Question: The validation data set confusion matrix for the Universal Bank data classification model is shown. How many records were in the validation data set? How

The validation data set confusion matrix for the Universal Bank data classification model is shown. $Validation: Classification Summary Confusion Matrix Actual\Predicted 1809 80 3 108$

How many records were in the validation data set? How many of the records were correctly classified by the algorithm? How many records were incorrectly classified? What is the “misclassification rate” for the 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 validation data set?

Validation: Classification Summary Confusion Matrix Actual\Predicted 1809 80 3 108

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