Table 3.
Classifier | Hyperparameters |
---|---|
LR | C: [0.1, 1.0] |
penalty: [ 'l2', None], | |
solver: [ 'lbfgs', 'liblinear'], | |
max_iter:[100, 200], | |
class_weight:[None, 'balanced'] | |
SVM | kernel: ['rbf','linear'], |
C': [1, 8,10] | |
RF | max_depth: [5, 10, 30, None], |
criterion:['gini','entropy'], | |
bootstrap: [True], | |
max_features:['log2', None], | |
n_estimators: [50, 100, 200, 400] | |
XGB | learning_rate: [0.05, 0.1, 0.15], |
bytree:[.5, 1], | |
max_depth: np.arange(3, 6, 10), | |
n_estimators: [50, 100, 200, 400] | |
CB | learning_rate: [0.05, 0.1, 0.15] |