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e2tree

Explainable Ensemble Trees

The Explainable Ensemble Trees 'e2tree' approach has been proposed by Aria et al. (2024) <doi:10.1007/s00180-022-01312-6>. It aims to explain and interpret decision tree ensemble models using a single tree-like structure. 'e2tree' is a new way of explaining an ensemble tree trained through 'randomForest' or 'xgboost' packages.

Versions across snapshots

VersionRepositoryFileSize
1.0.0 rolling source/ R- e2tree_1.0.0.tar.gz 1.8 MiB
1.0.0 latest source/ R- e2tree_1.0.0.tar.gz 1.8 MiB
1.0.0 2026-04-09 windows/windows R-4.5 e2tree_1.0.0.zip 2.4 MiB

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