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Machine Learning Practice · Quiz 1 · 7 Jul 2024 · May 2024 term

Question 23: What is the purpose of the tol parameter of the SGDRegre…

Question 23

+2 marksOne correct option

What is the purpose of the tol parameter of the SGDRegressor() in the given code below?

python
from sklearn.linear_model import SGDRegressor
model = SGDRegressor(early_stopping=True,
                     validation_fraction=0.2,
                     tol=0.001,
                     n_iter_no_change=5)
model.fit(X, y)
  1. A

    It controls the learning rate of the stochastic regressor during training.

  2. B

    It determines the maximum number of iterations for the training process.

  3. C

    It defines the fraction of the validation set used for early stopping.

  4. D

    It specifies the tolerance level for early stopping based on the change in the validation error.

Show answer

Correct answer

  • D

    It specifies the tolerance level for early stopping based on the change in the validation error.

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Question 23 of 24 in the IIT Madras BS Machine Learning Practice (MLP) Quiz 1 paper sat on 7 Jul 2024, in the May 2024 term (IIT M DIPLOMA AN EXAM QDD2 7 July 2024). It carries 2 marks.

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