB\u001b[0m \u001b[31m16.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.8/7.8 MB\u001b[0m \u001b[31m76.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m64.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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"\u001b[?25h Building wheel for ktrain (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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" Building wheel for keras_bert (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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+
" Building wheel for keras-transformer (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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+
" Building wheel for keras-embed-sim (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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+
" Building wheel for keras-layer-normalization (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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+
" Building wheel for keras-multi-head (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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+
" Building wheel for keras-pos-embd (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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+
" Building wheel for keras-position-wise-feed-forward (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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+
" Building wheel for keras-self-attention (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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+
" Building wheel for cchardet (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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+
" Building wheel for langdetect (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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" Building wheel for tika (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
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]
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}
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],
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"source": [
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"!pip install -q ktrain"
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]
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},
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{
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"cell_type": "code",
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"source": [
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"import ktrain\n",
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"from ktrain import text\n",
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"import pandas as pd\n",
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"from sklearn.model_selection import train_test_split\n",
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"import os\n",
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"from sklearn.metrics import accuracy_score, classification_report, confusion_matrix"
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],
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"metadata": {
|
85 |
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"id": "F8OQn0v18Zuw"
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},
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"execution_count": null,
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"outputs": []
|
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},
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{
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"cell_type": "code",
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"source": [
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"os.environ[\"CUDA_DEVICE_ORDER\"] = \"PCI_BUS_ID\"\n",
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"os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"0\""
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],
|
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"metadata": {
|
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"id": "QKUWKSZE8j70"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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105 |
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"root_folder = \"/content/drive/MyDrive/Colab Notebooks/\"\n",
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"test_data_file = root_folder + \"data/internet_provider_test.csv\"\n",
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"test_data = pd.read_csv(test_data_file)\n",
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"categories = ['Slow Connection', 'Billing', 'Setup', 'No Connectivity']"
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],
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"metadata": {
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"id": "_6ofxOvA8arZ"
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},
|
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"execution_count": null,
|
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"outputs": []
|
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},
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{
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"cell_type": "code",
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"source": [
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"predictor = ktrain.load_predictor(root_folder + \"models/distilbert-model\")"
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],
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121 |
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"metadata": {
|
122 |
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"id": "jfwfAwGE_qJo"
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},
