2. We wish to classify four students' outcomes as pass or fail in a course during the online semester. We have 4 training samples as given in Table 1. Table 1: Perceptron data Attributes Student...

Extracted text: 2. We wish to classify four students' outcomes as pass or fail in a course during the online semester. We have 4 training samples as given in Table 1. Table 1: Perceptron data Attributes Student Outcome Attending tively (i) (ii) (iii) (iv) ac- Submitting assignments Watching recordings the 1 1 -1 Pass -1 -1 -1 Fail -1 1 - 1 Fail 1 -1 -1 Pass Train a perceptron to fully classify them and show all steps until convergence. Choose the learning rate to be 1 and initial weights to be [0.25, 0.25, 0.25]. Analyze the final converged weight and what does it say? If you have got an attribute set of (-1, 1, 1], whether you will pass or fail?