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Table 5 Classification results for the score matrices with SLiMs obtained from CM using FS

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 (c=1,g=0) 62.0 0.24 0.62
  11 RF 80.1 0.60 0.85
   k-NN (k=1) 78.6 0.57 0.79
T score matrix   SVM-Polynomial (c=1,g=0) 60.2 0.21 0.60
  9 RF 70.5 0.415 0.80
   k-NN (k=1) 68.7 0.38 0.69