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]