Data
Heart-Disease-Prediction

Heart-Disease-Prediction

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Elif Ceren Gok
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Context: The leading cause of death in the developed world is heart disease. Therefore there needs to be work done to help prevent the risks of of having a heart attack or stroke. Content: Use this dataset to predict which patients are most likely to suffer from a heart disease in the near future using the features given. Acknowledgement: This data comes from the University of California Irvine's Machine Learning Repository at https://archive.ics.uci.edu/ml/datasets/Heart+Disease.

14 features

Agenumeric41 unique values
0 missing
Sexnumeric2 unique values
0 missing
Chest_pain_typenumeric4 unique values
0 missing
BPnumeric47 unique values
0 missing
Cholesterolnumeric144 unique values
0 missing
FBS_over_120numeric2 unique values
0 missing
EKG_resultsnumeric3 unique values
0 missing
Max_HRnumeric90 unique values
0 missing
Exercise_anginanumeric2 unique values
0 missing
ST_depressionnumeric39 unique values
0 missing
Slope_of_STnumeric3 unique values
0 missing
Number_of_vessels_fluronumeric4 unique values
0 missing
Thalliumnumeric3 unique values
0 missing
Heart_Diseasestring2 unique values
0 missing

19 properties

270
Number of instances (rows) of the dataset.
14
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
13
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
Average class difference between consecutive instances.
0
Percentage of missing values.
0.05
Number of attributes divided by the number of instances.
92.86
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.

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