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 ...

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.

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

Gradient-boosting trees. Gradient boosting is an ensemble machine learning model to form robust predictions on the basis of the integrated predictions of multiple simpler trees. 22 Although each tree ...

Gradient tree boosting (GTB), 28 random forests, 29 and support vector machine (SVM) 30 were trained on the training set and evaluated on the testing cohort by the area under the receiver operating ...