A Unified Framework for Evaluation Metrics in Classification Using Decision Trees.
Ricardo VilaltaMark BrodieDaniel OblingerIrina RishPublished in: ECML (2001)
Keyphrases
- decision trees
- evaluation metrics
- decision rules
- predictive accuracy
- precision and recall
- evaluation methods
- average precision
- training set
- decision tree algorithm
- machine learning
- feature construction
- classification models
- rule sets
- text classification
- feature vectors
- support vector
- classification rules
- machine learning algorithms
- naive bayes
- training data
- evaluation framework
- multimedia
- benchmark datasets
- learning to rank
- feature extraction