Accuracy: 90%, Precision: 50%, Recall: 80%, F1-score: 62% Question 8 Suppose you have trained a perceptron algorithm on a binary classification problem using the following dataset: X1X2Y 1 1 1 1 - 10 110 1 - 1 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 perceptron? w0=0,w1=1, and w2=1 w0=0,w1=1, and w2=1 w0=1,w1=1, and w2=1 w0=1w1=1, and w2=1