Task: Implement K-Fold Cross-Validation with Decision Trees and Pruning
Task: Implement K-Fold Cross-Validation with Decision Trees and Pruning: a task in Terminal-Lego-15k (Harbor dataset). Cross-validation serves multiple purposes when used with decision trees: 1. Estimating generalization error of the model 2. Selecting the best tree (or best hyperparameters such…
The task
Cross-validation serves multiple purposes when used with decision trees: 1. Estimating generalization error of the model 2. Selecting the best tree (or best hyperparameters such as pruning level) 3. After model selection, training a final model on the full dataset
Part of PrimeIntellect/Terminal-Lego-15k.