The impact of identifiable features in ML Classification algorithms with the HIKARI-2021 Dataset.
Rui FernandesJoão SilvaÓscar RibeiroIrene PortelaNuno LopesPublished in: ISDFS (2023)
Keyphrases
- benchmark datasets
- feature set
- uci datasets
- feature extraction
- classification algorithm
- classification process
- feature vectors
- classification accuracy
- feature space
- feature selection algorithms
- machine learning approaches
- maximum likelihood
- pattern recognition
- classification method
- extracted features
- classification models
- svm classifier
- image features
- low level
- feature analysis
- extracting features
- machine learning algorithms
- machine learning methods
- feature values
- supervised machine learning algorithms
- text classification
- optimization problems
- decision trees
- learning algorithm
- data sets
- image classification
- classification scheme
- semi supervised
- multi class
- ensemble classifier
- support vector
- data structure
- supervised classifiers
- category labels
- sufficient training data
- data mining