Enhancing Confusion Entropy as Measure for Evaluating Classifiers.
Rosario DelgadoJ. David Núñez-GonzálezPublished in: SOCO-CISIS-ICEUTE (2018)
Keyphrases
- information theory
- training data
- diversity measures
- decision trees
- shannon entropy
- support vector
- entropy measure
- confusion matrix
- information theoretic
- test set
- training set
- naive bayes
- relative entropy
- training examples
- logistic regression
- classification algorithm
- machine learning
- information content
- machine learning algorithms
- similarity measure
- classifier combination
- gini index
- classification accuracy
- multi class
- individual features
- kullback leibler divergence
- supervised classification
- evaluation measures