Question $8$ suppose you have trained a perceptron algorith on a binary classification using the following datasetX$1$ X$2$ Y$-1-110\mathrm{.}5-0\mathrm{.}5110\mathrm{.}50-0\mathrm{.}510$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 perceptronw$0=0$ w$1=-1$ w$2=-2$w$0=0$ w$1=1$ w$2=2$w$0=1$ w$1=1$ w$2=2$w$0=1$ w$1=-1$ w$2=-2$