Case under review

Forest hyperparameters

Ensemble result

P(plaintiff wins)—
Votes plaintiff / defendant—
Tree agreement rate—
Out-of-bag accuracy—
Training set size—
Each cube in the grid is one decision tree, trained on its own bootstrap resample of the training set with a random subset of features considered at every split. Cube colour = that tree's live vote for the case on the left; brightness = the leaf's internal confidence. The bar below is the resulting ensemble probability.