Pipeline Performance Estimation (Precision Target) on OpenML (unseen)
0.0133MSEConf.-specific
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Conf.-specificDataset Embedding=MF All, Meta-Models=1,0282026.03 | 0.0133 | 0.6311 | 73.47 | 74 | |
| Conf.-specificDataset Embedding=MF Landmarkers, Meta-Models=1,0282026.03 | 0.0148 | 0.6069 | 69.87 | 70.06 | |
| KGmetaSP_PEDataset Embedding=MF All, Meta-Models=12026.03 | 0.0164 | 0.5449 | 75.37 | 75.62 | |
| KGmetaSP_PEDataset Embedding=MF Landmarkers, Meta-Models=12026.03 | 0.0184 | 0.4889 | 72.47 | 72.69 | |
| Conf.-specificDataset Embedding=MF Statistical, Meta-Models=1,0282026.03 | 0.0274 | 0.1221 | 54.9 | 54.87 | |
| Conf.-specificDataset Embedding=MF Info. Theory, Meta-Models=1,0282026.03 | 0.033 | -0.0933 | 43.24 | 43.5 | |
| KGmetaSP_PEDataset Embedding=MF Statistical, Meta-Models=12026.03 | 0.0346 | 0.0381 | 58.97 | 58.96 | |
| KGmetaSP_PEDataset Embedding=MF Info. Theory, Meta-Models=12026.03 | 0.0506 | -0.4059 | 49.61 | 50.07 |