An Intelligent Parkinson’s Disease Diagnostic System Based on a Chaotic Bacterial Foraging Optimization Enhanced Fuzzy KNN Approach

Table 14

Detailed results of CBFO-FKNN with different values of C(i) on the two datasets.

C(i)	Oxford dataset				Istanbul dataset
	ACC	AUC	Sen	Spec	ACC	AUC	Sen	Spec
0.05	0.9542	0.9417	0.9666	0.9167	0.8230	0.6180	0.9694	0.2667
	(0.0370)	(0.0774)	(0.0356)	(0.1620)	(0.0636)	(0.1150)	(0.0413)	(0.2108)
0.1	0.9697	0.9781	0.9687	0.9875	0.8054	0.5946	0.9559	0.2333
	(0.0351)	(0.0253)	(0.0432)	(0.0395)	(0.0414)	(0.0746)	(0.0297)	(0.1405)
0.15	0.9489	0.9479	0.9358	0.9600	0.8155	0.6074	0.9648	0.2500
	(0.0629)	(0.0609)	(0.1158)	(0.0843)	(0.0669)	(0.1204)	(0.0450)	(0.2257)
0.2	0.9589	0.9466	0.9600	0.9333	0.8368	0.6512	0.9691	0.3333
	(0.0469)	(0.0860)	(0.0555)	(0.1610)	(0.0283)	(0.0698)	(0.0360)	(0.1571)
0.25	0.9587	0.9459	0.9669	0.9250	0.8257	0.6385	0.9603	0.3167
	(0.0536)	(0.0901)	(0.0459)	(0.1687)	(0.0770)	(0.1560)	(0.0328)	(0.2987)
0.3	0.9639	0.9689	0.9670	0.9708	0.8090	0.6165	0.9478	0.2833
	(0.0352)	(0.0308)	(0.0454)	(0.0623)	(0.0439)	(0.1112)	(0.0534)	(0.2491)