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BNG(anneal,10000,10)

BNG(anneal,10000,10)

active ARFF public domain Visibility: public Uploaded 22-02-2015 by Jan van Rijn
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39 features

class (target)nominal6 unique values
0 missing
familynominal10 unique values
0 missing
product-typenominal3 unique values
0 missing
steelnominal9 unique values
0 missing
carbonnumeric299594 unique values
0 missing
hardnessnumeric245294 unique values
0 missing
temper_rollingnominal2 unique values
0 missing
conditionnominal4 unique values
0 missing
formabilitynominal6 unique values
0 missing
strengthnumeric270909 unique values
0 missing
non-ageingnominal2 unique values
0 missing
surface-finishnominal3 unique values
0 missing
surface-qualitynominal5 unique values
0 missing
enamelabilitynominal6 unique values
0 missing
bcnominal2 unique values
0 missing
bfnominal2 unique values
0 missing
btnominal2 unique values
0 missing
bw%2Fmenominal3 unique values
0 missing
blnominal2 unique values
0 missing
mnominal2 unique values
0 missing
chromnominal2 unique values
0 missing
phosnominal2 unique values
0 missing
cbondnominal2 unique values
0 missing
marvinominal2 unique values
0 missing
exptlnominal2 unique values
0 missing
ferronominal2 unique values
0 missing
corrnominal2 unique values
0 missing
blue%2Fbright%2Fvarn%2Fcleannominal5 unique values
0 missing
lustrenominal2 unique values
0 missing
jurofmnominal2 unique values
0 missing
snominal2 unique values
0 missing
pnominal2 unique values
0 missing
shapenominal2 unique values
0 missing
thicknumeric737778 unique values
0 missing
widthnumeric595346 unique values
0 missing
lennumeric292325 unique values
0 missing
oilnominal3 unique values
0 missing
borenominal4 unique values
0 missing
packingnominal4 unique values
0 missing

19 properties

1000000
Number of instances (rows) of the dataset.
39
Number of attributes (columns) of the dataset.
6
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.
6
Number of numeric attributes.
33
Number of nominal attributes.
48.72
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.6
Average class difference between consecutive instances.
0
Percentage of missing values.
0
Number of attributes divided by the number of instances.
15.38
Percentage of numeric attributes.
75.97
Percentage of instances belonging to the most frequent class.
84.62
Percentage of nominal attributes.
759652
Number of instances belonging to the most frequent class.
0.06
Percentage of instances belonging to the least frequent class.
555
Number of instances belonging to the least frequent class.
19
Number of binary attributes.

21 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - target_feature: class
0 runs - estimation_procedure: 33% Holdout set - 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
7 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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