In Supervised Learning, the Training Dataset Is Used to

Multiple Choice

In supervised learning, the training dataset is used to

A) select the model that most accurately predicts the target value of interest.
B) assess how well the algorithm developed using the validation dataset estimates the target variable.
C) build the algorithm and "learn" the relationship between the predictors and the target variable.
D) evaluate the final selected algorithm and see how well it performs.