ML-SHAP-Skill

Run a complete, leakage-aware machine-learning workflow on CSV or Excel tabular data when the user identifies input features, one output feature, and optionally a date, group, region, or ID column. Use for regression or classification tasks requiring data audits, defensible train/test splitting, baseline and nonlinear model comparison, tuning, out-of-sample evaluation, SHAP interpretation, nonlinear thresholds, interactions, robustness checks, publication-ready figures and tables, a reproducible script, and a written results report.