Other questions in this quiz

2. Which of the following statements about linear regression is true?

  • Predicts a numeric output from a numeric input.
  • Predicts a nominal output from a nominal input.
  • Predicts a numeric output from a nominal input.
  • Predicts a nominal output from a numeric input.

3. Which of the following statements about perceptrons and neural networks is true?

  • The activation function of a neural network can be decided when building the model.
  • The observed and true values of target variables are added to compute the score of a neural network.
  • To make predictions with a given neural network, we perform backpropagation.
  • A perceptron is a multilayered neural network.

4. Which of the following statements about correlation and causation is true?

  • They always occur together.
  • They never occur together.
  • They sometimes occur together.
  • None of the other choices is true.

5. Which of the following statements about 10-fold cross-validation is false?

  • Each fold is used exactly once for training.
  • Computes 10 different models.
  • Divides the instances into 10 disjoint groups of roughly equal size.
  • Estimates the error rate of a regression model on new instances which have not been used for training.

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