Decision Trees
Artificial Intelligence · Further Education · Machine Learning Algorithms
Decision Trees are a supervised learning algorithm that models the relationship between a dependent variable and one or more independent variables using a tree structure. This unit will provide an overview of Decision Trees, including their construction, evaluation, and applications.
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Das gehört dazu
- Introduction to Decision Trees
- Construction of Decision Trees
- Evaluation of Decision Trees
- Applications of Decision Trees
- Advantages and Disadvantages of Decision Trees
- Decision Trees for Classification
- Decision Trees for Regression
- Entropy in Decision Trees
- Information Gain in Decision Trees
- Pruning Decision Trees
Stichworte
- Decision Trees
- Supervised Learning
- Classification
- Regression
- Tree Structure
- Node
- Leaf
- Branch
- Entropy
- Information Gain