The "training set" and "test set" are essential components of machine learning model development:
A) The training set is used to build and train the model, while the test set is used to evaluate the model's performance on unseen data.
B) The training set consists of data used to fine-tune the model's parameters, while the test set is used for feature selection.
C) The training set includes only the features used for model prediction, while the test set includes the target variable for validation.
D) The training set represents the entire dataset, while the test set is a subset used for cross-validation purposes.
