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Home » Quiz » Exploratory Data Analysis Quiz

Can feature selection improve the computational efficiency of a machine learning model?

Difficulty level
  • Depends on the dataset
  • Depends on the model
  • No
  • Yes
Yes, feature selection can improve the computational efficiency of a machine learning model by reducing the number of features it needs to process.
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Exploratory Data Analysis Quiz
Quiz
You're working with a dataset where two features, 'age' and 'years of experience', have a high correlation. Which problem does this situation exemplify?
Which type of missing data could potentially introduce the most bias into an analysis if not properly addressed?

Related Quiz

  • In a scatter plot, outliers often appear as points that are far removed from the ___________.
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  • What are some of the major limitations of Matplotlib that Plotly and Seaborn help to overcome?
  • You're working with a dataset where two features, 'age' and 'years of experience', have a high correlation. Which problem does this situation exemplify?
  • What type of bias could be introduced by mean/median/mode imputation, particularly if the data is not missing at random?

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