Context
The dataset, provided by the National Institute of Diabetes and Digestive and Kidney Diseases, aims to predict the likelihood of diabetes in patients using specific diagnostic measurements. The data focuses exclusively on female patients who are at least 21 years old and of Pima Indian descent. This selection was made under certain criteria from a larger database to create a more targeted dataset for analysis.
Content
The dataset contains various medical features used as predictors, along with a target variable called "Outcome." The predictor variables include details such as the patient's number of pregnancies, BMI, insulin levels, age, and other relevant health metrics.
Columns
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Pregnancies
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Glucose
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BloodPressure
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SkinThickness
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Insulin
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BMI
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DiabetesPedigreeFunction
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Age
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Outcome
Data Analysis
Results Analysis
