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Table 3 Results of the evaluation criteria applied on the different ML algorithms adopted for the training phase

From: Application of machine learning techniques to simulate the evaporative fraction and its relationship with environmental variables in corn crops

Prediction model

 

RMSE

R2

MSE

MAE

  

Training phase

Linear regression

Linear

0.109

0.40

0.012

0.086

Interaction linear

0.101

0.48

0.010

0.076

Robust linear

0.110

0.39

0.012

0.086

Stepwise linear regression

0.098

0.52

0.009

0.074

Regression tree

Fine Tree

0.103

0.48

0.010

0.077

Medium Tree

0.111

0.39

0.012

0.084

Coarse Tree

0.113

0.37

0.012

0.088

Support vector machine (SVM)

Linear SVM

0.111

0.38

0.012

0.085

Quadratic SVM

0.088

0.61

0.007

0.065

Fine Gaussian SVM

0.113

0.35

0.012

0.086

Coarse Gaussian SVM

0.104

0.45

0.011

0.081

Ensemble of Trees

Boosted Trees

0.085

0.64

0.007

0.063

Bagged Trees

0.107

0.43

0.011

0.086