The Decision Tree Model
Machine Learning · Further Education · Supervised Learning
This unit introduces the Decision Tree Model, a powerful tool for supervised learning. Students will learn how to construct and interpret decision trees, and how to use them to make predictions on new data.
Zum Üben gibt es 50 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to decision trees
- Construction of decision trees
- Interpretation of decision trees
- Use of decision trees for prediction
- Advantages and disadvantages of decision trees
- Applications of decision trees
Stichworte
- Decision Trees
- Supervised Learning
- Classification
- Regression
- Machine Learning
- Data Mining
- Predictive Modeling