---
title: Neural Networks for Insurance Pricing with Frequency and Severity Data: A Benchmark Study from Data Preprocessing to Technical Tariff
url: https://www.ml-quant.com/papers/doi/10-1080-10920277-2025-2451860/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: doi:10.1080/10920277.2025.2451860
source_url: http://dx.doi.org/10.1080/10920277.2025.2451860
featured: 2025-01-23
citations: 16
topic: Risk, Credit & Banking
---


# Neural Networks for Insurance Pricing with Frequency and Severity Data: A Benchmark Study from Data Preprocessing to Technical Tariff

The article discusses the application of deep learning in insurance pricing, comparing different models and offering a method to interpret neural network insights through generalized linear models.

- Source: http://dx.doi.org/10.1080/10920277.2025.2451860
- Identifier: doi:10.1080/10920277.2025.2451860
- Released: 2023-10-19
- First featured: Quant Letter No. 83 (2025-01-23): https://www.ml-quant.com/issues/2025-01-23/
- Citations (Semantic Scholar): 16
- Published in: North American Actuarial Journal
- Topic: Risk, Credit & Banking

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