Question 17
Go through the code block given below:
from sklearn.preprocessing import PolynomialFeaturesfrom sklearn.pipeline import Pipelinefrom sklearn.preprocessing import StandardScalerfrom sklearn.linear_model import RidgeCVfrom sklearn.datasets import load_diabetesdiabetes = load_diabetes(as_frame=True)train_X= diabetes.datatrain_y= diabetes.target
lf= np.logspace(-5, 0, num=6)
reg= Pipeline([("poly", PolynomialFeatures(degree=2)), ("feature_scaling", StandardScaler()) ])
ridge= RidgeCV(alphas=lf,scoring= None,fit_intercept = False)results = ridge.fit(train_X, train_y)print(results.intercept_)Which of the following can’t be the correct output of the given code block?
0.0
0.01
0.1
1