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Overfitting and underfitting are critical concepts in machine learning, influencing the effectiveness and generalizability of models. These phenomena occur when a model learns either too much or too little from the training data, respectively. Understanding and addressing these issues is crucial for optimizing machine learning models, ensuring ...
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