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aniruddha27/Ridge regression model.py

Created March 12, 2020 07:39
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Ridge regression model.py
#import ridge model
from sklearn.linear_model import Ridge
#fit on training data with regularization of 0.3
ridge = Ridge(alpha = 0.3)
ridge.fit(X_train,y_train)
#accuracy
print('Train',ridge.score(X_train,y_train))
print('Test',ridge.score(X_test,y_test))
#RMSE score
pred = ridge.predict(X_test)
rmse = np.sqrt(mean_squared_error(y_test,pred))
print('rmse',rmse)
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