Diabetes

This is a supervised trained model written in pyhton which can be used to predict about the diabetes in a person by using his body parametes.

Parameters being used for prediction

1.Num_preg 2.Glucose_conc 3.Diastolic_bp 4.Thickness 5.Insulin bmi 6.Diab_pred 7.Age 8.Skin

Accuracy

71% (varies as per trained data and test data)

Data Set

Pima Indians Diabetes Database

( 70% used for training 30% used for testing )

Algorithm used:-

Naive Bayes Classifier

Methods used for improving Algorithm

1.Random Forest 2.Logistic Regression

Acknowledgments

• This project was made by following Pluralsight course on Understanding Machine Learning with python by Jeery Kurata.