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The Pima Indians Diabetes Dataset contains 768 samples and 9 features, including key predictors such as Glucose, BMI, Age, and DiabetesPedigreeFunction for diabetes prediction. The dataset has a binary target variable indicating the presence or absence of diabetes, with a notable class imbalance of approximately 65% non-diabetic and 35% diabetic cases. Missing data is represented as zero in several features, which should be addressed before modeling.

Author
Rahiman Shaikh
Language
EN

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