Answer:
Theoretically Yes
Explanation:
The data given is linearly separable. So, the subset of the data will also be linearly separable. And it will pass for all training dataset. However, you should definitely never expect such thing In any real-life problem because the data is noisy, for a bazilion of reasons, so no model is guaranteed to perform perfectly.
Answer:
i think its C.
if its wrong i'm truly sorry
Explanation:
Answer:
Identify the location of the college stand in advance.
Explanation:
One way to save time and get to the colleges that you are most interested in at a college fair is to find out in advance the information about the fair, the colleges that are participating and from that pick the more interesting ones and identify the location of their stands. Like that when you arrive to the fair you can go directly to them and find them easily which will save you a lot of time as you won't be walking around the whole place to find them.