Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model.
Benjamin LethamCynthia RudinTyler H. McCormickDavid MadiganPublished in: CoRR (2015)
Keyphrases
- prediction model
- bayesian analysis
- classification rules
- regression model
- computationally feasible
- response surface methodology
- training data
- stepwise regression
- association rules
- software reliability
- learning classifier systems
- customer churn
- training set
- ls svm
- associative classifiers
- neural network
- decision trees
- support vector
- rule sets
- naive bayes
- predictive model
- wavelet neural network
- bp neural network
- rule induction
- classification algorithm
- forecasting model
- chinese characters
- decision rules
- rough sets
- genetic algorithm