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Decision tree and Random forest as is implied by the names "Tree" and "Forest," the two concepts are similar. A Random Forest is essentially a collection of Decision Trees. A decision tree is built on an entire data set, using all the features/variables of interest, whereas a random forest randomly selects observations/rows and specific features/variables to build multiple decision trees from and then averages the results.