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Suppose you have trained a perceptron on a binary classification with the folowing dataset: X 1 : - 1 , 0 . 5 , 1

Suppose you have trained a perceptron on a binary classification with the folowing dataset:
X1:-1,0.5,1,-0.5
x2:-1,-0.5,0.5,1
Y:1,1,0,0
After training the decision boundary of the perceptron is a straight line passing through the origin that separates the positive and negative examples. the activation function is (if v>=0, y=1; else y=0) which of the following options represents the trained weights of this perceptron?

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