Deal With an Imbalanced Dataset With TensorFlow, LightGBM, and CatBoost

Add new instruments to your toolbox when customizing your models

You have an imbalanced dataset; you want to reduce the count of false negatives (FN) or even false positives (FP). Maybe you like custom things and want to practice adding changes to standard models. If so, this article is for you.

One way is to customize your model’s loss function with a particular coefficient. This article aims to show customization approaches in TensorFlow, …

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