Predicting the Income Level of a Country

Authors

Daniel Kancsar, Sara Sandh, Verena Schuster, Sabrina Herbst

Dependencies

We used Python 3.9. Additionally graphviz (https://graphviz.org/) is needed to compute and visualize the decision trees.

• Jupyter
• pandas
• numpy
• scipy
• dataprep
• matplotlib
• seaborn
• scikit-learn

Files

• src/data contains the datasets we used. More information on the datasets can be found in the beginning of the Jupyter Notebook.
• src/income_country.ipynb contains the source code and all information regarding our prediction
• src/trees contains generated plots, visualising some trees in the Random Forest