Logistic Regression
Artificial Intelligence · Further Education · Machine Learning Algorithms
Logistic regression is a supervised learning algorithm used to predict the probability of an event occurring. In this unit, we will explore the concepts, applications, and techniques of logistic regression, enabling you to build and evaluate models for binary classification tasks.
Zum Üben gibt es 54 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Logistic Regression
- Logistic Function and Sigmoid Function
- Odds Ratio and Probability Interpretation
- Model Fitting and Parameter Estimation
- Model Evaluation and Performance Metrics
- Assumptions and Limitations of Logistic Regression
- Applications of Logistic Regression
Stichworte
- Logistic Function
- Sigmoid Function
- Odds Ratio
- Binary Classification
- Probability Modeling
- Supervised Learning
- Classification
- Model Evaluation
- ROC Curve
- AUC