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Table 13 Early integration results for S2783 data set.

From: Machine learning integration for predicting the effect of single amino acid substitutions on protein stability

  k-NN DT SVM SVR
  cv test cv test cv test cv test
S O 0.795 0.794 0.748 0.762 0.829 0.832 0.825 0.828
S O * 0.793 0.794 0.751 0.756 0.829 0.829 0.824 0.827
T O 0.804 0.803 0.762 0.769 0.821 0.824 0.813 0.818
T O * 0.806 0.799 0.770 0.780 0.826 0.829 0.818 0.824
S T 0.797 0.797 0.758 0.766 0.829 0.831 0.825 0.828
S T * 0.798 0.797 0.766 0.782 0.829 0.830 0.825 0.828
  1. The accuracy of each base-learner trained with original data and with extra features added in SO/SO*, TO/TO* or ST/ST*. The values reported for each classifier and regressor are respectively the validation and test accuracies of the original representation and the new representation.