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