Answers.Body: <p>I think what you are looking for is multi-label classification. Multi-label classification can take care of both of your constraints -</p>
  <blockquote>
  <p>each data sample can be classified according to two different criteria
  and each of them can have two or more classes</p>
  </blockquote>
  <p>If you just had the latter constraint, I'd have suggested multi-class classification, but multi-label classifiers are a subset of multi-class classifiers.</p>
  <p>See <a href="https://stats.stackexchange.com/a/133205">What is the difference between Multiclass and Multilabel Problem</a>.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2022-06-23T19:45:57.130Z
Answers.LastActivityDate: 2022-06-29T22:50:59.267Z
Answers.LastEditDate: 2022-06-29T22:50:59.267Z
Answers.UserDisplayName: desert_ranger
Answers.Body: <p>This is called multi-task learning, as you have two independent classification tasks. Note that this is not the same as multi-label learning.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2022-06-24T22:23:38.703Z
Answers.LastActivityDate: 2022-06-24T22:23:38.703Z
Answers.UserDisplayName: Dr. Snoopy
Body: <p>What is the proper technical name of the classification problem where each data sample can be classified according to two different criteria and each of them can have two or more classes?</p>
  <p>For example age/gender estimation problem where age is one criterion, gender is second.
  Age can be divided into 4 age groups and gender into 2. And model should generated estimate of both age and gender for every sample.</p>
  
Tags: <machine-learning><deep-learning><classification>
Title: How to properly name given type of classification problem?
UserDisplayName: GKozinski
ThreadText: # How to properly name given type of classification problem?
  
  (Asked by: username_0 on 2022-06-23)
  
  What is the proper technical name of the classification problem where each data sample can be classified according to two different criteria and each of them can have two or more classes?
  
  For example age/gender estimation problem where age is one criterion, gender is second.
  Age can be divided into 4 age groups and gender into 2. And model should generated estimate of both age and gender for every sample.
  
  **Tags:** machine-learning, deep-learning, classification
  
  
  ---
  
  ## 2 answers
  
  ### Answer by username_1 on 2022-06-23. Score: 1
  
  I think what you are looking for is multi-label classification. Multi-label classification can take care of both of your constraints -
  
  > each data sample can be classified according to two different criteria
  > and each of them can have two or more classes
  
  If you just had the latter constraint, I'd have suggested multi-class classification, but multi-label classifiers are a subset of multi-class classifiers.
  
  See [What is the difference between Multiclass and Multilabel Problem](https://stats.stackexchange.com/a/133205).
  
  
  ---
  
  ### Answer by username_2 on 2022-06-24. Score: 0
  
  This is called multi-task learning, as you have two independent classification tasks. Note that this is not the same as multi-label learning.
  
  
  ---
  
  