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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

  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