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case, Random Forest may be more suitable due to its ability to handle a large number of features and reduce overfitting. Conclusion about the above examples👆 Image bu Brijesh Soni Conclusion Image by Brijesh Soni In general, the choice between Decision Tree and Random Forest depends on the specific