An Interpretable Machine Learning Framework to Understand Bikeshare Demand before and during the COVID-19 Pandemic in New York City.
Majbah UddinHo-Ling HwangMd Sami HasninePublished in: CoRR (2023)
Keyphrases
- machine learning
- main contribution
- pattern recognition
- data sets
- bayesian framework
- learning problems
- model selection
- knowledge acquisition
- artificial intelligence
- data mining
- database
- decision trees
- genetic algorithm
- information retrieval
- theoretical framework
- machine learning methods
- kernel methods
- neural network
- conceptual framework
- machine learning approaches