DOC Clarify wording in ensemble.rst
@@ -761,12 +761,12 @@ the parameter ``loss``:
* Classification
- * Binomial deviance (``'deviance'``): The negative binomial
- log-likelihood loss function for binary classification (provides
+ * Binomial deviance (``'deviance'``): The binomial
+ negative log-likelihood loss function for binary classification (provides
probability estimates). The initial model is given by the
log odds-ratio.
- * Multinomial deviance (``'deviance'``): The negative multinomial
- log-likelihood loss function for multi-class classification with
+ * Multinomial deviance (``'deviance'``): The multinomial
+ negative log-likelihood loss function for multi-class classification with
``n_classes`` mutually exclusive classes. It provides
probability estimates. The initial model is given by the
prior probability of each class. At each iteration ``n_classes``
