Machine learning models and cost-sensitive decision trees for bond rating prediction.
Sami Ben JabeurAmir SadaaouiAsma SghaierRiadh AlouiPublished in: J. Oper. Res. Soc. (2020)
Keyphrases
- cost sensitive
- machine learning models
- decision trees
- rating prediction
- machine learning algorithms
- naive bayes
- collaborative filtering
- sentiment analysis
- predictive model
- machine learning
- matrix factorization
- recommender systems
- multi class
- base classifiers
- active learning
- social relations
- learning problems
- learning models
- text classification
- customer reviews
- user ratings
- classification algorithm
- machine learning methods
- learning algorithm
- classification models
- training data
- decision rules
- bayesian networks
- ensemble methods
- markov random field
- training set
- classification rules
- text categorization
- generative model
- model selection
- graph kernels
- supervised learning
- knn
- high dimensional