A decision tree is a non-parametric supervised learning algorithm, which is utilized for both classification and regression tasks . It has a hierarchical, tree structure, which consists of a root node, branches, internal nodes and leaf nodes.
A decision tree is a decision support hierarchical model that uses a tree-like model of decisions and their possible consequences, including chance event ... Overview · Decision-tree building blocks |
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 ... |
| Дерево решений |  |
Дерево принятия решений — средство поддержки принятия решений, использующееся в машинном обучении, анализе данных и статистике. Структура дерева представляет собой «листья» и «ветки». Википедия
17 мая 2024 г. · A decision tree is a flowchart-like structure used to make decisions or predictions. It consists of nodes representing decisions or tests on ... Decision Tree in Machine... · Decision Tree Regression · Decision Tree Algorithms |
Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning. In this formalism, a classification or ... Classification chart · ID3 algorithm · Diversity index |
The unique feature of the decision tree is that it allows management to combine analytical techniques such as discounted cash flow and present value methods ... |
Decision Trees in Computer Science are structures composed of nodes and links, which are used to represent goals and decisions respectively. |
14 нояб. 2023 г. · A decision tree is a specific type of flowchart (or flow chart) used to visualize the decision-making process by mapping out different courses ... |
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