SMOTE Oversampling and Near Miss Undersampling Based Diabetes Diagnosis from Imbalanced Dataset with XAI Visualization.
Nasim Mahmud NayanAshraful IslamMuhammad Usama IslamEshtiak AhmedMohammad Mobarak HossainMd Zahangir AlamPublished in: ISCC (2023)
Keyphrases
- imbalanced datasets
- class imbalance
- class distribution
- majority class
- minority class
- cost sensitive learning
- learning from imbalanced data
- active learning
- cost sensitive
- sampling methods
- rare class
- imbalanced data
- feature selection
- imbalanced data sets
- rare events
- data analysis
- concept drift
- high dimensionality
- misclassification costs
- training set
- training data
- machine learning
- training samples
- fraud detection
- support vector machine