Table 3 initialization parameters
Classifiers | Hyperparameter | Values |
|---|---|---|
Easy Ensemble | Number of AdaBoost learners in the ensemble | 9 |
Estimator used to grow the ensemble | Complement NB | |
Balanced Bagging | The number of base estimators in the ensemble | 9 |
The base estimator to fit on random subsets of the dataset | Complement NB | |
Whether features are drawn with replacement | True | |
Complement NB | Additive (Laplace/Lidstone) smoothing parameter | 1.0 |
SMA, HHO, ABC | Population size Epoch | 100 100 |