Decision Tree Compared to Other Methods

How is normal Decision Tree different from Random Forest A Decision Tree is a supervised learning strategy in machine learning It may be used with both classification and regression algorithms As the name says it resembles a tree with nodes The branches are determined by the number of criteria It separates data into these branches until a threshold unit is reached

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