Pipeline Performance Estimation (Accuracy Target) on OpenML (unseen)
0.0081MSEConf.-specific
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Conf.-specificDataset Embedding=MF All, Meta-Models=1,0282026.03 | 0.0081 | 0.6748 | 73.63 | 73.58 | |
| Conf.-specificDataset Embedding=MF Landmarkers, Meta-Models=1,0282026.03 | 0.0092 | 0.6428 | 71.52 | 71.39 | |
| KGmetaSP_PEDataset Embedding=MF All, Meta-Models=12026.03 | 0.0101 | 0.6181 | 74.13 | 74.27 | |
| KGmetaSP_PEDataset Embedding=MF Landmarkers, Meta-Models=12026.03 | 0.0104 | 0.6094 | 71.69 | 71.72 | |
| Conf.-specificDataset Embedding=MF Statistical, Meta-Models=1,0282026.03 | 0.0218 | 0.0892 | 54.99 | 54.84 | |
| Conf.-specificDataset Embedding=MF Info. Theory, Meta-Models=1,0282026.03 | 0.0249 | -0.0737 | 44.28 | 44.23 | |
| KGmetaSP_PEDataset Embedding=MF Statistical, Meta-Models=12026.03 | 0.0259 | 0.0212 | 58.27 | 58.3 | |
| KGmetaSP_PEDataset Embedding=MF Info. Theory, Meta-Models=12026.03 | 0.0401 | -0.5135 | 47.73 | 47.89 |