Table 7.

Testing Specificity, Sensitivity, and F-Measure.

Dataset/Algorithm		BP	PSOLF	LFPSO	LPSONS
Breast Cancer	Spec	0.9469	0.9410	0.9474	0.9478
	Sens	0.9549	0.9532	0.9551	0.9617
	F-Measure	0.9565	0.9538	0.9556	0.9613
Liver	Spec	0.7321	0.6492	0.7090	0.6753
	Sens	0.7054	0.6104	0.6330	0.6437
	F-Measure	0.7987	0.6500	0.6473	0.6704
Pima	Spec	0.6632	0.6730	0.6562	0.6803
	Sens	0.6271	0.7124	0.6209	0.7164
	F-Measure	0.6579	0.7104	0.6487	0.7164
Wine	Spec	0.9680	0.9689	0.9540	0.9690
	Sens	0.9549	0.9435	0.9533	0.9580
	F-Measure	0.9548	0.9447	0.9541	0.9553
Australian	Spec	0.8217	0.8151	0.8186	0.8588
	Sens	0.8558	0.8647	0.8648	0.8617
	F-Measure	0.8589	0.8621	0.8635	0.8632
Hepatitis	Spec	0.9254	0.8947	0.8782	0.8961
	Sens	0.7805	0.6468	0.6418	0.6509
	F-Measure	0.8260	0.6425	0.6314	0.6479
Heart	Spec	0.8772	0.8097	0.8325	0.8002
	Sens	0.8629	0.8012	0.8221	0.8093
	F-Measure	0.8651	0.8027	0.8221	0.8101
Blood	Spec	0.6271	0.6578	0.6359	0.6600
	Sens	0.5334	0.5627	0.5646	0.5724
	F-Measure	0.6319	0.6316	0.6345	0.6400
Iris	Spec	0.9635	0.9373	0.9638	0.9684
	Sens	0.9602	0.9150	0.9543	0.9609
	F-Measure	0.9626	0.9195	0.9571	0.9637
Credit	Spec	0.9148	0.8805	0.8491	0.8792
	Sens	0.8844	0.8436	0.8194	0.8310
	F-Measure	0.8830	0.8437	0.8310	0.8359
Seeds	Spec	0.8625	0.9395	0.9197	0.9562
	Sens	0.9227	0.9302	0.9290	0.9274
	F-Measure	0.9162	0.9294	0.9263	0.9274
Haberman	Spec	0.6535	0.5933	0.5183	0.6792
	Sens	0.5654	0.5813	0.6091	0.6142
	F-Measure	0.6348	0.6312	0.6298	0.6651
Balance	Spec	0.7913	0.8523	0.8781	0.8930
	Sens	0.6306	0.6366	0.6309	0.6427
	F-Measure	0.6511	0.6625	0.6541	0.6961
Diabetes	Spec	0.6232	0.6482	0.6465	0.6532
	Sens	0.6031	0.6377	0.6207	0.6347
	F-Measure	0.6204	0.6567	0.6244	0.6502