Data
BNG(letter,nominal,1000000)

BNG(letter,nominal,1000000)

active ARFF Publicly available Visibility: public Uploaded 08-04-2014 by Jan van Rijn
0 likes downloaded by 2 people , 2 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit

17 features

class (target)nominal26 unique values
0 missing
x-boxnominal3 unique values
0 missing
y-boxnominal3 unique values
0 missing
widthnominal3 unique values
0 missing
highnominal3 unique values
0 missing
onpixnominal3 unique values
0 missing
x-barnominal3 unique values
0 missing
y-barnominal3 unique values
0 missing
x2barnominal3 unique values
0 missing
y2barnominal3 unique values
0 missing
xybarnominal3 unique values
0 missing
x2ybrnominal3 unique values
0 missing
xy2brnominal3 unique values
0 missing
x-egenominal3 unique values
0 missing
xegvynominal3 unique values
0 missing
y-egenominal3 unique values
0 missing
yegvxnominal3 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.
0
Number of numeric attributes.
17
Number of nominal 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.
0
Percentage of numeric attributes.
4.08
Percentage of instances belonging to the most frequent class.
100
Percentage of nominal attributes.
40828
Number of instances belonging to the most frequent class.
3.65
Percentage of instances belonging to the least frequent class.
36483
Number of instances belonging to the least frequent class.
0
Number of binary attributes.

12 tasks

18 runs - estimation_procedure: 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: 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: 5 times 2-fold Crossvalidation - 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 - 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
42 runs - estimation_procedure: Interleaved Test then Train - target_feature: class
Define a new task