From 1f624b031716325e1fbbd3d2f7b1d72eea791294 Mon Sep 17 00:00:00 2001 From: smty2018 <74114936+smty2018@users.noreply.github.com> Date: Thu, 10 Aug 2023 23:11:17 +0530 Subject: [PATCH] Add files via upload --- .../Banknote_Authenticity_Classifier.ipynb | 270 ++++ .../ReadMe.txt | 5 + .../dataset/data.txt | 1372 +++++++++++++++++ 3 files changed, 1647 insertions(+) create mode 100644 Bank Note Authentication Prediction(Random Classifier)/Banknote_Authenticity_Classifier.ipynb create mode 100644 Bank Note Authentication Prediction(Random Classifier)/ReadMe.txt create mode 100644 Bank Note Authentication Prediction(Random Classifier)/dataset/data.txt diff --git a/Bank Note Authentication Prediction(Random Classifier)/Banknote_Authenticity_Classifier.ipynb b/Bank Note Authentication Prediction(Random Classifier)/Banknote_Authenticity_Classifier.ipynb new file mode 100644 index 0000000000..00c29e6c8f --- /dev/null +++ b/Bank Note Authentication Prediction(Random Classifier)/Banknote_Authenticity_Classifier.ipynb @@ -0,0 +1,270 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "id": "dNNfO0Lpf_L_" + }, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.metrics import accuracy_score, classification_report" + ] + }, + { + "cell_type": "code", + "source": [ + "url = \"https://archive.ics.uci.edu/ml/machine-learning-databases/00267/data_banknote_authentication.txt\"\n", + "column_names = [\"variance\", \"skewness\", \"curtosis\", \"entropy\", \"class\"]\n", + "data = pd.read_csv(url, names=column_names)" + ], + "metadata": { + "id": "07WBYiQrgB8R" + }, + "execution_count": 2, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "print(data.describe())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "G8NWYBrtgEv3", + "outputId": "e9b4616c-d9a6-4988-de00-01c593cde686" + }, + "execution_count": 3, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " variance skewness curtosis entropy class\n", + "count 1372.000000 1372.000000 1372.000000 1372.000000 1372.000000\n", + "mean 0.433735 1.922353 1.397627 -1.191657 0.444606\n", + "std 2.842763 5.869047 4.310030 2.101013 0.497103\n", + "min -7.042100 -13.773100 -5.286100 -8.548200 0.000000\n", + "25% -1.773000 -1.708200 -1.574975 -2.413450 0.000000\n", + "50% 0.496180 2.319650 0.616630 -0.586650 0.000000\n", + "75% 2.821475 6.814625 3.179250 0.394810 1.000000\n", + "max 6.824800 12.951600 17.927400 2.449500 1.000000\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "data.drop(\"class\", axis=1).hist(bins=20, figsize=(10, 8))\n", + "plt.suptitle(\"Histograms of Numerical Attributes\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 773 + }, + "id": "dV8qDKIjgHJA", + "outputId": "bd14644b-a060-42dd-8c7c-b621002809b2" + }, + "execution_count": 4, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Text(0.5, 0.98, 'Histograms of Numerical Attributes')" + ] + }, + "metadata": {}, + "execution_count": 4 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "correlation_matrix = data.corr()\n", + "sns.heatmap(correlation_matrix, annot=True, cmap=\"coolwarm\")\n", + "plt.title(\"Correlation Matrix Heatmap\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 469 + }, + "id": "aVfZOA56gJpI", + "outputId": "10cc53a7-427d-4fa7-e9a6-9613f4ed117f" + }, + "execution_count": 5, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Correlation Matrix Heatmap')" + ] + }, + "metadata": {}, + "execution_count": 5 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "X = data.drop(\"class\", axis=1)\n", + "y = data[\"class\"]" + ], + "metadata": { + "id": "LXDmBcDEgNlt" + }, + "execution_count": 6, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)" + ], + "metadata": { + "id": "GatzGa3TgP6L" + }, + "execution_count": 7, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "model = RandomForestClassifier(n_estimators=100, random_state=42)" + ], + "metadata": { + "id": "I8c9_WqMgTx-" + }, + "execution_count": 8, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "model.fit(X_train, y_train)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 74 + }, + "id": "YIodbQcvgWPw", + "outputId": "3ab34037-c118-4603-8cab-935c53e4f949" + }, + "execution_count": 9, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "RandomForestClassifier(random_state=42)" + ], + "text/html": [ + "
RandomForestClassifier(random_state=42)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ] + }, + "metadata": {}, + "execution_count": 9 + } + ] + }, + { + "cell_type": "code", + "source": [ + "y_pred = model.predict(X_test)" + ], + "metadata": { + "id": "OCeKJVlagX5f" + }, + "execution_count": 10, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "accuracy = accuracy_score(y_test, y_pred)\n", + "report = classification_report(y_test, y_pred)\n", + "\n", + "print(\"\\nModel Evaluation:\")\n", + "print(\"Accuracy:\", accuracy)\n", + "print(\"Classification Report:\\n\", report)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "M-YhmwddgZjM", + "outputId": "b4f4dcb5-3f43-4342-fd59-d2e24209a263" + }, + "execution_count": 11, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "Model Evaluation:\n", + "Accuracy: 0.9927272727272727\n", + "Classification Report:\n", + " precision recall f1-score support\n", + "\n", + " 0 0.99 1.00 0.99 148\n", + " 1 1.00 0.98 0.99 127\n", + "\n", + " accuracy 0.99 275\n", + " macro avg 0.99 0.99 0.99 275\n", + "weighted avg 0.99 0.99 0.99 275\n", + "\n" + ] + } + ] + } + ] +} \ No newline at end of file diff --git a/Bank Note Authentication Prediction(Random Classifier)/ReadMe.txt b/Bank Note Authentication Prediction(Random Classifier)/ReadMe.txt new file mode 100644 index 0000000000..a2e0e0ba16 --- /dev/null +++ b/Bank Note Authentication Prediction(Random Classifier)/ReadMe.txt @@ -0,0 +1,5 @@ +Description: +A machine learning model using Random Forest Classifier to classify banknotes as authentic or counterfeit based on their attributes. The dataset used is the Banknote Authentication Dataset from the UCI Machine Learning Repository. + +Requirements: +pip install pandas scikit-learn matplotlib seaborn \ No newline at end of file diff --git a/Bank Note Authentication Prediction(Random Classifier)/dataset/data.txt b/Bank Note Authentication Prediction(Random Classifier)/dataset/data.txt new file mode 100644 index 0000000000..930337395b --- /dev/null +++ b/Bank Note Authentication Prediction(Random Classifier)/dataset/data.txt @@ -0,0 +1,1372 @@ +3.6216,8.6661,-2.8073,-0.44699,0 +4.5459,8.1674,-2.4586,-1.4621,0 +3.866,-2.6383,1.9242,0.10645,0 +3.4566,9.5228,-4.0112,-3.5944,0 +0.32924,-4.4552,4.5718,-0.9888,0 +4.3684,9.6718,-3.9606,-3.1625,0 +3.5912,3.0129,0.72888,0.56421,0 +2.0922,-6.81,8.4636,-0.60216,0 +3.2032,5.7588,-0.75345,-0.61251,0 +1.5356,9.1772,-2.2718,-0.73535,0 +1.2247,8.7779,-2.2135,-0.80647,0 +3.9899,-2.7066,2.3946,0.86291,0 +1.8993,7.6625,0.15394,-3.1108,0 +-1.5768,10.843,2.5462,-2.9362,0 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