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Backtrace:

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

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

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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: loadpage

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

OpenML
OpenML
Supervised Classification on waveform-5000

Supervised Classification on waveform-5000

Task 58 Supervised Classification waveform-5000 14815 runs submitted
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Visibility: Public
  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_73 under100k under1m
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14815 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, build_cpu_time: 5.2758, build_memory: 556070321.6, f_measure: 0.7323, kappa: 0.5986, kb_relative_information_score: 3167.4918, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7322, predictive_accuracy: 0.7324, prior_entropy: 1.5849, recall: 0.7324, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8957, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, build_cpu_time: 4.9199, build_memory: 201718709.6, f_measure: 0.7323, kappa: 0.5986, kb_relative_information_score: 3167.4918, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7322, predictive_accuracy: 0.7324, prior_entropy: 1.5849, recall: 0.7324, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8957, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, build_cpu_time: 4.8965, build_memory: 138019268, f_measure: 0.7323, kappa: 0.5986, kb_relative_information_score: 3167.4918, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7322, predictive_accuracy: 0.7324, prior_entropy: 1.5849, recall: 0.7324, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8957, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, build_cpu_time: 0.5107, build_memory: 98782528.8, f_measure: 0.6558, kappa: 0.5238, kb_relative_information_score: 1151.6093, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7232, predictive_accuracy: 0.6818, prior_entropy: 1.5849, recall: 0.6818, relative_absolute_error: 0.8486, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8711, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, build_cpu_time: 45.1083, build_memory: 2120667141.6, f_measure: 0.8236, kappa: 0.7357, kb_relative_information_score: 3808.4891, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8237, predictive_accuracy: 0.8238, prior_entropy: 1.5849, recall: 0.8238, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6932, scimark_benchmark: 936.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, build_cpu_time: 22.3267, build_memory: 1218538422.4, f_measure: 0.8126, kappa: 0.7192, kb_relative_information_score: 3726.9912, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8127, predictive_accuracy: 0.8128, prior_entropy: 1.5849, recall: 0.8128, relative_absolute_error: 0.283, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6975, scimark_benchmark: 906.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, build_cpu_time: 0.7176, build_memory: 736108880, f_measure: 0.8487, kappa: 0.7739, kb_relative_information_score: 3821.0928, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8499, predictive_accuracy: 0.8492, prior_entropy: 1.5849, recall: 0.8492, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5572, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, build_cpu_time: 0.0906, build_memory: 429138120, f_measure: 0.8454, kappa: 0.7694, kb_relative_information_score: 3818.6259, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8478, predictive_accuracy: 0.8462, prior_entropy: 1.5849, recall: 0.8462, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.5632, scimark_benchmark: 938.8276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, build_cpu_time: 3.4975, build_memory: 475003902.4, f_measure: 0.8503, kappa: 0.7763, kb_relative_information_score: 3299.2564, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8515, predictive_accuracy: 0.8508, prior_entropy: 1.5849, recall: 0.8508, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5854, scimark_benchmark: 941.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, build_cpu_time: 3.5705, build_memory: 790071200.8, f_measure: 0.7946, kappa: 0.6932, kb_relative_information_score: 3244.438, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7955, predictive_accuracy: 0.7954, prior_entropy: 1.5849, recall: 0.7954, relative_absolute_error: 0.4147, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.7122, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, build_cpu_time: 0.001, build_memory: 850755025.6, f_measure: 0.7323, kappa: 0.5986, kb_relative_information_score: 3167.4918, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7322, predictive_accuracy: 0.7324, prior_entropy: 1.5849, recall: 0.7324, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8957, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, build_cpu_time: 28.2353, build_memory: 185665320, f_measure: 0.8506, kappa: 0.7797, kb_relative_information_score: 2693.7367, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8638, predictive_accuracy: 0.853, prior_entropy: 1.5849, recall: 0.853, relative_absolute_error: 0.5736, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6932, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, build_cpu_time: 0.4904, build_memory: 637819396, f_measure: 0.8641, kappa: 0.7966, kb_relative_information_score: 2728.467, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8648, predictive_accuracy: 0.8644, prior_entropy: 1.5849, recall: 0.8644, relative_absolute_error: 0.5679, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.685, scimark_benchmark: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, build_cpu_time: 0.7792, build_memory: 406778052, f_measure: 0.8673, kappa: 0.8011, kb_relative_information_score: 3859.5398, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8674, predictive_accuracy: 0.8674, prior_entropy: 1.5849, recall: 0.8674, relative_absolute_error: 0.2731, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5342, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, build_cpu_time: 0.0594, build_memory: 601012868.8, f_measure: 0.7877, kappa: 0.6999, kb_relative_information_score: 3626.7203, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8336, predictive_accuracy: 0.7996, prior_entropy: 1.5849, recall: 0.7996, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.7147, scimark_benchmark: 941.5807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, build_cpu_time: 0.0578, build_memory: 371004806.4, f_measure: 0.7877, kappa: 0.6999, kb_relative_information_score: 3626.7203, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8336, predictive_accuracy: 0.7996, prior_entropy: 1.5849, recall: 