Diabet Feature Engineering - Predict whether people have diabetes when their characteristics are specified

Last update: Jan 18, 2022

Overview

Diabet_Feature-Engineering

Aim

Predict whether people have diabetes when their characteristics are specified.It is desired to develop a machine learning model that can model data analysis and feature engineering steps required before development you are expected to do.

Information about the dataset

The dataset is part of the large dataset held at the National Institutes of Diabetes-Digestive-Kidney Diseases in the USA. in the USA on Pima Indian women aged 21 and over living in Phoenix, the 5th largest city in the State of Arizona.Data used for diabetes research.The target variable is specified as "outcome"; 1 indicates positive diabetes test result, 0 indicates negative.

Variables

Pregnancies: Number of pregnancies Glucose Oral: 2-hour plasma glucose concentration in glucose tolerance test Blood Pressure: Blood Pressure (Small blood pressure) (mm Hg) SkinThickness: Skin Thickness Insulin: 2-hour serum insulin (mu U/ml) DiabetesPedigreeFunction: Function (2 hour plasma glucose concentration in oral glucose tolerance test) BMI: Body mass index Age: Age (year) Outcome:Have the disease (1) or not (0)

Diabet Feature Engineering - Predict whether people have diabetes when their characteristics are specified

Related tags

Overview

Diabet_Feature-Engineering

Aim

Information about the dataset

Variables

Owner

Şebnem

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