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Probabilistic Random Forest: A machine learning algorithm for noisy datasets

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[Request] Documentation for PRF class variables

malteal opened this issue · comments

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Hello,

I'm trying to do classification on binary mislabeled data, like you did in your paper "Probabilistic Random Forest: A machine learning algorithm for noisy datasets" in fig. 4. But I'm having a hard time finding any documentation about the variables used in the classes in PRF.py, especially keep_proba and bootstrap. Is there any documentation for these?

In particular, if I want to give the PRF the (1-p_switch) value, which variable should I use?

Best,
Malte