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What is the purpose of using a validation set during model selection?

Practice Questions

Q1
What is the purpose of using a validation set during model selection?
  1. To train the model
  2. To test the model's performance on unseen data
  3. To tune hyperparameters
  4. To evaluate the model's accuracy

Questions & Step-by-Step Solutions

What is the purpose of using a validation set during model selection?
  • Step 1: When building a machine learning model, we need to choose the best settings (hyperparameters) for it.
  • Step 2: We split our data into three parts: training set, validation set, and test set.
  • Step 3: We use the training set to teach the model how to make predictions.
  • Step 4: We use the validation set to test different settings and see which ones work best.
  • Step 5: After finding the best settings using the validation set, we can then test the final model on the test set to see how well it performs.
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