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The worst performing method was Decision Trees with an accuracy of 0.675, precision of 0.571, recall of 0.599, F1 score of 0.570 and ROC-AUC of 0.654 Conclusion: Using machine learning methods, we were able to predict the presence of fatty liver disease with high accuracy, precision, and recall