DMP: Vienna Open Data Tree Age Modeling

This experiment demonstrates a reproducible machine learning pipeline using real-world open data from the Vienna Tree Cadastre. The objective is to classify trees into age groups Sapling, Adult, Ancient based on trunk circumference and species. The data is sourced from an authorized national portal, partitioned into training, validation, and test subsets, and used to optimize various classifiers. The project delivers a trained model along with all required artifacts, including confusion matrices and performance charts, to ensure transparency and trust in the results.