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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.