I’m not sure how the authors can claim to be comparing their approach against “state of the art” AutoML and not include AutoGluon, FLAML or H2O. This independen

I’m not sure how the authors can claim to be comparing their approach against “state of the art” AutoML and not include AutoGluon, FLAML or H2O. This independent benchmarking paper[0] is what the AutoML field points to as establishing SOTA, and the libraries compared against in the SapientML paper are middle of the pack at best. [0] https://arxiv.org/abs/2207.12560 https://arxiv.org/abs/2207.12560