Redundancy-driven modified Tomek-link based undersampling: A solution to class imbalance
Pattern Recognition Letters, Volume 93, 2017, Pages 3-12.
Abstract 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 misclassification of upcomin...More
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