model-validation

What problem does it solve?

This Skill automates end-to-end validation of predictive models, including holdout validation, cross-validation, residual analysis, and benchmarking against known solutions.

Core Features & Use Cases

• Holdout and K-fold cross-validation for regression, classification, optimization, and forecasting models.
• Residual analysis and diagnostic plots to verify assumptions and model fit.
• Benchmark comparison against baselines and known solutions to quantify improvements.
• Reproducible reporting with standardized artifacts to support peer review and manuscript preparation.

Quick Start

Run the full model-validation workflow on your project to generate a comprehensive validation report.