Question: Overall accuracy of validation dataset in classification problem can also be stated as number of incorrect classifications number of validation data observations 1 number of

Overall accuracy of validation dataset inOverall accuracy of validation dataset inOverall accuracy of validation dataset in

Overall accuracy of validation dataset in classification problem can also be stated as number of incorrect classifications number of validation data observations 1 number of incorrect classifications number of validation data observations O number of correct classifications number of validation data observations number of correct classifications number of validation data observations Which of the following error measures has a unit same as that of the output variable in linear regression? RMSE ME MAE MPE What do you think the relationship between the choice of "k" (x-axis) in k-NN as a classifier and the error misclassification rate measure (y-axis) in a validation dataset? Inverted-U shape U shape Linear Exponential

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