Table 9.

Results obtained from the 5 × 2 cv when the threshold is set to $3.0\times$ g: the different statistics are the Accuracy (Acc), Kappa factor (Kp), Sensitivity (Se), Specificity (Sp), Precision (Pr) and the geometric mean (G), all of them computed using Equations (1) to (8). The three different models are feed forward NN, Support Vector Machines (SVM), Decision Trees learned with C5.0 (DT) and Rule-Based Systems learned with C5.0 (RBS).

	NN						DT
Fold	Acc	Kp	Se	Sp	Pr	G	Acc	Kp	Se	Sp	Pr	G
1	0.8781	0.7564	0.8352	0.9315	0.9383	0.8852	0.9268	0.8535	0.8901	0.9726	0.9759	0.9320
2	0.9302	0.8603	0.9032	0.9620	0.9655	0.9339	0.9070	0.8131	0.9032	0.9114	0.9231	0.9131
3	0.9203	0.8387	0.9032	0.9429	0.9546	0.9285	0.9141	0.8278	0.8710	0.9714	0.9759	0.9219
4	0.9075	0.8156	0.8571	0.9634	0.9630	0.9085	0.9249	0.8490	0.9451	0.9024	0.9149	0.9299
5	0.9042	0.8064	0.9130	0.8933	0.9130	0.9130	0.8922	0.7832	0.8804	0.9067	0.9205	0.9002
6	0.9053	0.8100	0.8913	0.9221	0.9318	0.9113	0.9053	0.8108	0.8696	0.9481	0.9524	0.9100
7	0.8795	0.7568	0.8901	0.8667	0.8901	0.8901	0.8675	0.7362	0.8132	0.9333	0.9367	0.8728
8	0.9000	0.8002	0.8602	0.9481	0.9524	0.9051	0.8941	0.7882	0.8602	0.9351	0.9412	0.8998
9	0.9102	0.8178	0.9348	0.8800	0.9053	0.9199	0.9042	0.8078	0.8804	0.9333	0.9419	0.9106
10	0.9349	0.8695	0.9130	0.9610	0.9655	0.9389	0.8935	0.7875	0.8478	0.9481	0.9512	0.8980
mean	0.9070	0.8132	0.8901	0.9271	0.9379	0.9135	0.90230	0.8057	0.8761	0.9362	0.9434	0.9088
median	0.9064	0.8128	0.8973	0.9372	0.9453	0.9122	0.9048	0.8093	0.8757	0.9342	0.9415	0.9103
std	0.0187	0.0376	0.0305	0.0356	0.0272	0.0176	0.0175	0.0345	0.0347	0.0247	0.0212	0.0174
	RBS						SVM
Fold	Acc	Kp	Se	Sp	Pr	G	Acc	Kp	Se	Sp	Pr	G
1	0.9024	0.8041	0.8791	0.9315	0.9412	0.9096	0.9451	0.8888	0.9560	0.9315	0.9457	0.9508
2	0.9128	0.8246	0.9140	0.9114	0.9239	0.9189	0.8954	0.7905	0.8710	0.9241	0.9310	0.9005
3	0.9203	0.8398	0.8817	0.9714	0.9762	0.9278	0.9080	0.8125	0.9140	0.9000	0.9239	0.9189
4	0.9364	0.8724	0.9451	0.9268	0.9348	0.9399	0.9017	0.8035	0.8791	0.9268	0.9302	0.9043
5	0.8802	0.7586	0.8804	0.8800	0.9000	0.8902	0.9222	0.8421	0.9457	0.8933	0.9158	0.9306
6	0.8994	0.7987	0.8696	0.9351	0.9412	0.9047	0.9112	0.8205	0.9348	0.8831	0.9053	0.9199
7	0.8735	0.7473	0.8352	0.9200	0.9268	0.8798	0.9217	0.8406	0.9670	0.8667	0.8980	0.9319
8	0.9000	0.7989	0.8925	0.9091	0.9222	0.9072	0.8941	0.7887	0.8495	0.9481	0.9518	0.8992
9	0.8922	0.7838	0.8696	0.9200	0.9302	0.8994	0.9281	0.8544	0.9457	0.9067	0.9255	0.9355
10	0.8994	0.7987	0.8696	0.9351	0.9412	0.9047	0.9349	0.8692	0.9239	0.9481	0.9551	0.9394
mean	0.9017	0.8027	0.8837	0.9240	0.9338	0.9082	0.9162	0.8311	0.9187	0.9128	0.9282	0.9231
median	0.8997	0.7988	0.8798	0.9234	0.9325	0.9059	0.9165	0.8306	0.9294	0.9154	0.9279	0.9253
std	0.0184	0.0367	0.0293	0.0234	0.0194	0.0175	0.0171	0.0337	0.0396	0.0274	0.0189	0.0176