OpenML
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
OpenML ID 41919
0.727Mean ROC-AUC (OvO)
7
OpenML ID 41
95.301Mean ROC-AUC OvO
7
OpenML ID 40682
99.963Mean ROC-AUC OvO
7
OpenML ID 329
99.548Mean ROC-AUC OvO
7
OpenML ID 187
100Mean ROC-AUC OvO
7
OpenML ID 1523
94.589Mean ROC-AUC OvO
7
OpenML ID 1512
62.622Mean ROC-AUC OvO
7
OpenML ID 1499
99.626Mean ROC-AUC OvO
7
OpenML ID 1100
65.774Mean ROC-AUC OvO
7
OpenML 361244
98Coverage
6
OpenML 361237
99Coverage
6
OpenML 361235
99Coverage
6
OpenML 361234
98Coverage
6
OpenML 361242
96.5Coverage
6
OpenML 361237
98Coverage
6
OpenML 361236
95.2Coverage
6
OpenML 361234
95.1Coverage
6
OpenML dataset 361242 (N=21263, d=81)
95.5Coverage
6
OpenML dataset 361234
95.5Coverage
6
OpenML datasets
0.91AUC-ROC
6
OpenML
78nDCG (All)
5
Five OpenML benchmark datasets (average)
89.67Balanced Accuracy
4
OpenML (K ≥ 3, N ≥ 70,000)
58.41Policy Accuracy
3
OpenML K ≥ 3
57.98Policy Accuracy
3
OpenML 16 binary v2 (70/30 train test)
86.3Accuracy
2