Which of the following is the definition of accuracy?

Which of the following is the definition of accuracy?
A . (True Positives + False Positives) / Total Predictions
B . (True Positives + True Negatives) / Total Predictions
C . True Positives / (True Positives + False Negatives)
D . True Positives / (True Positives + False Positives)

Answer: B

Explanation:

Accuracy is a measure of how well a classifier can correctly predict the class of an instance. Accuracy is calculated by dividing the number of correct predictions (true positives and true negatives) by the total number of predictions. True positives are instances that are correctly predicted as positive (belonging to the target class). True negatives are instances that are correctly predicted as negative (not belonging to the target class).

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