DM week 3

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  • Created by: mariolarc
  • Created on: 06-05-21 08:44

1. What is the true positive rate?

  • The number of instances in a class.
  • The number of correctly predicted instances for a class.
  • The number of correctly predicted instances of a class divided by by the number of instances in this class.
  • The number of correctly predicted instances of a class divided by the number of incorrectly predicted instance for this class.
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Other questions in this quiz

2. What is 1R?

  • An algorithm for updating the weights of a perceptron.
  • An algorithm for computing classification rules, based on class frequencies of individual attributes.
  • A purity measure for decision trees.
  • The true positive rate.

3. What is purity?

  • A measure of how accurate a covering rule is.
  • A measure of how many different classes appear in a node of a decision tree.
  • A measure of how many instances are correctly classified by a decision tree.
  • A measure of how representative a training set is.

4. Which of the following measures the relationship between true positives and false positives for different subsets of instances in the data set?

  • Confusion matrix.
  • Lift.
  • Receiver Operating Characteristic (ROC)
  • Cohen's Kappa.

5. What is stratification?

  • The process of selecting attributes for building a decision tree.
  • The process of randomly sampling data to create training and test sets.
  • The process of computing true/false positives and true/false negatives.
  • The process of decreasing the misclassification rate in the training set.

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