As part of the JKI Challenge 19 - Dealing with Diabetes, the Auto ML component was utilized to determine the optimal model for classifying patients as either diabetic or non-diabetic. Following this, the Global Feature Importance component was employed to identify the two most crucial features that contribute to a diagnosis of "Diabetic" or an Outcome value of 1 in the model. Finally, a Scatter Plot was generated using complete data to explore how these two key components interact and ultimately indicate an elevated risk for diabetes.
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