Fig. 11From: A machine learning approach for mapping the very shallow theoretical geothermal potentialElectrical resistivity map as estimated in the study with visualization of PIs (with 95% confidence) both in the test set and for new points. a Electrical resistivity (\(\rho\)) map; b PIs in the test set for the label variable used (\(\log (5 + \frac{\rho }{C})\) and not \(\rho\)) while training the RF model; c PIs for 30 random unknown points for the same label variableBack to article page