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Computer science · University

Prediction and evaluation

Data used to fit model parameters.

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Prerequisites

Algebra and basic statistics.

Study notes

Training set

Data used to fit model parameters.

Test set

Held-out data used to assess performance after model choices are made.

Baseline

A simple reference method used to judge whether a model adds value.

Metric

A defined numerical rule for evaluating predictions or errors.

Worked examples

Which term best matches this description: Data used to fit model parameters.

Training set is the matching concept in this lesson.

Training set

Which term best matches this description: Held-out data used to assess performance after model choices are made.

Test set is the matching concept in this lesson.

Test set

Check your understanding

  1. Which concept would you apply first in a situation where a simple reference method used to judge whether a model adds value.

    1. Training set
    2. Baseline
    3. Test set
    4. Metric

  2. Name the concept described as: A defined numerical rule for evaluating predictions or errors.

  3. Which statement about Training set is most accurate?

    1. Data used to fit model parameters.
    2. A defined numerical rule for evaluating predictions or errors.
    3. Held-out data used to assess performance after model choices are made.
    4. A simple reference method used to judge whether a model adds value.

  4. Explain one important difference between Training set and Test set.

Answers and marking guidance

Answers and marking notes
  1. Baseline

    The scenario directly calls for Baseline.

  2. Metric

    The intended concept is Metric.

  3. Data used to fit model parameters.

    The definition in the lesson notes gives the required condition.

  4. Training set: Data used to fit model parameters. Test set: Held-out data used to assess performance after model choices are made.

    Credit a clear distinction using both definitions and an appropriate example if supplied.

Further reading and review references

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