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 vote319 views1 answer
Python program to switch first and second characters in a string
Python
24 votes184 views3 answers
Flask vs django
Python
5 votes172 views1 answer
Python - convert index to a column
Python
0 vote195 views1 answer
Pandas drop row from a list of vlaue
Python
2 votes176 views1 answer
Discard vs remove python
Python
1 vote195 views1 answer
Addition of array in python with input
Python
2 votes179 views1 answer
Urllib.request headers
Python
11 votes180 views2 answers
Add reaction discord.py
Python
3 votes137 views1 answer
Generate matrix python
Python
12 votes171 views6 answers
Remove rows from dataframe
Python