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Table 5 Recognition accuracy (in percentage) for 10-fold cross validation procedure using different classifiers on k -AAP.

From: Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information

Classifiers DD TG EDD
Naïve Bayes 62.3 48.5 58.2
SVM (SMO with linear polynomial of degree P = 1) 75.4 76.1 88.8
SVM (SMO with P = 3) 69.1 69.2 86.2
Random Forest (10 base learners) 62.9 52.1 73.0
Adaboost.M1 (10 base learners) 68.1 59.3 79.2
kNN (for k = 1) 70.8 65.6 84.3
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