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1. www.geeksforgeeks.org › decision-tree-algorithmsDecision Tree Algorithms - GeeksforGeeks

   www.geeksforgeeks.org › decision-tree-algorithms

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   May 22, 2024 · Decision trees are a type of machine-learning algorithm that can be used for both classification and regression tasks. They work by learning simple decision rules inferred from the data features. These rules can then be used to predict the value of the target variable for new data samples.

2. www.javatpoint.com › machine-learning-decisionDecision Tree Algorithm in Machine Learning - Javatpoint

   www.javatpoint.com › machine-learning-decision

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   In a decision tree, for predicting the class of the given dataset, the algorithm starts from the root node of the tree. This algorithm compares the values of root attribute with the record (real dataset) attribute and, based on the comparison, follows the branch and jumps to the next node.

3. www.analyticsvidhya.com › decision-tree-algorithmDecision Tree? [A Step-by-Step Guide] - Analytics Vidhya

   www.analyticsvidhya.com › decision-tree-algorithm

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   May 31, 2024 · In this comprehensive guide, we will cover all aspects of the decision tree algorithm, including the working principles, different types of decision trees, the process of building decision trees, and how to evaluate and optimize decision trees.

4. www.geeksforgeeks.org › decision-treeDecision Tree - GeeksforGeeks

   www.geeksforgeeks.org › decision-tree

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   May 17, 2024 · A decision tree is a flowchart-like structure used to make decisions or predictions. It consists of nodes representing decisions or tests on attributes, branches representing the outcome of these decisions, and leaf nodes representing final outcomes or predictions.

5. towardsdatascience.com › understanding-decisionUnderstanding Decision Trees (once and for all!) | by ...

   towardsdatascience.com › understanding-decision

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   Mar 2, 2019 · In this article, we dissected Decision Trees to understand every concept behind the building of this algorithm that is a must know. 👏 To understand how a Decision Tree is built, we took a concrete example : the iris dataset made up of continuous features and a categorical target. Decision Trees can also be built using categorical features ...

6. www.geeksforgeeks.org › decision-tree-introductionDecision Tree in Machine Learning - GeeksforGeeks

   www.geeksforgeeks.org › decision-tree-introduction

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   Mar 15, 2024 · A decision tree in machine learning is a versatile, interpretable algorithm used for predictive modelling. It structures decisions based on input data, making it suitable for both classification and regression tasks.

7. scikit-learn.org › stable › modules1.10. Decision Trees — scikit-learn 1.5.1 documentation

   scikit-learn.org › stable › modules

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   Decision Trees (DTs) are a non-parametric supervised learning method used for classification and regression. 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. A tree can be seen as a piecewise constant approximation.