Table 9 Feature selection results, study group 2 (test results)

From: A novel ontology and machine learning driven hybrid cardiovascular clinical prognosis as a complex adaptive clinical system

	Experimental setup	Selected features	Accuracy (%)
1	LR + FS	2	69.89
2	LR + BS	1 ,4 ,5, 6	72.58
3	LR + ED	All	67.92
4	LR + SFFS	2	69.89
5	LR + P value	6,2,5,1,4,3	67.92
6	LR + mRMR	2,6,1,5,4,3	67.92
7	DT + FS	2, 6, 4, 3	82.97
8	DT + BS	2, 3, 4, 6	82.97
9	DT + ED	All	81.89
10	DT + SFFS	2, 6, 4, 3	82.97
11	DT + P value	6,2,5,1,4,3	81.89
12	DT + mRMR	2,6,1,5,4,3	81.89
14	SVM + FS	2,3	70.96
15	SVM + BS	2,4,5	70.96
16	SVM + ED	All	68.63
17	SVM + SFFS	2,3	70.96
18	SVM + P value	6,2,5,1,4,3	68.63
19	SVM + mRMR	2,6,1,5,4,3	68.63

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