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Table 35 ANOVA for Features and Classifier as factors of performance in terms of AUPRC, for Part B Scenario Two

From: Data reduction techniques for highly imbalanced medicare Big Data

 

Df

Sum Sq

Mean Sq

F value

Pr(>F)

Features

5

0.24

0.05

13.16

*

Classifier

5

130.10

26.02

7242.04

*

Residuals

1789

6.43

0.00

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