Explainable Breast Cancer Classifier using Random Forest

The dataset containing breast cancer classification data based on the tumors' physical attributes such as area, radius, perimeter etc. is trained using Random Forest classifier. The explainability is done by using SHAP and the inferences are noted down in the notebook.