Which ONE of the following combinations of Training, Validation, Testing data is used during the process of learning/creating the model?

Question

Options

• ATraining data - validation data - test data
• BTraining data - validation data
• CTraining data - test data
• DValidation data - test data

• A
  70% (33)
• B
  9% (4)
• C
  17% (8)
• D
  4% (2)

Explanation

The process of developing a machine learning model typically involves the use of three types of Training Data:This is used to train the model, i.e., to learn the patterns and relationships in the Validation Data:This is used to tune the model's hyperparameters and to prevent overfitting during the training process. Test Data:This is used to evaluate the final model's performance and to estimate how it will perform on unseen data. Let's analyze each option: This option correctly includes all three types of datasets used in the process of creating and validating a model. The training data is used for learning, validation data for tuning, and test data for final evaluation. This option misses the test data, which is crucial for evaluating the model's performance on unseen data after the training and validation phases. This option misses the validation data, which is important for tuning the model and preventing overfitting during training. This option misses the training data, which is essential for the initial learning phase of the model. Therefore, the correct answer is A because it includes all necessary datasets used during the process of learning and creating the model: training, validation, and test data.

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