[公开课][coursera][Stanford] Machine Learning (Week 6) quiz讨论

[Coursera]Machine Learning #6 - 2016-12-09@Stanford

最近在刷Stanford的Machine learning，在week6有一个quiz不太懂，请教大家一下。

5.Which of the following statements are true? Check allthat apply.

答案BCD

A. We always prefer models with high variance (overthose with high bias) as they will able to better fit the training set.

B. If a learning algorithm is suffering from highbias, only adding more training examples may not improve the testerror significantly.

C. When debugging learning algorithms, it is useful toplot a learning curve to understand if there is a high bias or high varianceproblem.

D. If a learning algorithm is suffering from highvariance, adding more training examples is likely to improve the test error.

D选项，增加training examples为什么会增加testerror呢？应该是可以降低error on the test set才对啊。。。求解

improve the error = decrease the error

fanghao 发表于 2016-12-9 13:37
improve the error = decrease the error

原来是我英语学得不好

想问一下这课是只教怎么用octave还是也教怎么用matlab啊，我刚上两节课，看他虽然推荐这两个，但是没教matlab，不知道后面会不会教？