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Table 1 Average RMSE (%) for baseline and weighted fitting method.

From: Predicting sample size required for classification performance

  Average RMSE (%)  
  Weighted [min-max] Baseline [min-max] P
D1-DIV 1.52 [0.04 - 8.44] 2.57 [0.82 - 8.70] 2.7E-44
D1-CMB 0.60 [0.06 - 4.61] 1.15 [0.44 - 4.94] 2.7E-32
D1-DIS 0.61 [0.09 - 5.25] 1.16 [0.22 - 5.50] 1.9E-22
D1-RND 1.15 [0.10 - 11.37] 2.01 [0.38 - 11.29] 8.2E-19
D2-DIV 1.33 [0.28-3.95] 1.63 [0.73-3.53] 4.6E-09
D2-CMB 0.29 [0.01-0.67] 0.38 [0.19-0.76] 3.3E-04
D2-DIST 0.39 [0.04-1.74] 0.50 [0.22-2.11] 2.7E-03
D2-RND 0.46 [0.13 - 4.99] 0.56 [0.16 - 4.44] 6.1E-04
D3-DIV 0.34 [0.05 - 1.22] 0.43 [0.04 - 0.93] 4.6E-02
D3-CMB 0.47 [0.09 - 1.66] 0.65 [0.21 - 1.60] 6.0E-09
D3-DIS 0.38 [0.10 - 1.24] 0.49 [0.20 - 1.21] 5.1E-10
D3-RND 0.32 [0.15 - 1.48] 0.32 [0.11 - 1.75] 6.3E-01
  1. Paired Student's t-test conducted on the values of RMSE found the weighted fitting method statistically better than the baseline method (p < 0.05).