Classification of imbalanced data using machine learning algorithms to predict the risk of renal graft failures in Ethiopia.
Getahun MulugetaTemesgen ZewotirAwoke Seyoum TegegneLeja Hamza JuharMahteme Bekele MuletaPublished in: BMC Medical Informatics Decis. Mak. (2023)
Keyphrases
- machine learning algorithms
- imbalanced data
- benchmark data sets
- machine learning methods
- decision trees
- machine learning
- learning algorithm
- learning problems
- learning tasks
- machine learning models
- random forests
- class imbalance
- classification models
- random forest
- class distribution
- ensemble methods
- supervised machine learning algorithms
- learning models
- feature selection
- linear regression
- training data
- text categorization
- meta learning
- data sets
- model selection
- feature space