{"run":{"run_id":"1770409","uploader":"1","uploader_name":"Jan van Rijn","task_id":"53895","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8849","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\":\"16\",\"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":"16","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":"4451927","name":"description","url":"https:\/\/www.openml.org\/data\/download\/4451927\/run8143959309822522941.xml"},{"did":"-1","file_id":"4451928","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/4451928\/subgroups4209822004297430835.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.889033","array_data":"[0.889033, 0.8869001, 0.8863745, 0.8862411, 0.8829078, 0.8823823, 0.8823823, 0.8796999, 0.8794411, 0.8794411, 0.8793077, 0.8789155, 0.8784994, 0.8763666, 0.8759744, 0.8747566, 0.8730332, 0.8730332, 0.8730332, 0.8728905, 0.8725077, 0.8719821, 0.8719821, 0.8716993, 0.8716993, 0.8695665, 0.8695665, 0.869041, 0.8685154, 0.8682326, 0.8678231, 0.8678231, 0.8664919, 0.8660998, 0.865957, 0.865957, 0.8655569, 0.8650487, 0.8650487, 0.862633, 0.862633, 0.862633, 0.8624997, 0.8624997, 0.8620902, 0.8612992, 0.8608897, 0.8608897, 0.8608897, 0.8607563, 0.8591663, 0.8591663, 0.8590236, 0.8590236, 0.8590236, 0.8590236, 0.8588995, 0.8578325, 0.8574229, 0.8556996, 0.8555569, 0.8543817, 0.8539562, 0.8536788, 0.8526251, 0.8526251, 0.8526251, 0.8526251, 0.8526251, 0.8524917, 0.8522422, 0.8522329, 0.8520902, 0.8517073, 0.8515566, 0.850899, 0.85008, 0.85008, 0.85008, 0.8487661, 0.8487661, 0.8484994, 0.8484807, 0.8484807, 0.8484807, 0.8478138, 0.847547, 0.8474323, 0.8466133, 0.8456916, 0.8456916, 0.8456916, 0.8453088, 0.8452995, 0.8450327, 0.8450327, 0.845014, 0.8448806, 0.8447472, 0.8443751]"},{"name":"coverage","value":"924","array_data":"[924, 914, 762, 763, 762, 610, 610, 916, 762, 762, 763, 610, 925, 915, 762, 1109, 914, 914, 914, 1097, 762, 610, 610, 924, 924, 914, 914, 762, 610, 924, 1109, 1109, 1067, 914, 1097, 1097, 1100, 610, 610, 914, 914, 914, 915, 915, 1100, 924, 1109, 1109, 1109, 1110, 914, 914, 1097, 1097, 1097, 1097, 916, 924, 1109, 914, 1097, 612, 1109, 1319, 1067, 1067, 1067, 1067, 1067, 1068, 732, 914, 1097, 762, 1101, 924, 1294, 1294, 1294, 914, 914, 916, 1280, 1280, 1280, 1285, 1287, 924, 1294, 1067, 1067, 1067, 732, 914, 916, 916, 1280, 1281, 1282, 739]"},{"name":"positives","value":"292","array_data":"[292, 291, 285, 285, 284, 278, 278, 289, 283, 283, 283, 277, 289, 288, 282, 295, 287, 287, 287, 294, 281, 275, 275, 287, 287, 286, 286, 280, 274, 286, 293, 293, 291, 285, 292, 292, 292, 273, 273, 284, 284, 284, 284, 284, 291, 284, 291, 291, 291, 291, 283, 283, 290, 290, 290, 290, 283, 283, 290, 282, 289, 270, 289, 297, 287, 287, 287, 287, 287, 287, 274, 281, 288, 275, 288, 281, 295, 295, 295, 280, 280, 280, 294, 294, 294, 294, 294, 280, 294, 285, 285, 285, 272, 279, 279, 279, 293, 293, 293, 272]"},{"name":"probability","value":"0.3160173","array_data":"[0.3160173, 0.3183807, 0.3740157, 0.3735256, 0.3727034, 0.4557377, 0.4557377, 0.3155022, 0.3713911, 0.3713911, 0.3709043, 0.4540984, 0.3124324, 0.3147541, 0.3700787, 