Startup Success Prediction with PCA-Enhanced Machine Learning Models
This study evaluates the effectiveness of various machine learning algorithms in predicting startup success and explores the performance improvement achieved by applying Principal Component Analysis (PCA) to the models. By analyzing logistic regression, support vector classifier (SVC), XGBoost, and...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universidad Alberto Hurtado
2024-12-01
|
| Series: | Journal of Technology Management & Innovation |
| Subjects: | |
| Online Access: | https://www.jotmi.org/index.php/GT/article/view/4617 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|