Definition and Overview
Machine Learning · Further Education · Supervised Learning
This unit introduces the concept of decision trees, a fundamental supervised learning algorithm. It covers the definition, structure, and key components of decision trees, providing a foundation for understanding their role in classification and prediction tasks.
Zum Üben gibt es 54 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Definition and Overview of Decision Trees
- Structure of Decision Trees
- Splitting Criteria for Decision Trees
- Decision Tree Construction Algorithm
- Decision Trees for Classification
- Decision Trees for Prediction
- Advantages and Limitations of Decision Trees
Stichworte
- Decision Trees
- Supervised Learning
- Classification
- Prediction
- Root Node
- Leaf Node
- Splitting Criteria
- Entropy
- Information Gain