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Free C1000-059 Exam Braindumps (page: 3)

Page 2 of 16
PDF with 62 Questions

Which statement is true in the context of evaluating metrics for machine learning algorithms?

  1. A random classifier has AUC (the area under ROC curve) of 0.5
  2. Using only one evaluation metric is sufficient
  3. The F-score is always equal to precision
  4. Recall of 1 (100%) is always a good result

Answer(s): B



When should median value be used instead of mean value for imputing missing data?

  1. for skewed data
  2. for real numbers
  3. for normally distributed data
  4. for large data sets

Answer(s): D



Given the following matrix multiplication:



What is the value of P?

  1. ­9
  2. 17
  3. 12
  4. ­7

Answer(s): C


Reference:

https://www.mathsisfun.com/algebra/matrix-multiplying.html



A neural network is composed of a first affine transformation (affine1) followed by a ReLU non- linearity, followed by a second affine transformation (affine2).

Which two explicit functions are implemented by this neural network? (Choose two.)

  1. y = affine1(ReLU(affine2(x)))
  2. y = max(affine1(x), affine2(x))
  3. y = affine2(ReLU(affine1(x)))
  4. y = affine2(max(affine1(x), 0))
  5. y = ReLU(affine1(x), affine2(x))

Answer(s): C,D






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