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:
YOU CAN open
Turn on Multi Window
1. Select the Recent apps key. 2. Select the desired app icon, then select Open in split screen view.
Explanation:
PLEASE MARK ME BRAINLIEST IF MY ANSWER IS CORRECT
Answer:
e.
public static void example(int x, in y)
Explanation:
The header comprises the access modifiers (public static), return type (void), method name (example), and parameters with the type of variable before the name of the parameters (int a, int b).
Answer:
First: work out the difference (increase) between the two numbers you are comparing.
Increase = New Number - Original Number.
Then: divide the increase by the original number and multiply the answer by 100.
% increase = Increase ÷ Original Number × 100.
Explanation:
Answer:
Exit the tool and obtain the system's serial number and UUID from HP Computer Setup utility.