"author:aparnanaredla5-cell" matching MCP servers:

Enables training, evaluating, and comparing Logistic Regression and KNN models on the Wisconsin breast cancer dataset, then predicting malignant or benign diagnoses from patient feature inputs and generating SHAP explanations for the selected model. Every tool call is logged to a Parquet audit trail that can be exported for review.