My model is too confident. How to fix it?
I've got a classification model trained on ~50k examples, but when I take a look at the test results, it is too confident. Almost every prediction gives 99% confidence. It doesn't even matter prediction is true or false. Regularization techniques didn't help. How can I fix this? I can't find a threshold for my production usage.