Predicting Startup Outcomes Using Explainable Machine Learning and Y Combinator-Inspired Feature Engineering
This paper introduces a YC-Inspired Feature Engineering (YIFE) framework that incorporates batch cohort timing, founder technical depth, team composition, industry category, and geographic cluster alongside conventional funding and operational variables in a domain-contextualized retrospective classification approach f...