Suppose you have trained a perceptron algorithm on a binary classification problem using the following dataset: x$1$ x$2$ Desired Label $1,1,11,-1,1-1,1,0-1-10$ After training using gradient descent learning, the decision boundary of 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? w$0=0,$w$1=1,$ and w$2=-0\mathrm{.}5$ w$0=1,$w$1=-1,$ and w$2=-0\mathrm{.}5$ w$0=1,$w$1=1,$ and w$2=-0\mathrm{.}5$ w$0=0,$w$1=-1,$ and w$2=-0\mathrm{.}5$