OpenML
Supervised Classification on waveform-5000

Supervised Classification on waveform-5000

Task 288 Supervised Classification waveform-5000 313 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8581, kappa: 0.7882, kb_relative_information_score: 1072.4504, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8596, predictive_accuracy: 0.8588, prior_entropy: 1.5849, recall: 0.8588, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.593, scimark_benchmark: 1322.7257, usercpu_time_millis: 3530, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 3120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 932.5646, usercpu_time_millis: 370, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 1314.7093, usercpu_time_millis: 210, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.7913, kappa: 0.7047, kb_relative_information_score: 1194.5745, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8365, predictive_accuracy: 0.803, prior_entropy: 1.5849, recall: 0.803, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7093, scimark_benchmark: 938.0414, usercpu_time_millis: 150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 918.0213, usercpu_time_millis: 290, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.7694, kappa: 0.6546, kb_relative_information_score: 1070.8709, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7697, predictive_accuracy: 0.7697, prior_entropy: 1.5849, recall: 0.7697, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.7247, scimark_benchmark: 1328.1857, usercpu_time_millis: 14330, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 14110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7322, kappa: 0.5982, kb_relative_information_score: 973.7966, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7325, predictive_accuracy: 0.7321, prior_entropy: 1.5849, recall: 0.7321, relative_absolute_error: 0.4692, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.378, root_relative_squared_error: 0.8019, scimark_benchmark: 933.1165, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8638, kappa: 0.7964, kb_relative_information_score: 1343.7272, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8646, predictive_accuracy: 0.8642, prior_entropy: 1.5849, recall: 0.8642, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6382, scimark_benchmark: 1315.933, usercpu_time_millis: 20560, usercpu_time_millis_testing: 9730, usercpu_time_millis_training: 10830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.7913, kappa: 0.7047, kb_relative_information_score: 1194.5745, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8365, predictive_accuracy: 0.803, prior_entropy: 1.5849, recall: 0.803, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7093, scimark_benchmark: 1315.933, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 933.1165, usercpu_time_millis: 470, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 1322.7383, usercpu_time_millis: 180, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 1354.3488, usercpu_time_millis: 180, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.7913, kappa: 0.7047, kb_relative_information_score: 1194.5745, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8365, predictive_accuracy: 0.803, prior_entropy: 1.5849, recall: 0.803, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7093, scimark_benchmark: 933.1165, usercpu_time_millis: 150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8422, kappa: 0.7646, kb_relative_information_score: 1243.2884, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8439, predictive_accuracy: 0.843, prior_entropy: 1.5849, recall: 0.843, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5772, scimark_benchmark: 1343.2125, usercpu_time_millis: 200, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7322, kappa: 0.5982, kb_relative_information_score: 973.7966, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7325, predictive_accuracy: 0.7321, prior_entropy: 1.5849, recall: 0.7321, relative_absolute_error: 0.4692, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.378, root_relative_squared_error: 0.8019, scimark_benchmark: 1345.7204, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7322, kappa: 0.5982, kb_relative_information_score: 973.7966, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7325, predictive_accuracy: 0.7321, prior_entropy: 1.5849, recall: 0.7321, relative_absolute_error: 0.4692, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.378, root_relative_squared_error: 0.8019, scimark_benchmark: 1343.6648, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.6663, kappa: 0.4991, kb_relative_information_score: 895.918, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.667, predictive_accuracy: 0.6661, prior_entropy: 1.5849, recall: 0.6661, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0009, scimark_benchmark: 1320.9026, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.838, kappa: 0.7591, kb_relative_information_score: 981.2531, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8414, predictive_accuracy: 0.8394, prior_entropy: 1.5849, recall: 0.8394, relative_absolute_error: 0.5097, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.6289, scimark_benchmark: 1347.5461, usercpu_time_millis: 14330, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 13710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8405, kappa: 0.7609, kb_relative_information_score: 1212.352, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8405, predictive_accuracy: 0.8406, prior_entropy: 1.5849, recall: 0.8406, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.5698, scimark_benchmark: 1327.2954, usercpu_time_millis: 3120, usercpu_time_millis_training: 3120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8581, kappa: 0.7882, kb_relative_information_score: 1072.4504, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8596, predictive_accuracy: 0.8588, prior_entropy: 1.5849, recall: 0.8588, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.593, scimark_benchmark: 926.6704, usercpu_time_millis: 