Skip to main content

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
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