Binary Cross-Entropy vs Mean Squared Error

In this post I’m trying better understand Cross-Entropy loss and why it is better than Mean-Squared Error.

On the plot below you can see, that, Mean Squared Error may provide just inadequate and, sometimes, unoptimisable values on low amount of noised data.

TODO: non-noised data, big amount of data, non-linearly separable data.