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Developed an efficient model that can predict if a person has a liver disease or not. Used dataset obtained from the University of California which consisted of 583 records of which 416 are liver disease patient data records. Achieved the highest accuracy of 63.26% after balancing data with SMOTE algorithm.

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raj4585/Liver-Disease-Prediction-using-Machine-Learning-Algorithm

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Developed an efficient model that can predict if a person has a liver disease or not. Used dataset obtained from the University of California which consisted of 583 records of which 416 are liver disease patient data records. Achieved the highest accuracy of 63.26% after balancing data with SMOTE algorithm.

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