Performance Evaluation of the Machine Learning Algorithms Used in Inference Mechanism of a Medical Decision Support System

Table 4

Classification accuracies with datasets having 10 samples (%).

	ZR	NB	MLP	SL	SMO	IBK	BS	BG	J48	RF	RT
BP	50.00	30.00	6.00	0.00	42.00	10.00	50.00	38.00	50.00	8.00	22.00
CVP	70.00	60.00	80.00	60.00	60.00	80.00	80.00	66.00	60.00	80.00	70.00
ExpCO2	50.00	50.00	60.00	50.00	52.00	50.00	50.00	46.00	50.00	54.00	20.00
History	100.00	100.00	100.00	100.00	100.00	100.00	100.00	100.00	100.00	100.00	100.00
HRBP	70.00	80.00	48.00	70.00	70.00	70.00	40.00	70.00	70.00	62.00	70.00
HREKG	60.00	70.00	42.00	48.00	60.00	40.00	30.00	58.00	30.00	44.00	60.00
HRSat	60.00	50.00	70.00	30.00	32.00	50.00	70.00	38.00	30.00	62.00	30.00
MinVol	70.00	70.00	80.00	70.00	72.00	70.00	80.00	70.00	70.00	72.00	70.00
PAP	100.00	100.00	100.00	100.00	100.00	100.00	100.00	100.00	100.00	100.00	100.00
PCWP	70.00	70.00	70.00	60.00	66.00	60.00	60.00	70.00	60.00	70.00	70.00
Press	70.00	70.00	80.00	70.00	70.00	70.00	80.00	70.00	70.00	70.00	70.00