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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