"author:gowthamganta0207-creator" matching MCP servers:

Exposes MCP tools that train, evaluate, compare and explain Logistic Regression and KNN models on the Wisconsin breast cancer dataset, then serve malignant/benign predictions with SHAP explanations and a Parquet audit log of every call. It also provides ready-to-use sample patient inputs and model-selection tooling so agents can run a full ML workflow through natural language.