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"execution_count": null,
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"outputs": []
|
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},
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{
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"cell_type": "code",
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"source": [
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"test_predictions = predictor.predict(test_data[\"Text\"].tolist())"
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131 |
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],
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132 |
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"metadata": {
|
133 |
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"id": "wNN96flfMNky"
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},
|
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"execution_count": null,
|
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"outputs": []
|
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},
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{
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"cell_type": "code",
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"source": [
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"accuracy = accuracy_score(test_data[\"Category\"].tolist(), test_predictions)\n",
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142 |
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"print(f'Test Accuracy: {accuracy}')\n",
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143 |
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"print(classification_report(test_data[\"Category\"].tolist(), test_predictions))\n",
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"\n",
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"conf_matrix = confusion_matrix(test_data[\"Category\"].tolist(), test_predictions)\n",
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146 |
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"print('Confusion Matrix:')\n",
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147 |
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"print(conf_matrix)"
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148 |
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],
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149 |
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"metadata": {
|
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"colab": {
|
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"base_uri": "https://localhost:8080/"
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152 |
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},
|
153 |
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"id": "T-m4v3U2S0cY",
|
154 |
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"outputId": "2c0587f8-e834-41d3-8407-01c0a34cc84a"
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},
|
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"execution_count": null,
|
157 |
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"outputs": [
|
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{
|
159 |
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"Test Accuracy: 0.9923664122137404\n",
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163 |
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" precision recall f1-score support\n",
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"\n",
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" Billing 1.00 0.96 0.98 28\n",
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"No Connectivity 1.00 1.00 1.00 27\n",
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" Setup 1.00 1.00 1.00 57\n",
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"Slow Connection 0.95 1.00 0.97 19\n",
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"\n",
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" accuracy 0.99 131\n",
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" macro avg 0.99 0.99 0.99 131\n",
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" weighted avg 0.99 0.99 0.99 131\n",
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"\n",
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"Confusion Matrix:\n",
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"[[27 0 0 1]\n",
|
176 |
+
" [ 0 27 0 0]\n",
|
177 |
+
" [ 0 0 57 0]\n",
|
178 |
+
" [ 0 0 0 19]]\n"
|
179 |
+
]
|
180 |
+
}
|
181 |
+
]
|
182 |
+
},
|
183 |
+
{
|
184 |
+
"cell_type": "markdown",
|
185 |
+
"source": [],
|
186 |
+
"metadata": {
|
187 |
+
"id": "m3qtEjRXSsiu"
|
188 |
+
}
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"cell_type": "code",
|
192 |
+
"source": [
|
193 |
+
"def print_prediction(predictor, text):\n",
|
194 |
+
" labels = predictor.get_classes()\n",
|
195 |
+
" preds = predictor.predict_proba(text)\n",
|
196 |
+
" probs = [f\"{label}: {float(pred)}\" for label, pred in zip(labels, preds)]\n",
|
197 |
+
" print(probs)"
|
198 |
+
],
|
199 |
+
"metadata": {
|
200 |
+
"id": "6ZRMQU3duT95"
|
201 |
+
},
|
202 |
+
"execution_count": null,
|
203 |
+
"outputs": []
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"cell_type": "code",
|
207 |
+
"source": [
|
208 |
+
"x = \"I connection is very slow\"\n",
|
209 |
+
"prediction = predictor.predict(x)\n",
|
210 |
+
"print(f\"prediction: {prediction}\")"
|
211 |
+
],
|
212 |
+
"metadata": {
|
213 |
+
"colab": {
|
214 |
+
"base_uri": "https://localhost:8080/"
|
215 |
+
},
|
216 |
+
"id": "Kl1F196gS0UP",
|
217 |
+
"outputId": "9aee3f66-6f5f-414a-9045-e16986dfcd11"
|
218 |
+
},
|
219 |
+
"execution_count": null,
|
220 |
+
"outputs": [
|
221 |
+
{
|
222 |
+
"output_type": "stream",
|
223 |
+
"name": "stdout",
|
224 |
+
"text": [
|
225 |
+
"prediction: Slow Connection\n"
|
226 |
