Data
heart-h

heart-h

active ARFF Publicly available Visibility: public Uploaded 01-06-2015 by Rafael G. Mantovani
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Author: Hungarian Institute of Cardiology. Budapest: Andras Janosi, M.D. Source: [original](http://www.openml.org/d/51) - UCI Please cite: Hungarian Institute of Cardiology. Budapest: Andras Janosi, M.D. * Dataset: This is a reprocessed version of heart-h (hungarian), the heart disease reprocessed hungarian dataset from UCI.

14 features

Class (target)nominal5 unique values
0 missing
V1numeric38 unique values
0 missing
V2numeric2 unique values
0 missing
V3numeric4 unique values
0 missing
V4numeric32 unique values
0 missing
V5numeric154 unique values
0 missing
V6numeric3 unique values
0 missing
V7numeric4 unique values
0 missing
V8numeric72 unique values
0 missing
V9numeric3 unique values
0 missing
V10numeric10 unique values
0 missing
V11numeric4 unique values
0 missing
V12numeric3 unique values
0 missing
V13numeric4 unique values
0 missing

62 properties

294
Number of instances (rows) of the dataset.
14
Number of attributes (columns) of the dataset.
5
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.
1
Number of nominal attributes.
0
Percentage of binary attributes.
1.5
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-1.62
Minimum kurtosis among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
111.2
Maximum kurtosis among attributes of the numeric type.
-8.85
Minimum of means among attributes of the numeric type.
0
Percentage of missing values.
63.79
Third quartile of kurtosis among attributes of the numeric type.
230.52
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
92.86
Percentage of numeric attributes.
89.96
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
5
The minimal number of distinct values among attributes of the nominal type.
7.14
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
5
The maximum number of distinct values among attributes of the nominal type.
-7.32
Minimum skewness among attributes of the numeric type.
First quartile of entropy among attributes.
1.08
Third quartile of skewness among attributes of the numeric type.
10.09
Maximum skewness among attributes of the numeric type.
0.45
Minimum standard deviation of attributes of the numeric type.
-0.74
First quartile of kurtosis among attributes of the numeric type.
13.62
Third quartile of standard deviation of attributes of the numeric type.
95.41
Maximum standard deviation of attributes of the numeric type.
5.1
Percentage of instances belonging to the least frequent class.
-2.66
First quartile of means among attributes of the numeric type.
0
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
15
Number of instances belonging to the least frequent class.
First quartile of mutual information between the nominal attributes and the target attribute.
27.33
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
-3.29
First quartile of skewness among attributes of the numeric type.
40.93
Mean of means among attributes of the numeric type.
0.81
First quartile of standard deviation of attributes of the numeric type.
0.46
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among attributes.
1.64
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
3.05
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.05
Number of attributes divided by the number of instances.
5
Average number of distinct values among the attributes of the nominal type.
0.59
Second quartile (Median) of means among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
-0.62
Mean skewness among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
63.95
Percentage of instances belonging to the most frequent class.
12.61
Mean standard deviation of attributes of the numeric type.
-0.47
Second quartile (Median) of skewness among attributes of the numeric type.
188
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.

5 tasks

107 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Class
31 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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