A university is applying classification methods in order to identify alumni who may be interested in donating money. The

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A university is applying classification methods in order toidentify alumni who may be interested in donating money. Theuniversity has a database of 58,205 alumni profiles containingnumerous variables. Of these 58,205 alumni, only 576 have donatedin the past. The university has oversampled the data and trained arandom forest of 100 classification trees. For a cutoff value of0.5, the following confusion matrix summarizes the performance ofthe random forest on a validation set:
The following table lists some information on individualobservations from the validation set:
The probability of Donation for Observation A is . Itis - Select your answer -greater lessItem 3 than0.5, so Observation A is classified as Donation by the randomforest.
The probability of Donation for Observation B is . Itis - Select your answer -greater lessItem 5 than0.5, so Observation B is classified as Donation by the randomforest.
The probability of Donation for Observation C is . Itis - Select your answer -greater lessItem 7 than0.5, so Observation C is classified as No Donation by the randomforest.
Accuracy =
Sensitivity =
Specificity =
Precision =