Agrawal1
| Issue |
#Downvotes for this reason |
By |
|
10 features
| class (target) | nominal | 2 unique values
0 missing | |
| salary | numeric | 974969 unique values
0 missing | |
| commission | numeric | 412917 unique values
0 missing | |
| age | numeric | 61 unique values
0 missing | |
| elevel | nominal | 5 unique values
0 missing | |
| car | nominal | 20 unique values
0 missing | |
| zipcode | nominal | 9 unique values
0 missing | |
| hvalue | numeric | 113321 unique values
0 missing | |
| hyears | numeric | 30 unique values
0 missing | |
| loan | numeric | 974942 unique values
0 missing | |
19 properties
1000000
Number of instances (rows) of the dataset.
10
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.
6
Number of numeric attributes.
4
Number of nominal attributes.
10
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.56
Average class difference between consecutive instances.
0
Percentage of missing values.
0
Number of attributes divided by the number of instances.
60
Percentage of numeric attributes.
67.2
Percentage of instances belonging to the most frequent class.
40
Percentage of nominal attributes.
672045
Number of instances belonging to the most frequent class.
32.8
Percentage of instances belonging to the least frequent class.
327955
Number of instances belonging to the least frequent class.
1
Number of binary attributes.
21 tasks
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - target_feature: class
0 runs - estimation_procedure: 33% Holdout set - 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
311 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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