What type of study is this?

This is a Quantitative Study study.

Advanced Strategies for Predicting and Managing Auto Insurance Claims using Machine Learning Models

View Full Paper

Ask AI

Bookmark

Authors

This research demonstrates improved claims accuracy using machine learning methods in auto insurance, indicating better management.

The SVR algorithm achieves superior precision in predicting auto insurance claims compared to other models.
Using statistical metrics like Mean Squared Error, the study assesses the performance of machine learning algorithms.
The analysis involves multiple models including SVR, XGBoost, and MLP to achieve effective claims management.
Understanding these models may help insurers manage claims losses more effectively and improve customer service.

Bekkaye et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark

View Full Paper

Ask AI

Bookmark

Authors

This research demonstrates improved claims accuracy using machine learning methods in auto insurance, indicating better management.

The SVR algorithm achieves superior precision in predicting auto insurance claims compared to other models.
Using statistical metrics like Mean Squared Error, the study assesses the performance of machine learning algorithms.
The analysis involves multiple models including SVR, XGBoost, and MLP to achieve effective claims management.
Understanding these models may help insurers manage claims losses more effectively and improve customer service.

Bekkaye et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark