Posted On: Apr 02, 2020
Random forest is a supervised algorithm that is mainly used for classification problems. It creates a decision tree from the data samples. Based on the decision tree, it predicts the result. Then, the voting process takes place in which voting is performed for every predicted result. Finally, the most voted prediction result is taken as the final prediction result. This technique is also used as regression as well.
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Supervised and unsupervised are the two types of Machine learning algorithms available. In the supervised type, the algorithms are applied to the known labeled data to formulate a model. Labeled data...