Table 2 Mapping performance for the depth to bedrock.

From: Depth-to-bedrock map of China at a spatial resolution of 100 meters

Model

R2

RMSE

ME

RE

Random forests

0.538

49.86

2.12

0.06

Gradient boosting tree

0.537

49.84

0.76

0.02

Ensemble

0.547

49.33

0.68

0.02

Quantile regression forests

0.519

51.15

11.77

0.33

  1. R2 is the coefficient of determination, root mean square error (RMSE), ME is mean error, and RE is relative error.
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