DIABETES DIAGNOSIS

MOTIVATION:

• Diabetes is a disease that occurs when your blood glucose, also called blood sugar, is too high.
• If Diabetes is left unattended it could turn diasterous.
• Hence early diagnosis of diabetes is essential.
• In this project we make models to diabetes diagnosis.

TASK:

• In this project we diagnoise whether a person has diabetes or not.

DATASET:

The dataset can be downloaded here.

FEATURES:

FEATURES	DESCRIPTION
* Pregnancies	Number of times they got pregnant
* Glucose	Glucose level in one's body
* Blood pressure	perimeter of the lump
* SkinThickness	Thickness of one' skin
* Insulin	Insulin level in one' body
* BMI	BMI of a person
* Age	Person' age

LABEL:

• Given the above features we have to diagnois whether the person has diabetes or not.

MODELS USED:

• Logistic Regression
• Decision Tree
• Support Vector Machine
• Random Forest
• Boosting(using decision tree)
• MLP Classfier