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Training data is used to train the model; validation data is used to obtain what?1 pointA test of how good the model performs in the real world HyperparametersThe reduced model variance

Question

Training data is used to train the model; validation data is used to obtain what?1 pointA test of how good the model performs in the real world HyperparametersThe reduced model variance

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Solution

Validation data is used to obtain hyperparameters. It helps in tuning the parameters of the model and provides a check on overfitting. It is not used to test how good the model performs in the real world, that's what the test data is for. It also doesn't directly contribute to reducing model variance, that's more related to the model complexity and the amount of training data.

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Question 2Complete the following sentence: The training data is used to fit the model, while the test data is used to:1 pointmeasure the parameters and hyperparameters of the modeltweak the model hyperparameterstweak the model parametersmeasure error and performance of the model

Data used to optimize the parameter settings of a supervised learner model is called ...............(1 Point)TestTrainingValidationNone of the above

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

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

. Differentiate between Training data and Testing Data

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