BNG(labor)
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17 features
class (target) | nominal | 2 unique values 0 missing | |
duration | numeric | 3 unique values 0 missing | |
wage-increase-first-year | numeric | 789115 unique values 0 missing | |
wage-increase-second-year | numeric | 610550 unique values 0 missing | |
wage-increase-third-year | numeric | 173071 unique values 0 missing | |
cost-of-living-adjustment | nominal | 3 unique values 0 missing | |
working-hours | numeric | 448499 unique values 0 missing | |
pension | nominal | 3 unique values 0 missing | |
standby-pay | numeric | 96415 unique values 0 missing | |
shift-differential | numeric | 244986 unique values 0 missing | |
education-allowance | nominal | 2 unique values 0 missing | |
statutory-holidays | numeric | 225993 unique values 0 missing | |
vacation | nominal | 3 unique values 0 missing | |
longterm-disability-assistance | nominal | 2 unique values 0 missing | |
contribution-to-dental-plan | nominal | 3 unique values 0 missing | |
bereavement-assistance | nominal | 2 unique values 0 missing | |
contribution-to-health-plan | nominal | 3 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
Define a new task