SVM-light vs. ELR (for only UCI binary-class datasets)
	svm-light		svm-light		svm-light		svm-light		svm-light		svm-light		svm-light		svm-light
	best value		t1d2		c0.5t1d2		c0.05t1d2		c0.005t1d2		c0.0005t1d2		c0.00005t1d2		c0.000005t1d2
australian	77.1	2.88	60.15	6.21	64.93	14.1	70.29	9.11	66.38	11.76	66.38	13.56	57.97	15.05	77.1	2.88
breast	96.62	1.23	96.62	1.23	93.53	2.23	93.97	1.21	94.41	2.36	96.47	1.42	96.62	1.23	96.32	1.56
chess	98.97	0	95.97	0	98.97	0	97.65	0	94.47	0	91.09	0	54.78	0	53.19	0
cleve	80.34	3.08	65.42	6.06	73.9	3.08	72.54	4.39	72.88	2.68	79.32	4.7	78.98	3.08	80.34	3.08
corral	100	0	99.2	1.79	100	0	96.8	5.22	84.8	7.16	56.8	10.35	56.8	10.35	56.8	10.35
crx	70.31	6.43	57.54	5.53	70.31	6.43	70.15	8.34	68.61	10.17	68.77	10.51	64	15.34	60.77	15.94
diabetes	76.34	3.5	75.69	2.9	68.89	5.48	69.28	5.77	71.89	6.96	75.16	4.05	76.34	3.5	75.86	3.97
flare	82.91	3.13	82.91	3.13	82.63	3.02	82.06	3.81	82.82	3.4	82.91	3.13	82.91	3.13	82.91	3.13
german	68.7	5.75	68.7	5.75	66.1	2.41	66.2	1.75	65.6	2.99	66.3	0.97	66.5	1.12	66.4	2.16
glass2	79.37	8.45	53.75	11.35	73.75	5.68	79.37	8.45	74.38	11.35	71.88	12.3	66.25	10.69	62.5	11.89
heart	83.33	3.21	64.82	7.75	76.67	2.11	76.67	2.81	77.04	3.61	79.63	4.54	80.81	5.02	83.33	3.21
hepatitis	86.25	5.23	83.75	7.13	86.25	5.23	86.25	5.23	86.25	5.23	86.25	5.23	86.25	5.23	83.75	3.42
mofn-3-7-10	100	0	100	0	100	0	100	0	77.34	0	77.34	0	77.34	0	77.34	0
pima	75.95	2.03	74.9	3.08	70.2	4.2	70.59	4.03	70.33	5.12	75.68	2.97	75.95	2.03	74.77	2.67
vote	95.17	1.5	95.17	1.5	92.87	1.71	93.1	1.15	95.4	1.41	93.79	3.31	61.38	8.32	61.38	8.32
average	84.757		78.306		81.2667		81.661		78.84		77.85		72.192		72.851
NB+ELR>SVM-light(best average)				p<	0.022641
TAN+ELR>SVM-light(best average)				p<	0.003621
GBN+ELR>SVM-light(best average)				p<	0.00776
best average: c=0.05 + poly 2 (t=1 d=2)
													SVM-light c 0.05 poly 2
							svm-light						training time (minutes)
	NB+ELR		TAN+ELR		GBN+ELR		best value (cXt1d2)
australian	84.93	1.06	84.93	1.03	86.81	1.11	77.1	2.88					australian	41
breast	96.32	0.66	96.32	0.7	95.74	0.43	96.62	1.23					breast	1
chess	95.4	0.64	97.19	0.51	90.06	0.92	98.97	0					chess	1
cleve	81.36	2.46	81.36	1.78	82.03	1.83	80.34	3.08					cleve	1
corral	86.4	3.25	100	0	100	0	100	0					corral	1
crx	86.46	1.85	86.15	1.7	85.69	1.3	70.31	6.43					crx	17
diabetes	75.16	1.39	73.33	1.97	76.34	1.3	76.34	3.5					diabetes	1
flare	82.82	1.35	83.1	1.29	82.63	1.28	82.91	3.13					flare	3
german	74.6	0.58	73.5	0.84	73.7	0.68	68.7	5.75					german	1
glass2	81.88	3.62	80	3.9	78.75	3.34	79.37	8.45					glass2	1
heart	78.52	3.44	78.15	3.86	78.89	4.17	83.33	3.21					heart	1
hepatitis	86.25	5.38	85	5.08	90	4.24	86.25	5.23					hepatitis	1
mofn-3-7-10	100	0	100	0	100	0	100	0					mofn-3-7-10	1
pima	75.16	2.48	74.38	2.58	74.25	2.53	75.95	2.03					pima	2
vote	95.86	0.78	95.4	0.63	95.86	0.78	95.17	1.5					vote	1
average	85.408		85.921		86.05		84.757						average	4.933
NB+ELR>SVM-light (best value)				p<	0.350819
TAN+ELR>SVM-light (best value)				p<	0.194529
GBN+ELR>SVM-light (best value)				p<	0.19641
best value: the c value for best accuracy + poly 2
-c float    - C: trade-off between training error
and margin (default [avg. x*x]^-1)
-t int      - type of kernel function:
0: linear (default)
1: polynomial (s a*b+c)^d
2: radial basis function exp(-gamma ||a-b||^2)
-d int      - parameter d in polynomial kernel