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to be, or not to be? mortality prediction challenge.

In addressing an imbalanced data classification problem, our goal is to predict whether a patient will survive or die during their hospital stay based on their diagnosis.

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The dataset includes information on 80,000 patients, each characterized by 337 features ranging from personal details to health status.

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In addressing an imbalanced data classification problem, our goal is to predict whether a patient will survive or die during their hospital stay based on their diagnosis.

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