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MMLU-Pro / 10488 / For a neural network, which one of these structural assumptions is the one that…

Problem

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question

For a neural network, which one of these structural assumptions is the one that most affects the trade-off between underfitting (i.e. a high bias model) and overfitting (i.e. a high variance model):

category

computer science

options

  1. The number of input nodes
  2. The type of loss function used
  3. The type of optimization algorithm used
  4. The number of hidden nodes
  5. The initial choice of weights
  6. The number of layers in the network
  7. The choice of activation function
  8. The use of a constant-term unit input
  9. The learning rate
  10. The number of output nodes

src

ori_mmlu-machine_learning

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