Journal of Big Data

Table 13 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	9	2.97	0.33	47.15	^a
Classifier	5	71.64	14.33	2050.15	^a
Residuals	2985	20.86	0.01

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

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