Table 5.

Evaluation of Feature Model 2 using linear regression, random forest, and AdaBoost.

Evaluation measure	Linear regressiona	Random foresta	AdaBoosta
R2	0.763	0.722	0.679
MAEb	0.070	0.070	0.090
MSEc	0.011	0.013	0.015
RMSEd	0.107	0.114	0.124
Max error	0.265	0.308	0.300

^aAll results were evaluated using k-fold cross-validation (k=10).

^bMAE: mean absolute error.

^cMSE: mean squared error.

^dRMSE: root mean squared error.