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Table 2 Summary statistics of final tuned models in the test set (20% of the data). R2 (R squared), and root mean square error (RMSE)

From: Proposal of a new equation for estimating resting energy expenditure of acute kidney injury patients on dialysis: a machine learning approach

Models R2 RMSE
Linear model with stepwise 0.28 569.24
Regularized linear model 0.26 578.44
SVM 0.38 530.05
Random forest 0.48 490.05
R part 0.36 566.61
GBM 0.36 535.88
XGBoost 0.45 499.75