Evaluating credal classifiers by utility-discounted predictive accuracy.
Marco ZaffalonGiorgio CoraniDenis Deratani MauáPublished in: Int. J. Approx. Reason. (2012)
Keyphrases
- predictive accuracy
- high predictive accuracy
- decision trees
- machine learning algorithms
- cash flow
- classification rules
- machine learning
- training data
- rule sets
- support vector
- learning algorithm
- markov decision processes
- naive bayes
- prediction accuracy
- training set
- artificial intelligence
- model averaging
- predictive power
- neural network
- classification algorithm
- rough set theory
- optimal policy
- training examples
- classification accuracy
- expert systems
- feature selection