Data
BNG(letter,1000,5)

BNG(letter,1000,5)

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

class (target)nominal26 unique values
0 missing
x-boxnumeric394485 unique values
0 missing
y-boxnumeric833612 unique values
0 missing
widthnumeric395679 unique values
0 missing
highnumeric637456 unique values
0 missing
onpixnumeric517343 unique values
0 missing
x-barnumeric373660 unique values
0 missing
y-barnumeric516094 unique values
0 missing
x2barnumeric612026 unique values
0 missing
y2barnumeric617179 unique values
0 missing
xybarnumeric571179 unique values
0 missing
x2ybrnumeric568783 unique values
0 missing
xy2brnumeric382305 unique values
0 missing
x-egenumeric507072 unique values
0 missing
xegvynumeric340136 unique values
0 missing
y-egenumeric631136 unique values
0 missing
yegvxnumeric354809 unique values
0 missing

19 properties

1000000
Number of instances (rows) of the dataset.
17
Number of attributes (columns) of the dataset.
26
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.
16
Number of numeric attributes.
1
Number of nominal attributes.
40765
Number of instances belonging to the most frequent class.
3.68
Percentage of instances belonging to the least frequent class.
36811
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.04
Average class difference between consecutive instances.
0
Percentage of missing values.
0
Number of attributes divided by the number of instances.
94.12
Percentage of numeric attributes.
4.08
Percentage of instances belonging to the most frequent class.
5.88
Percentage of nominal attributes.

21 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - 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
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
30 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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