# Cost-Sensitive Learning and Focal Loss: Training the Loss Function for Imbalanced Data

> Source: https://sukruyusufkaya.com/en/learn/anomali-tespiti/cost-sensitive-learning-focal-loss
> Updated: 2026-05-13T13:04:49.268Z
> Category: Anomali Tespiti
> Module: Module 3: Data Preparation, Imbalanced Data and Labeling
**TLDR:** Alternative to sampling: modifying the loss function. Cost matrix, class weight, sample weight, asymmetric loss, focal loss (Lin et al., 2017), Tversky loss, and practical applications in imbalanced AD.