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BNG(labor)

BNG(labor)

active ARFF Publicly available Visibility: public Uploaded 28-04-2014 by Jan van Rijn
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17 features

class (target)nominal2 unique values
0 missing
durationnumeric3 unique values
0 missing
wage-increase-first-yearnumeric789115 unique values
0 missing
wage-increase-second-yearnumeric610550 unique values
0 missing
wage-increase-third-yearnumeric173071 unique values
0 missing
cost-of-living-adjustmentnominal3 unique values
0 missing
working-hoursnumeric448499 unique values
0 missing
pensionnominal3 unique values
0 missing
standby-paynumeric96415 unique values
0 missing
shift-differentialnumeric244986 unique values
0 missing
education-allowancenominal2 unique values
0 missing
statutory-holidaysnumeric225993 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.
8
Number of numeric attributes.
9
Number of nominal attributes.
353000
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
Percentage of missing values.
0.54
Average class difference between consecutive instances.
47.06
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
52.94
Percentage of nominal attributes.
64.7
Percentage of instances belonging to the most frequent class.
647000
Number of instances belonging to the most frequent class.
35.3
Percentage of instances belonging to the least frequent class.

24 tasks

22 runs - estimation_procedure: 10-fold Crossvalidation - 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: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - 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
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
310 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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