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 No Donation Donation
Donation 20 268
No Donation 23,439 5375
The following table lists some information on individual observations from the validation set Probability of Donation 0.8 Predicted Class Observation ID Actual Class Donation No Donation No Donation Donation No Donation Donation 0.6
Predicted Actual No Donation Donation 268 5375 Donation 20 No Donation 23,439 The following table lists some information on individual observations from the validation set Probability of Donation 0.8 Predicted Class Observation ID Actual Class Donation No Donation No Donation Donation No Donation Donation 0.6
Compute the values of accuracy, sensitivity, specificity, and precision.
Accuracy =