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Classification on Monk (test)

100AccuracyEN-SVM
38.6454.5770.586.43Mar 20, 2026Apr 2, 2026Apr 15, 2026Apr 28, 2026May 11, 2026May 24, 2026Jun 6, 2026

Evaluation results

MethodLinks
EN-SVMKernel=RBF, Noise Level=0%2026.04100———————
BQ-SVMKernel=RBF, Noise Level=0%2026.04100———————
ε-BAEN-SVMKernel=RBF, Noise Level=0%2026.0499.5———————
BAEN-SVMKernel=RBF, Noise Level=0%2026.0498.1———————
Pin-SVMKernel=RBF, Noise Level=0%2026.0497.9———————
ALS-SVMKernel=RBF, Noise Level=0%2026.0497.9———————
BALS-SVMKernel=RBF, Noise Level=0%2026.0497.5———————
BALS-SVMKernel=linear, Noise Type=label noise, Noise Level=25%2026.0485.1———————
ε-BAEN-SVMKernel=linear, Noise Type=label noise, Noise Level=25%2026.0484.2———————
BQ-SVMKernel=linear, Noise Type=label noise, Noise Level=25%2026.0483.5———————
Pin-SVMKernel=linear, Noise Type=label noise, Noise Level=25%2026.0482.6———————
BAEN-SVMKernel=linear, Noise Type=label noise, Noise Level=25%2026.0482.6———————
ALS-SVMKernel=linear, Noise Type=label noise, Noise Level=25%2026.0480.7———————
EN-SVMKernel=linear, Noise Type=label noise, Noise Level=25%2026.0480.5———————
Best RAModel=Best RA2026.0370.5——————0.16
Tab-PE2026.0664.84———————
AIM2026.0661.54———————
BaselineModel=Baseline2026.0358.9——————0.11
Best RTModel=Best RT2026.0358——————0.1
Best RBModel=Best RB2026.0358——————0.1
Best RBModel=Best RB2026.0352.6——————2
Best RAModel=Best RA2026.0351.7——————2
Best RTModel=Best RT2026.0350.1——————2
BaselineModel=Baseline2026.0341——————2
BaselineModel=Baseline2026.03—68.72071.41,34452.63—
Best R_AModel=Best R_A2026.03—79.41578.570857.12—
Best R_BModel=Best R_B2026.03—60.71578.570855.32—
Best R_TModel=Best R_T2026.03—79.41579.470157.12—