Table 4

Models’ performance metrics on the validation data set

RMSEMAE
Decision tree0.1830.149
Gradient boosting machine0.1810.147
Linear regression0.1810.147
Linear ensemble*0.1810.147
Random forest ensemble*0.1880.152
  • *Ensemble of three models: decision tree, gradient boosting machine and linear regression.

  • MAE, mean absolute error; RMSE, root mean squared error.