What are the key performance metrics to compare models?

What are the key performance metrics to compare models?

The key performance metrics include accuracy, precision, recall, F1 score, and AUC-ROC. Would you like to know more about any specific metric?

Yes, can you explain what F1 score is?

The F1 score is the harmonic mean of precision and recall. It provides a balance between the two, especially useful in imbalanced datasets.

How does AUC-ROC differ from accuracy?

AUC-ROC measures the model's ability to distinguish between classes across all thresholds, while accuracy only measures the proportion of correct predictions.

Which metric should I prioritize for a medical diagnosis model?

For a medical diagnosis model, you should prioritize recall to minimize false negatives, as missing a diagnosis can be critical.