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dataset. Overfitting: Random Forest is less prone to overfitting than Decision Tree. In Decision Tree, there is a high chance of overfitting because the tree can grow to become too complex, resulting in poor performance on unseen data. Random Forest, on the other hand, is less likely to overfit