If you’re interested in how tree-based models work, I wrote an interactive explanation on decision trees here: https://mlu-explain.github.io/decision-tree/ http

If you’re interested in how tree-based models work, I wrote an interactive explanation on decision trees here: https://mlu-explain.github.io/decision-tree/ https://mlu-explain.github.io/decision-tree/ and random forests here: https://mlu-explain.github.io/random-forest/ https://mlu-explain.github.io/random-forest/ It’s also worth noting that a recentish paper shows neural networks can perform well on tabular data if well-regularized: https://arxiv.org/abs/2106.11189v1?utm_source=jesper&utm_medium=email&utm_campaign=coming-up-with-weather-puns-is-a-breeze https://arxiv.org/abs/2106.11189v1?utm_source=jesper&utm_med...