Linear Regression

Logistic Regression

male 0

age 0

education 102

currentSmoker 0

cigsPerDay 29

BPMeds 50

prevalentStroke 0

prevalentHyp 0

diabetes 0

totChol 48

sysBP 0

diaBP 0

BMI 18

heartRate 1

glucose 377

TenYearCHD 0

Confusion Matrix :

[[883 7]

[167 3]]

Accuracy :

0.8358490566037736

K Means Clustering

Random Forest

Confusion Matrix :

[[65 3]

[ 2 30]]

Accuracy :

0.95