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

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

A. Training data – validation data – test data

B. Training data – validation data

C. Training data • test data

D. Validation data – test data

View Answer

Answer: A

Explanation:

The process of developing a machine learning model typically involves the use of three types of datasets:

Training Data: This is used to train the model, i.e., to learn the patterns and relationships in the data.

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:

A. Training data – validation data – test data

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.

B. Training data – validation data

This option misses the test data, which is crucial for evaluating the model’s performance on unseen data after the training and validation phases.

C. Training data – test data

This option misses the validation data, which is important for tuning the model and preventing overfitting during training.

D. Validation data – test data

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​.