Learn Before
Explain the role and alternative terminology for the development set.
Question: Describe the main functions of a development set in a machine learning project and provide the alternative name sometimes used for it.
Sample answer: The development set, sometimes called the hold-out cross validation set, is primarily used to evaluate models so that the team can tune parameters, select features, and make other decisions regarding the learning algorithm.
Key points:
- Mentions the alternative name: hold-out cross validation set.
- Identifies its use for tuning parameters.
- Identifies its use for selecting features.
- Notes it is used to make other decisions regarding the learning algorithm.
Rubric: Award full credit if the student accurately provides the alternative name and lists the three main functions of the dev set.
0
1
Tags
D2L
Dive into Deep Learning @ D2L
Machine Learning
Deep Learning
Supervised Learning
Data Science
Machine Learning Strategy
Machine Learning Yearning @ DeepLearning.AI
Related
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.