Purpose of Dev and Test Sets

Choosing Dev and Test Sets to Reflect Future Data

Choosing Dev and Test Sets from the Same Distribution When Possible

Changing Dev/Test Sets or Evaluation Metrics During a Project Is Common

Quickly Establishing Dev/Test Sets and Metric for New Applications

Sizing the Dev Set to Detect Meaningful Accuracy Changes

What is the primary purpose of a development (dev) set in a machine learning project?

The development set is sometimes called the 'hold-out cross validation set'.

The development set is sometimes also called the _____ cross validation set.

Match each development set role to its description in Machine Learning Yearning.

Order the steps for using a dev set to choose between two model configurations.

Which of the following is NOT a stated use of the development set in Machine Learning Yearning?

The dev set and the training set refer to the same data partition in Machine Learning Yearning.

The dev set is used to tune parameters, _____ features, and make other decisions about the learning algorithm.

Match each dev set use from Machine Learning Yearning to the activity that exemplifies it.

Arrange the stages of a machine learning project that involve the dev set in the correct workflow order.

Explain the role and alternative terminology for the development set.

Determine the correct data partition for tuning a model's parameters and features.

List the three primary uses of the development set.