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
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | e2tree_1.0.0.tar.gz |
1.9 MiB |
1.0.0 |
rolling linux/noble R-4.5 | e2tree_1.0.0.tar.gz |
1.9 MiB |
1.0.0 |
rolling source/ R- | e2tree_1.0.0.tar.gz |
1.8 MiB |
1.0.0 |
latest linux/jammy R-4.5 | e2tree_1.0.0.tar.gz |
1.9 MiB |
1.0.0 |
latest linux/noble R-4.5 | e2tree_1.0.0.tar.gz |
1.9 MiB |
1.0.0 |
latest source/ R- | e2tree_1.0.0.tar.gz |
1.8 MiB |
1.0.0 |
2026-04-26 source/ R- | e2tree_1.0.0.tar.gz |
1.8 MiB |
1.0.0 |
2026-04-23 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 |
0.1.2 |
2025-04-20 source/ R- | e2tree_0.1.2.tar.gz |
591.3 KiB |