Table 3.

Testing accuracy using different machine learning algorithms

Family algorithm	DT	SVM	Ensemble
Child algorithm (best-achieved accuracy)	Fine-Tree (Damrongsakmethee and Neagoe 2019)	Cubic-SVM (Bagasta et al. 2019)	Subspace discriminant (Hang et al. 2015)
Average testing accuracy	57.7%	71.5%	72.7%