AttributeError: 'RidgeClassifier' object has no attribute 'scoef_'
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### Exercise
Change the number of informative features from `n_informative=2̀` to `n_informative=1` in the `make_classification()` procedure, regenerate the data set and fit the classification rule. Interpret now the new decision boundary: are the two variables of equal importance in predicting the class of the data?
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@@ -124,10 +113,13 @@
``` python
#get the documentation for sklearn RidgeClassification object