Testing Modified Confusion Entropy as Split Criterion for Decision Trees.
J. David Nuñez-GonzalezAlexander Gonzalo de SáManuel GrañaPublished in: HAIS (2019)
Keyphrases
- decision trees
- gini index
- gain ratio
- minimum error
- mutual information
- relative entropy
- decision tree induction
- information gain
- feature construction
- decision tree algorithm
- information theory
- predictive accuracy
- normalized mutual information
- machine learning algorithms
- naive bayes
- conditional entropy
- feature selection
- optimization criterion
- logistic regression
- decision rules
- information theoretic
- random forest
- shannon entropy
- minimum description length
- attribute selection
- multivariate decision trees
- similarity measure
- selection criterion
- rule induction
- multiple criteria
- information content
- test set
- prediction accuracy
- fuzzy sets
- training data
- learning algorithm
- machine learning
- data sets