Machine Learning Model Evaluation Report
Machine Learning Model Evaluation Report
v1Prompt
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...
Suggest an improvement
Log in to submit omissions or improvements.