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

Table 6

Classification accuracies with datasets having 1000 samples (%).

	ZR	NB	MLP	SL	SMO	IBK	BS	BG	J48	RF	RT
BP	45.00	46.32	44.52	46.44	46.58	44.58	45.00	47.18	46.52	44.84	46.60
CVP	67.70	87.64	87.00	87.72	87.08	87.14	85.60	87.70	87.70	87.06	87.68
ExpCO2	66.10	79.60	78.20	79.74	79.58	78.12	69.54	79.80	79.84	78.46	79.72
History	94.20	98.30	98.30	98.30	98.30	98.20	98.24	98.30	98.30	98.30	98.30
HRBP	48.00	67.12	66.18	67.20	67.56	66.48	59.20	67.06	67.04	66.62	66.88
HREKG	47.00	66.36	65.66	66.06	67.06	65.14	59.00	65.60	65.88	65.52	65.74
HRSat	47.40	65.68	65.02	65.88	66.84	64.60	59.00	65.14	65.20	64.68	65.10
MinVol	79.30	88.84	87.80	88.82	88.76	87.30	83.20	88.86	88.82	88.18	88.88
PAP	89.40	90.20	89.48	90.20	90.20	89.38	90.20	90.20	90.20	89.50	90.16
PCWP	65.20	86.80	86.40	86.90	86.72	86.18	83.80	86.90	86.90	86.50	86.90
Press	78.40	88.86	88.46	89.34	89.18	87.90	82.90	89.26	88.98	88.70	89.24