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Overfitting in machine learning occurs when a model learns the training data too well. In this article, we explore the consequences, causes, and preventive measures for overfitting, aiming to equip practitioners with strategies to enhance the robustness and reliability of their machine-learning models. What is Overfitting? Overfitting can be defined as a phenomenon where a machine learning ...
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