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Table 2 Classification results for the score matrices with SLiMs obtained from SM using 3-fold cross validation

From: The predictive performance of short-linear motif features in the prediction of calmodulin-binding proteins

Dataset for classification # features Classifier Accuracy (%) MCC ROC Area
S score matrix   SVM-Polynomial 72.6 0.45 0.73
  100 RF 73.1 0.46 0.81
   k-NN (k=1) 80.6 0.61 0.81
T score matrix   SVM-Polynomial 55.0 0.11 0.55
  100 RF 68.5 0.38 0.77
   k-NN (k=1) 59.7 0.27 0.60
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