Data
BNG(anneal.ORIG,nominal,1000000)

BNG(anneal.ORIG,nominal,1000000)

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

class (target)nominal6 unique values
0 missing
familynominal9 unique values
0 missing
product-typenominal3 unique values
0 missing
steelnominal8 unique values
0 missing
carbonnominal3 unique values
0 missing
hardnessnominal3 unique values
0 missing
temper_rollingnominal1 unique values
0 missing
conditionnominal3 unique values
0 missing
formabilitynominal5 unique values
0 missing
strengthnominal3 unique values
0 missing
non-ageingnominal1 unique values
0 missing
surface-finishnominal2 unique values
0 missing
surface-qualitynominal4 unique values
0 missing
enamelabilitynominal5 unique values
0 missing
bcnominal1 unique values
0 missing
bfnominal1 unique values
0 missing
btnominal1 unique values
0 missing
bw%2Fmenominal2 unique values
0 missing
blnominal1 unique values
0 missing
mnominal1 unique values
0 missing
chromnominal1 unique values
0 missing
phosnominal1 unique values
0 missing
cbondnominal1 unique values
0 missing
marvinominal1 unique values
0 missing
exptlnominal1 unique values
0 missing
ferronominal1 unique values
0 missing
corrnominal1 unique values
0 missing
blue%2Fbright%2Fvarn%2Fcleannominal4 unique values
0 missing
lustrenominal1 unique values
0 missing
jurofmnominal1 unique values
0 missing
snominal1 unique values
0 missing
pnominal1 unique values
0 missing
shapenominal2 unique values
0 missing
thicknominal3 unique values
0 missing
widthnominal3 unique values
0 missing
lennominal3 unique values
0 missing
oilnominal2 unique values
0 missing
borenominal4 unique values
0 missing
packingnominal3 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.
0
Number of numeric attributes.
39
Number of nominal 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.
0
Percentage of numeric attributes.
75.95
Percentage of instances belonging to the most frequent class.
100
Percentage of nominal attributes.
759513
Number of instances belonging to the most frequent class.
0.06
Percentage of instances belonging to the least frequent class.
597
Number of instances belonging to the least frequent class.
4
Number of binary attributes.
10.26
Percentage of binary attributes.

25 tasks

20 runs - estimation_procedure: 10-fold Crossvalidation - 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: 33% Holdout set - 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
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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