Question: 28of 4000:17Select the correct statement related to Validation and Test setAA validation set is used to tune the hyperparameters of a model, while a test set is used to evaluate its performanceBA validation set is used to evaluate the performance of a model in deployment, while a test set is used to evaluate its performance after trainingCA validation set and a test set are the same thingDA validation set is not necessary in machine learning
Question
Question: 28of 4000:17Select the correct statement related to Validation and Test setAA validation set is used to tune the hyperparameters of a model, while a test set is used to evaluate its performanceBA validation set is used to evaluate the performance of a model in deployment, while a test set is used to evaluate its performance after trainingCA validation set and a test set are the same thingDA validation set is not necessary in machine learning
Solution
The correct statement related to Validation and Test set is A: A validation set is used to tune the hyperparameters of a model, while a test set is used to evaluate its performance.
Here's why:
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A validation set is a set of examples used to tune the parameters (i.e., architecture, not weights) of a classifier, for example to choose the number of hidden units in a neural network.
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A test set is a set of examples used only to assess the performance (i.e., generalization) of a fully specified classifier. This is the dataset used to provide an unbiased evaluation of a final model fit on the training dataset.
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Option B is incorrect because a validation set is not used to evaluate the performance of a model in deployment.
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Option C is incorrect because a validation set and a test set are not the same thing. They serve different purposes in the model development process.
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Option D is incorrect because a validation set is necessary in machine learning to tune the model's hyperparameters and prevent overfitting on the training data.
Similar Questions
What is the primary purpose of a validation set in the context of model training?Select one:a. To test the model on unseen datab. To tune hyperparameters and evaluate model performance
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Regarding splitting datasets into training, validation, and test partitions, which ofthe following statements is true, if any?(i) The validation set is used multiple times to choose the best value forhyperparameters.(ii) The test set is used only once to determine the performance on unseen data.(iii) Improving performance on the validation set always improves performance onthe test set.
Question 6Which of the following statements about datasets used in Machine Learning is NOT true?1 pointTesting data is data the model has never seen before and is used to evaluate how good the model isTraining subset is the data used to train the algorithm Training data is used to fine-tune algorithm’s parameters and evaluate how good the model isValidation data subset is used to validate results and fine-tune the algorithm's parameters
What is the purpose of a validation set in machine learning?
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