A feature learning approach based on XGBoost for driving assessment and risk prediction

Keyphrases

• Feature Learning 100%
• Driving Assessment 100%
• XGBoost 100%
• Rating Data 16%
• Next Generation Simulation (NGSIM) 16%
• Unsupervised Data 16%
• Class Imbalance 16%
• Data Labeling 16%
• Vehicle Driving 16%
• Feature Select 16%
• Risk Rating 16%
• Feature Importance Score 16%
• Recursive Reduction 16%
• Data Resampling 16%

Computer Science

• Extreme Gradient Boosting 100%
• Imbalanced Data 33%
• Unsupervised Data 33%
• Class Imbalance 33%

Engineering

• Risk Rating 16%