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                        predict_proba : is there way to calculate probability of correct decision
is there way to calculate probability of correct decision usually it classier has attribute predict_proba
like https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html
| predict_proba(self, X) | Probability estimates. | 
|---|
Doesn't look like it, but it could be implemented like for a decision tree, rather than for a logistic regression. Remember this is not the "probability of correct decision"; only the fraction of the training data that falls into each class for each leaf.
See https://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html#sklearn.tree.DecisionTreeClassifier.predict_proba.
Great observation thanks But what is leave in Corel case I get only one rule For example If (*********) Then yes Else No