Data
BNG(heart-statlog)

BNG(heart-statlog)

active ARFF Publicly available Visibility: public Uploaded 29-04-2014 by Jan van Rijn
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14 features

class (target)nominal2 unique values
0 missing
agenumeric983895 unique values
0 missing
sexnumeric2 unique values
0 missing
chestnumeric216199 unique values
0 missing
resting_blood_pressurenumeric989437 unique values
0 missing
serum_cholestoralnumeric996678 unique values
0 missing
fasting_blood_sugarnumeric2 unique values
0 missing
resting_electrocardiographic_resultsnumeric3 unique values
0 missing
maximum_heart_rate_achievednumeric993224 unique values
0 missing
exercise_induced_anginanumeric2 unique values
0 missing
oldpeaknumeric612925 unique values
0 missing
slopenumeric3 unique values
0 missing
number_of_major_vesselsnumeric4 unique values
0 missing
thalnumeric3 unique values
0 missing

19 properties

1000000
Number of instances (rows) of the dataset.
14
Number of attributes (columns) of the dataset.
2
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.
1
Number of binary attributes.
7.14
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
0.51
Average class difference between consecutive instances.
92.86
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
55.59
Percentage of instances belonging to the most frequent class.
7.14
Percentage of nominal attributes.
555946
Number of instances belonging to the most frequent class.
44.41
Percentage of instances belonging to the least frequent class.
444054
Number of instances belonging to the least frequent class.

24 tasks

21 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
305 runs - estimation_procedure: Interleaved Test then Train - target_feature: class
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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