Testing data for a heart disease dataset. These data are used to test the prediction performance of a model trained on the
heartdisease contains both datasets.
A data frame containing 153 rows and 14 columns
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 flourosopy
"normal" = normal, "fd" = fixed defect, "rd" = reversable defect
1 = Heart disease, 0 = No Heart disease
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