Refer to the confusion matrix:
Calculate the accuracy and error rate (0 - negative outcome, 1 - positive outcome)
Refer to the exhibit:
Which statement is true, based on the plots above?
What is a benefit to performing data cleansing (imputation, transformations, etc.) on data after partitioning the data for honest assessment as opposed to performing the data cleansing prior to partitioning the data?
Refer to the exhibit:
Which statement is true, based on the plots above?
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