-
Cross-validation Cross-validation evaluates model performance by predicting unseen data, with various methods like random, stratified, and leave-one-out techniques to ensure robustness and generalizability.
Cross-validation evaluates model performance by predicting unseen data, with various methods like random, stratified, and leave-one-out techniques to ensure robustness and generalizability.