Coursera Machine Learning 第三周 quiz Regularization
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You are training a classification model with logistic
regression. Which of the following statements are true? Check
all that apply.
答案B
Introducing regularization to the model always results in equal or better performance on the training set.
Adding a new feature to the model always results in equal or better performance on the training set.
Adding many new features to the model helps prevent overfitting on the training set.
Introducing regularization to the model always results in equal or better performance on examples not in the training set.
2.Suppose you ran logistic regression twice, once with
parameters
think corresponds to
答案A
Which of the following statements about regularization are
true? Check all that apply.
答案B
Using a very large value of
Using too large a value of
Because regularization causes
Because logistic regression outputs values
4.In which one of the following figures do you think the hypothesis has overfit the training set?
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