Scikit learn ridge classifier

from sklearn.linear_model import RidgeClassifier
clf = RidgeClassifier().fit(X, y)
clf.fit(X, y) #We can fit Ridge Classifier to the dataset in this way too
clf.score(X, y) #Return the mean accuracy on the given test data and labels
cfl.predict(X) #Return the predictions

#Classification Metrics
#Accuracy Score
from sklearn.metrics import accuracy_score
accuracy_score(X, y)

#If you like answer, please vote -;)

Similar codes

0 vote202 views1 answer
Python tex box
Python
0 vote204 views1 answer
Static instance and local variables in python
Python
-1 vote187 views1 answer
ImportError: cannot import name 'FieldDoesNotExist' from 'django.db.models.fields' (C:\Users\Admin\AppData\Local\Programs\Python\Python39\lib\site-packages\django\db\models\fields\__init__.py)
Python
0 vote217 views1 answer
Expected a list of items but got type int . django
Python Django
10 votes186 views1 answer
Django new static files directory
Python
1 vote217 views1 answer
Django filter after annotate
Python
6 votes213 views2 answers
Python min in dictionary
Python
-3 votes204 views3 answers
Pandas.duplicated
Python
0 vote196 views1 answer
Pycaw , Python Audio Control Lib
Python
0 vote225 views1 answer
Def identity_block(X, f, filters, training=True, initializer=random_uniform):
Python