A dataset predicting the diagnosis of 303 patients tested for heart disease.
heartdiseaseA data frame containing 303 rows and 14 columns, with the following variables:
True value of binary criterion: TRUE = Heart disease, FALSE = No Heart disease
Age (in years)
Sex, 1 = male, 0 = female
Chest pain type: ta = typical angina, aa = atypical angina, np = non-anginal pain, a = asymptomatic
Resting blood pressure (in mm Hg on admission to the hospital)
Serum cholestoral in mg/dl
Fasting blood sugar > 120 mg/dl: 1 = true, 0 = false
Resting electrocardiographic results. "normal" = normal, "abnormal" = having ST-T wave abnormality (T wave inversions and/or ST elevation or depression of > 0.05 mV), "hypertrophy" = showing probable or definite left ventricular hypertrophy by Estes' criteria.
Maximum heart rate achieved
Exercise induced angina: 1 = yes, 0 = no
ST depression induced by exercise relative to rest
The slope of the peak exercise ST segment.
Number of major vessels (0-3) colored by flouroscopy
"normal" = normal, "fd" = fixed defect, "rd" = reversible defect
heart.cost dataset for cost information.
Other datasets:
blood,
breastcancer,
car,
contraceptive,
creditapproval,
fertility,
forestfires,
heart.cost,
heart.test,
heart.train,
iris.v,
mushrooms,
sonar,
titanic,
voting,
wine