{"run":{"run_id":"1024393","uploader":"1","uploader_name":"Jan van Rijn","task_id":"55631","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8063","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"2\",\"maximum_time\":\"1.0\",\"search_strategy_width\":\"16\",\"numeric_strategy\":\"all\",\"numeric_operators\":\"≤, ≥, =<\\\/html>\",\"beta\":\"1.0\",\"minimum_coverage\":\"2\",\"nr_threads\":\"1\",\"search_strategy\":\"beam\",\"alpha\":\"0.5\",\"beam_seed\":\"\",\"use_nominal_sets\":\"false\",\"maximum_coverage_fraction\":\"1.0\",\"post_processing_do_autorun\":\"true\",\"nr_bins\":\"8\",\"maximum_subgroups\":\"100\"}","parameter_setting":[{"name":"search_depth","value":"2","component":"4221"},{"name":"minimum_coverage","value":"2","component":"4221"},{"name":"maximum_coverage_fraction","value":"1.0","component":"4221"},{"name":"maximum_subgroups","value":"100","component":"4221"},{"name":"maximum_time","value":"1.0","component":"4221"},{"name":"search_strategy","value":"beam","component":"4221"},{"name":"use_nominal_sets","value":"false","component":"4221"},{"name":"search_strategy_width","value":"16","component":"4221"},{"name":"numeric_operators","value":"≤, ≥, =<\/html>","component":"4221"},{"name":"numeric_strategy","value":"all","component":"4221"},{"name":"nr_bins","value":"8","component":"4221"},{"name":"nr_threads","value":"1","component":"4221"},{"name":"alpha","value":"0.5","component":"4221"},{"name":"beta","value":"1.0","component":"4221"},{"name":"post_processing_do_autorun","value":"true","component":"4221"},{"name":"post_processing_count","value":"20","component":"4221"},{"name":"beam_seed","value":[],"component":"4221"},{"name":"overall_ranking_loss","value":"0.0","component":"4221"}],"tag":"Cortana","input_data":{"dataset":{"did":"1492","name":"one-hundred-plants-shape","url":"https:\/\/www.openml.org\/data\/download\/1592284\/php0FyS2T"}},"output_data":{"file":[{"did":"-1","file_id":"2923319","name":"description","url":"https:\/\/www.openml.org\/data\/download\/2923319\/run8530118028181683059.xml"},{"did":"-1","file_id":"2923320","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/2923320\/subgroups2728653715560906985.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.9848485","array_data":"[0.9848485, 0.9848485, 0.9842172, 0.9842172, 0.9842172, 0.9842172, 0.9842172, 0.9835858, 0.9835858, 0.9835858, 0.9835858, 0.9835858, 0.9835858, 0.9829546, 0.9829546, 0.9829546, 0.9829546, 0.9829546, 0.9829546, 0.9829546, 0.9823232, 0.9823232, 0.9823232, 0.9823232, 0.9823232, 0.9823232, 0.9816919, 0.9816919, 0.9816919, 0.9816919, 0.9816919, 0.9816919, 0.9816919, 0.9816919, 0.9816919, 0.9816919, 0.9810606, 0.9810606, 0.9810606, 0.9810606, 0.9810606, 0.9810606, 0.9810606, 0.9810606, 0.9810606, 0.9810606, 0.9810606, 0.9810606, 0.9810606, 0.9810606, 0.9810606, 0.9810606, 0.9804293, 0.9804293, 0.9804293, 0.9804293, 0.9804293, 0.9804293, 0.9804293, 0.9804293, 0.9804293, 0.9804293, 0.9804293, 0.9804293, 0.9804293, 0.9804293, 0.9804293, 0.9804293, 0.9804293, 0.9804293, 0.979798, 0.979798, 0.979798, 0.979798, 0.979798, 0.979798, 0.979798, 0.979798, 0.979798, 0.979798, 0.979798, 0.979798, 0.979798, 0.979798, 0.979798, 0.9791667, 0.9791667, 0.9791667, 0.9791667, 0.9791667, 0.9791667, 0.9791667, 0.9791667, 0.9791667, 0.9791667, 0.9791667, 0.9791667, 0.9791667, 0.9785354, 0.9785354]"},{"name":"coverage","value":"40","array_data":"[40, 40, 41, 41, 41, 41, 41, 42, 42, 42, 42, 42, 42, 43, 43, 43, 43, 43, 43, 43, 44, 44, 44, 44, 44, 44, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 50, 50]"},{"name":"positives","value":"16","array_data":"[16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16]"},{"name":"probability","value":"0.4","array_data":"[0.4, 0.4, 0.3902439, 0.3902439, 0.3902439, 0.3902439, 0.3902439, 0.3809524, 0.3809524, 0.3809524, 0.3809524, 0.3809524, 0.3809524, 0.372093, 0.372093, 0.372093, 0.372093, 0.372093, 0.372093, 0.372093, 0.3636364, 0.3636364, 0.3636364, 0.3636364, 0.3636364, 0.3636364, 0.3555556, 0.3555556, 0.3555556, 0.3555556, 0.3555556, 0.3555556, 0.3555556, 0.3555556, 0.3555556, 0.3555556, 0.3478261, 0.3478261, 0.3478261, 0.3478261, 0.3478261, 0.3478261, 0.3478261, 0.3478261, 0.3478261, 0.3478261, 0.3478261, 0.3478261, 0.3478261, 0.3478261, 0.3478261, 0.3478261, 0.3404255, 0.3404255, 0.3404255, 0.3404255, 0.3404255, 0.3404255, 0.3404255, 0.3404255, 0.3404255, 0.3404255, 0.3404255, 0.3404255, 0.3404255, 0.3404255, 0.3404255, 0.3404255, 0.3404255, 0.3404255, 0.3333333, 0.3333333, 0.3333333, 0.3333333, 0.3333333, 0.3333333, 0.3333333, 0.3333333, 0.3333333, 0.3333333, 0.3333333, 0.3333333, 0.3333333, 0.3333333, 0.3333333, 0.3265306, 0.3265306, 0.3265306, 0.3265306, 0.3265306, 0.3265306, 0.3265306, 0.3265306, 0.3265306, 0.3265306, 0.3265306, 0.3265306, 0.3265306, 0.32, 0.32]"},{"name":"joint_entropy","value":"0.4557129247788051"},{"name":"pattern_team_auroc10","value":"0.9908459595959597"}]}}}