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Improving the accuracy of freight mode choice models: A case study using the 2017 CFS PUF data set and ensemble learning techniques.

Diyi LiuHyeonsup LimMajbah UddinYuandong LiuLee D. HanHo-Ling HwangShih-Miao Chin
Published in: CoRR (2024)
Keyphrases
  • ensemble learning
  • data sets
  • generalization ability
  • multiple models
  • ensemble methods
  • model selection
  • classification models
  • base classifiers
  • semi supervised
  • error rate
  • prediction accuracy