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Performance of CelebA constrained model #260

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bytosaur opened this issue Jun 14, 2021 · 0 comments

bytosaur commented Jun 14, 2021

Have I written custom code (as opposed to using stock example code provided): No
OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Google Colab
Fairness Indicators version: 0.30.1
TensorFlow version: 2.5.0
Python version: 3.7.10
TFMA version: 0.30.0

Hey there,

I have noticed that the constrained model in the CelebA example Notebook has a horrible positive rate: 0.1 @ 0.5 threshold.

I expected that the model would perform at least equally good on this metric.

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