Table 3.

Classification algorithms used in this study

ML Algorithm
1	Logistic Regression (LR)
2	Linear Discriminant Analysis (LDA)
3	K-Nearest Neighbor (KNN)
4	Decision Tree (CART)
5	Naïve Bayes (NB)
6	Support Vector Machine (SVM)
7	Ada Boost (AB)
8	Gradient Boosting (GBM)
9	Random Forest (RF)
10	Extra Trees (ET)

Name abbreviations are shown in brackets