This is the replication package for Fairabel, which includes the source code for Fairabel. The package contains two folders: 'ML' and 'DL,' which contain the source code and experimental results of Fairabel in classical machine learning and deep learning scenarios. Each file in the 'results' folder is named according to the experiment setting, with the file extension indicating the file type. For example, a file named 'Fairabel_lr_adult_race.txt' refers to a logistic regression model that applied the Fairabel method to protect the race attribute in the Adult Census Income dataset. Each file in the 'results' folder has 53 columns. The first column indicates the ML performance or fairness metric, followed by 50 columns of metric values from 50 runs, and the last two columns show the mean and standard deviation values of the 50 runs.