Effect of Feature Discretization on Classification Performance of Explainable Scoring-Based Machine Learning Model.
Arkadiusz PajorJakub ZolnierekBartlomiej SniezynskiArkadiusz SitekPublished in: ICCS (3) (2022)
Keyphrases
- machine learning
- pattern recognition
- classification algorithm
- classification accuracy
- classification method
- probabilistic model
- probability distribution
- naive bayes classifier
- pattern classification
- computational model
- model selection
- neural network
- prior knowledge
- feature selection
- bayesian networks
- feature vectors
- hidden markov models
- support vector
- management system
- image classification
- text classification
- reinforcement learning
- support vector machine svm
- similarity measure
- feature extraction
- machine learning methods
- decision trees
- learning models
- machine learning approaches
- selection criterion
- data preprocessing