To be honest I feel like it’s B that’s looks and seems the most correct to me
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:
public static void printDottedLine()
{
System.out.println(".....");
}
Explanation:
The above written code is in JAVA and it is the method definition of the method mentioned in the question.Since the method returns nothing hence it's return type is void and it does not have any arguments hence there is nothing written in the parenthesis.In JAVA System.out.println is used for standard output and trminates them by newline.
