generate-test-design

What problem does it solve?

This skill defines the experimental framework for model building: how data is split, how models are evaluated, what metrics matter, and how experiments are tracked to ensure rigorous, reproducible evaluation.

Core Features & Use Cases

• Define train/validation/test splitting strategies and cross-validation approaches.
• Specify evaluation metrics, baselines, and an experiment tracking plan to document results.
• Produce artifacts: a Jupyter notebook at notebooks/4.2-test-design.ipynb and a summary doc at docs/crisp-dm/4-modeling/4.2-test-design.md.

Quick Start

Create the 4.2 test design notebook and the accompanying summary document following the outlined steps.