[scikit-learn] Interpreting results of random forest classifier

[DAVID cofield]

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 the prediction is wrong, and the 1 probability is the probability that the prediction is correct. One thing I do not understand is why the probability ranges do not go from 0 to 100; they go from 0 to 49 for 0 probability and 49-100 for 1 probability. How do I interpret  the probabilities?

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