Journal of Big Data

Table 5 Evaluation results using AUC, accuracy, F1-score, precision, recall, and AUC-PR for outlier removal’s + 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
ON + Mean	0.947	0.843	0.843	0.843	0.843	0.66
ON + Rand	0.921	0.831	0.831	0.831	0.831	0.66
ON + Reg	0.955	0.883	0.882	0.884	0.883	0.67
ON + MI	0.942	0.877	0.876	0.878	0.877	0.66
ON + KNN	0.949	0.877	0.877	0.877	0.877	0.67
ON + DT	0.955	0.867	0.866	0.867	0.867	0.55
ON + C3FA	0.972	0.906	0.906	0.908	0.906	0.61

Back to article page