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Questions and Answers
What is the main goal of feature selection in machine learning?
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?
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?
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?
What is a key advantage of data integration in enterprises?
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What characterizes manual data integration as a technique?
What characterizes manual data integration as a technique?
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What potential issue should data managers be cautious about when using manual data integration?
What potential issue should data managers be cautious about when using manual data integration?
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In data integration, what does combining data from different applications, formats, and locations enable?
In data integration, what does combining data from different applications, formats, and locations enable?
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