Skip to main content

Table 4 Evaluation results using AUC, accuracy, F1-score, precision, recall, and AUC-PR for outlier removal’s  +  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
O  +  Mean 0.893 0.826 0.823 0.829 0.826 0.68
O  +  Rand 0.904 0.826 0.825 0.825 0.826 0.72
O  +  Reg 0.921 0.865 0.865 0.866 0.865 0.68
O  +  MI 0.909 0.86 0.859 0.859 0.86 0.72
O  +  KNN 0.915 0.854 0.853 0.853 0.854 0.7
O  +  DT 0.937 0.879 0.878 0.879 0.879 0.71
O  +  C3FA 0.922 0.83 0.828 0.833 0.83 0.69