The percent of misclassified records out of the total records in the validation data is known as the
A)overall error rate.
B)error.
C)accuracy.
D)class.

Question

Quizplus · Accepted Answer

The overall error rate is calculated as the percent of misclassified records out of the total records in the validation data. This is a common metric used to evaluate the performance of a machine learning model. Option B, error, is too general and does not specify the type or scope of the error. Option C, accuracy, is the complement of the error rate, meaning it measures the percent of correctly classified records. Option D, class, is not relevant to this context.

The Percent of Misclassified Records Out of the Total Records