Journal of Big Data

Table 3 Evaluation results using AUC, accuracy, F1-score, precision, recall, and AUC-PR for normalization + 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
N + Mean	0.922	0.837	0.835	0.841	0.837	0.68
N + Rand	0.906	0.803	0.802	0.805	0.803	0.66
N + Reg	0.926	0.812	0.811	0.815	0.812	0.68
N + MI	0.923	0.832	0.831	0.832	0.832	0.69
N + KNN	0.929	0.822	0.821	0.822	0.832	0.65
N + DT	0.926	0.822	0.821	0.826	0.822	0.66
N + C3FA	0.97	0.909	0.909	0.909	0.909	0.66

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