BNG(solar-flare)
active
ARFF
public domain
Visibility: public
Uploaded 12-11-2014 by
Jan van Rijn
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downloaded by 2 people , 2 total downloads
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13 features
| X-class_flares_production_by_this_region (target) | nominal | 3 unique values
0 missing | |
| class | nominal | 6 unique values
0 missing | |
| largest_spot_size | nominal | 6 unique values
0 missing | |
| spot_distribution | nominal | 4 unique values
0 missing | |
| Activity | nominal | 2 unique values
0 missing | |
| Evolution | nominal | 3 unique values
0 missing | |
| Previous_24_hour_flare_activity_code | nominal | 3 unique values
0 missing | |
| Historically-complex | nominal | 2 unique values
0 missing | |
| Did_region_become_historically_complex | nominal | 2 unique values
0 missing | |
| Area | nominal | 2 unique values
0 missing | |
| Area_of_the_largest_spot | nominal | 1 unique values
0 missing | |
| C-class_flares_production_by_this_region | nominal | 8 unique values
0 missing | |
| M-class_flares_production_by_this_region | nominal | 6 unique values
0 missing | |
19 properties
1000000
Number of instances (rows) of the dataset.
13
Number of attributes (columns) of the dataset.
3
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.
13
Number of nominal attributes.
994382
Number of instances belonging to the most frequent class.
0.14
Percentage of instances belonging to the least frequent class.
1393
Number of instances belonging to the least frequent class.
4
Number of binary attributes.
30.77
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
0.99
Average class difference between consecutive instances.
0
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
100
Percentage of nominal attributes.
99.44
Percentage of instances belonging to the most frequent class.
22 tasks
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - 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
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
292 runs - estimation_procedure: Interleaved Test then Train - target_feature: class
45 runs - estimation_procedure: Interleaved Test then Train - target_feature: X-class_flares_production_by_this_region
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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