Fair_Model_Test

This code is associated with the fair model testing work

Data creation

Synthteic data creation can be completed using Data_from_DAG.R

Data cleaning/ required documents

These documents are needed to be downloaded for the later work:

• Conf_Mat.py
• Results_df_create.py
• Split_data.py

Model creation

The following documents contain the model creation and gridsearches:

• DT_model.py
• KNN_model.py
• LR_model.py
• RF_model.py
• SVM_model.py

Fairness test creation

The following documents contain the fairness notions:

• Treatment_equality.py
• Statistical_parity.py
• Equalised_Odds.py

Do the work!

Run_through_full requires inputting the folder containing the datasets and allows you to run and save the results of all 5 models. Note - the Random Forest and SVM output times taken as they are computationally expensive when there is a large amount of data. Run_trhough_FT requires inputting the folder containing all the results and allows you to run and save the 3 datasets. Graphs.py creates graphs for the results of the fairness tests