Journal of Big Data

Table 4 Evaluation results using AUC, accuracy, F1-score, precision, recall, and AUC-PR for outlier removal’s + imputation

From: Normalization and outlier removal in class center-based firefly algorithm for missing value imputation

Imputation method	Performance evaluation
Imputation method	AUC	CA	F1-score	Precision	Recall	AUC-PR
O + Mean	0.893	0.826	0.823	0.829	0.826	0.68
O + Rand	0.904	0.826	0.825	0.825	0.826	0.72
O + Reg	0.921	0.865	0.865	0.866	0.865	0.68
O + MI	0.909	0.86	0.859	0.859	0.86	0.72
O + KNN	0.915	0.854	0.853	0.853	0.854	0.7
O + DT	0.937	0.879	0.878	0.879	0.879	0.71
O + C3FA	0.922	0.83	0.828	0.833	0.83	0.69

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