Table 10.

Results obtained from the 5 × 2 cv when the threshold is set to $3.09290\times$ 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	0.9226	0.8440	0.9239	0.9211	0.9341	0.9290	0.8988	0.7936	0.9565	0.8290	0.8713	0.9129
2	0.8810	0.7586	0.9130	0.8421	0.8750	0.8938	0.9286	0.8548	0.9674	0.8816	0.9082	0.9373
3	0.8810	0.7608	0.8696	0.8947	0.9091	0.8891	0.8333	0.6549	0.9674	0.6711	0.7807	0.8691
4	0.8750	0.7468	0.9022	0.8421	0.8737	0.8878	0.9048	0.8065	0.9457	0.8553	0.8878	0.9163
5	0.8988	0.7969	0.8804	0.9211	0.9310	0.9054	0.7798	0.5540	0.8152	0.7368	0.7895	0.8022
6	0.8869	0.7725	0.8804	0.8947	0.9101	0.8952	0.8810	0.7603	0.8804	0.8816	0.9000	0.8902
7	0.8988	0.7965	0.8913	0.9079	0.9214	0.9062	0.8691	0.7405	0.7935	0.9605	0.9605	0.8730
8	0.8810	0.7624	0.8370	0.9342	0.9390	0.8865	0.9226	0.8426	0.9674	0.8684	0.8990	0.9326
9	0.8691	0.7351	0.8913	0.8421	0.8723	0.8818	0.8929	0.7838	0.9022	0.8816	0.9022	0.9022
10	0.8750	0.7509	0.8261	0.9342	0.9383	0.8804	0.9167	0.8323	0.9130	0.9211	0.9333	0.9231
mean	0.8869	0.7725	0.8815	0.8934	0.9104	0.8955	0.8827	0.7623	0.9109	0.8487	0.8832	0.8959
median	0.8810	0.7616	0.8859	0.9013	0.9157	0.8915	0.8958	0.7887	0.9294	0.8750	0.8995	0.9075
std	0.0159	0.0320	0.0309	0.0380	0.0274	0.0147	0.0459	0.0935	0.0640	0.0856	0.0572	0.0403
	RBS						SVM
Fold	Acc	Kp	Se	Sp	Pr	G	Acc	Kp	Se	Sp	Pr	G
1	0.9107	0.8200	0.9130	0.9079	0.9231	0.9181	0.9345	0.8671	0.9674	0.8947	0.9175	0.9421
2	0.8929	0.7847	0.8804	0.9079	0.9205	0.9002	0.8988	0.7955	0.9130	0.8816	0.9032	0.9081
3	0.8869	0.7694	0.9457	0.8158	0.8614	0.9025	0.9107	0.8200	0.9130	0.9079	0.9231	0.9181
4	0.8988	0.7936	0.9565	0.8290	0.8713	0.9129	0.9048	0.8069	0.9348	0.8684	0.8958	0.9151
5	0.8691	0.7387	0.8261	0.9211	0.9268	0.8750	0.9107	0.8192	0.9348	0.8816	0.9053	0.9199
6	0.9107	0.8196	0.9239	0.8947	0.9141	0.9189	0.8869	0.7730	0.8696	0.9079	0.9195	0.8942
7	0.8631	0.7290	0.7826	0.9605	0.9600	0.8668	0.9405	0.8790	0.9787	0.8947	0.9184	0.9478
8	0.9286	0.8545	0.9783	0.8684	0.9000	0.9383	0.8988	0.7951	0.9239	0.8684	0.8947	0.9092
9	0.9107	0.8196	0.9239	0.8947	0.9140	0.9189	0.9107	0.8183	0.9565	0.8553	0.8889	0.9221
10	0.9286	0.8562	0.9239	0.9342	0.9444	0.9341	0.9167	0.8326	0.9022	0.9342	0.9432	0.9225
mean	0.9000	0.7985	0.9054	0.8934	0.9135	0.9086	0.9113	0.8207	0.9294	0.8895	0.9110	0.9199
median	0.9048	0.8066	0.9239	0.9013	0.9172	0.9155	0.9107	0.8188	0.9294	0.8882	0.9114	0.9190
std	0.0224	0.0438	0.0602	0.0449	0.0300	0.0232	0.0162	0.0324	0.0325	0.0234	0.0164	0.0157