RandomRBF_0_0
| Issue |
#Downvotes for this reason |
By |
|
11 features
| class (target) | nominal | 5 unique values
0 missing | |
| att1 | numeric | 658258 unique values
0 missing | |
| att2 | numeric | 680666 unique values
0 missing | |
| att3 | numeric | 647587 unique values
0 missing | |
| att4 | numeric | 676097 unique values
0 missing | |
| att5 | numeric | 644592 unique values
0 missing | |
| att6 | numeric | 678621 unique values
0 missing | |
| att7 | numeric | 685881 unique values
0 missing | |
| att8 | numeric | 675734 unique values
0 missing | |
| att9 | numeric | 670341 unique values
0 missing | |
| att10 | numeric | 663734 unique values
0 missing | |
19 properties
1000000
Number of instances (rows) of the dataset.
11
Number of attributes (columns) of the dataset.
5
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.
10
Number of numeric attributes.
1
Number of nominal attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
0.23
Average class difference between consecutive instances.
90.91
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
9.09
Percentage of nominal attributes.
30.01
Percentage of instances belonging to the most frequent class.
300096
Number of instances belonging to the most frequent class.
9.27
Percentage of instances belonging to the least frequent class.
92713
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
25 tasks
19 runs - estimation_procedure: 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 times 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-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
279 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