For a classification tree with 2 classes {0,1}, the value of the leaf node represent the raw score for class 1. It can be converted to a probability score by using the logistic function. The calculation below use the left most leaf as an example.
1/(1+np.exp(-1*0.167528))=0.5417843204057448
What this means is if a data point ends up being distributed to this leaf, the probability of this data point being class 1 is 0.5417843204057448.
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