Table 1.

Comparison of regression models using 5-fold cross-validation.

Method	RMSE
Linear regression	0.23
Robust linear regression	0.24
Fine tree	0.05
Medium tree	0.06
Coarse tree	0.08
SVM with linear kernel	0.24
SVM with quadratic kernel	0.14
SVM with cubic kernel	0.7
SVM with fine Gaussian kernel	0.14
SVM with medium Gaussian kernel	0.8
SVM with coarse Gaussian kernel	0.21
Boosted tree based ensemble	0.16
Bagged tree based ensemble	0.03