XGBoost (eXtreme Gradient Boosting), also not a deep neural network, is a scalable, end-to-end tree boosting system that has produced state-of-the-art results on many machine learning challenges.

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-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 ...

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

Gradient tree boosting uses a small sample of features to measure similarities between potential answers and any given mention.

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 ...