Answers.Body: <p>You have a situation where class imbalance is quite high. There are two ways to tackle this:</p>
  <ol>
  <li>Use Focal loss which focuses on underrepresented classes.</li>
  <li>Train a Siamese network and allied techniques to it.</li>
  </ol>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2022-09-19T20:22:27.443Z
Answers.LastActivityDate: 2022-09-19T20:22:27.443Z
Answers.UserDisplayName: Abhishek Verma
Body: <p>I'm training a model where the samples success rate is low.</p>
  <p>I mean how do I tackle such situation - maybe only show the samples which match but then the ones that doesn't may match too.</p>
  <p>But on the other hand if I train it with all the samples it seems like it never fully matches when it should.</p>
  <p>Any ideas?</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2022-09-18T13:48:20.507Z
Comments.Text: I think you need to specify your question: What do you mean by 'samples success rate', 'samples that match' and what is 'it' referring to in 'seems like it never fully matches when it should'?.
Comments.UserDisplayName: Chillston
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2022-09-18T17:52:24.683Z
Comments.Text: Please clarify your specific problem or provide additional details to highlight exactly what you need. As it's currently written, it's hard to tell exactly what you're asking.
Comments.UserDisplayName: Community
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2022-09-18T19:54:12.880Z
Comments.Text: Are you referring to something related to class imbalance?
Comments.UserDisplayName: Dave
Tags: <training>
Title: How do you train a model with low success rate?
UserDisplayName: AnArrayOfFunctions
ThreadText: # How do you train a model with low success rate?
  
  (Asked by: username_0 on 2022-09-18)
  
  I'm training a model where the samples success rate is low.
  
  I mean how do I tackle such situation - maybe only show the samples which match but then the ones that doesn't may match too.
  
  But on the other hand if I train it with all the samples it seems like it never fully matches when it should.
  
  Any ideas?
  
  **Tags:** training
  > **Comments:**
  > **username_1**: I think you need to specify your question: What do you mean by 'samples success rate', 'samples that match' and what is 'it' referring to in 'seems like it never fully matches when it should'?.  
  > **username_2**: Please clarify your specific problem or provide additional details to highlight exactly what you need. As it's currently written, it's hard to tell exactly what you're asking.  
  > **username_3**: Are you referring to something related to class imbalance?  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_4 on 2022-09-19. Score: 1
  
  You have a situation where class imbalance is quite high. There are two ways to tackle this:
  
  1. Use Focal loss which focuses on underrepresented classes.
  2. Train a Siamese network and allied techniques to it.
  
  
  ---
  
  