Fitting a Decision Tree Model
Machine Learning · Further Education · Supervised Learning
This unit introduces the concept of decision tree models, a powerful tool for supervised machine learning. Students will learn how to fit decision trees to data, evaluate their performance, and apply them to real-world problems.
Zum Üben gibt es 52 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Decision Trees
- Decision Tree Algorithms (e.g.
- ID3
- C4.5
- CART)
- Model Fitting and Training
- Model Evaluation Metrics
- Tree Pruning Techniques
- Overfitting and Underfitting
- Applications of Decision Trees
Stichworte
- Decision Trees
- Supervised Learning
- Classification
- Regression
- Model Fitting
- Model Evaluation
- Decision Rules
- Tree Pruning
- Overfitting
- Underfitting