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...
| Publicado en: | Journal of Peace Research Vol. 54; no. 2; pp. 193 - 215 |
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| Autores principales: | , |
| Formato: | Artículo |
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Oxford University Press / USA
Mar2017
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| Acceso en línea: | Ver este registro en EBSCOhost |