In real-world biomedical applications of data mining, machine learning and artificial intelligence, there are situations where the widespread problem of class imbalance cannot be addressed by data-lev
This dataset contains four collections of samples stored in NumPy .npy format, designed for binary classification tasks. Each dataset folder includes two subfolders, train\/ and test\/, which further
The research hypothesis is that competitive coevolutionary learning is an effective method to deal with the problem of classifier learning from imbalanced data distributions. Two candidate algorithms
