What are overfitting and underfitting? Why does the decision tree algorithm suffer often with overfitting problems?

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2. Overfitting and Underfitting:

   • Overfitting occurs when a model is too complex and fits the training data too closely.
   • Underfitting occurs when a model is too simple and doesn't capture the underlying patterns.

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