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Pima Indians Diabetes Dataset (Scatter Plot Improved)

skas901

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Last edited Oct 04, 2025
Created on Oct 04, 2025

Pima Indians Diabetes Dataset: This dataset is derived from the National Institute of Diabetes and Digestive and Kidney Diseases and is commonly used for binary classification tasks in machine learning. It contains diagnostic measurements from a group of Pima Indian women to predict the onset of diabetes.

Source URL: https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database

Attribute Descriptions Pregnancies: Quantitative (Number of times pregnant).

Glucose: Quantitative (Plasma glucose concentration).

BloodPressure: Quantitative (Diastolic blood pressure).

SkinThickness: Quantitative (Triceps skin fold thickness).

Insulin: Quantitative (2-hour serum insulin).

BMI: Quantitative (Body Mass Index).

DiabetesPedigreeFunction: Quantitative (A function that scores the likelihood of diabetes based on family history).

Age: Quantitative (Age in years).

Outcome: Categorical (0 = non-diabetic, 1 = diabetic).

MIT Licensed