Decision Trees
Computer Science · University of Applied Sciences · Machine Learning
This unit introduces the fundamental concepts of Decision Trees, including model construction, pruning techniques, and ensemble methods. Students will gain a comprehensive understanding of how Decision Trees are used for effective machine learning.
Zum Üben gibt es 52 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Decision Trees
- Model Construction
- Pruning Techniques
- Ensemble Methods
- Applications of Decision Trees
- Advantages and Disadvantages of Decision Trees
Stichworte
- Decision Trees
- Pruning
- Machine Learning
- Classification
- Regression
- Overfitting
- Underfitting