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Table 2 Prediction performance of the weight-learning methods

From: Improved estimation of structure predictor quality

 

CD6

CD7

Method

CC

RMSE

CC

RMSE

Support Vector Regression

0.68

10.35

0.80

6.41

Linear Perceptron

0.69

9.74

0.80

6.46

Standard Regression

0.70

9.32

0.80

6.28

Constrained Regression

0.70

9.20

0.81

6.19

  1. Values in this table represent the Pearson correlation coefficient (CC) and root mean squared error (RMSE) between the predicted and true per-residue distances. Boldfaced entries correspond to the best performing scheme for each dataset and performance assessment metric.
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BMC Structural Biology

ISSN: 1472-6807

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