Skip to main content

Table 2 Performance comparison of regression models

From: G4Boost: a machine learning-based tool for quadruplex identification and stability prediction

 

Variance

R2

RMSE

Absolute error

Average

SD

Average

SD

Average

SD

Average

SD

XGBoost

0.937

0.019

0.937

0.019

4.449

0.132

2.751

0.236

NeuralNet

0.933

0.021

0.933

0.021

4.567

0.222

2.931

0.232

GBoost

0.915

0.024

0.915

0.024

5.170

0.186

3.321

0.261

  1. Five-fold cross-validation performance metrics of three regression models for the prediction of G4 structure folding energy are shown. Average is devoted to average score and std is to standard deviation for the five-fold cross-validation sets
Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us