Re: [scikit-learn] Interpreting results of random forest classifier

Hi David, > As I understand it now the 0 probability is probability that the prediction is wrong, and the 1 probability is the probability that the prediction is correct No: in binary classification, the `predict_proba` method returns a single number in [0, 1] indicating the probability that

[scikit-learn] Interpreting results of random forest classifier

Could someone explain what the probability values provided by the random forest classifier represents? When I run the classifier with two classes, I get prediction values and associated to these prediction values are probabilities. As I understand it now the 0 probability is probability that th