Naive Bayes

import pandas as pd


df = pd.read_csv('diabetes.csv')

feature_col = ["Pregnancies","Glucose","BloodPressure","SkinThickness","Insulin","BMI","DiabetesPedigreeFunction","Age"];
x = df[feature_col]
y = df.Outcome

from sklearn.naive_bayes import GaussianNB
model =  GaussianNB()
model.fit(x,y)
result = model.predict([[1,85,66,29,0,26.6,0.351,31]])
print(result)