Table 5.

Classifier Parameters.

Classifier	Parameter
KNN	weights = ‘distance’, p = 1, n_neighbors = 6, leaf_size = 2, algorithm = ‘ball_tree’
RF	n_estimators = 90, oob_score = True, random_state = 10
DT	criterion = ‘gini’, max_depth = 6, splitter = ‘best’
GBDT	n_estimators = 120, max_depth = 10, learning_rate = 0.01,min_samples_split = 4, subsample = 0.5
AdaBoost	n_estimators = 6, learning_rate = 0.1