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Explain the difference between Accuracy Precision and Recall

The difference between Accuracy Precision and Recall.

  • Accuracy: the ratio of correctly predicted observation of the total observations.

Accuracy = TP+TN/TP+FP+FN+TN

  • Precision: Precision is the ratio of correctly predicted positive observations of the total predicted positive observations.

Precision = TP/TP+FP

  • Recall: Recall is the ratio of correctly predicted positive observations to all observations in the actual class

Recall = TP/TP+FN