RePEcML & AI Methods
CostSensitive Machine Learning for Investments
The study employs cost-sensitive machine learning models to predict startup success, potentially reducing investor risk but possibly limiting gains, and proposes ways to improve successful startup detection.
Featured in No. 44 on 10 Apr 2024 · on release day
- Released
- 10 Apr 2024
- First featured
- No. 44 · 10 Apr 2024
- Published in
- Not yet, as far as Semantic Scholar knows
- Shares when featured
- 22
- Identifier
- RePEc:wly:isacfm:v:31:y:2024:i:1:n:e1548
Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).