It exhibited a precision μ of 66%, recall μ of 73%, F-measure μ of 67%, and AROC 73% on average, showing a fairly significant discriminative capability.
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A Systematic Machine Learning Based Approach for the Diagnosis of Non-Alcoholic Fatty Liver Disease Risk and Progression.
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