Data
BNG(heart-statlog,nominal,1000000)

BNG(heart-statlog,nominal,1000000)

active ARFF Publicly available Visibility: public Uploaded 09-04-2014 by Jan van Rijn
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14 features

class (target)nominal2 unique values
0 missing
agenominal3 unique values
0 missing
sexnominal3 unique values
0 missing
chestnominal3 unique values
0 missing
resting_blood_pressurenominal3 unique values
0 missing
serum_cholestoralnominal3 unique values
0 missing
fasting_blood_sugarnominal3 unique values
0 missing
resting_electrocardiographic_resultsnominal3 unique values
0 missing
maximum_heart_rate_achievednominal3 unique values
0 missing
exercise_induced_anginanominal3 unique values
0 missing
oldpeaknominal3 unique values
0 missing
slopenominal3 unique values
0 missing
number_of_major_vesselsnominal3 unique values
0 missing
thalnominal3 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.
0
Number of numeric attributes.
14
Number of nominal attributes.
44.57
Percentage of instances belonging to the least frequent class.
445676
Number of instances belonging to the least frequent class.
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.
0
Number of attributes divided by the number of instances.
0
Percentage of numeric attributes.
55.43
Percentage of instances belonging to the most frequent class.
100
Percentage of nominal attributes.
554324
Number of instances belonging to the most frequent class.

26 tasks

23 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
1 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 5 times 2-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: 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
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
46 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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