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Do the robot: Lessons from machine learning to improve conflict forecasting.

Increasingly, scholars interested in understanding conflict processes have turned to evaluating out-of-sample forecasts to judge and compare the usefulness of their models. Research in this vein has made significant progress in identifying and avoiding the problem of overfitting sample data. Yet the...

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Published in:Journal of Peace Research Vol. 54; no. 2; pp. 193 - 215
Main Authors: Colaresi, Michael, Mahmood, Zuhaib
Format: Article
Published: Oxford University Press / USA Mar2017
Subjects:
Violence forecasting
Civil war
Conflict management
Machine learning
Null hypothesis
Online Access:View this record in EBSCOhost

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