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Severity: Warning

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Function: fopen

File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
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Function: sql

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Function: query

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File: /var/www/openml/index.php
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Function: require_once

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Severity: Warning

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Backtrace:

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Function: fopen

File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
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Function: sql

File: /var/www/openml/openml_OS/views/pages/frontend/t/pre.php
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Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.php
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File: /var/www/openml/openml_OS/controllers/Frontend.php
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Function: loadpage

File: /var/www/openml/index.php
Line: 337
Function: require_once

OpenML
Task
Supervised Classification on heart-c

Supervised Classification on heart-c

Task 278 Supervised Classification heart-c 322 runs submitted
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322 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8483, kappa: 0.6968, kb_relative_information_score: 53.0987, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8497, predictive_accuracy: 0.8485, prior_entropy: 1.0792, recall: 0.8485, relative_absolute_error: 0.4556, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.7444, scimark_benchmark: 1363.454, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.8282, kappa: 0.6567, kb_relative_information_score: 13.3538, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8296, predictive_accuracy: 0.8283, prior_entropy: 1.0792, recall: 0.8283, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.9082, scimark_benchmark: 938.343, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.827, kappa: 0.6572, kb_relative_information_score: 13.34, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8398, predictive_accuracy: 0.8283, prior_entropy: 1.0792, recall: 0.8283, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.9082, scimark_benchmark: 1287.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8369, kappa: 0.6774, kb_relative_information_score: 55.6124, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8531, predictive_accuracy: 0.8384, prior_entropy: 1.0792, recall: 0.8384, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.22, root_relative_squared_error: 0.6925, scimark_benchmark: 1321.527, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6122, f_measure: 0.5475, kappa: 0.2262, kb_relative_information_score: 22.9382, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7819, predictive_accuracy: 0.6162, prior_entropy: 1.0792, recall: 0.6162, relative_absolute_error: 0.7596, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.3918, root_relative_squared_error: 1.2332, scimark_benchmark: 1386.5717, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.798, kappa: 0.5959, kb_relative_information_score: 51.433, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.798, predictive_accuracy: 0.798, prior_entropy: 1.0792, recall: 0.798, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.7812, scimark_benchmark: 1072.3689, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8586, kappa: 0.7173, kb_relative_information_score: 47.193, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8592, predictive_accuracy: 0.8586, prior_entropy: 1.0792, recall: 0.8586, relative_absolute_error: 0.5353, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.693, scimark_benchmark: 1073.494, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.7777, kappa: 0.5557, kb_relative_information_score: 52.7537, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7783, predictive_accuracy: 0.7778, prior_entropy: 1.0792, recall: 0.7778, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9287, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.8181, kappa: 0.6365, kb_relative_information_score: 44.8398, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8188, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.5639, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.8162, scimark_benchmark: 1066.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.8081, kappa: 0.6162, kb_relative_information_score: 46.2606, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8082, predictive_accuracy: 0.8081, prior_entropy: 1.0792, recall: 0.8081, relative_absolute_error: 0.5404, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.261, root_relative_squared_error: 0.8214, scimark_benchmark: 1341.5768, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.7362, kappa: 0.4741, kb_relative_information_score: 45.2295, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7406, predictive_accuracy: 0.7374, prior_entropy: 1.0792, recall: 0.7374, relative_absolute_error: 0.5197, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.3241, root_relative_squared_error: 1.0201, scimark_benchmark: 1442.7264, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5198, kappa: 0.1984, kb_relative_information_score: 19.0313, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7776, predictive_accuracy: 0.596, prior_entropy: 1.0792, recall: 0.596, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.402, root_relative_squared_error: 1.2652, scimark_benchmark: 