Our results were best with those made in Uganda, which indicated gradient boosting was highly significant for predicting diarrhea disease with an accuracy of 70% [ 32 ].
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Exploring Machine Learning Algorithms to Predict Diarrhea Disease and Identify its Determinants among Under-Five Years Children in East Africa.
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