Explain what precision and recall are?

Explain what precision and recall are?

  • 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