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Table 5 Training/estimation time required for one iteration of the machine learning algorithms

From: Improving the estimation of alpine grassland fractional vegetation cover using optimized algorithms and multi-dimensional features

 

R2

RMSE (%)

Training time

Estimation time

MLR

0.833

11.8

140.58 s

163.76 s

BPNNs

0.852

10.5

128.48 s

143.45 s

SVR

0.870

9.8

168.84 s

182.82 s

RF

0.917

7.9

87.51 s

99.35 s