Table 5 Hyper-parameters optimization of the boosting ensemble models
From: m1A-Ensem: accurate identification of 1-methyladenosine sites through ensemble models
Boosting ensemble models | Gradient Boost | Hist-Boost | Adaboost | XGB |
|---|---|---|---|---|
Hyper-Parameter value(s) | learning_rate = 0.1 n_estimators = 100 criterion = ‘mse’ | max_iter = 200 max_depth = 40 warm_start = ‘True’ | Base_estimator = ‘Gradientboostclassifier’ n_estimators = 50 random_state = ‘None’ min_weight_fraction_leaf = 0.1 | max_iter = 100 max_depth = 40 random_state = 0 |