This project is the final assignment of the course ML202 in Ben Gurion University.
In order to run it:
- Make sure you have an Anaconda envionment of python 3.7.7
- Next install on that enviornment: jupyter, sklearn, pandas, numpy, logitboost, xgboost and shap.
- Finally, you'll have to download the datasets for the assignment.
Files details:
- To run the algorithms test: run FinalAssignment.py
- To create the meta learner: run MetaLearner.ipynb
- To run a MadaBoost Illustration: run MadaBoost Illustration.ipynb
- For a complete explanation of the results files: see final-assignment.pdf