Table 6 The results of the k-fold cross-validation with the different areas inder ROC curve and the optimal parameters. The varations in the optimal factors are due to some factors f i being an order of magnitude higher than the rest of the factors.
From: Homology Induction: the use of machine learning to improve sequence similarity searches
k | AUROC Hiall | factor f Hiall | AUROC Hiseq | factor f Hiseq |
|---|---|---|---|---|
5 | 0.6525 ± 0.059 | 9.6 × 10-5 ± 6.07 × 10-5 | 0.6135 ± 0.0589 | 6.0 × 10-2 ± 2.82 × 10-2 |
10 | 0.6728 ± 0.1085 | 7.8 × 10-5 ± 4.47 × 10-5 | 0.6391 ± 0.1022 | 7.5 × 10-2 ± 2.12 × 10-2 |
25 | 0.7342 ± 0.1234 | 6.6 × 10-5 ± 2.8 × 10-5 | 0.6951 ± 0.1029 | 7.56 × 10-2 ± 1.73 × 10-2 |