Journal of Big Data

Table 2 Evaluation results using AUC, accuracy, F1-score, precision, recall, and AUC-PR for 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
Mean	0.884	0.793	0.791	0.798	0.793	0.69
Rand	0.868	0.764	0.762	0.767	0.764	0.71
Reg	0.908	0.798	0.797	0.801	0.798	0.7
MI	0.899	0.798	0.797	0.801	0.798	0.7
KNN	0.894	0.808	0.807	0.808	0.808	0.67
DT	0.914	0.822	0.821	0.825	0.822	0.7
C3FA	0.927	0.861	0.86	0.862	0.861	0.67

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