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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.

What metrics would you choose to evaluate model performance in this financial setting? Explain the significance of false positives and false negatives in this context.