Python, Programming, Data Science, Artificial Intelligence, Machine Learning.
is trained on the training data using the RandomForestClassifier class from scikit-learn. A SHAP explainer is created using the TreeExplainer class from the SHAP library, specifying the trained random forest classifier. SHAP values are calculated for the testing data using the shap_values() method