Run
OpenML
Help
Sign in
×
Sign in
No account? Join OpenML
Forgot password
×
JavaScript is required to properly view the contents of this page!
OpenML
Explore
Data
Task
Flow
Run
Study
Task type
Measure
People
Help
Blog
Contact
Please cite us
1700134
JSON
XML
RDF
Run 1700134
Task 55567 (Subgroup Discovery)
one-hundred-plants-shape
Uploaded 23-07-2016 by
Jan van Rijn
0 likes
downloaded by 0 people
0 issues
0 downvotes
, 0 total downloads
Cortana
Add tag
Issue
#Downvotes for this reason
By
Flow
SubgroupDiscovery(1)
Subgroup Discovery search algorithm.
SubgroupDiscovery(1)_search_depth
4
SubgroupDiscovery(1)_minimum_coverage
2
SubgroupDiscovery(1)_maximum_coverage_fraction
1.0
SubgroupDiscovery(1)_maximum_subgroups
100
SubgroupDiscovery(1)_maximum_time
1.0
SubgroupDiscovery(1)_search_strategy
beam
SubgroupDiscovery(1)_use_nominal_sets
false
SubgroupDiscovery(1)_search_strategy_width
1
SubgroupDiscovery(1)_numeric_operators
≤, ≥
SubgroupDiscovery(1)_numeric_strategy
best-bins
SubgroupDiscovery(1)_nr_bins
2
SubgroupDiscovery(1)_nr_threads
1
SubgroupDiscovery(1)_alpha
0.5
SubgroupDiscovery(1)_beta
1.0
SubgroupDiscovery(1)_post_processing_do_autorun
true
SubgroupDiscovery(1)_post_processing_count
20
SubgroupDiscovery(1)_beam_seed
SubgroupDiscovery(1)_overall_ranking_loss
0.0
Result files
xml
Description
XML file describing the run, including user-defined evaluation measures.
csv
Subgroups
7 Evaluation measures
Cortana quality
0.8194
Coverage
102
Positives
14
Probability
0.1373
Quality
0.8194
Joint entropy
5.0392
Pattern team auroc10
0.8785