Machine Learning Model Evaluation Report

Machine Learning Model Evaluation Report

Model: GPT-4
Difficulty: Advanced
Upvotes: 0
AIdata scienceevaluationML

— Prompt —

Write a model evaluation report for a [type] ML model. Include: 1) Data summary, 2) Evaluation metrics (precision, recall, F1, ROC), 3) Error analysis, 4) Deployment considerations, 5) Next improvement steps.

Why It Works

Delivers all needed insights for technical or business review; clear metrics and next actions.

Example Output

Data: 50k images. Acc: 92%. ROC: 0.97. Errors: False positives in class B. Next: Tune learning rate...