Data
BNG(labor,nominal,1000000)

BNG(labor,nominal,1000000)

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

class (target)nominal2 unique values
0 missing
durationnominal3 unique values
0 missing
wage-increase-first-yearnominal3 unique values
0 missing
wage-increase-second-yearnominal3 unique values
0 missing
wage-increase-third-yearnominal3 unique values
0 missing
cost-of-living-adjustmentnominal3 unique values
0 missing
working-hoursnominal3 unique values
0 missing
pensionnominal3 unique values
0 missing
standby-paynominal3 unique values
0 missing
shift-differentialnominal3 unique values
0 missing
education-allowancenominal2 unique values
0 missing
statutory-holidaysnominal3 unique values
0 missing
vacationnominal3 unique values
0 missing
longterm-disability-assistancenominal2 unique values
0 missing
contribution-to-dental-plannominal3 unique values
0 missing
bereavement-assistancenominal2 unique values
0 missing
contribution-to-health-plannominal3 unique values
0 missing

19 properties

1000000
Number of instances (rows) of the dataset.
17
Number of attributes (columns) of the dataset.
2
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.
35.45
Percentage of instances belonging to the least frequent class.
354480
Number of instances belonging to the least frequent class.
4
Number of binary attributes.
23.53
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.54
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.
64.55
Percentage of instances belonging to the most frequent class.
100
Percentage of nominal attributes.
645520
Number of instances belonging to the most frequent class.

12 tasks

25 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
1 runs - estimation_procedure: 5 times 2-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: 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
45 runs - estimation_procedure: Interleaved Test then Train - target_feature: class
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