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This projects aims to develope a diabetese prediction model using machine learning when fundamental values are given.

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Melisa-Karatas/Machine_Learning_Based_Prediction_On_Diabetes_Dataset

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Machine_Learning_Based_Prediction_On_Diabetes_Dataset

This projects aims to develope a diabetese prediction model using machine learning when fundamental values are given.


This dataset is originally from the National Institute of Diabetes and Digestive and KidneyDiseases. The objective of the dataset is to diagnostically predict whether a patient has diabetes,based on certain diagnostic measurements included in the dataset. Several constraints were placedon the selection of these instances from a larger database. In particular, all patients here are femalesat least 21 years old of Pima Indian heritage.

  • Pregnancies: To express the Number of pregnancies

  • Glucose: To express the Glucose level in blood

  • BloodPressure: To express the Blood pressure measurement

  • SkinThickness: To express the thickness of the skin

  • Insulin: To express the Insulin level in blood

  • BMI: To express the Body mass index

  • DiabetesPedigreeFunction: To express the Diabetes percentage

  • Age: To express the age

  • Outcome: To express the final result 1 is Yes and 0 is No

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This projects aims to develope a diabetese prediction model using machine learning when fundamental values are given.

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