Classifier Method for Positive Class
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Questions and Answers

What is the primary focus of the user in a specific classification scenario?

  • A single class referred to as the Positive class (correct)
  • The majority class in the dataset
  • All classes in the dataset
  • The class with the highest probability estimate
  • What is the purpose of ranking examples by their probability estimate?

  • To evaluate the performance of the classification method
  • To identify the most common class label
  • To assign a class label to each example
  • To draw a lift curve and compare it to the random line (correct)
  • How is the lift curve drawn?

  • By plotting the probability estimate against the class label
  • By comparing the probability estimate of each example to the random line
  • By dividing the ranked examples into several bins and counting the actual Positive examples in each bin (correct)
  • By calculating the accuracy of the classification method
  • What is the evaluation of the classification method based on?

    <p>A test set with labeled examples</p> Signup and view all the answers

    What does a lift curve above the random line indicate?

    <p>The classification method is performing better than random</p> Signup and view all the answers

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