What is the primary goal of feature engineering in machine learning?

Practice Questions

Q1
What is the primary goal of feature engineering in machine learning?
  1. To increase the size of the dataset
  2. To improve model performance by selecting relevant features
  3. To reduce the complexity of the model
  4. To visualize the data

Questions & Step-by-Step Solutions

What is the primary goal of feature engineering in machine learning?
  • Step 1: Understand that features are the pieces of information used by a machine learning model to make predictions.
  • Step 2: Realize that not all features are equally useful; some may help the model, while others may confuse it.
  • Step 3: Learn that feature engineering involves selecting the most relevant features from the data.
  • Step 4: Know that it also includes transforming features to make them more useful for the model, like scaling or combining them.
  • Step 5: Remember that the primary goal of feature engineering is to improve the performance of the machine learning model.
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