Table 2.

Result analysis of IDLDMS-PTC technique under different sizes of CV with existing approaches.

No. of Folds	IDLDMS-PTC	ODL-PTNTC	WELM	KELM	ELM
Sensitivity
CV=6	0.9864	0.9773	0.9757	0.9607	0.9431
CV=7	0.9768	0.9761	0.9603	0.9654	0.9741
CV=8	0.9931	0.9853	0.9829	0.9445	0.9748
CV=9	0.9885	0.9670	0.9644	0.9605	0.9375
CV=10	0.9970	0.9885	0.9859	0.9546	0.9489
Average	0.9884	0.9788	0.9738	0.9571	0.9557
Specificity
CV = 6	0.9981	0.9942	0.9927	0.9625	0.9803
CV = 7	0.9938	0.9880	0.9857	0.9672	0.9851
CV = 8	0.9967	0.9945	0.9699	0.9872	0.9937
CV = 9	0.9983	0.9975	0.9822	0.9965	0.9650
CV = 10	0.9958	0.9947	0.9788	0.9932	0.9706
Average	0.9965	0.9938	0.9819	0.9813	0.9789
Accuracy
CV = 6	0.9986	0.9977	0.9846	0.9934	0.9379
CV = 7	0.9987	0.9944	0.9698	0.9904	0.9746
CV = 8	0.9807	0.9623	0.9546	0.9610	0.9422
CV = 9	0.9831	0.9648	0.9618	0.9486	0.9609
CV = 10	0.9860	0.9847	0.9715	0.9389	0.9829
Average	0.9894	0.9808	0.9685	0.9665	0.9597
F-score
CV = 6	0.9861	0.9824	0.9799	0.9810	0.9657
CV = 7	0.9850	0.9832	0.9796	0.9744	0.9615
CV = 8	0.9864	0.9805	0.9784	0.9764	0.9692
CV = 9	0.9995	0.9992	0.9578	0.9786	0.9987
CV = 10	0.9948	0.9863	0.9821	0.9531	0.9600
Average	0.9904	0.9863	0.9756	0.9727	0.9710