University of Twente Student Theses
The Capability of Machine Learning for Predicting Disability Probabilities based on Long-term Absenteeism
Motamedi Nia, Sandra (2021) The Capability of Machine Learning for Predicting Disability Probabilities based on Long-term Absenteeism.
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| Abstract: | The main purpose of insurance companies is to offer protection against financial losses in exchange for a predetermined premium which is set before the future costst are exposed. For the determination of the premium, the claim probability needs to be predicted as accurate as possible. In this research we demonstrate by using experiments that machine learning can make accurate predictions for claim occurance in the disability insurance industry using long-term absenteeism data. |
| Item Type: | Essay (Master) |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 30 exact sciences in general, 31 mathematics, 54 computer science |
| Programme: | Industrial Engineering and Management MSc (60029) |
| Link to this item: | https://purl.utwente.nl/essays/86663 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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