Optimal alpha jupyter

ridge2 = Ridge(alpha = 4, normalize = True)
ridge2.fit(X_train, y_train)             # Fit a ridge regression on the training data
pred2 = ridge2.predict(X_test)           # Use this model to predict the test data
print(pd.Series(ridge2.coef_, index = X.columns)) # Print coefficients
print(mean_squared_error(y_test, pred2))          # Calculate the test MSE

Source: science.smith.edu

Similar codes

25 votes197 views4 answers
Pandas count the number of unique values in a column
Python
0 vote211 views1 answer
Extrapolate python
Python
41 votes182 views6 answers
Pd.read_csv
Python
0 vote183 views1 answer
How to use fastapi ApiClient with pytest
Python
12 votes176 views3 answers
Convert pandas dataframe to dict with a column as key
Python
0 vote216 views2 answers
Python assert
Python
8 votes213 views2 answers
How to earse special chrat¥cter from string in python
Python
1 vote191 views1 answer
Python num perfect squares
Python
0 vote232 views1 answer
Python generate fibonacci series
Python
22 votes211 views6 answers
How to use dictionary in python
Python