Cse 7 Ml Quiz 1

10 Questions | Total Attempts: 128

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Cse 7 Ml Quiz 1

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Questions and Answers
  • 1. 
    The most widely used metrics and tools to assess a classification model are:
    • A. 

      Confusion Matrix

    • B. 

      Cost-sensitive accuracy

    • C. 

      Area under the ROC curve

    • D. 

      All of the above

  • 2. 
    Which of the following is a good test dataset characterstic?
    • A. 

      Large enough to yield meaningful results

    • B. 

      Is representative of the dataset as a whole

    • C. 

      Both properties

    • D. 

      None of these

  • 3. 
    Which of the folllowing is an example of feature extraction?
    • A. 

      Constructing bag of words vector from an email

    • B. 

      Applying PCA projects to a large high-dimensional data

    • C. 

      Removing stopwords in a sentence

    • D. 

      All of the above

  • 4. 
    Which of the following is true about Naive Bayes ?
    • A. 

      Assumes that all the features in a dataset are equally important 

    • B. 

      Assumes that all the features in a dataset are independent

    • C. 

      Both Properties

    • D. 

      None of these

  • 5. 
    Which of the following sentence is FALSE regarding regression?
    • A. 

      It relates inputs to outputs

    • B. 

      It is used for prediction

    • C. 

      It may be used for interpretation

    • D. 

      It discovers causal relationships

  • 6. 
    Factors which affect the performance of learner system does not include
    • A. 

      Representation scheme used

    • B. 

      Training scenario

    • C. 

      Type of feedback

    • D. 

      Good data structures

  • 7. 
    Which of the following is characteristic of best machine learning method ?
    • A. 

      Fast

    • B. 

      Accuracy

    • C. 

      Scalable

    • D. 

      All of the above

  • 8. 
    A multiple regression model has
    • A. 

      Only one independent variable

    • B. 

      More than one dependent variable

    • C. 

      More than one independent variable

    • D. 

      None of the above

  • 9. 
    Another name for output attribute is
    • A. 

      Predictive variable

    • B. 

      Independent Variable

    • C. 

      Estimated variable

    • D. 

      Dependent variable

  • 10. 
    Logistic Regression is a       _____ regression  technique that is used to model data having a  ______ outcome.
    • A. 

      Linear, numeric

    • B. 

      Non-linear, numeric

    • C. 

      Linear, Binary

    • D. 

      Non-linear, Binary

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