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Table 2 Tests of the random forests predictive accuracy using the held-out, or out-of-bag, data from the sub-sampling procedure in each iteration

From: Predicting the spatial variation in cost-efficiency for agricultural greenhouse gas mitigation programs in the U.S.

 

Estimate

Std. Error

t-value

Pr(> t)

Tillage reduction

 Mean forest prediction

1.01

0.06

15.91

 < 0.001

 Differential forest prediction

1.17

0.09

13.15

 < 0.001

Cover-cropping

 Mean forest prediction

1.01

0.04

25.37

 < 0.001

 Differential forest prediction

1.13

0.04

26.44

 < 0.001