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Table 1 Performance comparison between the predictions performed using the three sets of features that were generated using the hybrid, the filter-based, and the wrapper-based feature selection methods

From: Prediction of beta-turns at over 80% accuracy based on an ensemble of predicted secondary structures and multiple alignments

Feature selection method

Qtotal

Qpredicted

Qobserved

MCC

Hybrid method (90 features)

80.9

62.7

55.6

0.47

Filter-based (54 features)

80.7

64.1

49.5

0.44

Wrapper-based (39 features)

79.6

60.2

51.0

0.42

  1. The tests are based on 7 fold cross validation on the BT426 dataset