This data contains probability mass functions (pmf's) for correlated binary data for various parameters. The sum of correlated exchangeable binary data is a generalization of the binomial distribution that deals with correlated trials. The correlation in decision trees occurs as the subsampling and bootstrapping step in random forests touch the same data, creating a co-dependency. This data contains some pre-calculated distributions for random forests with 500, 1000, and 2000 trees with 10, 100, and 1000 features. For more distributions, they can be calculated via the correlbinom R package.
A list of lists
Witt, Gary. "A Simple Distribution for the Sum of Correlated, Exchangeable Binary Data." Communications in Statistics-Theory and Methods 43, no. 20 (2014): 4265-4280.
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