0.7996, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.7147, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, build_cpu_time: 1.5301, build_memory: 668345844, f_measure: 0.8195, kappa: 0.7297, kb_relative_information_score: 3325.2607, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8198, predictive_accuracy: 0.8198, prior_entropy: 1.5849, recall: 0.8198, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.6124, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, build_cpu_time: 1.2656, build_memory: 1073433978.4, f_measure: 0.8195, kappa: 0.7297, kb_relative_information_score: 3325.2607, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8198, predictive_accuracy: 0.8198, prior_entropy: 1.5849, recall: 0.8198, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.6124, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, build_cpu_time: 0.3946, build_memory: 181033037.6, f_measure: 0.6195, kappa: 0.4868, kb_relative_information_score: 1017.4205, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.707, predictive_accuracy: 0.657, prior_entropy: 1.5849, recall: 0.657, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8874, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, build_cpu_time: 0.5199, build_memory: 817269273.6, f_measure: 0.7436, kappa: 0.6154, kb_relative_information_score: 3225.9603, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7436, predictive_accuracy: 0.7436, prior_entropy: 1.5849, recall: 0.7436, relative_absolute_error: 0.3917, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8511, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, build_cpu_time: 0.0006, build_memory: 152920364.8, f_measure: 0.1711, kb_relative_information_score: 0.311, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.1145, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 949.9767,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, build_cpu_time: 0.0007, build_memory: 228565733.6, f_measure: 0.1711, kb_relative_information_score: 0.311, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.1145, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, build_cpu_time: 0.0571, build_memory: 215027650.4, f_measure: 0.7877, kappa: 0.6999, kb_relative_information_score: 3626.7203, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8336, predictive_accuracy: 0.7996, prior_entropy: 1.5849, recall: 0.7996, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.7147, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, build_cpu_time: 5.1277, build_memory: 461758595.2, f_measure: 0.8651, kappa: 0.7978, kb_relative_information_score: 2743.2618, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8653, predictive_accuracy: 0.8652, prior_entropy: 1.5849, recall: 0.8652, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6775, scimark_benchmark: 932.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, build_cpu_time: 12.6816, build_memory: 444344483.2, f_measure: 0.8654, kappa: 0.7984, kb_relative_information_score: 2742.8073, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8659, predictive_accuracy: 0.8656, prior_entropy: 1.5849, recall: 0.8656, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6773, scimark_benchmark: 941.6933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, build_cpu_time: 10.9025, build_memory: 254808648, f_measure: 0.8654, kappa: 0.7984, kb_relative_information_score: 2742.8073, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8659, predictive_accuracy: 0.8656, prior_entropy: 1.5849, recall: 0.8656, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6773, scimark_benchmark: 945.3978,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, build_cpu_time: 23.2483, build_memory: 804331556.8, f_measure: 0.8336, kappa: 0.7514, kb_relative_information_score: 3344.6817, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.835, predictive_accuracy: 0.8342, prior_entropy: 1.5849, recall: 0.8342, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.5927, scimark_benchmark: 939.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, build_cpu_time: 11.4661, build_memory: 108407430.4, f_measure: 0.8324, kappa: 0.7496, kb_relative_information_score: 3344.6998, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8337, predictive_accuracy: 0.833, prior_entropy: 1.5849, recall: 0.833, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.28, root_relative_squared_error: 0.5941, scimark_benchmark: 947.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, build_cpu_time: 14.1655, build_memory: 89328376, f_measure: 0.8324, kappa: 0.7496, kb_relative_information_score: 3344.6998, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8337, predictive_accuracy: 0.833, prior_entropy: 1.5849, recall: 0.833, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.28, root_relative_squared_error: 0.5941, scimark_benchmark: 939.8999,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, build_cpu_time: 0.4073, build_memory: 81752480.8, f_measure: 0.7436, kappa: 0.6154, kb_relative_information_score: 3225.9603, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7436, predictive_accuracy: 0.7436, prior_entropy: 1.5849, recall: 0.7436, relative_absolute_error: 0.3917, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8511, scimark_benchmark: 941.7902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, build_cpu_time: 0.4175, build_memory: 351122756, f_measure: 0.7436, kappa: 0.6154, kb_relative_information_score: 3225.9603, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7436, predictive_accuracy: 0.7436, prior_entropy: 1.5849, recall: 0.7436, relative_absolute_error: 0.3917, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8511, scimark_benchmark: 946.4697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.832, kappa: 0.7483, kb_relative_information_score: 3813.3837, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8322, predictive_accuracy: 0.8322, prior_entropy: 1.5849, recall: 0.8322, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6529, scimark_benchmark: 899.8599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.6985, kappa: 0.5495, kb_relative_information_score: 2317.625, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.6984, predictive_accuracy: 0.6996, prior_entropy: 1.5849, recall: 0.6996, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7817, scimark_benchmark: 594.104,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.7651, kappa: 0.6488, kb_relative_information_score: 3337.3436, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7656, predictive_accuracy: 0.7658, prior_entropy: 1.5849, recall: 0.7658, relative_absolute_error: 0.3727, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7548, scimark_benchmark: 923.