Interpreting tree ensembles with inTrees

Author:

Deng HoutaoORCID

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Modelling and Simulation,Information Systems

Reference36 articles.

1. Adnan, M.N., Islam, M.Z.: Forex++: a new framework for knowledge discovery from decision forests. Austral. J. Inf. Syst. https://doi.org/10.3127/ajis.v21i0.1539 (2017)

2. Agrawal, R., Srikant, R., et al.: Fast algorithms for mining association rules. In: Proceedings of 20th International Conference on Very Large Data Bases, VLDB, Vol. 1215, pp. 487–499 (1994)

3. Bastani, O., Kim, C., Bastani, H.: Interpretability via model extraction. arXiv preprint arXiv:1706.09773 (2017)

4. Bastani, O., Kim, C., Bastani, H.: Interpreting blackbox models via model extraction. arXiv preprint arXiv:1705.08504 (2017)

5. Breiman, L.: Random forests. Mach. Learn. 45(1), 5–32 (2001)

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