Cleaning Data set leads to same value for two different attribute values

[zahidirfan]

The cleaning of the credit data set is simply using the last digit. However, in the case of Attribute number 4: Purpose. This simplistic scheme does not work and produces '0' for both the values A40 (cars) and A410 (others). Here is an explanation from the data set document.

Attribute 4: (qualitative)
Purpose
A40 : car (new)
A41 : car (used)
A42 : furniture/equipment
A43 : radio/television
A44 : domestic appliances
A45 : repairs
A46 : education
A47 : (vacation - does not exist?)
A48 : retraining
A49 : business
A410 : others

minimax-fair/src/setup_credit_dataset.py

Line 17 in d9d60b2

df.iloc[:, i - 1] = df.iloc[:, i - 1].apply(lambda x: encoding_category(x))