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Questions and Answers
What is the purpose of validation data?
What is the purpose of validation data?
- To evaluate the model and improve hyperparameters during training (correct)
- To provide the model with initial parameters
- To train the model on unseen data
- To test the model after it has been completely trained
When does the model use the testing data?
When does the model use the testing data?
- After it has been completely trained to provide unbiased evaluation (correct)
- To set the hyperparameters before training
- To fit the model on the training dataset
- During the initial training phase to learn from
What does the training data help the model to do?
What does the training data help the model to do?
- Predict values without seeing the actual output
- Learn from the experiences it is fed during training (correct)
- Set the initial parameters for the model
- Evaluate the model's performance
What happens when the model is fit on the training dataset?
What happens when the model is fit on the training dataset?
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How is the testing data used to evaluate the model?
How is the testing data used to evaluate the model?
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