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Last updated on 8/5/21

Understand the Process of Training a Model

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Evaluated skills

  • Explain the process of training a model


Test your knowledge with these multiple choice questions.

  • Question 1

    Which of the following is true:

    • Input features should all be categorical.

    • Small datasets are better than large ones for machine learning.

    • Predicting categorical features is called classification.

    • You should always use all of your data to build a machine learning model.

  • Question 2

    Which of the following are essential to building a supervised machine learning model?

    • Having a PhD in statistics.

    • Having your data in a relational database.

    • Having access to a good spreadsheet program.

    • Having pre-labeled samples.

  • Question 3

    Why should you avoid testing your model using the training data?

    • It would take too long.

    • It’s not a fair, scientific test.

    • It’s not the right shape.

    • The accuracy would be too low.