Table 2 Prediction accuracies of the specialized predictors. The per-chain accuracies and standard errors were estimated via a 10-fold cross-validation procedure (see Performance evaluation). Using all 54 features, the two predictors were built as linear SVMs with parameter C, which represents the trade-off between training error and margin, set to 0.5 and 1, respectively. Default decision threshold of 0.5 was used for both predictors. SN S and SN L are sensitivities, or true positive rates, on short and long disordered regions, respectively. SP is specificity, or true negative rate, on ordered regions. ACC S is the overall accuracy for VSL2-S calculated as (SN S + SP)/2, while ACC L is for VSL2-L as (SN L + SP)/2.
From: Length-dependent prediction of protein intrinsic disorder
| Â | W in | W out | SN S | SN L | SP | ACC S /ACC L |
|---|---|---|---|---|---|---|
|  | 15 | 5 | 82.0 ± 1.1 | 70.7 ± 1.9 | 81.5 ± 0.3 | 81.7 ± 0.6 |
VSL2-S | 15 | 31 | 56.5 ± 1.7 | 71.3 ± 2.3 | 89.1 ± 0.4 | 73.0 ± 0.8 |
|  | 41 | 5 | 79.8 ± 1.3 | 72.8 ± 1.9 | 81.2 ± 0.4 | 80.5 ± 0.7 |
|  | 41 | 31 | 68.8 ± 1.6 | 74.3 ± 2.2 | 85.3 ± 0.4 | 77.1 ± 0.8 |
|  | 15 | 5 | 70.8 ± 1.4 | 78.6 ± 1.9 | 80.1 ± 0.6 | 79.4 ± 1.0 |
VSL2-L | 15 | 31 | 53.4 ± 1.7 | 79.9 ± 2.2 | 84.9 ± 0.6 | 82.4 ± 1.1 |
|  | 41 | 5 | 50.1 ± 1.7 | 80.9 ± 2.1 | 85.7 ± 0.5 | 83.3 ± 1.1 |
|  | 41 | 31 | 44.1 ± 1.8 | 82.1 ± 2.2 | 87.3 ± 0.5 | 84.7 ± 1.2 |