| Model | optimum parameter | Model | optimum parameter | Model | optimum parameter |
| SVM | C = 0.01 kernel = “linear” gamma = “scale” | GBDT | n_estimators = 20 min_samples_split = 100 max_depth = 3 | KNN | n_neighbors = 2 weights = “uniform” algorithm = “auto” |
| LR | C = 1 inter = True solver = lbfgs | ERF | n_estimators = 70 criterion = “gini” | RF | n_estimators = 10 criterion = “gini” |
| DT | criterion = “gini” max_depth = 3 min_samples_leaf = 35 | BNB | Alpha = True Binarize = True class_prioc = True | LGBM | n_estimators = 50 max_depth = 3 learning_rate = 0.01 |
| AB | n_estimators = 30 learning_rate = 0.1 | MLP | Activation = “identity” Solver = “sgd” hidden_layer_sizes = (5,5,10) | XGB | n_estimators = 10 max_depth = 3 learning_rate = 0.01 |