Feature Selection and Dimensionality Reduction for Unbalanced Liver Disease Classification with Optimized Machine Learning Algorithms.
Abd Allah AouraghMohamed BahajPublished in: CiSt (2023)
Keyphrases
- machine learning algorithms
- dimensionality reduction
- feature selection
- machine learning
- benchmark data sets
- machine learning methods
- input features
- decision trees
- high dimensionality
- feature extraction
- learning algorithm
- machine learning approaches
- learning problems
- classification accuracy
- machine learning models
- pattern recognition
- feature space
- statistical machine learning
- learning tasks
- model selection
- text categorization
- high dimensional
- support vector
- high dimensional data
- support vector machine
- data sets
- liver disease
- kernel learning
- multiclass classification
- feature selection algorithms
- learning models
- information gain
- semi supervised learning
- text classification
- knn
- classification models
- dimension reduction
- support vector machine svm
- multi class
- training data