Complex Adaptive Systems Modeling

Table 2 Study group 1 (risk factors)- feature selection

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	4, 5, 6, 2, 1, 3	68.45
2	LR + BS	1, 3, 4, 5, 6, 8	68.99
3	LR + ED	All	66.12
4	LR + SFFS	4, 5 ,6	67.92
5	LR + P-value	4, 5, 7, 8, 6, 3, 1, 2	66.12
6	LR + mRMR	4, 5, 7, 6, 8, 3, 1, 2	66.12
7	DT + FS	4, 7, 8, 6, 2	65.41
8	DT + BS	4	65.05
9	DT + ED	All	62.36
10	DT + SFFS	4	65.05
11	DT + P value	4, 5, 7, 8, 6, 3, 1, 2	62.36
12	DT + mRMR	4, 5, 7, 6, 8, 3, 1, 2	62.36
14	SVM + FS	4, 5,1	70.07
15	SVM + BS	4, 5, 7	69.71
16	SVM + ED	All	68.45
17	SVM + SFFS	4, 5, 1	70.07
18	SVM + P value	4, 5, 7, 8, 6, 3, 1, 2	68.45
19	SVM + mRMR	4, 5, 7, 6, 8, 3, 1, 2	68.45

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