Topic: Classification & Regression

To evaluate a binominal classification machine learning model, you examine this confusion matrix:

What can you infer from this confusion matrix? $($Select ALL correct answers$)$

A$.$ This model had $67$ false positive predictions.

B$.$ This model had $67$ false negative predictions.

C$.$ This model was able to correctly predict $705$ "BAD" values out of a total of $772$ "BAD" values in the ExampleSet.

D$.$ Data scientists would consider this a 'balanced' data set.