Table 4.

Classification results obtained through validating training data

Classifiers	Tuning parameters	Accuracy
SVM-linear	—	72.03
SVM-polynomial	C = 3, γ = 12, P = 3	75.17
SVM-Gaussian	C = 2.5, γ = 13	81.75
Adaboost M2	MLS = 5, MNS = 30	77.31
Bagging	MLS = 8, MNS = 20	74.52
KNN	NN = 3, D = City block	71.83
Naive Bayes	Distribution = Normal	67.08

NOTE: C = box constraint,γ = kernel scale, P = polynomial order

NN = number of nearest neighbors, D = distance, MLS= minimum

tree leaf size, MNS = maximum number of splits