Accuracy vs. Interpretability of Fuzzy Rule-Based Classifiers: An Evolutionary Approach.
Marian B. GorzalczanyFilip RudzinskiPublished in: ICAISC (SIDE-EC) (2012)
Keyphrases
- prediction accuracy
- confusion matrix
- support vector
- high accuracy
- decision trees
- individual classifiers
- improving classification accuracy
- classification accuracy
- computational cost
- machine learning algorithms
- training data
- fold cross validation
- predictive accuracy
- fuzzy model
- linear classifiers
- roc analysis
- neural network
- confusion matrices
- highest accuracy
- multiple classifiers
- training set
- classifier ensemble
- accuracy rate
- roc curve
- naive bayes