0.2660054, 0.3140044, 0.3140044, 0.3140044, 0.2680036, 0.3687664, 0.4508197, 0.4508197, 0.3106061, 0.3106061, 0.3129103, 0.3129103, 0.3674541, 0.4491803, 0.3095238, 0.264202, 0.264202, 0.2727273, 0.3118162, 0.2661805, 0.2661805, 0.2654545, 0.447541, 0.447541, 0.3107221, 0.3107221, 0.3107221, 0.3103825, 0.3103825, 0.2645455, 0.3073593, 0.2623986, 0.2623986, 0.2623986, 0.2621622, 0.309628, 0.309628, 0.2643573, 0.2643573, 0.2643573, 0.2643573, 0.308952, 0.3062771, 0.2614968, 0.3085339, 0.2634458, 0.4411765, 0.2605951, 0.2251706, 0.2689784, 0.2689784, 0.2689784, 0.2689784, 0.2689784, 0.2687266, 0.3743169, 0.3074398, 0.2625342, 0.3608924, 0.2615804, 0.3041126, 0.2279753, 0.2279753, 0.2279753, 0.3063457, 0.3063457, 0.3056769, 0.2296875, 0.2296875, 0.2296875, 0.2287938, 0.2284382, 0.3030303, 0.2272025, 0.267104, 0.267104, 0.267104, 0.3715847, 0.3052516, 0.3045852, 0.3045852, 0.2289063, 0.2287276, 0.2285491, 0.368065]"},{"name":"quality","value":"0.8890329599380493","array_data":"[0.8890329599380493, 0.8869000673294067, 0.8863745331764221, 0.8862411379814148, 0.8829078078269958, 0.8823822736740112, 0.8823822736740112, 0.8796998858451843, 0.8794410824775696, 0.8794410824775696, 0.879307746887207, 0.878915548324585, 0.8784993886947632, 0.8763665556907654, 0.8759744167327881, 0.8747565746307373, 0.8730332255363464, 0.8730332255363464, 0.8730332255363464, 0.8728904724121094, 0.8725076913833618, 0.8719820976257324, 0.8719820976257324, 0.871699333190918, 0.871699333190918, 0.8695665001869202, 0.8695665001869202, 0.8690409660339355, 0.8685154318809509, 0.8682326078414917, 0.8678231239318848, 0.8678231239318848, 0.8664919137954712, 0.8660997748374939, 0.8659570217132568, 0.8659570217132568, 0.8655568957328796, 0.8650487065315247, 0.8650487065315247, 0.8626330494880676, 0.8626330494880676, 0.8626330494880676, 0.8624996542930603, 0.8624996542930603, 0.8620901703834534, 0.8612991571426392, 0.8608896732330322, 0.8608896732330322, 0.8608896732330322, 0.8607562780380249, 0.8591663241386414, 0.8591663241386414, 0.8590236306190491, 0.8590236306190491, 0.8590236306190491, 0.8590236306190491, 0.8588995337486267, 0.8578324913978577, 0.857422947883606, 0.8556995987892151, 0.8555569052696228, 0.8543817400932312, 0.8539562225341797, 0.853678822517395, 0.8526250720024109, 0.8526250720024109, 0.8526250720024109, 0.8526250720024109, 0.8526250720024109, 0.8524916768074036, 0.8522422313690186, 0.8522328734397888, 0.8520901799201965, 0.8517073392868042, 0.8515565991401672, 0.8508990406990051, 0.8500800132751465, 0.8500800132751465, 0.8500800132751465, 0.8487661480903625, 0.8487661480903625, 0.8484994173049927, 0.8484807014465332, 0.8484807014465332, 0.8484807014465332, 0.8478137850761414, 0.8475469946861267, 0.8474323153495789, 0.8466132879257202, 0.8456916213035583, 0.8456916213035583, 0.8456916213035583, 0.845308780670166, 0.845299482345581, 0.8450326919555664, 0.8450326919555664, 0.8450139760971069, 0.8448806405067444, 0.8447472453117371, 0.8443750739097595]"},{"name":"joint_entropy","value":"2.8084288324814692"},{"name":"pattern_team_auroc10","value":"0.9582986527944511"}]}}}