Machine Learning II: Linear Model Selection to Unsupervised Learning
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Questions and Answers

Which method is used for shrinking the estimated coefficients towards zero to reduce variance?

  • Polynomial regression
  • Linear regression
  • Ridge Regression (correct)
  • Best subset selection

    • In machine learning, what is the purpose of subset selection?

  • Removing outliers from the data
  • Selecting the best predictors from a pool (correct)
  • Reducing variance
  • Increasing model complexity

    • Which technique is NOT associated with linear model selection and regularization?

  • K-means clustering (correct)
  • Cross-validation
  • Feature selection
  • Principle Components Analysis (PCA)

    • What does the Lasso method primarily focus on in machine learning?

    <p>Selecting a subset of predictors</p> Signup and view all the answers

    Which technique is used for dimension reduction in machine learning?

    <p>Principle Components Analysis (PCA)</p> Signup and view all the answers

    What is the main benefit of using Ridge Regression over ordinary linear regression?

    <p>Reduction of variance and overfitting</p> Signup and view all the answers

    In machine learning, which method is primarily used for selecting a subset of predictors?

    <p>Best subset selection</p> Signup and view all the answers

    What is the main difference between Ridge Regression and Lasso in the context of machine learning?

    <p>Ridge Regression shrinks all coefficients equally, whereas Lasso can shrink some coefficients to zero.</p> Signup and view all the answers

    Which method in machine learning involves shrinking the estimated coefficients towards zero to reduce model variance?

    <p>Lasso</p> Signup and view all the answers

    What is the primary goal of feature selection techniques in machine learning?

    <p>To identify the most important predictors for the model</p> Signup and view all the answers

    Among the options, which technique is commonly used for unsupervised learning in machine learning?

    <p>Hierarchical clustering</p> Signup and view all the answers

    Which method is employed in machine learning to reduce the number of dimensions in a dataset?

    <p>Principle Components Analysis (PCA)</p> Signup and view all the answers

    'Shrinkage' in machine learning models typically refers to what action?

    <p>Reducing the magnitude of coefficients towards zero</p> Signup and view all the answers

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