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Glossary: Probability for ML

Accuracy

The share of predictions where the model's top class was the true class. Priya's classifier got 41 of 48 right, so its accuracy was 0.854. It ignores how confident the model was.

Where the book teaches it

Related terms

Cross-entropy (log loss)CalibratedConfusion matrix