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Boosting insights in insurance tariff plans with tree-based machine
  learning methods

Boosting insights in insurance tariff plans with tree-based machine learning methods

12 April 2019
Roel Henckaerts
Marie-Pier Côté
Katrien Antonio
Roel Verbelen
ArXivPDFHTML

Papers citing "Boosting insights in insurance tariff plans with tree-based machine learning methods"

5 / 5 papers shown
Title
Neural networks for insurance pricing with frequency and severity data: a benchmark study from data preprocessing to technical tariff
Neural networks for insurance pricing with frequency and severity data: a benchmark study from data preprocessing to technical tariff
Freek Holvoet
Katrien Antonio
Roel Henckaerts
107
3
0
20 Jan 2025
Why You Should Not Trust Interpretations in Machine Learning:
  Adversarial Attacks on Partial Dependence Plots
Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots
Xi Xin
Giles Hooker
Fei Huang
AAML
46
7
0
29 Apr 2024
Conformal prediction for frequency-severity modeling
Conformal prediction for frequency-severity modeling
Helton Graziadei
Paulo C. Marques
E. Melo
Rodrigo S. Targino
23
0
0
24 Jul 2023
Machine Learning with High-Cardinality Categorical Features in Actuarial
  Applications
Machine Learning with High-Cardinality Categorical Features in Actuarial Applications
Benjamin Avanzi
G. Taylor
Melantha Wang
Bernard Wong
22
12
0
30 Jan 2023
When stakes are high: balancing accuracy and transparency with
  Model-Agnostic Interpretable Data-driven suRRogates
When stakes are high: balancing accuracy and transparency with Model-Agnostic Interpretable Data-driven suRRogates
Roel Henckaerts
Katrien Antonio
Marie-Pier Côté
23
3
0
14 Jul 2020
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