Data
BNG(colic.ORIG,nominal,1000000)

BNG(colic.ORIG,nominal,1000000)

active ARFF Publicly available Visibility: public Uploaded 08-04-2014 by Jan van Rijn
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28 features

pathology_cp_data (target)nominal2 unique values
0 missing
surgerynominal2 unique values
0 missing
Agenominal2 unique values
0 missing
Hospital_Numbernominal338 unique values
0 missing
rectal_temperaturenominal3 unique values
0 missing
pulsenominal3 unique values
0 missing
respiratory_ratenominal3 unique values
0 missing
temperature_of_extremitiesnominal4 unique values
0 missing
peripheral_pulsenominal4 unique values
0 missing
mucous_membranesnominal6 unique values
0 missing
capillary_refill_timenominal3 unique values
0 missing
painnominal5 unique values
0 missing
peristalsisnominal4 unique values
0 missing
abdominal_distensionnominal4 unique values
0 missing
nasogastric_tubenominal3 unique values
0 missing
nasogastric_refluxnominal3 unique values
0 missing
nasogastric_reflux_PHnominal3 unique values
0 missing
rectal_examination_-_fecesnominal4 unique values
0 missing
abdomennominal5 unique values
0 missing
packed_cell_volumenominal3 unique values
0 missing
total_proteinnominal3 unique values
0 missing
abdominocentesis_appearancenominal3 unique values
0 missing
abdomcentesis_total_proteinnominal3 unique values
0 missing
outcomenominal3 unique values
0 missing
surgical_lesionnominal2 unique values
0 missing
site_of_lesionnominal63 unique values
0 missing
type_of_lesionnominal8 unique values
0 missing
subtype_of_lesionnominal2 unique values
0 missing

19 properties

1000000
Number of instances (rows) of the dataset.
28
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.
28
Number of nominal attributes.
5
Number of binary attributes.
17.86
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.55
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.
66.28
Percentage of instances belonging to the most frequent class.
100
Percentage of nominal attributes.
662777
Number of instances belonging to the most frequent class.
33.72
Percentage of instances belonging to the least frequent class.
337223
Number of instances belonging to the least frequent class.

17 tasks

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