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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
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