What is Overfitting and Underfitting in Machine Learning? How can you prevent them?

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can you help me with this question

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Aravind 2025-02-28T15:11:34+00:00 1 Answer 11 views
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  1. Akshathadabbara
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    2025-02-28T15:18:24+00:00
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    • Overfitting: The model learns noise from the training data and performs well on training but poorly on unseen data.
    • Underfitting: The model is too simple and fails to capture the patterns in the data, resulting in poor performance on both training and test data.

    Ways to prevent overfitting:
    ✅ Use more training data
    ✅ Apply regularization techniques (L1/L2, dropout)
    ✅ Use cross-validation
    ✅ Prune decision trees
    ✅ Use simpler models

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