Data Mining Course Quiz

10 Questions | Total Attempts: 11138

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Data Mining Course Quiz

Play this fantastic Data mining course quiz. Data is an essential aspect of information gathering for assessment, and thus data mining is essential. The quiz below will give you a better understanding of data mining and how to go about it. Take it up.


Questions and Answers
  • 1. 
    The problem of finding hidden structures in unlabeled data is called...
    • A. 

      Supervised learning

    • B. 

      Unsupervised learning

    • C. 

      Reinforcement learning

  • 2. 
    The task of inferring a model from labeled training data is called...
    • A. 

      Unsupervised learning

    • B. 

      Supervised learning

    • C. 

      Reinforcement learning

  • 3. 
    Some telecommunication company wants to segment their customers into distinct groups in order to send appropriate subscription offers. This is an example of...
    • A. 

      Supervised learning

    • B. 

      Data extraction

    • C. 

      Seriation

    • D. 

      Unsupervised learning

  • 4. 
    Self-organizing map is an example of...
    • A. 

      Unsupervised learning

    • B. 

      Supervised learning

    • C. 

      Reinforcement learning

    • D. 

      Missing data imputation

  • 5. 
    You are given data about seismic activity in Japan, and you want to predict the magnitude of the next earthquake. This is in an example of...
    • A. 

      Supervised learning

    • B. 

      Unsupervised learning

    • C. 

      Seriation

    • D. 

      Dimensionality reduction

  • 6. 
    Assume you want to perform supervised learning and to predict the number of newborns according to the size of the storks' population (http://www.brixtonhealth.com/storksBabies.pdf). It is an example of...
    • A. 

      Classification

    • B. 

      Regression

    • C. 

      Clustering

    • D. 

      Structural equation modeling

  • 7. 
    Discriminating between spam and ham e-mails  is a classification task, true or false?
    • A. 

      True

    • B. 

      False

  • 8. 
    In the example of predicting the number of babies based on storks' population size, the number of babies is...
    • A. 

      Outcome

    • B. 

      Feature

    • C. 

      Attribute

    • D. 

      Observation

  • 9. 
    It may be better to avoid the metric of ROC curve as it can suffer from accuracy paradox.
    • A. 

      True

    • B. 

      False

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