To validate the model on the validation set, Mary calibrates the output of the model to examining all possible outcomes of the prediction (true positive, true negative, false positive, false negative). One way is to use a cutoff value and use functions such as the ifelse () function. These statements are called
A) prediction.
B) set.seed.
C) reference.
D) confusionMatrix.

Question

Quizplus · Accepted Answer

The statements described are related to creating a confusion matrix, which is used to visualize the performance of an algorithm by displaying true positives, true negatives, false positives, and false negatives. This helps in understanding how well the model is predicting outcomes.

To Validate the Model on the Validation Set, Mary Calibrates