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Machine Learning Practice · Quiz 1 · 23 Feb 2025 · January 2025 term

Question 3: What is the purpose of the tol parameter in the fit metho…

Question 3

+2 marksOne correct option

What is the purpose of the tol parameter in the fit method of the stochastic regressor?

python
from sklearn.linear_model import SGDRegressor
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_squared_error
from sklearn.datasets import load_breast_cancer


X,y = load_breast_cancer(return_X_y=True)


model = SGDRegressor(early_stopping=True,
                     validation_fraction=0.2,
                     tol=0.001,
                     n_iter_no_change=5)


X_train, X_test, y_train, y_test = train_test_split(X, y,
                                                    test_size=0.2,
                                                    random_state=42)


model.fit(X_train, y_train)
y_pred = model.predict(X_test)
mse = mean_squared_error(y_test, y_pred)
  1. A

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

  2. B

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

  3. C

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

  4. D

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

Show answer

Correct answer

  • A

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

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Question 3 of 20 in the IIT Madras BS Machine Learning Practice (MLP) Quiz 1 paper sat on 23 Feb 2025, in the January 2025 term (IIT M DIPLOMA AN EXAM QDD2 23 Feb 2025). It carries 2 marks.

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