Relevance as a Metric for Evaluating Machine Learning Algorithms.
Aravind Kota GopalakrishnaTanir OzcelebiAntonio LiottaJohan J. LukkienPublished in: MLDM (2013)
Keyphrases
- machine learning algorithms
- benchmark data sets
- learning algorithm
- machine learning
- decision trees
- predictive accuracy
- machine learning methods
- learning tasks
- learning problems
- random forests
- information retrieval
- input features
- machine learning approaches
- multiclass classification
- machine learning systems
- relevance feedback
- machine learning models
- learning process
- test collection
- feature vectors
- data sets
- training data
- evaluation metrics
- statistical machine learning