Decision Trees
Master of Science in Computer Science · University · Machine Learning
This unit introduces the fundamental concepts of Decision Trees, a powerful technique in Machine Learning. Students will gain a comprehensive understanding of model construction, tree construction, and pruning techniques, enabling them to effectively apply Decision Trees to real-world problems.
Zum Üben gibt es 51 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Decision Trees
- Model Construction
- Tree Construction Algorithms (ID3
- C4.5
- CART)
- Pruning Techniques (Pre-pruning
- Post-pruning)
- Overfitting and Underfitting
- Decision Tree Evaluation Metrics
- Applications of Decision Trees
Stichworte
- Decision Trees
- Tree Construction
- Pruning Techniques
- Supervised Learning
- Classification
- Regression
- Entropy
- Information Gain
- Gini Impurity