+
]
|
227 |
+
}
|
228 |
+
]
|
229 |
+
},
|
230 |
+
{
|
231 |
+
"cell_type": "code",
|
232 |
+
"source": [
|
233 |
+
"x = \"I can't connect to any website\"\n",
|
234 |
+
"prediction = predictor.predict(x)\n",
|
235 |
+
"print(f\"prediction: {prediction}\")"
|
236 |
+
],
|
237 |
+
"metadata": {
|
238 |
+
"colab": {
|
239 |
+
"base_uri": "https://localhost:8080/"
|
240 |
+
},
|
241 |
+
"id": "BQytvMlgS9cW",
|
242 |
+
"outputId": "7bf660aa-3014-4a86-c0cd-c94219b33e5c"
|
243 |
+
},
|
244 |
+
"execution_count": null,
|
245 |
+
"outputs": [
|
246 |
+
{
|
247 |
+
"output_type": "stream",
|
248 |
+
"name": "stdout",
|
249 |
+
"text": [
|
250 |
+
"prediction: No Connectivity\n"
|
251 |
+
]
|
252 |
+
}
|
253 |
+
]
|
254 |
+
},
|
255 |
+
{
|
256 |
+
"cell_type": "code",
|
257 |
+
"source": [
|
258 |
+
"x = \"I am paying too much for the service\"\n",
|
259 |
+
"prediction = predictor.predict(x)\n",
|
260 |
+
"print(f\"prediction: {prediction}\")"
|
261 |
+
],
|
262 |
+
"metadata": {
|
263 |
+
"id": "VK0avHJ6TEWD",
|
264 |
+
"outputId": "8108186a-228a-4733-c22b-0b42e0a647d1",
|
265 |
+
"colab": {
|
266 |
+
"base_uri": "https://localhost:8080/"
|
267 |
+
}
|
268 |
+
},
|
269 |
+
"execution_count": null,
|
270 |
+
"outputs": [
|
271 |
+
{
|
272 |
+
"output_type": "stream",
|
273 |
+
"name": "stdout",
|
274 |
+
"text": [
|
275 |
+
"prediction: Billing\n"
|
276 |
+
]
|
277 |
+
}
|
278 |
+
]
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"cell_type": "code",
|
282 |
+
"source": [
|
283 |
+
"x = \"I am waiting for engineer to configure the connection\"\n",
|
284 |
+
"prediction = predictor.predict(x)\n",
|
285 |
+
"print(f\"prediction: {prediction}\")"
|
286 |
+
],
|
287 |
+
"metadata": {
|
288 |
+
"colab": {
|
289 |
+
"base_uri": "https://localhost:8080/"
|
290 |
+
},
|
291 |
+
"id": "-qnLDDmPTWXb",
|
292 |
+
"outputId": "770b0922-6f50-4f96-d309-5b1caae07831"
|
293 |
+
},
|
294 |
+
"execution_count": null,
|
295 |
+
"outputs": [
|
296 |
+
{
|
297 |
+
"output_type": "stream",
|
298 |
+
"name": "stdout",
|
299 |
+
"text": [
|
300 |
+
"prediction: Setup\n"
|
301 |
+
]
|
302 |
+
}
|
303 |
+
]
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"cell_type": "code",
|
307 |
+
"source": [
|
308 |
+
"x = \"My internet is not\"\n",
|
309 |
+
"prediction = predictor.predict(x)\n",
|
310 |
+
"print(f\"prediction: {prediction}\")"
|
311 |
+
],
|
312 |
+
"metadata": {
|
313 |
+
"colab": {
|
314 |
+
"base_uri": "https://localhost:8080/"
|
315 |
+
},
|
316 |
+
"id": "08G-waRmsIot",
|
317 |
+
"outputId": "caf48b98-4146-4557-d68e-df73434bad8e"
|
318 |
+
},
|
319 |
+
"execution_count": null,
|
320 |
+
"outputs": [
|
321 |
+
{
|
322 |
+
"output_type": "stream",
|
323 |
+
"name": "stdout",
|
324 |
+
"text": [
|
325 |
+
"prediction: No Connectivity\n"
|
326 |
+
]
|
327 |
+
}
|
328 |
+
]
|
329 |
+
},
|
330 |
+
{
|
331 |
+
"cell_type": "code",
|
332 |
+
"source": [
|
333 |
+
"x = \"My internet is not working\"\n",
|
334 |
+
"prediction = predictor.predict(x)\n",
|
335 |
+
"print(f\"prediction: {prediction}\")"
|
336 |
+
],
|
337 |
+
"metadata": {
|
338 |
+
"colab": {
|
339 |
+
"base_uri": "https://localhost:8080/"
|
340 |
+
},
|
341 |
+
"id": "CijAiOSRsOYq",
|
342 |
+
"outputId": "64e4ef62-0300-4b29-b5c0-8c9be45532dd"
|
343 |
+
},
|
344 |
+
"execution_count": null,
|
345 |
+
"outputs": [
|
346 |
+
{
|
347 |
+
"output_type": "stream",
|
348 |
+
"name": "stdout",
|
349 |
+
"text": [
|
350 |
+
"prediction: Slow Connection\n"
|
351 |
+
]
|
352 |
+
}
|
353 |
+
]
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"cell_type": "code",
|
357 |
+
"source": [
|
358 |
+
"x = \"My internet is not working.\"\n",
|
359 |
+
"prediction = predictor.predict(x)\n",
|
360 |
+
"print(f\"prediction: {prediction}\")"
|
361 |
+
],
|
362 |
+
"metadata": {
|
363 |
+
"colab": {
|
364 |
+
"base_uri": "https://localhost:8080/"
|
365 |
+
},
|
366 |
+
"id": "2AjgbowSsPkf",
|
367 |
+
"outputId": "6c78da5e-f100-4a88-e7c2-ca99245c1f7b"
|
368 |
+
},
|
369 |
+
"execution_count": null,
|
370 |
+
"outputs": [
|
371 |
+
{
|
372 |
+
"output_type": "stream",
|
373 |
+
"name": "stdout",
|
374 |
+
"text": [
|
375 |
+
"prediction: Slow Connection\n"
|
376 |
+
]
|
377 |
+
}
|
378 |
+
]
|
379 |
+
},
|
380 |
+
{
|
381 |
+
"cell_type": "code",
|
382 |
+
"source": [
|
383 |
+
"x = \"My internet is not working at all\"\n",
|
384 |
+
"prediction = predictor.predict(x)\n",
|
385 |
+
"print(f\"prediction: {prediction}\")"
|
386 |
+
],
|
387 |
+
"metadata": {
|
388 |
+
"colab": {
|
389 |
+
"base_uri": "https://localhost:8080/"
|
390 |
+
},
|
391 |
+
"id": "_11U1q7ysRb5",
|
392 |
+
"outputId": "c1fd45ac-cdb2-41f2-bcd1-89b919f894a4"
|
393 |
+
},
|
394 |
+
"execution_count": null,
|
395 |
+
"outputs": [
|
396 |
+
{
|
397 |
+
"output_type": "stream",
|
398 |
+
"name": "stdout",
|
399 |
+
"text": [
|
400 |
+
"prediction: Slow Connection\n"
|
401 |
+
]
|
402 |
+
}
|
403 |
+
]
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"cell_type": "code",
|
407 |
+
"source": [
|
408 |
+
"print_prediction(predictor, \"My internet is not working at all\")"
|
409 |
+
],
|
410 |
+
"metadata": {
|
411 |
+
"colab": {
|
412 |
+
"base_uri": "https://localhost:8080/"
|
413 |
+
},
|
414 |
+
"id": "SXmSCN3cu9cX",
|
415 |
+
"outputId": "fe179c02-9483-4b94-e970-e761f91e18e4"
|
416 |
+
},
|
417 |
+
"execution_count": null,
|
418 |
+
"outputs": [
|
419 |
+
{
|
420 |
+
"output_type": "stream",
|
421 |
+
"name": "stdout",
|
422 |
+
"text": [
|
423 |
+
"['Billing: 0.0002786574768833816', 'No Connectivity: 0.008474737405776978', 'Setup: 0.0002650754468049854', 'Slow Connection: 0.9909815192222595']\n"
|
424 |
+
]
|
425 |
+
}
|
426 |
+
]
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"cell_type": "code",
|
430 |
+
"source": [],
|
431 |
+
"metadata": {
|
432 |
+
"id": "IUcD_l2MvFDy"
|
433 |
+
},
|
434 |
+
"execution_count": null,
|
435 |
+
"outputs": []
|
436 |
+
}
|
437 |
+
]
|
438 |
+
}
|