Yes, another tree classifier. Here's what building one from scratch taught me.

I spent way too long building a tabular classifier from scratch. It doesn't beat XGBoost. I'm publishing it anyway — with honest benchmarks — because the honest result seems more useful than a drawer full of code. Repo: https://github.com/cloudlesson95-arch/hypothesis-tree The idea I wanted a tree that makes decisions purely on the input data, where every decision can be traced back to that data. Not "feature 3 > 0.7 somewhere in tree #412 of the ensemble" — an actual training row you can print…