A dataset with n = 7 observations in p = 2 dimensions is provided as follows. For each observation, there is an associated class label (Red or Blue). If we train this dataset with a maximal margin cla...

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A dataset with n = 7 observations in p = 2 dimensions is provided as follows. For each observation, there is an associated class label (Red or Blue). If we train this dataset with a maximal margin cla...

A dataset with n = 7 observations in p = 2 dimensions is provided as follows. For each observation, there is an associated class label (Red or Blue). If we train this dataset with a maximal margin classifier, how many support vectors will be used in this classifier? Answers 2,3,4,5

observation	X1	X2	Y
1	2	2	RED
2	2	3	RED
3	2	4	RED
4	4	4	REd
5	4	1	BLUE
6	3	1	BLUE
7	4	2	BLUE

math Statistics-And-Probability

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Answer 1

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Answer 2

A dataset with n = 7 observations in p = 2 dimensions is provided as follows. For each observation, there is an associated class label (Red or Blue). If we train this dataset with a maximal margin cla...

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A dataset with n = 7 observations in p = 2 dimensions is provided as follows. For each observation, there is an associated class label (Red or Blue). If we train this dataset with a maximal margin cla...

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Add Answer to: A dataset with n = 7 observations in p = 2 dimensions is provided as follows. For each observation, there is an associated class label (Red or Blue). If we train this dataset with a maximal margin cla...

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A dataset with n = 7 observations in p = 2 dimensions is provided as follows. For each observation, there is an associated class label (Red or Blue). If we train this dataset with a maximal margin cla...