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. Student Outcome the Table 1: Perceptron data Attributes ac- Submitting Watching assignments recordings 1 - 1 -1 -1 1 -1 -1 -1 Attending tively 1 -1 -1 (i) (ii) Pass Fail Fail Pass (iv) 1 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