SOLVING THE GREAT ANSCOMBE DATASETS
Benchmark
This benchmark shows how Machine Gnostics reads the Anscombe quartet differently from classical statistical analysis. It highlights where the two approaches can lead to different findings, different interpretations, and different real-world decisions.
How to read this benchmark
This is a Machine Gnostics benchmark built around a single Anscombe case. It uses a different analytical perspective from classical statistics, so the meaning of a result and the correct interpretation can differ.
In this report, MG is presented as a complementary lens that adds structural insight, not as a replacement for classical statistics. The VS wording is used only for comparison and context. The same benchmark pattern can later be adapted to other problem settings, including machine learning and deep learning models.