The Tweedie GLM is a widely used method for predicting insurance premiums. However, the structure of the logarithmic mean is restricted to a linear form in the Tweedie GLM, which can be too rigid for ...

For the study, researchers investigated the application of two machine-learning algorithms: gradient tree boosting and LSTM-based deep learning.

The study tested four machine learning algorithms to analyze the data: Gradient tree boosting, random forest, classification and regression trees, or CART, and support vector machine.

Gradient tree boosting uses a small sample of features to measure similarities between potential answers and any given mention. It can readily work with features with different scales coming from ...

Although the gradient-boosting model performed slightly better, we focused on the random forest model here because of its comparative simplicity, interpretability, robustness, and well-characterized ...