Oversampling: Revision history

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21 March 2023

  • curprev 01:0901:09, 21 March 2023‎ Walle talk contribs‎ 2,687 bytes +2,687‎ 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..."
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