3760, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 3530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7916, kappa: 0.6909, kb_relative_information_score: 1185.1938, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.796, predictive_accuracy: 0.7939, prior_entropy: 1.5849, recall: 0.7939, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7862, scimark_benchmark: 1345.1461, usercpu_time_millis: 43300, usercpu_time_millis_testing: 23480, usercpu_time_millis_training: 19820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7322, kappa: 0.5982, kb_relative_information_score: 973.7966, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7325, predictive_accuracy: 0.7321, prior_entropy: 1.5849, recall: 0.7321, relative_absolute_error: 0.4692, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.378, root_relative_squared_error: 0.8019, scimark_benchmark: 1348.7888, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7322, kappa: 0.5982, kb_relative_information_score: 973.7966, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7325, predictive_accuracy: 0.7321, prior_entropy: 1.5849, recall: 0.7321, relative_absolute_error: 0.4692, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.378, root_relative_squared_error: 0.8019, scimark_benchmark: 1331.2332, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.7945, kappa: 0.7119, kb_relative_information_score: 1205.6768, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.843, predictive_accuracy: 0.8079, prior_entropy: 1.5849, recall: 0.8079, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.7073, scimark_benchmark: 1347.388, usercpu_time_millis: 410, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.7859, kappa: 0.6791, kb_relative_information_score: 1092.1891, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7884, predictive_accuracy: 0.7861, prior_entropy: 1.5849, recall: 0.7861, relative_absolute_error: 0.3972, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6581, scimark_benchmark: 1281.7531, usercpu_time_millis: 4020, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.8652, kappa: 0.7982, kb_relative_information_score: 1206.2737, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8653, predictive_accuracy: 0.8655, prior_entropy: 1.5849, recall: 0.8655, relative_absolute_error: 0.3325, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.5446, scimark_benchmark: 1326.8946, usercpu_time_millis: 7630, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.7913, kappa: 0.7047, kb_relative_information_score: 1194.5745, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8365, predictive_accuracy: 0.803, prior_entropy: 1.5849, recall: 0.803, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7093, scimark_benchmark: 1307.3764, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.4685, kappa: 0.356, kb_relative_information_score: 531.417, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.6904, predictive_accuracy: 0.5703, prior_entropy: 1.5849, recall: 0.5703, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8755, scimark_benchmark: 1064.8317, usercpu_time_millis: 231150, usercpu_time_millis_testing: 231150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.7246, kappa: 0.5873, kb_relative_information_score: 1019.5143, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7246, predictive_accuracy: 0.7248, prior_entropy: 1.5849, recall: 0.7248, relative_absolute_error: 0.4221, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8706, scimark_benchmark: 1268.9931, usercpu_time_millis: 580570, usercpu_time_millis_testing: 580570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.7138, kappa: 0.5709, kb_relative_information_score: 1003.6062, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.714, predictive_accuracy: 0.7139, prior_entropy: 1.5849, recall: 0.7139, relative_absolute_error: 0.4296, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.926, scimark_benchmark: 1298.4923, usercpu_time_millis: 5160, usercpu_time_millis_testing: 5160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7692, f_measure: 0.4128, kappa: 0.2076, kb_relative_information_score: 28.9548, mean_absolute_error: 0.4402, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.6137, predictive_accuracy: 0.4721, prior_entropy: 1.5849, recall: 0.4721, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.467, root_relative_squared_error: 0.9907, scimark_benchmark: 1327.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8529, kappa: 0.78, kb_relative_information_score: 1319.0932, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8538, predictive_accuracy: 0.8533, prior_entropy: 1.5849, recall: 0.8533, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6633, scimark_benchmark: 1264.0609, usercpu_time_millis: 23680, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 23290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7029, f_measure: 0.4605, kappa: 0.3558, kb_relative_information_score: 493.1426, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.4009, predictive_accuracy: 0.5697, prior_entropy: 1.5849, recall: 0.5697, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8976, scimark_benchmark: 1341.4232, usercpu_time_millis: 560, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8315, kappa: 0.75, kb_relative_information_score: 979.4295, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8364, predictive_accuracy: 0.8333, prior_entropy: 1.5849, recall: 0.8333, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.6313, scimark_benchmark: 1292.1375, usercpu_time_millis: 8460, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 8170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.849, kappa: 0.7736, kb_relative_information_score: 1257.0658, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8491, predictive_accuracy: 0.8491, prior_entropy: 1.5849, recall: 0.8491, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.5794, scimark_benchmark: 898.1296, usercpu_time_millis: 18620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 18610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.8515, kappa: 