Top 10 feature importance for best performer random forest model.

<p>Top 10 feature importance for best performer random forest model.</p>

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Bibliografiset tiedot
Päätekijä:	Abraham Keffale Mengistu (21672939) (author)
Julkaistu:	2025
Aiheet:	Medicine Biotechnology Cancer Infectious Diseases Virology Computational Biology traditional statistical approaches shapley additive explanations providing actionable insights nationally representative survey interpret feature importance including random forest evaluated using accuracy economic empowerment programs 3 million cases 157 deaths reported environmental health improvements highest itn usage ethiopia &# 8217 achieving auc scores 7 %), challenging 2023 performance monitoring income households exhibited public health 763 households itn utilization itn use itn distribution xlink "> wealth quintile treated nets study highlights study demonstrates specific interventions remain underutilized related barriers regional disparities often fail october 20 nonlinear interactions moderating effect model performance maternal education machine learning limited settings identify non housing conditions household size gradient boosting findings underscore ethiopia dataset dire dawa demographic factors capturing complex capture complex apparent factors
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