Question: The validation data set confusion matrix for the Universal Bank data classification model is shown. Validation: Classification Summary Confusion Matrix ActualPredicted - 0 1809

The validation data set confusion matrix for the Universal Bank data classification

The validation data set confusion matrix for the Universal Bank data classification model is shown. Validation: Classification Summary Confusion Matrix ActualPredicted - 0 1809 80 108, How many records were in the validation data set? How many of these records were correctly classified by the algorithm? How many records were incorrectly classified? What is the "miselassification rate" for the entire validation data set? Would you predict that the misclassification rate for the training data set would be higher or lower on average than the rate you calculated for the entire validation data set?

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