Understanding Imbalanced Datasets and their Impact on Machine Learning

Imbalanced learning is a subset of machine learning that deals with datasets in which the distribution of classes is significantly imbalanced. In such datasets, the number of instances of one class is much higher than the other class or classes. For ...