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Overall Accuracy refers to the percentage of correct predictions made by the model when compared with the actual classifications in the test data. The formula to calculate the Overall Accuracy is:
Overall Accuracy = (TP+TN)/(TP+FP+FN+TN)*100
Where:
TP is True Positive.
TN is True Negative.
FP is False Positive.
FN is False Negative.