Skip to main content

Table 22 ANOVA for Features and Classifier as factors of performance in terms of AUC

From: Explainable machine learning models for Medicare fraud detection

 

Df

Sum Sq

Mean Sq

F value

Pr(>F)

Features

5

0.13

0.03

23.51

a

Classifier

5

5.99

1.20

1111.70

a

Residuals

1789

1.93

0.00

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