Other questions in this quiz

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

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

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

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

4. Given the linear regression equation y = w_0 + w_1*x_1 + w_2*x_2, what do the terms x_1 and x_2 represent?

  • Weights.
  • Labels.
  • Attribute values.
  • Residuals.

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

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

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