Blog Post··8 min read
Evaluation Metrics: Precision, Recall, Calibration, and Confidence
How do you measure whether a model is actually good? The answer is a set of metrics — precision, recall, F1, perplexity, calibration, confidence intervals — each measuring something different and failing in a different way.