MLCHECK- Property-Driven Testing of Machine Learning Classifiers.
Arnab SharmaCaglar DemirAxel-Cyrille Ngonga NgomoHeike WehrheimPublished in: ICMLA (2021)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- machine learning approaches
- decision trees
- feature selection
- supervised classification
- test set
- test data
- knowledge acquisition
- feature ranking
- linear classifiers
- artificial intelligence
- computer vision
- training data
- roc analysis
- inductive learning
- support vector
- multiple classifiers
- active learning
- data driven
- multiple classifier systems
- computational intelligence
- computer science
- pattern recognition
- test cases
- svm classifier
- information extraction
- support vector machine
- classification systems
- software testing
- meta learning
- learning algorithm
- learning tasks
- statistical methods
- learning systems
- naive bayes
- unsupervised learning
- natural language processing
- supervised learning
- training set
- data analysis
- semi supervised learning
- feature vectors
- training stage