Quiz 2 - Question 1

You trained the weights of a single-neuron classifier with a sigmoid activation function that predicts either the token “rice” (positive class) or the token “cake” (negative class) from a two-dimensional prompt embedding. The weights that have been learned by the classifier are represented by the vector w = (1,1). The bias term is 0. You use this classifier to predict the class for the data point (4,6). Which of the following statements is true?