A binary classifier was tested on 100 patients for detecting…

A binary classifier was tested on 100 patients for detecting a disease. The results are shown in the confusion matrix below:                                Actual Positive      Actual Negative   Predicted Positive             25                    15Predicted Negative           20                     40 Please calculate the following metrics, rounding each result to the nearest whole percentage:(a) The Accuracy of the classifier is _______ % (b) The Recall (Sensitivity) for the positive class is _______ %(c) The Precision for the positive class is _______ %