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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).