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Table 6 Early integration results for S1615 data set.

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

  k-NN DT SVM
  cv test cv test cv test
S O 0.814 0.778 0.752 0.703 0.838 0.904
S O * 0.812 0.781 0.766 0.702 0.839 0.904
T O 0.812 0.819 0.770 0.739 0.822 0.905
T O * 0.817 0.844 0.788 0.756 0.825 0.909
S T 0.814 0.777 0.771 0.734 0.838 0.904
S T * 0.817 0.775 0.800 0.729 0.842 0.904
  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 are respectively the validation and test accuracies of the original representation and the new representation.
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