Does Form follow Function? Case Study Hamburg
Architects and planners have always assumed that there is a relationship between form and function. This work is investigating if the function of a building can be predicted based on its geometrical attributes by using supervised machine learning techniques.
- Introduction and objective
- Metadata
- Cleaning and reshaping the dataset
- Exploring the variables
- Target variable
- Independent variable
- Key findings after initial analysis
- Preparing the data for classification
- Dummy variables
- Manual feature selection
- K-nearest Neighbor Classifier
- Initial test runs
- Initial results
- Gridsearch
- Decision Tree Classifier
- Initial test runs
- Gridsearch and pipelining
- Random Forest Classifier
- Gridsearch and pipelining
- Key findings
- References