Quiz - 23/24 Flashcards

1
Q

If the accuracy is on the training set is high, but the accuracy on the test set is low, which of the following strategies are reasonable?

A
  1. Use a larger training set
  2. Increase regularisation
  3. Increase dropout
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2
Q

What datasets are suited for kernel methods?

A

Datasets with small n and large p

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3
Q

Which of these is the best tool to decide which threshold to use on a Logistic Regression binary classifier?

A

ROC

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4
Q

Which of the following statements are correct?

  1. GD is guaranteed to converge to global or local min.
  2. Mini-batch size has no influence on convergence speed.
  3. Learning rate is high, conv. will be faster.
  4. Learning rate high, GD might overshoot.
A

3, 4

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5
Q

What does a high value of logit mean in logistic regression

A
  1. Observation is far from decision boundary.
  2. Likelihood for the observation to belong to class 1 is high.
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6
Q

What is a unit?

A

A unit is a differentiable function.

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7
Q

What is an artificial neuron?

A

A linear combination of i/p followed by an activation function.

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8
Q

When is a neural network ‘deep’

A

A neural network is deep if it is made of, at least, 2 hidden layers with non-linear activations.

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9
Q
A
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