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    Question

    What is overfitting in the context of machine learning

    models?
    A A scenario where a model performs well on both the training data and unseen test data. Correct Answer Incorrect Answer
    B A condition where a model is too complex and captures noise in the training data, leading to poor generalization on new data. Correct Answer Incorrect Answer
    C A process of simplifying a model to improve its performance on the training dataset. Correct Answer Incorrect Answer
    D A technique to ensure that a model is trained with a sufficient amount of data to avoid bias. Correct Answer Incorrect Answer
    E A strategy for improving model performance by using cross-validation to tune hyperparameters. Correct Answer Incorrect Answer

    Solution

    Overfitting occurs when a machine learning model is too complex relative to the amount of training data available. In this situation, the model learns not only the underlying patterns in the training data but also the noise and random fluctuations. As a result, the model performs exceptionally well on the training data but fails to generalize to new, unseen data.

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