5 Questions
What is the purpose of validation data?
To evaluate the model and improve hyperparameters during training
When does the model use the testing data?
After it has been completely trained to provide unbiased evaluation
What does the training data help the model to do?
Learn from the experiences it is fed during training
What happens when the model is fit on the training dataset?
It learns from the data it sees
How is the testing data used to evaluate the model?
By comparing the model's predictions with the actual output in the testing data
Test your knowledge about machine learning training and validation data with this quiz. Explore the concepts of training and validation data, their roles in model development, and their impact on hyperparameters.
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