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Table 2 Summary of the modeling performance measures derived from the three RF training models

From: Machine learning and geostatistical approaches for estimating aboveground biomass in Chinese subtropical forests

Year Variables used for model prediction RMSE (t∙ha− 1) RMSE
(%)
Bias
(t∙ha−1)
Bias
(%)
MAE (t∙ha−1) R2
1992 TM7_1, second77, B2, SAVI, TM14, TM17, B5, TM37, VRI, B7 9.05 71.57 −0.01 −0.05 4.04 0.86
2002 mean55, RSI, mean77, TM37, VRI, TM12, TM27, TCD, elevation, TM34 43.68 64.34 0.35 2.29 16.68 0.90
2010 mean77, B1, TM34, HH_HV, TM2_1, TM25, ARVI, B2, RFDI, EVI 37.51 56.21 1.09 1.02 13.88 0.95