Table 4 Parameters tuning of the bagging ensemble models
From: m1A-Ensem: accurate identification of 1-methyladenosine sites through ensemble models
Bagging models | Random Forest | Extra tree classifier | Decision Tree classifier | Bagging classifier |
|---|---|---|---|---|
Hyper-Parameter value(s) | n_estimators = 200 max_depth = 50 max_features = ‘Auto’ min_samples_split = 10 min_samples_leaf = 5 | n_estimators = 100 max_depth = 40 max_features = ‘Auto’ Bootstrap = bool | Splitter = ‘random’ Max_depth = 80 min_samples_leaf = 4 random_state = ‘None’ min_weight_fraction_leaf = 0.1 | Base_estimator = ‘DecisionTreeClassifier’ N_estimators = 100 Oob_score = ‘True’ Random_state = 0 |