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What is the purpose of feature scaling in machine learning?

Practice Questions

1 question
Q1
What is the purpose of feature scaling in machine learning?
  1. To increase the number of features
  2. To improve the performance of the model
  3. To reduce the size of the dataset
  4. To convert categorical data to numerical

Questions & Step-by-step Solutions

1 item
Q
Q: What is the purpose of feature scaling in machine learning?
Solution: Feature scaling improves the performance of the model by ensuring that all features contribute equally to the distance calculations.
Steps: 0

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