Accuracy Of Classification

Accuracy is one metric for evaluating classification models and the fraction of predictions our model got right.

• For binary classification, accuracy can also be calculated in terms of positives and negatives as follows:

Where TP = True Positives, TN = True Negatives, FP = False Positives, and FN = False Negatives.