Redundancy-driven modified Tomek-link based undersampling: A solution to class imbalance

Class imbalance can be defined as a span among data mining, machine learning and pattern recognition domains that provides to learn from a data-space having unequal class distribution. Common classifiers when trained by imbalanced data tend to bias towards the class possessing bulk instances causing... View More