There is a linear unit that is trained with the Delta rule for a problem of binary classification with 2 entries. After a period of time with learning rate 0.1, the values of the weights are as follows: Wo = 0.4 W1 = 0.3 W2 = 0.6.
Consider that at the next moment we have the training example: (x1,x2,y) = (0,1,-1), and after that the test stops.
How would be classified the new unknown case (x1,x2) = (1,1) ?
Give explanation of your answer.
Thank you