1368.9272, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.787, kappa: 0.5763, kb_relative_information_score: 49.079, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.794, predictive_accuracy: 0.7879, prior_entropy: 1.0792, recall: 0.7879, relative_absolute_error: 0.4969, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.8599, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.68, kappa: 0.3756, kb_relative_information_score: 35.8625, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7067, predictive_accuracy: 0.6869, prior_entropy: 1.0792, recall: 0.6869, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.3539, root_relative_squared_error: 1.1138, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.8059, kappa: 0.617, kb_relative_information_score: 58.2365, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8245, predictive_accuracy: 0.8081, prior_entropy: 1.0792, recall: 0.8081, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.872, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3277, kb_relative_information_score: -0.5458, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.245, predictive_accuracy: 0.4949, prior_entropy: 1.0792, recall: 0.4949, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.3195, root_relative_squared_error: 1.0056, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.7573, kappa: 0.5155, kb_relative_information_score: 42.3308, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7595, predictive_accuracy: 0.7576, prior_entropy: 1.0792, recall: 0.7576, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.8898, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, build_cpu_time: 0.473, build_memory: 594935424, f_measure: 0.827, kappa: 0.6572, kb_relative_information_score: 52.5197, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8398, predictive_accuracy: 0.8283, prior_entropy: 1.0792, recall: 0.8283, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.7421, scimark_benchmark: 941.9296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, build_cpu_time: 0.438, build_memory: 1542415232, f_measure: 0.827, kappa: 0.6572, kb_relative_information_score: 52.5197, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8398, predictive_accuracy: 0.8283, prior_entropy: 1.0792, recall: 0.8283, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.7421, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, build_cpu_time: 0.404, build_memory: 1006690736, f_measure: 0.827, kappa: 0.6572, kb_relative_information_score: 52.5197, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8398, predictive_accuracy: 0.8283, prior_entropy: 1.0792, recall: 0.8283, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.7421, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, build_cpu_time: 0.281, build_memory: 951930024, f_measure: 0.827, kappa: 0.6572, kb_relative_information_score: 48.4474, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8398, predictive_accuracy: 0.8283, prior_entropy: 1.0792, recall: 0.8283, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.7327, scimark_benchmark: 926.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, build_cpu_time: 0.186, build_memory: 705055296, f_measure: 0.827, kappa: 0.6572, kb_relative_information_score: 45.2584, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8398, predictive_accuracy: 0.8283, prior_entropy: 1.0792, recall: 0.8283, relative_absolute_error: 0.5607, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.7316, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, build_cpu_time: 0.016, build_memory: 955731072, f_measure: 0.8171, kappa: 0.6369, kb_relative_information_score: 57.4931, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.827, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.7683, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, build_cpu_time: 0.042, build_memory: 227521280, f_measure: 0.7968, kappa: 0.5966, kb_relative_information_score: 54.8022, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8063, predictive_accuracy: 0.798, prior_entropy: 1.0792, recall: 0.798, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.262, root_relative_squared_error: 0.8247, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, build_cpu_time: 0.035, build_memory: 1380291072, f_measure: 0.8379, kappa: 0.6771, kb_relative_information_score: 59.418, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8436, predictive_accuracy: 0.8384, prior_entropy: 1.0792, recall: 0.8384, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.7737, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, build_cpu_time: 0.06, build_memory: 1145809280, f_measure: 0.8379, kappa: 0.6771, kb_relative_information_score: 59.418, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8436, predictive_accuracy: 0.8384, prior_entropy: 1.0792, recall: 0.8384, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.7737, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, build_cpu_time: 0.041, build_memory: 2002444072, f_measure: 0.8379, kappa: 0.6771, kb_relative_information_score: 59.418, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8436, predictive_accuracy: 0.8384, prior_entropy: 1.0792, recall: 0.8384, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.7737, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, build_cpu_time: 0.004, build_memory: 515562152, f_measure: 0.7472, kappa: 0.4946, kb_relative_information_score: 48.3844, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7482, predictive_accuracy: 0.7475, prior_entropy: 1.0792, recall: 0.7475, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.9751, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, build_cpu_time: 