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Table 19 ANOVA for Features and Classifier as factors of performance in terms of AUPRC

From: Explainable machine learning models for Medicare fraud detection

 

Df

Sum Sq

Mean Sq

F value

Pr(>F)

Features

5

0.24

0.05

13.16

a

Classifier

5

130.10

26.02

7242.04

a

Residuals

1789

6.43

0.00

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