Accuracy

A type of metric. It is a value that tells us how often a model produces correct predictions. The higher the accuracy, the better.

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It can be calculated by dividing the number of correct predictions by the number of total predictions. Optionally multiply the result by 100 to obtain a percentage.

\[ \frac{\text{number of correct predictions}}{\text{number of total predictions}} \]

Note

Accuracy is also 1 - error rate.