Posted On: Apr 02, 2020
The decision tree algorithm is a supervised learning algorithm that is used for classification as well as regression problems. In this type, we infer the simple decision rules from the training data and create a decision tree. We start from the root attribute of the decision tree with the record attribute and follow the branch of the root that corresponds to the match. In this way, we jump to the next branch until the final classification is reached.
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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...