Enhancing Logistic Regression Using Neural Networks for Classification in Actuarial Learning

We developed a methodology for the neural network boosting of logistic regression aimed at learning an additional model structure from the data. In particular, we constructed two classes of neural network-based models: shallow–dense neural networks with one hidden layer and deep neural networks with...

Full description

Bibliographic Details
Main Authors: George Tzougas, Konstantin Kutzkov
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Algorithms
Subjects:
Online Access:https://www.mdpi.com/1999-4893/16/2/99