Comparing Random Forest with Logistic Regression for Predicting Class-Imbalanced Civil War Onset Data (Political Analysis 2016)

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When last checked on February 2, 2019, this study had not yet been included in the RePEc databases.



Contents

Article

Authors Title Journal Year Edition Pages JEL Codes Keywords
David Muchlinski, David Siroky, Jingrui He, Matthew Kocher Comparing Random Forest with Logistic Regression for Predicting Class-Imbalanced Civil War Onset Data Political Analysis 2016 1 87-103 - -

Article information

Program code Data Readme Method(s) & estimation Data type Data used Origin of data used Software used (Version)
2 - available online elsewhere than on journal website 2 - available online elsewhere than on journal website 2 - available online elsewhere than on journal website - - http://dx.doi.org/10.7910/DVN/KRKWK8 - R

Replication of this study

Authors Title Journal Year Edition Pages JEL Codes Keywords Replication type Replication result [refer to replication type 1 and 2] Raw data Call into question Authors statement
Simon Heuberger Insufficiencies in Data Material: A Replication Analysis of Muchlinski, Siroky, He, and Kocher (2016) Political Analysis 2019 1 114-8 - - - - - - -

References

DOI: 10.1093/pan/mpv024 IDEAS: - EconPapers: -


Reply: Seeing the Forest through the Trees (Political Analysis 2019), David Alan Muchlinski, David Siroky, Jingrui He, Matthew Adam Kocher, 1, 111-113, DOI: 10.1017/pan.2018.45, IDEAS/RePEc: a/cup/polals/v27y2019i01p111-113_00.html, EconPapers: RePEc:cup:polals:v:27:y:2019:i:01:p:111-113_00

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