Predicting the chances of Heart Attack using Logistic Regression ML Model .
About dataset Age : Age of the patient
Sex : Sex of the patient
exang: exercise induced angina (1 = yes; 0 = no)
ca: number of major vessels (0-3)
cp : Chest Pain type chest pain type
Value 1: typical angina Value 2: atypical angina Value 3: non-anginal pain Value 4: asymptomatic trtbps : resting blood pressure (in mm Hg)
chol : cholestoral in mg/dl fetched via BMI sensor
fbs : (fasting blood sugar > 120 mg/dl) (1 = true; 0 = false)
restecg : resting electrocardiographic results
Value 0: normal Value 1: having ST-T wave abnormality (T wave inversions and/or ST elevation or depression of > 0.05 mV) Value 2: showing probable or definite left ventricular hypertrophy by Estes' criteria thalachh : maximum heart rate achieved
output : 0= less chance of heart attack 1= more chance of heart attack