ML Model Explorer v2.0.0

We are excited to announce the initial release of ML Model Explorer! This web application, built with Streamlit, allows you to explore and evaluate different machine learning classifiers on popular datasets such as Iris, Breast Cancer, and Wine.

Key Features:

• Select from various classifiers including Logistic Regression, KNN, SVM, Decision Tree, Random Forest, Gradient Boosting, and Naive Bayes.
• Customize classifier hyperparameters to see how they affect model performance.
• View performance metrics such as accuracy, precision, recall, and F1 score.
• Access detailed classification reports and confusion matrices.
• Visualize the ROC curve for binary classification tasks.

Try it out and provide your feedback! We appreciate any suggestions or issues you encounter. Happy exploring!