Table 1.

Results analysis of IDLDMS-PTC technique under different sizes of training set with existing approaches.

Training (%)	IDLDMS-PTC	ODL-PTNTC	WELM	KELM	ELM
Sensitivity
TS = 40	0.9995	0.9989	0.9969	0.9697	0.9679
TS = 50	0.9912	0.9855	0.9835	0.9823	0.9749
TS = 60	0.9851	0.9832	0.9720	0.9800	0.9712
TS = 70	0.9960	0.9759	0.9653	0.9702	0.9713
TS = 80	0.9958	0.9931	0.9889	0.9782	0.9628
Average	0.9935	0.9873	0.9813	0.9761	0.9696
Specificity
TS = 40	0.9767	0.9696	0.9622	0.9687	0.9696
TS = 50	0.9853	0.9720	0.9684	0.9712	0.9543
TS = 60	0.9992	0.9882	0.9870	0.9578	0.9778
TS = 70	0.9959	0.9757	0.9646	0.9719	0.9531
TS = 80	0.9847	0.9818	0.9753	0.9764	0.9774
Average	0.9884	0.9775	0.9715	0.9692	0.9664
Accuracy
TS = 40	0.9937	0.9834	0.9829	0.9544	0.9746
TS = 50	0.9911	0.9908	0.9760	0.9792	0.9893
TS = 60	0.9974	0.9850	0.9847	0.9487	0.9459
TS = 70	0.9876	0.9721	0.9652	0.9702	0.9432
TS = 80	0.9978	0.9886	0.9742	0.9837	0.9690
Average	0.9935	0.9840	0.9766	0.9672	0.9644
F-score
TS = 40	0.9919	0.9892	0.9839	0.9859	0.9432
TS = 50	0.9940	0.9908	0.9576	0.9884	0.9651
TS = 60	0.9989	0.9984	0.9970	0.9710	0.9708
TS = 70	0.9873	0.9827	0.9671	0.9555	0.9788
TS = 80	0.9889	0.9798	0.9640	0.9431	0.9793
Average	0.9948	0.9882	0.9739	0.9688	0.9674