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Table 7 Univariate ANOVAs

From: A framework to improve churn prediction performance in retail banking

Metric

Stage

df

Sum Sq

Mean Sq

F value

Pr(> F)

PR-AUC

FE

1

7.4743

7.4743

2678.21

0.0000

IDT-Over

1

1.3519

1.3519

484.40

0.0000

IDT-Under

1

0.4983

0.4983

178.53

0.0000

Classification Model

1

4.6317

4.6317

1659.63

0.0000

Residuals

1595

4.4513

0.0028

  

Accuracy

FE

1

10.3780

10.3780

4037.89

0.0000

IDT-Over

1

0.9675

0.9675

376.43

0.0000

IDT-Under

1

0.7384

0.7384

287.30

0.0000

Classification Model

1

3.4610

3.4610

1346.59

0.0000

Residuals

1595

4.0994

0.0026

  

Recall

FE

1

9.2224

9.2224

4260.11

0.0000

IDT-Over

1

1.2777

1.2777

590.20

0.0000

IDT-Under

1

0.2430

0.2430

112.24

0.0000

Classification Model

1

4.4635

4.4635

2061.84

0.00000

Residuals

1595

3.4529

0.0022

  

Specificity

FE

1

10.58

10.5839

4627.61

0.0000

IDT-Over

1

0.8925

0.8925

390.21

0.0000

IDT-Under

1

0.7320

0.7320

320.05

0.0000

Classification Model

1

3.4350

3.4350

1501.89

0.0000

Residuals

1595

3.6480

0.0023