0.004, build_memory: 2436652688, f_measure: 0.7472, kappa: 0.4946, kb_relative_information_score: 48.3844, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7482, predictive_accuracy: 0.7475, prior_entropy: 1.0792, recall: 0.7475, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.9751, scimark_benchmark: 934.6076,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, build_cpu_time: 0.045, build_memory: 2270059672, f_measure: 0.7977, kappa: 0.5962, kb_relative_information_score: 45.9748, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8001, predictive_accuracy: 0.798, prior_entropy: 1.0792, recall: 0.798, relative_absolute_error: 0.5411, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.7142, scimark_benchmark: 943.8094,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, build_cpu_time: 0.002, build_memory: 1087509712, f_measure: 0.8483, kappa: 0.6968, kb_relative_information_score: 59.3517, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8497, predictive_accuracy: 0.8485, prior_entropy: 1.0792, recall: 0.8485, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.6727, scimark_benchmark: 932.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, build_cpu_time: 0.001, build_memory: 277118552, f_measure: 0.8182, kappa: 0.6363, kb_relative_information_score: 59.4907, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8182, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.6817, scimark_benchmark: 875.7999,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, build_cpu_time: 0.009, build_memory: 162240296, f_measure: 0.8073, kappa: 0.6167, kb_relative_information_score: 48.4021, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8146, predictive_accuracy: 0.8081, prior_entropy: 1.0792, recall: 0.8081, relative_absolute_error: 0.5183, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.789, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, build_cpu_time: 0.001, build_memory: 580436288, f_measure: 0.7675, kappa: 0.5356, kb_relative_information_score: 48.984, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7688, predictive_accuracy: 0.7677, prior_entropy: 1.0792, recall: 0.7677, relative_absolute_error: 0.4866, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.9483, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, build_cpu_time: 0.014, build_memory: 736420504, f_measure: 0.8282, kappa: 0.6567, kb_relative_information_score: 13.3538, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8296, predictive_accuracy: 0.8283, prior_entropy: 1.0792, recall: 0.8283, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.9082, scimark_benchmark: 931.9838,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, build_memory: 137298752, f_measure: 0.8687, kappa: 0.7373, kb_relative_information_score: 64.9728, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8688, predictive_accuracy: 0.8687, prior_entropy: 1.0792, recall: 0.8687, relative_absolute_error: 0.3195, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.6405, scimark_benchmark: 946.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, build_cpu_time: 0.014, build_memory: 625232768, f_measure: 0.8176, kappa: 0.6368, kb_relative_information_score: 44.1191, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8231, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.7152, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, build_cpu_time: 0.008, build_memory: 139359472, f_measure: 0.8379, kappa: 0.6771, kb_relative_information_score: 51.655, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8436, predictive_accuracy: 0.8384, prior_entropy: 1.0792, recall: 0.8384, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.6991, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, build_cpu_time: 0.007, build_memory: 65004736, f_measure: 0.8379, kappa: 0.6771, kb_relative_information_score: 51.655, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8436, predictive_accuracy: 0.8384, prior_entropy: 1.0792, recall: 0.8384, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.6991, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, build_cpu_time: 0.001, build_memory: 399699384, f_measure: 0.68, kappa: 0.3756, kb_relative_information_score: 35.8625, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7067, predictive_accuracy: 0.6869, prior_entropy: 1.0792, recall: 0.6869, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.3539, root_relative_squared_error: 1.1138, scimark_benchmark: 946.5615,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, build_cpu_time: 0.004, build_memory: 679555224, f_measure: 0.7573, kappa: 0.5155, kb_relative_information_score: 42.3308, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7595, predictive_accuracy: 0.7576, prior_entropy: 1.0792, recall: 0.7576, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.8898, scimark_benchmark: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, build_cpu_time: 0.163, build_memory: 1345510248, f_measure: 0.8067, kappa: 0.6168, kb_relative_information_score: 12.8149, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8189, predictive_accuracy: 0.8081, prior_entropy: 1.0792, recall: 0.8081, relative_absolute_error: 0.9012, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9112, scimark_benchmark: 932.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, build_cpu_time: 0.472, build_memory: 762078152, f_measure: 0.8165, kappa: 0.6371, kb_relative_information_score: 13.0562, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.832, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.909, scimark_benchmark: 941.7372,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs

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