Tree-based Machine Learning Models with Applications in Insurance Frequency Modelling
As the insurance industry is highly data driven it is no surprise that machine learning (ML) has made its way into the industry. While GLMs are still the comfort zone of most actuaries, we have in recent years seen a surge in machine learning algorithms. This study puts focus on developing and evalu...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för teknikvetenskap (SCI)
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-276233 |