Model scripts used for the paper "Predicting Food-Security Crises in the Horn of Africa Using Machine Learning"

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socioeconomicclimate

Type de record:

software

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This folder contains all scripts necessary to run the machine learning model as described in the paper "Predicting Food-Security Crises in the Horn of Africa Using Machine Learning".

It contains three folders: "input_data_scripts", "ML_model_scripts" and "Figures".

These are the scripts required to pre-process ("clustering.py", "desert_locust.py", "FEWS_FSO.py", "Price_data_processing.py", "SST.py") and load the input data ("input_collector.py"), to execute the hyperparameter tuning ("HP_tuning.py") and the ML model ("ML_execution.py"), and to plot the results ("plots_paper.ipynb")

This model is developed at the

Institute for Environmental Studies
Vrije Universiteit Amsterdam, Faculty of Science
De Boelelaan 1111, 1081 HV Amsterdam

please send any questions or requests to tim.busker@vu.nl

Replication Data for the paper "Predicting Food-Security Crises in the Horn of Africa Using Machine Learning"

This folder contains all input data necessary to run the machine learning model as describe

Predicting Food-Security Crises in the Horn of Africa Using Machine Learning

The Horn of Africa region has frequently been affected by severe droughts and food crises over the l

Model scripts used for the paper "Predicting Food-Security Crises in the Horn of Africa Using Machine Learning"

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Replication Data for the paper "Predicting Food-Security Crises in the Horn of Africa Using Machine Learning"

Predicting Food-Security Crises in the Horn of Africa Using Machine Learning