A Predictive Model for Guillain-Barré Syndrome Based on Single Learning Algorithms

Table 4

OvA classification results. The standard deviation of each metric is shown in normal font.

AMAN versus ALL			AMSAN versus ALL			AIDP versus ALL			MF versus ALL
Classifier	Balanced accuracy	AUC	Classifier	Balanced accuracy	AUC	Classifier	Balanced accuracy	AUC	Classifier	Balanced accuracy	AUC
SVMPoly	0.9498	0.9498	NN	0.8951	0.8951	MLP	0.8183	0.8183	Naive Bayes	0.8956	0.8956
	0.0135	0.0135		0.0124	0.0124		0.0204	0.0204		0.0252	0.0252
SVMLap	0.9459	0.9459	C4.5	0.8860	0.8860	SVMLap	0.8158	0.8158	JRip	0.8395	0.8395
	0.0173	0.0173		0.0163	0.0163		0.0214	0.0214		0.0424	0.0424
NN	0.9441	0.9441	SVMLap	0.8767	0.8767	C4.5	0.8083	0.8083	LDA	0.8218	0.8218
	0.0067	0.0067		0.0189	0.0189		0.0226	0.0226		0.0371	0.0371
SVMGaus	0.9400	0.9400	SLP	0.8647	0.8647	NN	0.8012	0.8012	SVMGaus	0.8168	0.8168
	0.0177	0.0177		0.0229	0.0229		0.0135	0.0135		0.0397	0.0397
MLP	0.9256	0.9256	RBF-DDA	0.8629	0.8629	LDA	0.7928	0.7928	SVMLin	0.8150	0.8150
	0.0180	0.0180		0.0138	0.0138		0.0138	0.0138		0.0438	0.0438
SLP	0.9244	0.9244	MLP	0.8527	0.8527	SVMGaus	0.7807	0.7807	C4.5	0.7971	0.7971
	0.0193	0.0193		0.0180	0.0180		0.0222	0.0222		0.0446	0.0446
C4.5	0.9224	0.9224	SVMPoly	0.8454	0.8454	JRip	0.7800	0.7800	SVMPoly	0.7711	0.7711
	0.0199	0.0199		0.0183	0.0183		0.0403	0.0403		0.0420	0.0420
SVMLin	0.9046	0.9046	JRip	0.8420	0.8420	SLP	0.7753	0.7753	NN	0.7609	0.7609
	0.0244	0.0244		0.0212	0.0212		0.0323	0.0323		0.0426	0.0426
RBF-DDA	0.9033	0.9033	SVMGaus	0.8403	0.8403	RBF-DDA	0.7715	0.7715	MLP	0.7579	0.7579
	0.0194	0.0194		0.0184	0.0184		0.0254	0.0254		0.0695	0.0695
LDA	0.8902	0.8902	Naive Bayes	0.8112	0.8112	BLR	0.7588	0.7588	SVMLap	0.7556	0.7556
	0.0125	0.0125		0.0140	0.0140		0.0233	0.0233		0.0422	0.0422
Naive Bayes	0.8794	0.8794	BLR	0.7969	0.7969	SVMPoly	0.7578	0.7578	SLP	0.7211	0.7211
	0.0182	0.0182		0.0188	0.0188		0.0228	0.0228		0.0659	0.0659
BLR	0.8556	0.8556	LDA	0.7963	0.7963	SVMLin	0.7552	0.7552	BLR	0.7211	0.7211
	0.0197	0.0197		0.0152	0.0152		0.0204	0.0204		0.0659	0.0659
JRip	0.8454	0.8454	OneR	0.7925	0.7925	Naive Bayes	0.7432	0.7465	OneR	0.6641	0.6641
	0.0312	0.0312		0.0191	0.0191		0.0100	0.0155		0.0403	0.0403
OneR	0.6313	0.6339	SVMLin	0.7916	0.7922	OneR	0.6497	0.6517	RBF-DDA	0.5071	0.5071
	0.0404	0.0413		0.0192	0.0195		0.0486	0.0489		0.0288	0.0288