Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...

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Abstract: Class imbalance occurs frequently in machine learning, particularly in binary classification tasks where the majority class has a significantly larger number of samples than the minority ...

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Artur is a copywriter and SEO specialist, as well as a small business owner. In his free time, he loves to play computer games and is glad that he was able to connect his professional career with his ...

Imbalanced medical datasets cause conventional SVM-based stroke detectors to over-fit the majority (non-stroke) class, producing acceptable overall accuracy but near-zero recall for stroke cases. The ...