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What is the output? matrix = [[0, 1], [2, 3], [4, 5]]  for row in matrix:      print(row[1], end=’ ‘)

What is the output  print(10 // 3)

What is the output? lst = [21, 22, 23]  print(lst[0])

What is the output? matrix = [[1, 2, 3], [4, 5, 6]]  total = 0  for row in matrix:      for val in row:          total += val  print(total)

What is the output? a = 10  if a < 5:      print("Low")  elif a == 10:      print("Equal")  else:      print("High")

What is the output of the following code? print(3 + 4 * 2)

What is the output? import math  print(round(math.pi, 2))

Suppose your model achieves 80% accuracy on training data but only 91% on testing data. What does this suggest? How would you diagnose and fix the issue? Name at least two specific techniques you would apply.

Section 3: Code-Based Questions (10 points; 5 points each)

Suggest at least two suitable algorithms for this problem and justify your choices. Discuss the rationale behind your choices, comparing at least two algorithms.