Seminar - Advanced Data Analysis
|Lecturer:||Univ.-Prof. Dr. rer. nat. T. Seidl
Dipl.-Inform. A. Zimmer (née Ivanescu)
Regression models play an important role in data analysis, enabling prediction and providing data analytic tools for a better understanding of the relationship between independent and dependent variables. Linear models often fail in real life scenarios, most systems showing a nonlinear behavior. Regression trees overcome this limitation by recursively partitioning the data into several homogeneous regions and fiting a model (constant, linear, or higher polynomial) for every region. Regression trees are generalized decision trees, predicting a continuous value instead of class labels. By their means large datasets can be modeled and easy interpreted.