model-evaluator
Comprehensive ML model evaluation with multiple metrics, cross-validation, and statistical testing. Activates for "evaluate model", "model metrics", "model performance", "compare models", "validation metrics", "test accuracy", "precision recall", "ROC AUC". Generates detailed evaluation reports with visualizations and statistical significance tests, integrated with SpecWeave increment documentation.
Installation and usage
Comprehensive ML model evaluation with multiple metrics, cross-validation, and statistical testing. Activates for "evaluate model", "model metrics", "model performance", "compare models", "validation metrics", "test accuracy", "precision recall", "ROC AUC". Generates detailed evaluation reports with visualizations and statistical significance tests, integrated with SpecWeave increment documentation.
Once installed, you can use this skill by running the following command in your terminal:
skills use model-evaluator