GitHub - wasim-builds/iris-classification-naive-bayes: This project implements a Gaussian Naïve Bayes classifier on the Iris dataset using scikit-learn. It achieves high accuracy in classifying iris species based on petal and sepal measurements.Evaluates model performance with: Accuracy Score Confusion Matrix (with heatmap) Classification Report 5-Fold Cross-Validation ,Test Accuracy: ~95%

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
iris_naive_bayes.ipynb		iris_naive_bayes.ipynb

About

This project implements a Gaussian Naïve Bayes classifier on the Iris dataset using scikit-learn. It achieves high accuracy in classifying iris species based on petal and sepal measurements.Evaluates model performance with: Accuracy Score Confusion Matrix (with heatmap) Classification Report 5-Fold Cross-Validation ,Test Accuracy: ~95%