List your company
ResearchFormerly WizWand

Classification on australian (accuracy)

91.4AccuracyBAEN-SVM
82.40484.739587.07589.4105Mar 9, 2026Mar 14, 2026Mar 19, 2026Mar 24, 2026Mar 29, 2026Apr 3, 2026Apr 9, 2026
Updated 6mo ago

Evaluation results

MethodLinks
BAEN-SVMKernel=RBF, Noise level=25%, Noise type=label noise2026.0491.4
ε-BAEN SVMKernel=RBF, Noise level=25%, Noise type=label noise2026.0491.4
BQ-SVMKernel=RBF, Noise level=25%, Noise type=label noise2026.0490.5
BALS-SVMKernel=RBF, Noise level=25%, Noise type=label noise2026.0490.5
Pin-SVMKernel=RBF, Noise level=25%, Noise type=label noise2026.0489.5
ALS-SVMKernel=RBF, Noise level=25%, Noise type=label noise2026.0489.5
EN-SVMKernel=RBF, Noise level=25%, Noise type=label noise2026.0489.5
BALS-SVMKernel=linear, Noise Level=0%2026.0488.1
BAEN-SVMKernel=linear, Noise Level=0%2026.0488.1
BALS-SVMKernel=linear, Noise Level=25% feature noise2026.0488
ALS-SVMKernel=linear, Noise Level=0%2026.0487.8
ALS-SVMKernel=linear, Noise Level=25% feature noise2026.0487.8
EN-SVMKernel=linear, Noise Level=25% feature noise2026.0487.8
ε-BAEN-SVMKernel=linear, Noise Level=25% feature noise2026.0487.7
BQ-SVMKernel=linear, Noise Level=0%2026.0487.5
BQ-SVMKernel=linear, Noise Level=25% label noise2026.0487.5
BAEN-SVMKernel=linear, Noise Level=25% feature noise2026.0487.5
BAEN-SVMKernel=linear, Noise Level=25% label noise2026.0487.4
BQ-SVMKernel=linear, Noise Level=25% feature noise2026.0487.4
BALS-SVMKernel=linear, Noise Level=25% label noise2026.0487.1
EN-SVMKernel=linear, Noise Level=0%2026.0486.8
ε-BAEN-SVMKernel=linear, Noise Level=0%2026.0486.8
Pin-SVMKernel=linear, Noise Level=25% feature noise2026.0486.7
ALS-SVMKernel=linear, Noise Level=25% label noise2026.0486.4
Pin-SVMKernel=linear, Noise Level=25% label noise2026.0486.2
ε-BAEN-SVMKernel=linear, Noise Level=25% label noise2026.0486.1
CfsSubset Eval-F(#)Classification Algorithm=KNN2026.0386.09
Pin-SVMKernel=linear, Noise Level=0%2026.0485.7
EN-SVMKernel=linear, Noise Level=25% label noise2026.0485.7
CfsSubset Eval-F(#)Classification Algorithm=Linear SVM2026.0385.51
RSFSAID-F(#)Classification Algorithm=Linear SVM2026.0385.51
OriginalClassification Algorithm=Linear SVM2026.0385.36
FARNem-F(#)Classification Algorithm=Linear SVM2026.0385.36
WARA-F(#)Classification Algorithm=Linear SVM2026.0385.22
FSbuHD-F(#)Classification Algorithm=Linear SVM2026.0385.22
FSbuHD-F(#)Classification Algorithm=KNN2026.0384.35
FSbuHD-F(#)Classification Algorithm=Complex Tree2026.0384.35
WARA-F(#)Classification Algorithm=Complex Tree2026.0383.48
WARA-F(#)Classification Algorithm=KNN2026.0383.19
RSFSAID-F(#)Classification Algorithm=Complex Tree2026.0383.19
RSFSAID-F(#)Classification Algorithm=KNN2026.0383.04
OriginalClassification Algorithm=Complex Tree2026.0383.04
FARNem-F(#)Classification Algorithm=Complex Tree2026.0383.04
OriginalClassification Algorithm=KNN2026.0382.9
FARNem-F(#)Classification Algorithm=KNN2026.0382.9
CfsSubset Eval-F(#)Classification Algorithm=Complex Tree2026.0382.75