Given the following code snippet involving GridSearchCV for hyperparameter tuning of a LinearRegression model: from sklearn.datasets import make_regression from sklearn.linear_model import SGDRegressor from sklearn.model_selection import GridSearchCV X, y = make_regression(n_samples=200, n_features=15, noise=0.5, random_state=24) params = {'penalty': ['l1', 'l2'], 'max_iter': [500, 1000]} reg = GridSearchCV(estimator= SGDRegressor(), param_grid= params, scoring= 'neg_mean_squared_error', refit= True) reg.fit(X, y) Select all statements that are TRUE given this code snippet:

(B) Option figure from the original question paper

(C) Option figure from the original question paper

(A) Option figure from the original question paper

(D) Option figure from the original question paper

Machine Learning Practice · Quiz 1 · 29 Oct 2023 · September 2023 term

Question 16: Given the following code snippet involving GridSearchCV …

Question 16

+3 marksOne or more correct options

Given the following code snippet involving GridSearchCV for hyperparameter tuning of a LinearRegression model:

python

1from sklearn.datasets import make_regression
2from sklearn.linear_model import SGDRegressor
3from sklearn.model_selection import GridSearchCV
4
5X, y = make_regression(n_samples=200,
6                       n_features=15,
7                       noise=0.5,
8                       random_state=24)
9
10params = {'penalty': ['l1', 'l2'], 'max_iter': [500, 1000]}
11reg = GridSearchCV(estimator= SGDRegressor(),
12                   param_grid= params,
13                   scoring= 'neg_mean_squared_error',
14                   refit= True)
15reg.fit(X, y)

Select all statements that are TRUE given this code snippet:

Select all that apply.

Show answer

Correct answers

See the whole paper Take it as a mock test

Question 16 of 23 in the IIT Madras BS Machine Learning Practice (MLP) Quiz 1 paper sat on 29 Oct 2023, in the September 2023 term (IIT M DIPLOMA AN2 EXAM QPD2 29 Oct 2023). It carries 3 marks.

Question 16: Given the following code snippet involving GridSearchCV …

Question 16

More questions from this paper