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Table 2 SCOP inter-version blind prediction using random forest

From: Automatic structure classification of small proteins using random forest

Shared SCOP Level Evaluation Strategies (Accuracy)
  Strategy 1 (85%) Strategy 2 (93%)
  Pre Rec MCC Pre Rec MCC
Class 0.89 0.84 0.73 0.94 0.99 0.81
Fold 0.86 0.45 0.61 0.93 0.41 0.61
Super-family 0.80 0.55 0.69 0.75 0.55 0.63
Family 0.82 0.87 0.83 0.84 0.85 0.83
None 0.81 0.91 0.76 n/a n/a n/a
  1. The prediction accuracies and the class-wise performance of the random forest in strategies 1 and 2. Percent accuracy is the percentage of correctly classified domain pairs from all of the shared SCOP levels. Pre = Precision, Rec = Recall and MCC = Matthew's correlation coefficient.