Data
BNG(letter,1000,1)

BNG(letter,1000,1)

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-boxnumeric394016 unique values
0 missing
y-boxnumeric830833 unique values
0 missing
widthnumeric385589 unique values
0 missing
highnumeric647554 unique values
0 missing
onpixnumeric519782 unique values
0 missing
x-barnumeric366271 unique values
0 missing
y-barnumeric509531 unique values
0 missing
x2barnumeric626139 unique values
0 missing
y2barnumeric631034 unique values
0 missing
xybarnumeric575180 unique values
0 missing
x2ybrnumeric569338 unique values
0 missing
xy2brnumeric382266 unique values
0 missing
x-egenumeric510406 unique values
0 missing
xegvynumeric328081 unique values
0 missing
y-egenumeric637720 unique values
0 missing
yegvxnumeric336914 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.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
0.04
Average class difference between consecutive instances.
94.12
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
5.88
Percentage of nominal attributes.
4.08
Percentage of instances belonging to the most frequent class.
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.

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
31 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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