Skip to content

nimmigopan/Diabetics_Prediction

Repository files navigation

Diabetics_Prediction

The 'diabetes.csv' dataset is related to diabetes prediction. Each row represents a different individual, and the columns represent various attributes and characteristics:

  • Some samples of data is as shown:- image
  • Pregnancies: The number of pregnancies the individual has had.
  • Glucose: The plasma glucose concentration after a 2-hour oral glucose tolerance test.
  • Blood Pressure: The diastolic blood pressure (mm Hg).
  • Skin Thickness: The skinfold thickness of the triceps (mm).
  • Insulin: 2-Hour serum insulin (mu U/ml).
  • BMI (Body Mass Index): A measure of body fat based on height and weight.
  • Diabetes Pedigree Function: A function that represents the diabetes mellitus history in relatives and the genetic relationship of those relatives to the individual.
  • Age: The age of the individual.
  • Outcome: This is the target variable. It indicates whether the individual has diabetes (1) or does not have diabetes (0).

Using this data a machine learning model is built to predict diabetes based on the provided attributes. SVM is uesd to train the data and by using streamlit a interactive web application is created.

Screenshot 2023-11-02 224422