The Experian and TransUnion Credit Score datasets contain 50,000 observations
each. These datasets are fictional and are generated in `0_preprocess_data.py`
They contain a set of predictive attributes and a target value. The target
value is the change in an individual's credit score over a fixed period of time.

Each dataset is placed on an independent Access Point to demonstrate situations
in which an organization needs to use data from separate, independent
organizations to do things such as training a model without direct access
to sensitive data.

Ultimately this outputs the datasets:
 * "EXAMPLE - Experian Credit Score Data"
 * "EXAMPLE - TransUnion Credit Score Data"

And an equivalent but much smaller group:
 * "TEST - Experian Credit Score Data"
 * "TEST - TransUnion Credit Score Data"

Two additional testing files are also created at this time.  It is stashed
on TripleBlind's Google Drive for download when needed:
 * regression_test.csv and regression_test_small.csv

This dataset is used by the following examples: XGBoost_Regression
