Lasso regression model.py

#import lasso 
from sklearn.linear_model import Lasso 

#fit on training dataset 
ls = Lasso(alpha=0.08) 
ls.fit(X_train, y_train) 

#accuracy 
print('Training score =', ls.score(X_train, y_train)) 
print('Testing score=', ls.score(X_test, y_test)) 

#RMSE 
pred = lasso.predict(X_test) 
rmse = np.sqrt(mean_squared_error(y_test, pred)) 
print('RMSE =', rmse)