Science – Society – Technology
Table 2 Testing RMSE (\(E_{\text {R}}\)) and NRMSE (\(E_{\text {NR}}\), in percentage) for Random Forest models trained for monthly ground soil moisture (Volumetric Water Contents)
From: A machine learning approach for mapping the very shallow theoretical geothermal potential
Month | Soil moisture | ||
|---|---|---|---|
ER (cm3/cm3) | ENR (%) | OOB (−) | |
Jan. | 0.08 | 19.61 | 0.82 |
Feb. | 0.08 | 20.82 | 0.82 |
Mar. | 0.07 | 22.75 | 0.85 |
Oct. | 0.07 | 26.65 | 0.87 |
Nov. | 0.07 | 23.88 | 0.87 |
Dec. | 0.07 | 19.78 | 0.84 |