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Table 22 ANOVA for Features and Classifier as factors of performance in terms of AUPRC, for part D scenario three

From: Data reduction techniques for highly imbalanced medicare Big Data

 

Df

Sum Sq

Mean Sq

F value

Pr(>F)

Features

5

2.17

0.43

178.58

*

Classifier

5

72.01

14.40

5933.71

*

Residuals

1789

4.34

0.00

  
  1. * indicates the value is less than \(1\times 10^{-4}\)