Parameters Tuning

This page contains parameters tuning guides for different scenarios.

For Better Accuracy

• Use large max_iterations and n_nodes_H (may be slower)

• Use bigger training data

Deal with Over-fitting

• Use Bagging to generate more BoostTrees

• Use bigger training data

• Try learning_rate, reg_alpha and noise_scale for regularization