Discovering Boundary Values of Feature-based Machine Learning Classifiers through Exploratory Datamorphic Testing.
Hong ZhuIan BayleyPublished in: CoRR (2021)
Keyphrases
- machine learning
- machine learning algorithms
- decision trees
- machine learning methods
- test set
- supervised classification
- machine learning approaches
- feature selection
- training data
- learning algorithm
- knowledge acquisition
- attribute values
- classification systems
- feature values
- test cases
- test data
- supervised learning
- meta learning
- training set
- pattern recognition
- support vector
- statistical tests
- parameter values
- linear classifiers
- learning tasks
- learning classifier systems
- explanation based learning
- multiple classifier systems
- classification method
- classification algorithm
- text mining
- active learning
- information extraction
- support vector machine
- data sets
- multiple classifiers
- data mining
- ensemble classifier
- artificial intelligence
- reinforcement learning
- data analysis
- natural language processing
- classification models
- text classification
- object boundaries
- learning problems
- semi supervised learning
- training samples
- training examples