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.832, kappa: 0.7483, kb_relative_information_score: 3813.3837, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8322, predictive_accuracy: 0.8322, prior_entropy: 1.5849, recall: 0.8322, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6529, scimark_benchmark: 897.8862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7323, kappa: 0.5986, kb_relative_information_score: 3167.4918, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7322, predictive_accuracy: 0.7324, prior_entropy: 1.5849, recall: 0.7324, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8957, scimark_benchmark: 595.9337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.4695, kappa: 0.3702, kb_relative_information_score: 1370.0093, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.5952, predictive_accuracy: 0.5786, prior_entropy: 1.5849, recall: 0.5786, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8862, scimark_benchmark: 596.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.7887, kappa: 0.7011, kb_relative_information_score: 3622.4864, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8331, predictive_accuracy: 0.8004, prior_entropy: 1.5849, recall: 0.8004, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.71, scimark_benchmark: 860.3836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.8493, kappa: 0.7744, kb_relative_information_score: 3677.5745, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8497, predictive_accuracy: 0.8496, prior_entropy: 1.5849, recall: 0.8496, relative_absolute_error: 0.3174, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.5608, scimark_benchmark: 895.7279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.7887, kappa: 0.7011, kb_relative_information_score: 3622.4864, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8331, predictive_accuracy: 0.8004, prior_entropy: 1.5849, recall: 0.8004, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.71, scimark_benchmark: 936.9392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.8508, kappa: 0.7765, kb_relative_information_score: 3939.5994, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8513, predictive_accuracy: 0.851, prior_entropy: 1.5849, recall: 0.851, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.5806, scimark_benchmark: 918.7086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8142, kappa: 0.7319, kb_relative_information_score: 3747.0433, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.844, predictive_accuracy: 0.821, prior_entropy: 1.5849, recall: 0.821, relative_absolute_error: 0.2818, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6528, scimark_benchmark: 949.6913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8586, kappa: 0.7882, kb_relative_information_score: 4032.1265, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.859, predictive_accuracy: 0.8588, prior_entropy: 1.5849, recall: 0.8588, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.649, scimark_benchmark: 449.0152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.1711, kb_relative_information_score: 473.3429, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.1145, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 0.9879, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.66, root_relative_squared_error: 1.4001, scimark_benchmark: 917.6116,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8044, kappa: 0.7114, kb_relative_information_score: 3589.5117, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8178, predictive_accuracy: 0.8074, prior_entropy: 1.5849, recall: 0.8074, relative_absolute_error: 0.3226, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6587, scimark_benchmark: 943.3644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.5107, kappa: 0.3913, kb_relative_information_score: 1625.8063, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.6341, predictive_accuracy: 0.5928, prior_entropy: 1.5849, recall: 0.5928, relative_absolute_error: 0.757, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8586, scimark_benchmark: 940.3456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8579, kappa: 0.7873, kb_relative_information_score: 4031.513, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8582, predictive_accuracy: 0.8582, prior_entropy: 1.5849, recall: 0.8582, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.306, root_relative_squared_error: 0.6492, scimark_benchmark: 930.8809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.4967, kappa: 0.4381, kb_relative_information_score: 2436.8015, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.4128, predictive_accuracy: 0.624, prior_entropy: 1.5849, recall: 0.624, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0621, scimark_benchmark: 925.2566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.8171, kappa: 0.7261, kb_relative_information_score: 3379.9305, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8175, predictive_accuracy: 0.8174, prior_entropy: 1.5849, recall: 0.8174, relative_absolute_error: 0.389, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.6165, scimark_benchmark: 931.5901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7323, kappa: 0.5986, kb_relative_information_score: 3167.4918, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7322, predictive_accuracy: 0.7324, prior_entropy: 1.5849, recall: 0.7324, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8957, scimark_benchmark: 916.5259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.1711, kb_relative_information_score: 516.0058, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.1145, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6485, root_relative_squared_error: 1.3757, scimark_benchmark: 941.0297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.8417, kappa: 0.7627, kb_relative_information_score: 3842.8491, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8417, predictive_accuracy: 0.8418, prior_entropy: 1.5849, recall: 0.8418, relative_absolute_error: 0.263, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.6054, scimark_benchmark: 942.4855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8355, kappa: 0.7534, kb_relative_information_score: 3751.1856, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8355, predictive_accuracy: 0.8356, prior_entropy: 1.5849, recall: 0.8356, relative_absolute_error: 0.287, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.6069, scimark_benchmark: 944.5313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.7203, kappa: 0.5841, kb_relative_information_score: 2961.7341, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7215, predictive_accuracy: 0.7226, prior_entropy: 1.5849, recall: 0.7226, relative_absolute_error: 0.4615, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.8, scimark_benchmark: 885.8997,

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

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From your own software

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

OpenML APIs