Journal of Big Data

Table 16 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	9	0.21	0.02	10.43	^a
Classifier	5	9.38	1.88	833.75	^a
Residuals	2985	6.71	0.00

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

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