Common Data Storage Integration Quiz
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Questions and Answers

What is the main goal of feature selection in machine learning?

  • Selecting irrelevant features for prediction
  • Selecting all features in the dataset
  • Choosing features randomly
  • Automatically selecting features that contribute most to the prediction variable (correct)
  • Why is feature selection important for data scientists dealing with high-dimensional data?

  • To increase overfitting
  • To improve accuracy, reduce overfitting, and reduce training time (correct)
  • To decrease accuracy
  • To complicate the models
  • How can irrelevant features in a dataset impact linear algorithms like linear regression?

  • Increase model accuracy
  • Improve model performance
  • Decrease model accuracy (correct)
  • Have no impact on the model
  • What is a key advantage of data integration in enterprises?

    <p>Combining data from different sources to identify correlations and insights</p> Signup and view all the answers

    What characterizes manual data integration as a technique?

    <p>Involves custom code and high control</p> Signup and view all the answers

    What potential issue should data managers be cautious about when using manual data integration?

    <p>Data consistency errors due to manual coding mistakes</p> Signup and view all the answers

    In data integration, what does combining data from different applications, formats, and locations enable?

    <p>Identifying correlations and insights for better business performance</p> Signup and view all the answers

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