{"run":{"run_id":"1773114","uploader":"1","uploader_name":"Jan van Rijn","task_id":"53887","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8852","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"4\",\"maximum_time\":\"1.0\",\"search_strategy_width\":\"1024\",\"numeric_strategy\":\"bins\",\"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\":\"128\",\"maximum_subgroups\":\"100\"}","parameter_setting":[{"name":"search_depth","value":"4","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":"1024","component":"4221"},{"name":"numeric_operators","value":"≤, ≥<\/html>","component":"4221"},{"name":"numeric_strategy","value":"bins","component":"4221"},{"name":"nr_bins","value":"128","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":"300","name":"isolet","url":"https:\/\/www.openml.org\/data\/download\/52405\/phpB0xrNj"}},"output_data":{"file":[{"did":"-1","file_id":"4457337","name":"description","url":"https:\/\/www.openml.org\/data\/download\/4457337\/run6435470410284497154.xml"},{"did":"-1","file_id":"4457338","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/4457338\/subgroups6971462101369891172.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.9619888","array_data":"[0.9619888, 0.9613232, 0.9609217, 0.9603895, 0.959988, 0.9594571, 0.9594558, 0.9594558, 0.9590543, 0.9587902, 0.9586582, 0.9586568, 0.9586568, 0.9585221, 0.9581206, 0.9578578, 0.9578565, 0.9577231, 0.957455, 0.9574537, 0.9571909, 0.9571869, 0.9570548, 0.9569241, 0.9569241, 0.9569228, 0.9567894, 0.9565213, 0.9563866, 0.9562572, 0.9562532, 0.9559917, 0.9559904, 0.9559891, 0.9559878, 0.955725, 0.9555876, 0.9555876, 0.9555836, 0.9553195, 0.9553195, 0.9553182, 0.9551914, 0.9551901, 0.9551901, 0.9550554, 0.9550554, 0.9550527, 0.9549206, 0.9549206, 0.9547912, 0.9546539, 0.9546539, 0.9545218, 0.9543924, 0.9543911, 0.9543858, 0.9542564, 0.9542564, 0.9542524, 0.9542524, 0.9542511, 0.9542497, 0.9542484, 0.954123, 0.9541216, 0.9539883, 0.9539856, 0.9538535, 0.9537241, 0.9537202, 0.9537202, 0.9537202, 0.9535934, 0.9535921, 0.9535881, 0.9533226, 0.9533226, 0.9533213, 0.9533187, 0.9533187, 0.9533187, 0.9533187, 0.9531919, 0.9531919, 0.9531839, 0.9531826, 0.9530559, 0.9530545, 0.9530479, 0.9529198, 0.9529185, 0.9529185, 0.9527931, 0.9527904, 0.9527864, 0.9527864, 0.9527864, 0.9526584, 0.9526531]"},{"name":"coverage","value":"507","array_data":"[507, 486, 515, 493, 522, 474, 500, 500, 529, 479, 454, 480, 480, 507, 536, 460, 486, 487, 515, 541, 465, 543, 518, 467, 467, 493, 494, 522, 549, 472, 550, 448, 474, 500, 526, 450, 529, 529, 607, 557, 557, 583, 454, 480, 480, 507, 507, 559, 534, 534, 457, 536, 536, 511, 434, 460, 564, 487, 487, 565, 565, 591, 617, 643, 488, 514, 515, 567, 542, 465, 543, 543, 543, 414, 440, 518, 494, 494, 520, 572, 572, 572, 572, 443, 443, 599, 625, 496, 522, 652, 549, 575, 575, 420, 472, 550, 550, 550, 447, 551]"},{"name":"positives","value":"297","array_data":"[297, 296, 297, 296, 297, 295, 296, 296, 297, 295, 294, 295, 295, 296, 297, 294, 295, 295, 296, 297, 294, 297, 296, 294, 294, 295, 295, 296, 297, 294, 297, 293, 294, 295, 296, 293, 296, 296, 299, 297, 297, 298, 293, 294, 294, 295, 295, 297, 296, 296, 293, 296, 296, 295, 292, 293, 297, 294, 294, 297, 297, 298, 299, 300, 294, 295, 295, 297, 296, 293, 296, 296, 296, 291, 292, 295, 294, 294, 295, 297, 297, 297, 297, 292, 292, 298, 299, 294, 