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fix typo in docstring #138

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6 changes: 3 additions & 3 deletions boruta/boruta_py.py
Original file line number Diff line number Diff line change
Expand Up @@ -43,13 +43,13 @@ class BorutaPy(BaseEstimator, TransformerMixin):
crucial parameter. For more info, please read about the perc parameter.
- Automatic tree number:
Setting the n_estimator to 'auto' will calculate the number of trees
in each itartion based on the number of features under investigation.
in each iteration based on the number of features under investigation.
This way more trees are used when the training data has many features
and less when most of the features have been rejected.
- Ranking of features:
After fitting BorutaPy it provides the user with ranking of features.
Confirmed ones are 1, Tentatives are 2, and the rejected are ranked
starting from 3, based on their feautre importance history through
starting from 3, based on their feature importance history through
the iterations.

We highly recommend using pruned trees with a depth between 3-7.
Expand Down Expand Up @@ -138,7 +138,7 @@ class BorutaPy(BaseEstimator, TransformerMixin):
support_weak_ : array of shape [n_features]

The mask of selected tentative features, which haven't gained enough
support during the max_iter number of iterations..
support during the max_iter number of iterations.

ranking_ : array of shape [n_features]

Expand Down