Fig. 13
From: A machine learning approach for mapping the very shallow theoretical geothermal potential
Thermal conductivity map as estimated in the study with visualization of PIs (with 95% confidence) both in the test set and for new points. a Thermal conductivity (\(\lambda\)) map; b PIs in the test set for the label variable used (\(\log (\rho _{t})\) where \(\rho _{t}\) is the thermal resistivity) while training the RF model; c PIs for 30 random unknown points for the same label variable