295, 300, 296, 297, 297, 291, 293, 296, 296, 296, 292, 296]"},{"name":"probability","value":"0.5857988","array_data":"[0.5857988, 0.6090535, 0.576699, 0.6004057, 0.5689655, 0.6223629, 0.592, 0.592, 0.5614367, 0.6158664, 0.6475771, 0.6145833, 0.6145833, 0.5838264, 0.5541045, 0.6391304, 0.6069959, 0.6057495, 0.5747573, 0.5489834, 0.6322581, 0.5469613, 0.5714286, 0.6295503, 0.6295503, 0.5983773, 0.597166, 0.5670498, 0.5409836, 0.6228814, 0.54, 0.6540179, 0.6202532, 0.59, 0.5627376, 0.6511111, 0.5595463, 0.5595463, 0.4925865, 0.5332136, 0.5332136, 0.5111492, 0.6453744, 0.6125, 0.6125, 0.581854, 0.581854, 0.5313059, 0.5543071, 0.5543071, 0.6411379, 0.5522388, 0.5522388, 0.5772994, 0.6728111, 0.6369565, 0.5265957, 0.6036961, 0.6036961, 0.5256637, 0.5256637, 0.5042301, 0.4846029, 0.466563, 0.602459, 0.57393, 0.5728155, 0.5238095, 0.5461255, 0.6301075, 0.5451197, 0.5451197, 0.5451197, 0.7028986, 0.6636364, 0.5694981, 0.5951417, 0.5951417, 0.5673077, 0.5192308, 0.5192308, 0.5192308, 0.5192308, 0.6591422, 0.6591422, 0.4974958, 0.4784, 0.5927419, 0.5651341, 0.4601227, 0.5391621, 0.5165217, 0.5165217, 0.6928571, 0.6207627, 0.5381818, 0.5381818, 0.5381818, 0.6532438, 0.5372051]"},{"name":"quality","value":"0.9619888067245483","array_data":"[0.9619888067245483, 0.9613232016563416, 0.9609217047691345, 0.9603894948959351, 0.959987998008728, 0.9594570994377136, 0.9594557881355286, 0.9594557881355286, 0.9590542912483215, 0.9587901830673218, 0.9586581587791443, 0.9586567878723145, 0.9586567878723145, 0.9585220813751221, 0.958120584487915, 0.9578577876091003, 0.9578564763069153, 0.957723081111908, 0.9574549794197083, 0.9574536681175232, 0.9571908712387085, 0.9571868777275085, 0.9570547938346863, 0.9569240808486938, 0.9569240808486938, 0.9569227695465088, 0.9567893743515015, 0.9565212726593018, 0.9563865661621094, 0.956257164478302, 0.956253170967102, 0.9559917449951172, 0.9559903740882874, 0.9559890627861023, 0.9559877514839172, 0.9557249546051025, 0.9555875658988953, 0.9555875658988953, 0.9555835723876953, 0.9553194642066956, 0.9553194642066956, 0.9553181529045105, 0.955191433429718, 0.9551900625228882, 0.9551900625228882, 0.9550553560256958, 0.9550553560256958, 0.9550526738166809, 0.9549206495285034, 0.9549206495285034, 0.954791247844696, 0.9546538591384888, 0.9546538591384888, 0.9545218348503113, 0.9543924331665039, 0.9543910622596741, 0.9543857574462891, 0.9542563557624817, 0.9542563557624817, 0.9542523622512817, 0.9542523622512817, 0.9542510509490967, 0.9542496800422668, 0.9542483687400818, 0.9541229605674744, 0.9541216492652893, 0.953988254070282, 0.9539855718612671, 0.9538535475730896, 0.9537241458892822, 0.9537201523780823, 0.9537201523780823, 0.9537201523780823, 0.9535934329032898, 0.9535921216011047, 0.9535881280899048, 0.9533226490020752, 0.9533226490020752, 0.9533213376998901, 0.9533186554908752, 0.9533186554908752, 0.9533186554908752, 0.9533186554908752, 0.9531919360160828, 0.9531919360160828, 0.9531839489936829, 0.953182578086853, 0.9530559182167053, 0.9530545473098755, 0.9530478715896606, 0.9529198408126831, 0.952918529510498, 0.952918529510498, 0.9527931213378906, 0.9527904391288757, 0.9527864456176758, 0.9527864456176758, 0.9527864456176758, 0.9526584148406982, 0.9526530504226685]"},{"name":"joint_entropy","value":"0.9826943977135678"},{"name":"pattern_team_auroc10","value":"0.9893288426481704"}]}}}