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New Fuzzy Machine Learning Model Tackles Imbalanced Data With Striking

Summary by Scienmag: Latest Science and Health News

Researchers at IIT Roorkee have developed a fuzzy twin support vector machine that uses polycentric memberships and class probabilities to outperform existing methods on imbalanced datasets, including breast cancer diagnosis.

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New Fuzzy Machine Learning Model Tackles Imbalanced Data With Striking

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Scienmag: Latest Science and Health News broke the news 2 days ago on Saturday, September 12, 2026.

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New Fuzzy Machine Learning Model Tackles Imbalanced Data With Striking

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New Fuzzy Machine Learning Model Tackles Imbalanced Data With Striking

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New Fuzzy Machine Learning Model Tackles Imbalanced Data With Striking

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