Table 1.

Compared machine learning algorithms.

No.	Machine Learning Scheme	Method in Detail	Data Splitting Method
1	Discrimination analysis classification (DAC)	K-fold cross validation with k = 5	Training set ratio = 0.7, test set ratio = 0.3
2	k-nearest neighbor classification (KNNC)	K-fold cross validation with k = 5	Training set ratio = 0.7, test set ratio = 0.3
3	Naïve Bayes classification (NBC)	K-fold cross validation with k = 5	Training set ratio = 0.7, test set ratio = 0.3
4	Support vector machine classification (SVMC)	K-fold cross validation with k = 5	Training set ratio = 0.7, test set ratio = 0.3
5	Decision tree classification (DTC)	K-fold cross validation with k = 5	Training set ratio = 0.7, test set ratio = 0.3
6	Random forest classification (RFC)	K-fold cross validation with k = 5	Training set ratio = 0.7, test set ratio = 0.3