Machine Learning & Training

What Is K-Fold Cross-Validation?

K-fold cross-validation divides the dataset into k equally sized folds. In each of k rounds, one fold is used for testing while the remaining folds are used for training, and the results are averaged. This provides a robust estimate of model performance while using all data for both training and evaluation.