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diabetes-prediction-system's Introduction

What is Diabetes ?

Diabetes is a type of chronic disease which is more common among the people of all age groups. Predicting this disease at an early stage can help a person to take the necessary precautions and change his/her lifestyle accordingly to either prevent the occurrences disease or control the disease (For people who already have the disease)

Diabetes-Prediction-System

User can get to know the result of Diabetes result from giving the following values from thr Blood Sample Report

User must provide the following details

  1. Gender
  2. If Female No.of Pregnancies
  3. Age
  4. BodyMassIndex(BMI)
  5. Glucose Level
  6. Insulin Level
  7. Blood Pressure (BP)
  8. Diabeted Pedigree Function(DPF)

User can get the Diabetes result ....

Training of Model is done through

  1. This Data set Comprizes of 769 rows of data
  2. Here I Used RandomForestClassifier to test and train the data
  3. The accuracy of the model is 0.75 out of 1
  4. Why to choose RandomForestClassifier :- It gives the best accuracy for prediciting the outcome

Through some of the graph representation from which we can conclude that Male are more affected than Female

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