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Table 23 ANOVA for classifier, RUS, hyperparameters and FST as factors of performance in terms of AUPRC

From: IoT information theft prediction using ensemble feature selection

 

Df

Sum Sq

Mean Sq

F value

Pr(>F)

Classifier

7

891.99

127.43

7741.19

0.0000

RUS

3

67.63

22.54

1369.58

0.0000

Hyperparameters

1

0.99

0.99

60.31

0.0000

FST

4

4.94

1.24

75.07

0.0000

Residuals

15984

263.11

0.02

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