Welcome to QAFlow! Ask questions and get answers from our community.
52

How to handle imbalanced datasets in classification problems?

General
AI Summary

My fraud detection dataset is 99.5% legitimate transactions. SMOTE made things worse. What techniques actually work in production?

0 Answers
No answers yet. Be the first to answer!
Your Answer

You need to be logged in to answer.

Login Register
Related Questions
How often should I rotate API keys and secrets in production?
Should I switch from bash to zsh or fish in 2026?
RAG vs fine-tuning - which approach for knowledge-intensive tasks?
What are the must-have VS Code extensions for a full-stack developer in 2026?
How to evaluate hallucination rate in LLM outputs?
961
Views
0
Answers
52
Votes
Have a Question?

Get answers from the community

Ask Question
Asked By
Administrator
385 reputation
AI Suggested
How often should I rotate API keys and secrets in production...
1,206 views · 8 answers
Should I switch from bash to zsh or fish in 2026?
345 views · 1 answers
RAG vs fine-tuning - which approach for knowledge-intensive ...
796 views · 5 answers
What are the must-have VS Code extensions for a full-stack d...
995 views · 2 answers
How to evaluate hallucination rate in LLM outputs?
605 views · 8 answers
Topic
General

Browse more questions in this topic

Hot Questions
Popular Tags
docker 1 containers 1 postgresql 1 javascript 0 react 0 nodejs 0 api 0 database 0 security 0 devops 0 websockets 0 rest-api 0 express 0 authentication 0 optimization 0
Top Users