Table 4.

Evaluation of Feature Model 1 using linear regression, random forest, and AdaBoost.

Evaluation measure	Linear regressiona	Random foresta	AdaBoosta
R2	0.693	0.481	0.454
MAEb	0.079	0.096	0.104
MSEc	0.014	0.021	0.020
RMSEd	0.117	0.143	0.142
Max error	0.315	0.359	0.355

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

^bMAE: mean absolute error.

^cMSE: mean squared error.

^dRMSE: root mean squared error.