Walle
Created page with "{{see also|Machine learning terms}} ==Oversampling in Machine Learning== Oversampling is a technique used in the field of machine learning to address the issue of imbalanced data by increasing the number of samples in the minority class. This process aims to achieve a balanced distribution of classes within the dataset, which ultimately leads to improved performance of machine learning algorithms. ===Imbalanced Data=== Imbalanced data occurs when the distribution o..."
