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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
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