Topic: Model Selection & Validation

Below is a simple model$-$building process using Cross Validation. Inside the Cross Validation $($not shown$)$ there is a Decision Tree operator on the training side, and an Apply Model $+$ Performance operator on the testing side.

Which answers below best describes Output A and Output B$?($Select ALL correct answers$)$

A$.$ Output A is the original ExampleSet.

B$.$ Output A is an appended set of all the scored hold$-$out sets used in the Cross Validation.

C$.$ Output B is the performance of the final $($best$)$ model produced by the Cross Validation operator after model application.

D$.$ Output B is the average performance of all the models produced by the Cross Validation operator after model application.