Classification on sylvine
95.509Balanced AccuracyXGBoost
Evaluation results
| Method | Links | |
|---|---|---|
| XGBoostHPO=BOHB2021.06 | 95.509 | |
| ASK-GBDTHPO=SMAC, Library=Auto-sklearn2021.06 | 95.119 | |
| CuBASSampling Strategy=CuBAS, Classifier=k-NN, Training set size=10%-80%, Repetitions=1002026.07 | 94.7 | |
| MLP+CRegularization=Cocktails2021.06 | 94.045 | |
| NODE2021.06 | 93.852 | |
| AutoGluonStacking=true2021.06 | 93.753 | |
| MLP+DRegularization=Dropout2021.06 | 93.363 | |
| MLP2021.06 | 93.07 | |
| EntropySampling Strategy=Entropy, Classifier=k-NN, Training set size=10%-80%, Repetitions=1002026.07 | 84.81 | |
| TabNet2021.06 | 83.595 | |
| RandomSampling Strategy=Random, Classifier=k-NN, Training set size=10%-80%, Repetitions=1002026.07 | 80 |