Classification on Page-blocks
87.16Balanced AccCuBAS
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| CuBASSampling Strategy=CuBAS, Classifier=k-NN, Training set size=10%-80%, Repetitions=1002026.07 | 87.16 | — | — | |
| OGABActivation Function=Learnable2025.12 | 84.95 | 84.73 | — | |
| PReLUActivation Function=Learnable2025.12 | 83.72 | 83.78 | — | |
| ConvReLUActivation Function=Learnable2025.12 | 83.31 | 83.14 | — | |
| SoftPlusActivation Function=Non-learnable2025.12 | 82.8 | 82.64 | — | |
| SigmoidActivation Function=Non-learnable2025.12 | 81.7 | 83.8 | — | |
| TanhActivation Function=Non-learnable2025.12 | 81.57 | 82.52 | — | |
| ReLUActivation Function=Non-learnable2025.12 | 81.13 | 82.37 | — | |
| SLAFActivation Function=Learnable2025.12 | 80.2 | 81.41 | — | |
| BaselineActivation Function=None2025.12 | 76.35 | 80.46 | — | |
| SoftmaxActivation Function=Non-learnable2025.12 | 73.65 | 75.19 | — | |
| EntropySampling Strategy=Entropy, Classifier=k-NN, Training set size=10%-80%, Repetitions=1002026.07 | 72.56 | — | — | |
| RandomSampling Strategy=Random, Classifier=k-NN, Training set size=10%-80%, Repetitions=1002026.07 | 69.75 | — | — | |
| FAMeXFeature selection=Top 30%, Classifier=Decision Tree2026.05 | — | — | 96.46 | |
| FAMeXFeature selection=Bottom 30%, Classifier=Decision Tree2026.05 | — | — | 91.65 | |
| PFIFeature selection=Top 30%, Classifier=Decision Tree2026.05 | — | — | 90.72 | |
| PFIFeature selection=Bottom 30%, Classifier=Decision Tree2026.05 | — | — | 90.7 | |
| SHAPFeature selection=Top 30%, Classifier=Decision Tree2026.05 | — | — | 90.12 | |
| SHAPFeature selection=Bottom 30%, Classifier=Decision Tree2026.05 | — | — | 91.37 |