  The field of Machine Learning research is divided into subject areas, where
each area tries to solve a specific problem, using specific methods. In recent
years, borders have almost been erased, and many areas inherit methods from
other areas. This trend leads to better results and the number of papers in the
field is growing every year. The problem is that the amount of information is
also growing, and many methods remain unknown in a large number of papers. In
this work, we propose the concept of inheritance between machine learning
models, which allows conducting research, processing much less information, and
pay attention to previously unnoticed models. We hope that this project will
allow researchers to find ways to improve their ideas. In addition, it can be
used by researchers to publish their methods too. Project is available by link:
https://www.infornopolitan.xyz/backronym
