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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