Compute the values of accuracy, sensitivity, specificity, and precision. Explain why accuracy is a misleading measure to consider in this case. Evaluate the performance of the random forest, particularly commenting on the precision measure. If required, round your answer to three decimal places.Accuracy = If required, round your answers to the nearest whole percentage. Accuracy is not the best measure to use for unbalanced data sets because less than % of the alumni in the data have donated. If required, round your answers for Sensitivity and Specificity to three decimal places and round your answer for Precision to four decimal places.Sensitivity = Specificity = Precision =

A university is applying classification methods in order to identify alumni who may be interested in donating money. The university has a database of 58,205 alumni profiles containing numerous variables. Of these 58,205 alumni, only 576 have donated in the past. The university has oversampled the data and trained a random forest of 100 classification trees. For a cutoff value of 0.5, the following confusion matrix summarizes the performance of the random forest on a validation set: Predicted Actual Donation No Donation Donation 268 20 No Donation 5,375 23,439 The following table lists some information on individual observations from the validation set: Probability of Predicted Observation ID Actual Class Donation Class A Donation D.8 Donation No Donation 0.1 No Donation No Donation 0.6 Donation