Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiers.
Patryk OrzechowskiJason H. MoorePublished in: CoRR (2021)
Keyphrases
- comprehensive evaluation
- machine learning
- machine learning algorithms
- machine learning methods
- decision trees
- machine learning approaches
- supervised classification
- feature selection
- systematic evaluation
- support vector
- linear classifiers
- roc analysis
- training set
- learning classifier systems
- unsupervised learning
- meta learning
- bayesian network classifiers
- pattern recognition
- discriminative classifiers
- knowledge acquisition
- multiple classifier systems
- classification systems
- test set
- multiple classifiers
- inductive learning
- learning problems
- classification algorithm
- logistic regression
- training data
- knowledge representation
- information extraction
- generative model
- natural language processing
- svm classifier
- learning algorithm
- artificial intelligence
- support vector machine
- ensemble classifier
- multi class
- model selection
- inductive logic programming
- learning tasks
- naive bayes
- text classification
- roc curve
- supervised learning
- ensemble learning
- binary classifiers
- training samples
- feature ranking
- statistical methods
- active learning
- training examples
- data sets
- data mining