{"run":{"run_id":"1208839","uploader":"1","uploader_name":"Jan van Rijn","task_id":"53407","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8264","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"3\",\"maximum_time\":\"1.0\",\"search_strategy_width\":\"1\",\"numeric_strategy\":\"best-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\":\"8\",\"maximum_subgroups\":\"100\"}","parameter_setting":[{"name":"search_depth","value":"3","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":"1","component":"4221"},{"name":"numeric_operators","value":"≤, ≥, =<\/html>","component":"4221"},{"name":"numeric_strategy","value":"best-bins","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":"28","name":"optdigits","url":"https:\/\/www.openml.org\/data\/download\/28\/dataset_28_optdigits.arff"}},"output_data":{"file":[{"did":"-1","file_id":"3294965","name":"description","url":"https:\/\/www.openml.org\/data\/download\/3294965\/run5180065581384734059.xml"},{"did":"-1","file_id":"3294966","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/3294966\/subgroups8729125891663684925.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.9458563","array_data":"[0.9458563, 0.945052, 0.9427097, 0.9427097, 0.9418911, 0.9378977, 0.9375876, 0.9375876, 0.9371924, 0.9371924, 0.9369949, 0.9369949, 0.9365148, 0.9345393, 0.9345393, 0.9344267, 0.9344267, 0.9342292, 0.9342292, 0.9336224, 0.9336224, 0.9332414, 0.9332414, 0.9332272, 0.9332272, 0.9330439, 0.9247602, 0.9233632, 0.922573, 0.9216554, 0.9210209, 0.9203858, 0.9181986, 0.9164065, 0.9118486, 0.9116369, 0.9114677, 0.9112276, 0.9110442, 0.9092239, 0.9066699, 0.9064865, 0.9060489, 0.8992614, 0.8973283, 0.8969049, 0.8963264, 0.8925602, 0.889609, 0.8886212, 0.8829772, 0.8811851, 0.8810031, 0.8805797, 0.8768107, 0.8744259, 0.8722968, 0.8716319, 0.8706442, 0.8688662, 0.8652961, 0.8641108, 0.8616836, 0.8604856, 0.8596798, 0.8592988, 0.8591013, 0.856873, 0.8564913, 0.8554774, 0.8554774, 0.8533043, 0.8533043, 0.8506229, 0.8497484, 0.8497484, 0.8481652, 0.8479691, 0.8474033, 0.8464177, 0.8430452, 0.8412389, 0.8386545, 0.8386545, 0.8364418, 0.8364418, 0.8332498, 0.832883, 0.832883, 0.8318967, 0.8310909, 0.8289915, 0.828988, 0.8288081, 0.8271703, 0.8254497, 0.8215964, 0.8213819, 0.8193519, 0.8182098]"},{"name":"coverage","value":"681","array_data":"[681, 675, 707, 707, 691, 681, 743, 743, 745, 745, 746, 746, 688, 698, 698, 759, 759, 760, 760, 753, 753, 765, 765, 755, 755, 766, 677, 674, 678, 592, 706, 679, 680, 679, 692, 683, 704, 675, 686, 665, 688, 699, 671, 655, 695, 677, 690, 981, 583, 588, 677, 676, 969, 951, 678, 680, 1003, 674, 679, 688, 696, 702, 674, 952, 664, 676, 677, 930, 801, 1209, 1209, 1220, 1220, 1153, 1238, 1238, 682, 965, 706, 1134, 1141, 1130, 710, 710, 1255, 1255, 687, 709, 709, 996, 708, 1333, 628, 1344, 1171, 1361, 1169, 596, 989, 1166]"},{"name":"positives","value":"543","array_data":"[543, 542, 544, 544, 542, 539, 545, 545, 545, 545, 545, 545, 539, 539, 539, 545, 545, 545, 545, 544, 544, 545, 545, 544, 544, 545, 532, 531, 531, 522, 533, 530, 529, 528, 527, 526, 528, 525, 526, 523, 524, 525, 522, 517, 520, 518, 519, 546, 505, 505, 511, 510, 539, 537, 508, 507, 538, 505, 505, 505, 504, 504, 500, 527, 498, 499, 499, 523, 510, 550, 550, 550, 550, 542, 550, 550, 494, 522, 496, 538, 537, 535, 492, 492, 545, 545, 487, 489, 489, 517, 488, 549, 479, 550, 532, 550, 529, 472, 510, 527]"},{"name":"probability","value":"0.7973568","array_data":"[0.7973568, 0.802963, 0.7694484, 0.7694484, 0.7843705, 0.7914831, 0.7335128, 0.7335128, 0.7315436, 0.7315436, 0.730563, 0.730563, 0.7834302, 0.7722063, 0.7722063, 0.7180501, 0.7180501, 0.7171053, 0.7171053, 0.7224436, 0.7224436, 0.7124183, 0.7124183, 0.7205298, 0.7205298, 0.7114883, 0.7858198, 0.7878338, 0.7831858, 0.8817568, 0.7549575, 0.7805596, 0.7779412, 0.7776141, 0.7615607, 0.7701318, 0.75, 0.7777778, 0.7667638, 0.7864662, 0.7616279, 0.751073, 0.7779434, 0.789313, 0.7482014, 0.7651403, 0.7521739, 0.5565749, 0.8662093, 0.8588435, 0.7548006, 0.7544379, 0.5562436, 0.5646688, 0.7492625, 0.7455882, 0.5363908, 0.7492582, 0.7437408, 0.7340116, 0.7241379, 0.7179487, 0.7418398, 0.5535714, 0.75, 0.7381657, 0.7370753, 0.5623656, 0.6367041, 0.4549214, 0.4549214, 0.4508197, 0.4508197, 0.4700781, 0.4442649, 0.4442649, 0.7243402, 0.5409326, 0.7025496, 0.4744268, 0.4706398, 0.4734513, 0.6929577, 0.6929577, 0.4342629, 0.4342629, 0.7088792, 0.6897038, 0.6897038, 0.5190763, 0.6892655, 0.411853, 0.7627389, 0.4092262, 0.4543126, 0.4041146, 0.4525235, 0.7919463, 0.5156724, 0.4519726]"},{"name":"joint_entropy","value":"2.5646617891372387"},{"name":"pattern_team_auroc10","value":"0.9645515677286237"}]}}}