Table 3.

Best model parameters identified by grid search method

Classifier	Best params
Logistic Regression	{’clf__C’: 0.01}
Random Forest	{’clf__max_depth’: 30, ’clf__n_estimators’: 100}
Naïve Bayes	{ }
SVM	{’clf__C’: 1, ’clf__kernel’: ’rbf’}
K-Nearest Neighbors	{’clf__n_neighbors’: 9}
LightGBM	{’clf__learning_rate’: 0.1, ’clf__n_estimators’: }