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Question 24 - H13-311_V3.5 discussion

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Which of the following statements about datasets are true?

A.
Testing refers to a process that uses a trained model for prediction. The dataset, which is used for testing, is called a testing set, and each sample is called a test sample.
Answers
A.
Testing refers to a process that uses a trained model for prediction. The dataset, which is used for testing, is called a testing set, and each sample is called a test sample.
B.
A dataset generally has multiple dimensions. In each dimension, events or attributes that reflect the performance or nature of a sample in a particular aspect are called features.
Answers
B.
A dataset generally has multiple dimensions. In each dimension, events or attributes that reflect the performance or nature of a sample in a particular aspect are called features.
C.
In machine learning, a dataset is generally divided into a training set, validation set, and test set.
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C.
In machine learning, a dataset is generally divided into a training set, validation set, and test set.
D.
When it comes to the machine learning process, the validation set and the test set are essentially the same.
Answers
D.
When it comes to the machine learning process, the validation set and the test set are essentially the same.
Suggested answer: A, B, C

Explanation:

In machine learning:

The testing set is a dataset used after training to evaluate the model's performance and generalization ability. Each sample in this set is called a test sample.

A dataset generally has multiple dimensions, with each dimension representing a feature or attribute of the data.

A typical machine learning process divides the data into a training set (to train the model), a validation set (to tune hyperparameters and avoid overfitting), and a test set (to evaluate the model's final performance).

The statement that the validation set and test set are the same is false because they serve different purposes: validation is for hyperparameter tuning, while testing is for final model evaluation.

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asked 26/09/2024
Nisanka Mandara
39 questions
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