Expert System for Refrigeration Systems
- Adjust filelocation of train data in runme.py
- Fill the lists possible_problems, feature_names, user_input, possible_measures with your feature names and labels
- create models by running rumme.py with argument "create_models for_problems" and again with argument "create_models for_measures"
- Adjust filelocation of user/test data in runme.py
- run runme.py with the argument predict
open create_models.py and change model settings in function create_model
repeat step 3