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Table 2 Regression algorithms comparison for \(\theta _{TM}\), one-step regression

From: Regressing grasping using force myography: an exploratory study

  \(R^2\) \(RMSE\%\) Training time (min) Estimated prediction time (ms) for each sample point
LR 0.8734 ± 0.05 8.98 ± 1.27 0.008 ± 0.01 0.0006
SVR 0.9415 ± 0.02 6.12 ± 0.83 2.35 ± 0.45 0.585
NNR 0.9110 ± 0.03 7.53 ± 0.97 32.00 ± 3.38 2.449
RF 0.9411 ± 0.02 6.13 ± 0.84 0.95 ± 0.08 0.076