0.7773, kb_relative_information_score: 1252.779, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8515, predictive_accuracy: 0.8515, prior_entropy: 1.5849, recall: 0.8515, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.267, root_relative_squared_error: 0.5665, scimark_benchmark: 1339.8573, usercpu_time_millis: 8840, usercpu_time_millis_training: 8840,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.7226, kappa: 0.5937, kb_relative_information_score: 531.7067, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7376, predictive_accuracy: 0.7291, prior_entropy: 1.5849, recall: 0.7291, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.8149, scimark_benchmark: 909.1698, usercpu_time_millis: 610, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.7226, kappa: 0.5937, kb_relative_information_score: 531.7067, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7376, predictive_accuracy: 0.7291, prior_entropy: 1.5849, recall: 0.7291, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.8149, scimark_benchmark: 939.5088, usercpu_time_millis: 460, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.6211, kappa: 0.4847, kb_relative_information_score: 325.2672, mean_absolute_error: 0.389, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7044, predictive_accuracy: 0.6564, prior_entropy: 1.5849, recall: 0.6564, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8916, scimark_benchmark: 915.9324, usercpu_time_millis: 520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.7965, kappa: 0.6955, kb_relative_information_score: 1056.7189, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7971, predictive_accuracy: 0.797, prior_entropy: 1.5849, recall: 0.797, relative_absolute_error: 0.4305, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6579, scimark_benchmark: 930.5999, usercpu_time_millis: 12280, usercpu_time_millis_testing: 12280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.7654, kappa: 0.6482, kb_relative_information_score: 1030.5331, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7653, predictive_accuracy: 0.7655, prior_entropy: 1.5849, recall: 0.7655, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.7103, scimark_benchmark: 882.7843, usercpu_time_millis: 15510, usercpu_time_millis_testing: 15510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8478, kappa: 0.7782, kb_relative_information_score: 888.4028, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.866, predictive_accuracy: 0.8521, prior_entropy: 1.5849, recall: 0.8521, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6937, scimark_benchmark: 938.343, usercpu_time_millis: 44390, usercpu_time_millis_testing: 10310, usercpu_time_millis_training: 34080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8669, kappa: 0.8009, kb_relative_information_score: 903.641, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8677, predictive_accuracy: 0.8673, prior_entropy: 1.5849, recall: 0.8673, relative_absolute_error: 0.5664, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6827, scimark_benchmark: 916.5955, usercpu_time_millis: 580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.8652, kappa: 0.7982, kb_relative_information_score: 1206.2737, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8653, predictive_accuracy: 0.8655, prior_entropy: 1.5849, recall: 0.8655, relative_absolute_error: 0.3325, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.5446, scimark_benchmark: 895.5332, usercpu_time_millis: 3380, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8659, kappa: 0.7991, kb_relative_information_score: 1347.7216, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.866, predictive_accuracy: 0.8661, prior_entropy: 1.5849, recall: 0.8661, relative_absolute_error: 0.2009, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.6339, scimark_benchmark: 1386.5717, usercpu_time_millis: 5640, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8638, kappa: 0.7964, kb_relative_information_score: 1343.7272, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8646, predictive_accuracy: 0.8642, prior_entropy: 1.5849, recall: 0.8642, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6382, scimark_benchmark: 1363.434, usercpu_time_millis: 19000, usercpu_time_millis_testing: 8480, usercpu_time_millis_training: 10520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.7694, kappa: 0.6546, kb_relative_information_score: 1070.8709, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7697, predictive_accuracy: 0.7697, prior_entropy: 1.5849, recall: 0.7697, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.7247, scimark_benchmark: 1319.5177, usercpu_time_millis: 14550, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 14330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.7376, kappa: 0.6064, kb_relative_information_score: 1057.3705, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7378, predictive_accuracy: 0.7376, prior_entropy: 1.5849, recall: 0.7376, relative_absolute_error: 0.3936, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8873, scimark_benchmark: 1325.942, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.7579, kappa: 0.6383, kb_relative_information_score: 1000.6491, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7595, predictive_accuracy: 0.7588, prior_entropy: 1.5849, recall: 0.7588, relative_absolute_error: 0.4588, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.7443, scimark_benchmark: 1319.6463, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.7806, kappa: 0.6719, kb_relative_information_score: 1057.1196, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7818, predictive_accuracy: 0.7812, prior_entropy: 1.5849, recall: 0.7812, relative_absolute_error: 0.4198, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.7293, scimark_benchmark: 1354.2491, usercpu_time_millis: 2620, usercpu_time_millis_training: 2620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1677, kb_relative_information_score: 142.9793, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.1119, predictive_accuracy: 0.3345, prior_entropy: 