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Table 1 GSEQ dataset 3-fold cross-validation.

From: Combining sequence-based prediction methods and circular dichroism and infrared spectroscopic data to improve protein secondary structure determinations

Performance measure α-helix (H) β-Sheet (E) Other (G, I, T, B, S, C)
Q2 (%) 89.7 89.2 81.7
Corr 0.770 0.676 0.631
r 0.939 0.901 0.791
abs 0.047 0.047 0.059
δ 0.073 0.069 0.083
  1. Performance parameters from the 3-fold cross-validation of the GSEQ dataset using the neural network sequence-based prediction.