Classification on Dataset-8 Climate OpenML-CC18 (test)
96.3AccuracyLogistic Regression
Evaluation Results
| Method | Links | |
|---|---|---|
| Logistic RegressionEvaluation protocol=Raw features2021.10 | 96.3 | |
| VIME-selfArchitecture=[256, 256, 256, 256], Evaluation protocol=Logistic regression on embeddings2021.10 | 95.56 | |
| AE w/ DropoutArchitecture=[256, 256, 256, 256], Dropout (p)=0.04, Evaluation protocol=Logistic regression on embeddings2021.10 | 95.04 | |
| Autoencoder (AE)Architecture=[256, 256, 256, 256], Dropout (p)=0, Evaluation protocol=Logistic regression on embeddings2021.10 | 95.01 | |
| SubTabArchitecture=[256, 256, 256, 256], Dropout (p)=0, Evaluation protocol=Logistic regression on embeddings2021.10 | 93.89 | |
| SubTab w/ DropoutArchitecture=[256, 256, 256, 256], Dropout (p)=0.04, Evaluation protocol=Logistic regression on embeddings2021.10 | 93.33 |