Problem statement
We are given with various clinical parameters of a patient and we have to predict whether or not she is suffereing from heart disease.
Features
Age (age in years)
Sex (1 = male; 0 = female)
CP (chest pain type)
TRESTBPS (resting blood pressure (in mm Hg on admission to the hospital))
CHOL (serum cholestoral in mg/dl)
FPS (fasting blood sugar > 120 mg/dl) (1 = true; 0 = false)
RESTECH (resting electrocardiographic results)
THALACH (maximum heart rate achieved)
EXANG (exercise induced angina (1 = yes; 0 = no))
OLDPEAK (ST depression induced by exercise relative to rest)
SLOPE (the slope of the peak exercise ST segment)
CA (number of major vessels (0-3) colored by flourosopy)
THAL (3 = normal; 6 = fixed defect; 7 = reversable defect)
TARGET (1 or 0)
Solution
Built a successful machine learning model which could predict results.