1.Suppose you have trained an SVM classifier with a Gaussian kernel, and it learned the following decision boundary on the training set:
正確答案爲C
2.
正確答案爲第二個圖，又瘦又尖那個。
正確答案爲BD
Suppose you have a dataset with n = 10 features and m = 5000 examples.
After training your logistic regression classifier with gradient descent, you find that it has underfit the training set and does not achieve the desired performance on the training or cross validation sets.
Which of the following might be promising steps to take? Check all that apply.
A.Use an SVM with a Gaussian Kernel.
B.Increase the regularization parameter \lambdaλ.
C.Create / add new polynomial features.
D.Use an SVM with a linear kernel, without introducing new features.
正確答案爲AC
總結：這周的測驗題不是太難，複習一下PPT的內容就能做了。