A Quantification of Distance Bias Between Evaluation Metrics In Classification.
Ricardo VilaltaDaniel OblingerPublished in: ICML (2000)
Keyphrases
- evaluation metrics
- precision and recall
- average precision
- evaluation framework
- feature selection
- evaluation measures
- classification accuracy
- distance measure
- learning to rank
- machine learning
- support vector machine
- feature extraction
- supervised learning
- text classification
- support vector
- decision trees
- data sets
- retrieval systems
- feature space
- evaluation methods