Table 3.

Traffic engineering

Title	A Semi-Supervised Tri-CatBoost method for driving style recognition
Description	Combine labeled and unlabeled data, use CatBoost as a base classifier to identify driving style
Performance metric	N/A CatBoost used for semi-supervised learning not compared to other classifiers
Winner	N/A
Reference	[36]
Title	Reconstructing commuters network using machine learning and urban indicators.
Description	Construct graph on human movement between cities, extract features, apply CatBoost among other algorithms to reconstruct graph
Performance metric	Accuracy
Winner	CatBoost wins but training time is long compared to XGBoost, so authors use XGBoost for remainder of study
Reference	[7]