Merge pull request scikit-learn-contrib#33 from tagomatech/tagomatech-patch-2

changed value of parameter in the example code

Author: danielhomola

README.md

@@ -165,7 +165,7 @@ __verbose__ : int, default=0
 
     # define random forest classifier, with utilising all cores and
     # sampling in proportion to y labels
-    rf = RandomForestClassifier(n_jobs=-1, class_weight='auto', max_depth=5)
+    rf = RandomForestClassifier(n_jobs=-1, class_weight='balanced', max_depth=5)
 
     # define Boruta feature selection method
     feat_selector = BorutaPy(rf, n_estimators='auto', verbose=2, random_state=1)