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ResearchFormerly WizWand

Classification on Twonorm (20,3700,3700)

97.7AccuracyPeer
87.92490.4629395.538Oct 8, 2019
Updated 8mo ago

Evaluation results

MethodLinks
Peernoise_rates=0.1, 0.3, prior_equalization=p = 0.52019.1097.7
Peernoise_rates=0.1, 0.3, prior_equalization=p != 0.52019.1097.7
PeerPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.1097.7
PeerPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.1097.7
PeerPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.1097.6
PeerPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.1097.6
DMInoise_rates=0.1, 0.3, prior_equalization=p = 0.52019.1097.4
DMInoise_rates=0.1, 0.3, prior_equalization=p != 0.52019.1097.4
DMIPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.1097.4
DMIPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.1097.4
PeerPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.1097.3
PeerPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.1097.3
Symmnoise_rates=0.1, 0.3, prior_equalization=p = 0.52019.1096.9
Symmnoise_rates=0.1, 0.3, prior_equalization=p != 0.52019.1096.9
SymmPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.1096.9
SymmPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.1096.9
Surrnoise_rates=0.1, 0.3, prior_equalization=p = 0.52019.1096.8
Surrnoise_rates=0.1, 0.3, prior_equalization=p != 0.52019.1096.8
SurrPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.1096.8
SurrPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.1096.8
C-SVMnoise_rates=0.1, 0.3, prior_equalization=p = 0.52019.1096.6
C-SVMnoise_rates=0.1, 0.3, prior_equalization=p != 0.52019.1096.6
DMIPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.1096.6
DMIPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.1096.6
NNnoise_rates=0.1, 0.3, prior_equalization=p = 0.52019.1096.4
NNnoise_rates=0.1, 0.3, prior_equalization=p != 0.52019.1096.4
NNPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.1096.4
NNPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.1, 0.32019.1096.4
SymmPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.1095.9
SymmPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.1095.9
SymmPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.1095.8
SymmPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.1095.8
DMIPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.1093.6
DMIPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.1093.6
SurrPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.1093.4
SurrPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.1093.4
SurrPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.1091.9
SurrPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.1091.9
NNPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.1091.1
NNPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.2, 0.42019.1091.1
NNPrior Equalization=p = 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.1088.3
NNPrior Equalization=p != 0.5, Noise rates (e-1, e+1)=0.4, 0.42019.1088.3