accuracy

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The fraction of predictions that a classification model got right. In multi-class classification, accuracy is defined as follows: $$Accuracy = \frac{Correct Predictions}{Total Number of Examples} $$

In binary classification, accuracy has the following definition:

$$Accuracy = \frac{True Positives + True Negatives}{Total Number of Examples} $$

See true positive and true negative.