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Classification on gisette (test)

97.86Accuracy

LR

Updated 1mo ago

Evaluation Results

Method	Links
LR 2026.06		97.86	-	-
OEHG 2026.02		97.7	0.083	-
OEHG 2026.02		97.6	0.0879	-
NB2M-FS 2026.06		97.59	-	-
NBM-FS 2026.06		97.4	-	-
MLP 2026.06		97.32	-	-
OEHG 2026.02		97.3	0.1056	-
NODE-GA2M 2026.06		97.21	-	-
NAM 2026.06		97.15	-	-
NBM 2026.06		97.11	-	-
XGBoost 2026.06		97.11	-	-
NODE-GAM 2026.06		97.06	-	-
NAM-FS 2026.06		96.84	-	-
EB2M 2026.06		96.71	-	-
NA2M-FS 2026.06		96.65	-	-
NA2M-FS 2026.06		96.11	-	-
NB2M-FS 2026.06		95.97	-	-
EBM 2026.06		95.75	-	-
RHG 2026.02		95.52	0.18	-
NBM-FS 2026.06		95.09	-	-
NAM-FS 2026.06		94.38	-	-
Decision Tree 2026.06		94.33	-	-
RHG 2026.02		93.87	0.2187	-
RHG 2026.02		92.66	0.2421	-
RHG 2026.02		90.55	0.3225	-
RHG 2026.02		89.82	0.3766	-
AID-CG 2026.02		89.49	0.3821	-
T-RHG 2026.02		85.92	0.3896	-
T-RHG 2026.02		85.49	0.4951	-
Moeliga 2026.03		-	-	91
ReliefF 2026.03		-	-	93
Surf 2026.03		-	-	93
Surf* 2026.03		-	-	93
MSurf 2026.03		-	-	91
MSurf* 2026.03		-	-	93
MI 2026.03		-	-	92
RFE 2026.03		-	-	91
KBest 2026.03		-	-	93
SFS 2026.03		-	-	90
SFFS 2026.03		-	-	92
Boruta 2026.03		-	-	92