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Accession Number N20130008633
Title Using Random Forest Models to Predict Organizational Violence.
Publication Date Mar 2012
Media Count 7p
Personal Author B. Levine G. Bobashev
Abstract We present a methodology to access the proclivity of an organization to commit violence against nongovernment personnel. We fitted a Random Forest model using the Minority at Risk Organizational Behavior (MAROS) dataset. The MAROS data is longitudinal; so, individual observations are not independent. We propose a modification to the standard Random Forest methodology to account for the violation of the independence assumption. We present the results of the model fit, an example of predicting violence for an organization; and finally, we present a summary of the forest in a 'meta-tree,'
Keywords Forests

Source Agency National Aeronautics and Space Administration
NTIS Subject Category 72 - Mathematical Sciences
70D - Personnel Management, Labor Relations & Manpower Studies
Corporate Author Research Triangle Inst., Research Triangle Park, NC.
Document Type Conference proceedings
Title Note N/A
NTIS Issue Number 1318
Contract Number N/A

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