Machine Learning: Feature Selection and Dimensionality Reduction

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Questions and Answers

What is the primary goal of feature selection in predictive modeling?

  • To visualize high-dimensional data
  • To identify the most relevant features to predict a target variable (correct)
  • To increase the accuracy of the model
  • To reduce the number of features in the dataset

What is the purpose of ranking features based on their chi-squared scores in the filter method?

  • To eliminate the least contributing features
  • To select the top 10 features with the highest scores (correct)
  • To visualize the feature importance
  • To identify the most correlated features

What is the benefit of dimensionality reduction in terms of model performance?

  • It reduces the accuracy of the model
  • It has no impact on model performance
  • It increases the risk of overfitting
  • It mitigates the risk of overfitting (correct)

What is the main advantage of using recursive feature elimination (RFE) in the wrapper method?

<p>It eliminates the least contributing features iteratively (B)</p> Signup and view all the answers

What is a benefit of dimensionality reduction in terms of data analysis?

<p>It reduces the processing time for high-dimensional data (B)</p> Signup and view all the answers

What is a key concern in ensuring individuals' rights in data mining?

<p>Clarifying ownership and control of data (B)</p> Signup and view all the answers

What is a major challenge in anonymizing data?

<p>Balancing anonymization with the risk of re-identification (A)</p> Signup and view all the answers

Which of the following is a crucial aspect of transparency in data mining?

<p>Holding entities accountable for outcomes (B)</p> Signup and view all the answers

What is a primary concern in ensuring fairness in data mining?

<p>Addressing bias in data (B)</p> Signup and view all the answers

What is the main goal of regulatory compliance in data mining?

<p>Adhering to relevant laws and regulations (B)</p> Signup and view all the answers

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