Classification on Datasets with a large number of classes (test)
88.5Mean AccuracyXGBoost
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| XGBoost2024.02 | 88.5 | 2 | 1.052 | 0.558 | 1.245 | 12 | |
| KNN2024.02 | 78.9 | 3.976 | 0.121 | 0.262 | 0.103 | 0 | |
| CatBoost2024.02 | 78.1 | 4.524 | -0.177 | 0.96 | 0.107 | 2 | |
| TuneTables2024.02 | 77.9 | 2.524 | 0.602 | 0.932 | 0.971 | 5 | |
| rtdl_ResNet2024.02 | 77.6 | 3.929 | 0.053 | 0.826 | -0.006 | 2 | |
| Random Forest2024.02 | 75.1 | 5.214 | -0.628 | 0.754 | -0.767 | 0 | |
| rtdl_MLP2024.02 | 62.4 | 5.833 | -1.022 | 0.908 | -1.257 | 0 |