They through very limited data a a bunch of different ml algorithms, but also did "normal" statistical analysis. "less than 1% more predictive" in this paper. What part are you referencing?
Table 4. Predictive model feature importance on US data.According to boththe decision tree and random forest models, the most important feature for reaching apriced round in the US is whether the company consists of onlymale founders
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.
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.