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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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BMC Structural Biology

ISSN: 1472-6807

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