Consider a binary classification problem of an instance space from the Cartesian

plane $($i$.$e$.,x=R)$ and the training data in the table, on the right. Give the weights

for a single$-$layer perceptron $($with no activation function$)$ that correctly classifies

this training data. Show me how your classifier would classify hat$(x)=[0,2].$

Hint: Sketching the points will help suggest where the decision surface might go$.$