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Are there any techniques for improving logloss? - AlekseyPython - Mar-20-2021
I use logloss as a quality criterion, but it has a number of disadvantages:
1. Has infinite errors with confident misclassification.
2. Has a slight gradient in the "border" zone, where recognition is especially important.
Are there any modifications to this feature to improve the performance of machine learning algorithms?