Table 7.

Optimal MAE and median percent error values for the cross-validation method. Validation error is equivalent to test error for cross-validation.

Model	Train MAEa	Validation MAE	Validation percent error
Ridge regression	0.262	0.275	0.62
Decision tree regression	0.181	0.207	0.28
Random forest regression	0.073	0.175	0.40
AdaBoostb regressionc	0.164	0.167	0.27
Support vector regression	0.230	0.240	0.03

^aMAE: mean absolute error.

^bAdaBoost: adaptive boosting.

^cThe model with the lowest test MAE.