Data
BNG(heart-h,nominal,1000000)

BNG(heart-h,nominal,1000000)

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

num (target)nominal5 unique values
0 missing
agenominal3 unique values
0 missing
sexnominal2 unique values
0 missing
chest_painnominal4 unique values
0 missing
trestbpsnominal3 unique values
0 missing
cholnominal3 unique values
0 missing
fbsnominal2 unique values
0 missing
restecgnominal3 unique values
0 missing
thalachnominal3 unique values
0 missing
exangnominal2 unique values
0 missing
oldpeaknominal3 unique values
0 missing
slopenominal3 unique values
0 missing
canominal1 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.
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.
0
Number of numeric attributes.
14
Number of nominal attributes.
3
Number of binary attributes.
21.43
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.53
Average class difference between consecutive instances.
0
Percentage of missing values.
0
Number of attributes divided by the number of instances.
0
Percentage of numeric attributes.
63.49
Percentage of instances belonging to the most frequent class.
100
Percentage of nominal attributes.
634862
Number of instances belonging to the most frequent class.
0.17
Percentage of instances belonging to the least frequent class.
1659
Number of instances belonging to the least frequent class.

17 tasks

20 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: num
0 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: num
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: num
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: num
0 runs - estimation_procedure: 10-fold Learning Curve - evaluation_measure: predictive_accuracy - target_feature: num
46 runs - estimation_procedure: Interleaved Test then Train - target_feature: num
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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