MI
Benchmarks
TaskDatasetSOTA resultTrendResults
MI
-0.892Negative RMSE
29
MI 50% corrupted features noise
-0.892Negative RMSE
21
MI (test)
74.71Accuracy
17
MI with random extraneous features
0.993Precision
17
MI with random extraneous features
100ROC AUC
17
MI
4.4Rank
14
MI
-0.891Negative MSE
12
MI corrupted features
-0.892Negative MSE
12
MI 75% corrupted features noise
-0.895Negative RMSE
10
MI
91.8Accuracy
10
MI
0.646RMSE
5
MI (test)
93.8MLE Score
5
MI
0.026DCR
2