Research Article
Semi-Supervised Predictive Clustering Trees for (Hierarchical) Multi-Label Classification
Table 6
Training times for SL-PCTs and SSL-PCTs.
| Dataset | SL-PCT | SSL-PCT | CLUS-RF | SSL-RF |
| Hierarchical multi-label classification | Danish farms | 0.3 | 3.8 | 1.4 | 1.4 | Slovenian rivers | 0.7 | 1.6 | 14.7 | 14.7 | Enron | 1 | 291.2 | 2.1 | 2.1 | ImCLEF07A | 0.4 | 20.1 | 2.4 | 2.4 | ImCLEF07D | 0.4 | 8.4 | 1.8 | 47.1 | Diatoms | 7.2 | 100.6 | 11.8 | 11.8 | Cellcycle-GO | 18.5 | 18.5 | 109.9 | 109.9 | Church-GO | 2.3 | 2.3 | 49.4 | 5 | Derisi-GO | 16.8 | 16.8 | 117.1 | 2500.4 | Eisen-GO | 12.1 | 196.8 | 157.3 | 157.3 | Expr-GO | 120.4 | 1031.6 | 267.3 | 267.3 | Pheno-GO | 1.2 | 1.2 | 4.8 | 4.8 | Average | 15.1 | 141.1 | 61.7 | 260.4 |
| Multi-label classification | Bibtex | 8.1 | 790.2 | 12.9 | 686.4 | Birds | 2.1 | 16.2 | 4.3 | 4.3 | Corel5k | 16.1 | 16.1 | 99.7 | 1314 | Emotions | 0.4 | 0.4 | 1.5 | 7.7 | Enron | 1.7 | 61.8 | 2.7 | 77.8 | Genbase | 0.1 | 0.5 | 0.4 | 0.4 | Mediana | 0.2 | 0.2 | 1.2 | 1.2 | Medical | 1 | 51.8 | 1.3 | 35.1 | Scene | 1.1 | 84.6 | 2.2 | 2.2 | SIGMEA real | 0.1 | 0.1 | 0.5 | 1 | Slovenian rivers | 0.2 | 0.4 | 1.4 | 3.8 | Yeast | 1 | 12 | 3.4 | 3.4 | Average | 2.7 | 86.2 | 11.0 | 178.1 |
|
|