Mgini - Improved Decision Tree using Minority Class Sensitive Splitting Criterion for Imbalanced Data of Covid-19.
Pratikkumar A. BarotH. B. JethvaPublished in: J. Inf. Sci. Eng. (2021)
Keyphrases
- imbalanced data
- decision trees
- minority class
- random forest
- majority class
- ensemble methods
- classification models
- feature selection
- imbalanced datasets
- class imbalance
- imbalanced data sets
- class distribution
- training data
- ensemble classifier
- naive bayes
- base classifiers
- attribute selection
- training set
- nearest neighbour
- machine learning algorithms
- machine learning
- support vector machine
- sampling methods
- linear regression
- random forests
- original data
- decision boundary
- training dataset
- classification accuracy
- svm classifier
- ensemble learning
- multi class