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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).