Application of random forest classification to predict daily oviposition events in broiler breeders fed by precision feeding system

Author:

You Jihao,van der Klein Sasha A.S.,Lou Edmond,Zuidhof Martin J.

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference41 articles.

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3. Berzal, F., Cubero, J.-C., Marı́n, N., Sánchez, D., 2004. Building multi-way decision trees with numerical attributes. Information Sciences 165, 73-90, doi 10.1016/j.ins.2003.09.018.

4. Breiman, L., 1996. Out-of-bag estimation, Technical report, Department of Statistics: University of California, Berkeley, pp. 1–13.

5. Random forests, Technical Report, Statistics Department;Breiman,1999

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