A decision tree is generally a prediction modeling technique, it is a decision-supporting tool. It uses a tree-like representation or design and decision model to get accurate inferences.
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A decision tree is generally a prediction modeling technique, it is a decision-supporting tool. It uses a tree-like representation or design and decision model to get accurate inferences.
Introduction to Decision Tree in Machine Learning
Introduction to Decision Tree in Machine Learning
Decision Trees are a non-parametric supervised learning method used for both classification and regression tasks. Non-parametric means it does not make assumptions, thus we can obtain good prediction results. Objective of Decision Tree The goal is to create a model that predicts the value of a target variable by learning simple decision rules inferred from the data features . The decision…
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