Table 6.
Performance of the classification models. Accuracy columns report the percentage (fraction) of the samples of the test set classified correctly; the gain is the difference between the base and extended feature sets.
| Training Set | Test Set | Accuracy (Base) [% (Fraction)] |
Accuracy (Extended) [% (Fraction)] |
Gain [pp (Fraction)] |
|---|---|---|---|---|
| SSR-1 | SSR-1 | 65.1 (71/109) | 66.1 (72/109) | 0.9 (1/109) |
| LUNGx | LUNGx | 54.2 (45/83) | 62.7 (52/83) | 8.4 (7/83) |
| SSR-1 | LUNGx | 49.4 (41/83) | 63.8 (53/83) | 14.5 (12/83) |
| LUNGx | SSR-1 | 57.8 (63/109) | 63.9 (71/109) | 7.3 (8/109) |