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Machine Learning Practice · Quiz 1 · 16 Jul 2023 · May 2023 term

Question 15: How many models with different combinations of parameter…

Question 15

+2 marksOne correct option

How many models with different combinations of parameter values will get trained in the following code?

python
from sklearn.model_selection import GridSearchCV
from sklearn.linear_model import SGDRegressor


params = [
    {'alpha': [0.001,0.01,0.1,1],'learning_rate': ['constant','optimal']},
    {'warm_start':[True], 'alpha':
      [0.0001,0.001],'learning_rate':['constant','invscaling']}]


grid= GridSearchCV(estimator= SGDRegressor(),
                   param_grid = params,
                   cv= 2,
                   scoring = 'neg_mean_squared_error',
                   return_train_score=True
                   )


grid.fit(X_train,y_train)
  1. A

    10

  2. B

    12

  3. C

    14

  4. D

    16

Show answer

Correct answer

  • B

    12

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Question 15 of 24 in the IIT Madras BS Machine Learning Practice (MLP) Quiz 1 paper sat on 16 Jul 2023, in the May 2023 term (IIT M DIPLOMA AN2 EXAM QPD2 16 JULY 2023). It carries 2 marks.

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