We used the sklearn Python package’s implementation of random forests, RandomForestClassifier. Our strategy of withholding some data in each training round is commonly referred to as leave-one ...

In this post, we’ll discuss some of the differences between fixed and random effects models when applied to panel data — that is, data collected over time on the same unit of analysis — and how these ...