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What is the purpose of using a training and test set in linear regression?

Practice Questions

Q1
What is the purpose of using a training and test set in linear regression?
  1. To increase the size of the dataset
  2. To validate the model's performance on unseen data
  3. To reduce the complexity of the model
  4. To improve the accuracy of predictions

Questions & Step-by-Step Solutions

What is the purpose of using a training and test set in linear regression?
  • Step 1: Understand that in linear regression, we want to create a model that predicts outcomes based on input data.
  • Step 2: Split your data into two parts: a training set and a test set.
  • Step 3: Use the training set to teach the model how to make predictions.
  • Step 4: After training, use the test set to see how well the model predicts outcomes it hasn't seen before.
  • Step 5: This helps us check if the model is good at generalizing to new data, rather than just memorizing the training data.
  • Step 6: If the model performs well on the test set, it means it is likely to work well on new, unseen data.
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