Validation of Machine Learning Classifiers Using Metamorphic Testing and Feature Selection Techniques.
Sadam Al-AzaniJameleddine HassinePublished in: MIWAI (2017)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- decision trees
- machine learning approaches
- test set
- supervised classification
- feature selection
- support vector
- meta learning
- learning tasks
- training data
- learning algorithm
- data mining
- inductive learning
- training set
- multiple classifier systems
- roc analysis
- test cases
- supervised learning
- support vector machine
- majority voting
- test data
- training stage
- model based testing
- classification algorithm
- roc curve
- classification systems
- learning classifier systems
- learning systems
- reinforcement learning
- naive bayes
- pattern recognition
- training samples
- data analysis
- text mining
- computer vision
- class labels
- multiple classifiers
- classification accuracy
- knowledge discovery
- information extraction
- feature set
- knowledge acquisition
- model selection
- ensemble learning
- inductive logic programming
- kernel methods
- training examples