assess-model

What problem does it solve?

This skill performs deep assessment of trained models beyond aggregate metrics, analyzing where models succeed and fail, identifying systematic biases, evaluating overfitting risk, and translating technical performance into business impact to guide model selection.

Core Features & Use Cases

• Comprehensive error analysis including residual patterns, subgroup performance, and overfitting checks.
• Production-ready artifacts: notebooks and a structured summary document that document results and recommendations for Phase 5 (Evaluation).
• Business impact translation and evidence-based model selection guidance to inform stakeholders.

Quick Start

Use a target model name or MLflow run to generate the assessment notebook and summary document at the expected locations.