I completely agree with your perspective. It is a reality that deep learning models might offer certain advantages over classical statistical models. We are building benchmarks and comparisons to clarify when the more complex models are better.

We also want to show with this experiment the importance of creating benchmarks. In many use cases, practitioners choose more sophisticated models because they think this will give them better accuracy. The main idea is that robust benchmarks should always be created.