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BNG(kr-vs-kp,1000,5)

BNG(kr-vs-kp,1000,5)

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

class (target)nominal2 unique values
0 missing
bkblknominal2 unique values
0 missing
bknwynominal2 unique values
0 missing
bkon8nominal2 unique values
0 missing
bkonanominal2 unique values
0 missing
bksprnominal2 unique values
0 missing
bkxbqnominal2 unique values
0 missing
bkxcrnominal2 unique values
0 missing
bkxwpnominal2 unique values
0 missing
blxwpnominal2 unique values
0 missing
bxqsqnominal2 unique values
0 missing
cntxtnominal2 unique values
0 missing
dsoppnominal2 unique values
0 missing
dwipdnominal2 unique values
0 missing
hdchknominal2 unique values
0 missing
katrinominal3 unique values
0 missing
mulchnominal2 unique values
0 missing
qxmsqnominal2 unique values
0 missing
r2ar8nominal2 unique values
0 missing
reskdnominal2 unique values
0 missing
reskrnominal2 unique values
0 missing
rimmxnominal2 unique values
0 missing
rkxwpnominal2 unique values
0 missing
rxmsqnominal2 unique values
0 missing
simplnominal2 unique values
0 missing
skachnominal2 unique values
0 missing
skewrnominal2 unique values
0 missing
skrxpnominal2 unique values
0 missing
spcopnominal2 unique values
0 missing
stlmtnominal2 unique values
0 missing
thrsknominal2 unique values
0 missing
wkctinominal2 unique values
0 missing
wkna8nominal2 unique values
0 missing
wkncknominal2 unique values
0 missing
wkovlnominal2 unique values
0 missing
wkposnominal2 unique values
0 missing
wtoegnominal3 unique values
0 missing
Show all 37 features

19 properties

NumberOfInstances
1000000
Number of instances (rows) of the dataset.
NumberOfFeatures
37
Number of attributes (columns) of the dataset.
NumberOfClasses
2
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
0
Number of numeric attributes.
NumberOfSymbolicFeatures
37
Number of nominal attributes.
PercentageOfNumericFeatures
0
Percentage of numeric attributes.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfSymbolicFeatures
100
Percentage of nominal attributes.
MajorityClassPercentage
52.19
Percentage of instances belonging to the most frequent class.
MajorityClassSize
521875
Number of instances belonging to the most frequent class.
MinorityClassPercentage
47.81
Percentage of instances belonging to the least frequent class.
MinorityClassSize
478125
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
35
Number of binary attributes.
PercentageOfBinaryFeatures
94.59
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
AutoCorrelation
0.5
Average class difference between consecutive instances.
Show all 19 properties

21 tasks

Supervised Classification on BNG(kr-vs-kp,1000,5)
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - target_feature: class
Supervised Classification on BNG(kr-vs-kp,1000,5)
0 runs - estimation_procedure: 33% Holdout set - target_feature: class
Learning Curve on BNG(kr-vs-kp,1000,5)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(kr-vs-kp,1000,5)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(kr-vs-kp,1000,5)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(kr-vs-kp,1000,5)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(kr-vs-kp,1000,5)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(kr-vs-kp,1000,5)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(kr-vs-kp,1000,5)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Supervised Data Stream Classification on BNG(kr-vs-kp,1000,5)
29 runs - estimation_procedure: Interleaved Test then Train - target_feature: class
Clustering on BNG(kr-vs-kp,1000,5)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(kr-vs-kp,1000,5)
0 runs
Clustering on BNG(kr-vs-kp,1000,5)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(kr-vs-kp,1000,5)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(kr-vs-kp,1000,5)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(kr-vs-kp,1000,5)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(kr-vs-kp,1000,5)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(kr-vs-kp,1000,5)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(kr-vs-kp,1000,5)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(kr-vs-kp,1000,5)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(kr-vs-kp,1000,5)
0 runs - estimation_procedure: 50 times Clustering
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