Table 4.
Classification performance obtained with different input feature spaces.
| Input features | Accuracy | Precision | F1 score |
|---|---|---|---|
| Clustered abundances | 72.4 ± 2.1 | 72.7 ± 2.2 | 73.2 ± 2.4 |
| 10D PCA | 73.3 ± 2.3 | 73.6 ± 2.4 | 73.6 ± 2.4 |
| 10D MTL | 73.8 ± 2.4 | 74.0 ± 2.5 | 73.8 ± 2.4 |
| 9D PCA without V | 74.1 ± 2.3 | 74.2 ± 2.5 | 74.1 ± 2.4 |
| Abundances without Co | 75.0 ± 2.1 | 75.3 ± 1.9 | 75.4 ± 2.3 |
| All abundances | 75.2 ± 2.3 | 75.5 ± 2.3 | 75.7 ± 2.3 |
| Abundances without V, Co, TiII | 76.0 ± 2.3 | 76.5 ± 2.4 | 75.5 ± 2.2 |
| Abundances without V, Co | 76.1 ± 2.2 | 76.8 ± 2.3 | 75.7 ± 2.2 |
| Abundances without V, TiII | 76.2 ± 2.2 | 76.6 ± 2.3 | 76.0 ± 2.4 |
| Abundances without V | 76.4 ± 2.4 | 76.7 ± 2.5 | 76.5 ± 2.4 |
Notes. Classification performance (expressed as percentages), averaged across folds, obtained with different input feature spaces, using only high-quality clusters and a RBF SVM classifier. Clustered abundances refers to the subset of chemical elements defined through correlation clustering: Si, C, Mg, Fe, Ti, S, Na, N, V, TiII (see Fig. 3).
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