Decision tree in machine learning

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This tool is also used in the creation of automated forecasting models. They are actively used in machine learning. The use of a decision tree makes it possible to predict the probable value of an object taking into account all the information known about it.

Decision tree in machine learning
Decision tree in machine learning
This type is called a "classification tree." In this scheme, the nodes finland mobile database represent data, not a decision. Each branch of such a tree contains a specific set of rules that correspond to the selected class.

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Such decision rules are usually expressed in a compliance condition, which can be summarized by an "if-then" formula. The conditions are formulated separately for each decision or value and predict the probability of a certain outcome if the conditions are met.
Any additional information increases the reliability of the prediction of how well the selected object meets the stated conditions. The data obtained can be used to create a larger decision tree in the selected area.