1.5849, recall: 0.3345, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6661, root_relative_squared_error: 1.4129, scimark_benchmark: 1368.9272, usercpu_time_millis: 11020, usercpu_time_millis_testing: 2160, usercpu_time_millis_training: 8860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.7703, kappa: 0.6574, kb_relative_information_score: 1138.4697, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7765, predictive_accuracy: 0.7715, prior_entropy: 1.5849, recall: 0.7715, relative_absolute_error: 0.348, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7539, scimark_benchmark: 1466.6185, usercpu_time_millis: 2490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, f_measure: 0.5195, kappa: 0.2937, kb_relative_information_score: 587.4702, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.5148, predictive_accuracy: 0.5291, prior_entropy: 1.5849, recall: 0.5291, relative_absolute_error: 0.7064, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5603, root_relative_squared_error: 1.1886, scimark_benchmark: 1465.2979, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.7566, kappa: 0.6374, kb_relative_information_score: 1104.0678, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7627, predictive_accuracy: 0.7582, prior_entropy: 1.5849, recall: 0.7582, relative_absolute_error: 0.3627, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8517, scimark_benchmark: 977.6382, usercpu_time_millis: 3550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1677, kb_relative_information_score: 1.4927, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.1119, predictive_accuracy: 0.3345, prior_entropy: 1.5849, recall: 0.3345, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 1054.3694, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7472, kappa: 0.6209, kb_relative_information_score: 1076.0426, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.7471, predictive_accuracy: 0.7473, prior_entropy: 1.5849, recall: 0.7473, relative_absolute_error: 0.3825, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8482, scimark_benchmark: 1066.833, usercpu_time_millis: 490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, build_cpu_time: 3.245, build_memory: 519290800, f_measure: 0.8669, kappa: 0.8009, kb_relative_information_score: 1221.6345, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8677, predictive_accuracy: 0.8673, prior_entropy: 1.5849, recall: 0.8673, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.5798, scimark_benchmark: 941.9296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, build_cpu_time: 3.482, build_memory: 447419072, f_measure: 0.8669, kappa: 0.8009, kb_relative_information_score: 1221.6345, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8677, predictive_accuracy: 0.8673, prior_entropy: 1.5849, recall: 0.8673, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.5798, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, build_cpu_time: 3.906, build_memory: 360614936, f_measure: 0.8669, kappa: 0.8009, kb_relative_information_score: 1221.6345, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8677, predictive_accuracy: 0.8673, prior_entropy: 1.5849, recall: 0.8673, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.5798, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, build_cpu_time: 4.013, build_memory: 1290079872, f_measure: 0.8669, kappa: 0.8009, kb_relative_information_score: 1221.6345, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8677, predictive_accuracy: 0.8673, prior_entropy: 1.5849, recall: 0.8673, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.5798, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, build_cpu_time: 3.432, build_memory: 120400112, f_measure: 0.8669, kappa: 0.8009, kb_relative_information_score: 1221.6345, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8677, predictive_accuracy: 0.8673, prior_entropy: 1.5849, recall: 0.8673, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.5798, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, build_cpu_time: 2.128, build_memory: 1040418496, f_measure: 0.7999, kappa: 0.701, kb_relative_information_score: 1186.301, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8007, predictive_accuracy: 0.8006, prior_entropy: 1.5849, recall: 0.8006, relative_absolute_error: 0.3142, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.7082, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, build_cpu_time: 4.128, build_memory: 608914800, f_measure: 0.8027, kappa: 0.7055, kb_relative_information_score: 1204.8393, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8032, predictive_accuracy: 0.8036, prior_entropy: 1.5849, recall: 0.8036, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.7176, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, build_cpu_time: 11.085, build_memory: 516692096, f_measure: 0.8179, kappa: 0.7273, kb_relative_information_score: 1235.7962, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.818, predictive_accuracy: 0.8182, prior_entropy: 1.5849, recall: 0.8182, relative_absolute_error: 0.2782, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.7013, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, build_cpu_time: 18.621, build_memory: 1248305040, f_measure: 0.8283, kappa: 0.7427, kb_relative_information_score: 1260.6819, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8284, predictive_accuracy: 0.8285, prior_entropy: 1.5849, recall: 0.8285, relative_absolute_error: 0.26, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.691, scimark_benchmark: 895.3841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, build_cpu_time: 21.31, build_memory: 14560440, f_measure: 0.8318, kappa: 0.7482, kb_relative_information_score: 1270.6368, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4444, number_of_instances: 1650, precision: 0.8318, predictive_accuracy: 0.8321, prior_entropy: 1.5849, recall: 0.8321, relative_absolute_error: 0.2532, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6888, scimark_benchmark: 920.993,

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