Probabilistic Random Forest: A machine learning algorithm for noisy datasets — mentioned by psandersen

Mon, 22 Jun 2020 17:17:42 GMT

This is really interesting, thanks for sharing! I've been thinking about extensions to decision tree models that could get the benefits of NNs and it seems like there are a few ideas floating around. For example; Probabilistic Random Forests have some really interesting properties for noisy datasets, e.g. "The PRF accuracy decreased by less then 5% for a dataset with as many as 45% misclassified objects, compared to a clean dataset." - https://arxiv.org/abs/1811.05994 PRF's might be a natural fit for RL, especially methods using monte carlo tree search. Speculating here as I'm not adequately…

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Probabilistic Random Forest: A machine learning algorithm for noisy datasets · HackerPapers discussions

Probabilistic Random Forest: A machine learning algorithm for noisy datasets — mentioned by psandersen