4) Consider the 1 dimensional dataset: Y 1 -1 1 X -1 0 2 (Note: x is the feature, and y is the output) State true or false: The dataset becomes linearly separable after using basis expansion with the following basis function (x) = = True O False 2.3
4) Consider the 1 dimensional dataset: Y 1 -1 1 X -1 0 2 (Note: x is the feature, and y is the output) State true or false: The dataset becomes linearly separable after using basis expansion with the following basis function (x) = = True O False 2.3
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please answer clearly wit all steps and diagram
![4) Consider the 1 dimensional dataset:
X
Y
-1
1
0
-1
2
1
(Note: x is the feature, and y is the output)
State true or false: The dataset becomes linearly separable after using basis expansion with the following basis function (x)
O True
O False
=
1
H](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3f4c45da-e21e-4e1e-8510-df5f4d0d758d%2Fb437d173-1a32-4fc3-b7a3-4929b255b04e%2Ffdrprr_processed.png&w=3840&q=75)
Transcribed Image Text:4) Consider the 1 dimensional dataset:
X
Y
-1
1
0
-1
2
1
(Note: x is the feature, and y is the output)
State true or false: The dataset becomes linearly separable after using basis expansion with the following basis function (x)
O True
O False
=
1
H
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