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Table 4 Parameter used to select the best model to predict biomass as a function of the EVI

From: A technical and socioeconomic approach to estimate forest residues as a feedstock for bioenergy in northern Mexico

Parameter

Linear regression

Random Forest

Boosting machine

Average (t∙ha−1)

8.336

8.3298

8.1521

Standard deviation

2.182

2.814

2.113

R 2

0.226

0.231

0.285

Root mean square error

3.602

3.872

4.03