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Table 7 Mean prediction bias, root mean squared error (RMSE) in estimating inside bark cubic volume using different models. Statistics were obtained by using leave-one-out cross validation method i.e. bias and RMSE for dataset I were obtained by applying the models fitted using datasets II and III

From: Estimating upper stem diameters and volume of Douglas-fir and Western hemlock trees in the Pacific northwest

Model Dataset Douglas-fir Western hemlock
Bias (cm) Bias percent RMSE (cm) RMSE percent Bias (cm) Bias percent RMSE (cm) RMSE percent
M1 I 0.22 12.56 0.35 20.36 −0.06 −4.29 0.58 42.51
II 0.02 11.03 0.04 20.51     
III −0.16 −6.09 0.85 31.55 0.34 15.98 0.45 21.19
M2 I 0.13 7.21 0.31 17.77 −0.16 −11.63 0.35 25.99
II −0.01 −5.01 0.03 16.27     
III −0.06 −2.07 0.36 13.52 0.23 10.80 0.42 19.67
M3 I −0.04 −2.31 0.29 16.79 −0.17 −12.26 0.43 31.66
II −0.02 −9.20 0.04 18.82     
III −0.15 −5.51 0.43 15.96 0.23 10.70 0.42 19.75
M4 I 0.05 2.75 0.24 13.95 −0.18 −13.16 0.46 33.65
II −0.01 −4.28 0.03 14.64     
III −0.13 −4.89 0.47 17.52 0.22 10.40 0.40 18.83
M5 I 0.07 4.24 0.29 16.45 −0.13 −9.41 0.61 45.14
II 0.00 −2.07 0.03 15.94     
III −0.44 −16.13 1.18 43.91 0.16 7.41 0.28 13.33