ROC Curves, Loss Functions, and Distorted Probabilities in Binary Classification

ROC Curves, Loss Functions, and Distorted Probabilities in Binary Classification

The main purpose of this work is to study how loss functions in machine learning influence the “binary machines”, i.e., probabilistic AI models for predicting binary classification problems. In particular, we show the following results: (i) Different measures of accuracy such as area under the curve...

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Bibliographic Details
Main Authors: Phuong Bich Le, Zung Tien Nguyen
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Mathematics
Subjects:
optimization
binary classification
machine learning
ROC curve
accuracy metrics
loss function
Online Access:https://www.mdpi.com/2227-7390/10/9/1410

Internet

https://www.mdpi.com/2227-7390/10/9/1410

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