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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

MonthSoil moisture
ER (cm3/cm3)ENR (%)OOB
(−)
Jan.0.0819.610.82
Feb.0.0820.820.82
Mar.0.0722.750.85
Oct.0.0726.650.87
Nov.0.0723.880.87
Dec.0.0719.780.84