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Table 2 Performance comparison between different features organization on the BT426 dataset.

From: Predicting beta-turns in proteins using support vector machines with fractional polynomials

Features organization

Qtotal

Qpredicted

Qobserved

MCC

A sliding window on PSSMs only

81.03

63.98

57.40

0.48

A sliding window on both PSSMs and PSS

82.87

64.83

70.66

0.56