AutoScore-Ordinal: An interpretable machine learning framework for generating scoring models for ordinal outcomes.
Seyed Ehsan SaffariYilin NingXie FengBibhas ChakrabortyVictor VoloviciRoger VaughanMarcus Eng Hock OngNan LiuPublished in: CoRR (2022)
Keyphrases
- machine learning
- modeling framework
- probabilistic model
- machine learning algorithms
- main contribution
- data driven approaches
- machine learning methods
- model selection
- computer vision
- bayesian framework
- machine learning models
- data mining
- feature selection
- decision trees
- data sets
- social networks
- complex systems
- learning models
- machine learning approaches
- information retrieval
- learning methodologies