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Table 6 Accuracy of the RF, RFOK, and RFCK models based on the validation data

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

Year Models R2 MAE (t∙ha−1) RMSE (t∙ha−1) RMSE (%) Bias (t∙ha−1) Bias (%) RI
1992 RF 0.41 9.93 18.99 112.47 −3.82 −22.59 /
RFOK 0.81 6.64 15.64 92.61 −1.77 −10.48 0.176
RFCK 0.81 6.54 15.62 92.48 −1.80 −10.68 0.177
2002 RF 0.35 34.81 56.67 97.19 −3.31 −5.67 /
RFOK 0.40 33.57 53.81 92.29 −3.19 −5.47 0.050
RFCK 0.41 32.32 53.78 92.24 −2.14 −3.67 0.052
2010 RF 0.49 24.56 31.21 52.08 2.09 −3.89 /
RFOK 0.53 23.47 30.23 52.05 2.26 −3.59 0.031
RFCK 0.55 22.14 29.97 51.60 1.07 −1.85 0.038