Figure 9.
The ROC plot comparing the performance of trained CNN models under the Applied1 scenario in distinguishing between lensed and non-lensed samples. In this scenario, both the lensed and non-lensed populations have been altered compared to the Vanilla setting. The ensemble of EfficientNet-B3, EfficientNet-B4, and DenseNet-121 achieves a TP rate of 0.9112 with a FP rate of $4.16 \times 10^{-4}$. The achieved TP rate surpasses that of both the Vanilla and Applied1 settings.

The ROC plot comparing the performance of trained CNN models under the Applied1 scenario in distinguishing between lensed and non-lensed samples. In this scenario, both the lensed and non-lensed populations have been altered compared to the Vanilla setting. The ensemble of EfficientNet-B3, EfficientNet-B4, and DenseNet-121 achieves a TP rate of 0.9112 with a FP rate of |$4.16 \times 10^{-4}$|⁠. The achieved TP rate surpasses that of both the Vanilla and Applied1 settings.

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