Table B.1.
Performance evaluations of the various feature sets for the geometry experiments using various metrics. The top three rows report the mean metric score (with the standard deviation) across ten different training/testing sets, while the bottom two rows report the mean improvement with the standard deviation of the metric scores with respect to the SHARP feature set.
| Feature set | Accuracy | Precision | Recall | F-10 score | HSS |
|---|---|---|---|---|---|
| SHARP | 0.89 ± 0.01 | 0.09 ± 0.01 | 0.79 ± 0.06 | 0.15 ± 0.01 | 0.13 ± 0.01 |
| Geometry | 0.88 ± 0.01 | 0.08 ± 0.01 | 0.79 ± 0.06 | 0.14 ± 0.01 | 0.12 ± 0.01 |
| SHARP + Geometry | 0.90 ± 0.01 | 0.09 ± 0.01 | 0.82 ± 0.06 | 0.17 ± 0.01 | 0.15 ± 0.01 |
| Geometry improvement | −0.01 ± 0.00 | −0.01 ± 0.00 | 0.00 ± 0.03 | −0.01 ± 0.01 | −0.02 ± 0.01 |
| SHARP + Geometry improvement | 0.01 ± 0.00 | 0.01 ± 0.00 | 0.03 ± 0.02 | 0.01 ± 0.00 | 0.01 ± 0.00 |
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