Fig. 16
From: A machine learning approach for mapping the very shallow theoretical geothermal potential
Thermal diffusivity map as estimated in the study with visualization of PIs (with 95% confidence) both in the test set and for new points. a Thermal diffusivity (\(\alpha\)) map; b PIs in the test set for the label variable used (\(\log (\alpha \times C)\)) while training the RF model, with soil texture features considered; c PIs for 30 random unknown points for the same label variable, with soil texture features considered; d PIs in the test set for the label variable used (\(\log (\alpha \times C)\)) while training the RF model, without soil texture features; e PIs for 30 random unknown points for the same label variable, without soil texture features