Fig. 9 | Scientific Reports

Fig. 9

From: Optimizing imbalanced learning with genetic algorithm

Fig. 9

Resultant Images of all three datasets with 100% data sampling where (a) represents the PR-Curve for the Credit Card Fraud Detection dataset, (b) represents the ROC-AUC for the Credit Card Fraud Detection dataset, (c) represents the PR-Curve for the PIMA dataset, (d) represents the ROC-AUC for the PIMA dataset, (e) represents the PR-Curve for the Phoneme dataset, and (f) represents the ROC-AUC for the Phoneme dataset.

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