"Further, we construct machine learning models to predict whether startups will reach an equity round, revealing the surprising finding that the CEO's gender is the primary determining factor for attaining funding"
I'd definitely love to see more of this ML model and what factors they fed it.
After reading the paper, they dropped everything down to 8 variables, all of which were based solely on the founder, (I feel like including industry, and other factors would also be very influential factors) and although under their ML models they did manage to arrive at the conclusion that gender was the most predictive factor it less than 1% more predictive than the next highest factor and less than 7% more predictive than the 4th lowest factor.
Specifically the decision tree analysis column. There is a great difference in the Random Forest column, which should be noted. But I am not enough of an ML expert to know which one is more accurate.
Came across this paper while reading this below article from Forbes:
PDF of paper: https://arxiv.org/pdf/2101.12008.pdf