Task
Supervised Classification on glass

Supervised Classification on glass

Task 1804 Supervised Classification glass 321 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.5767, kappa: 0.4454, kb_relative_information_score: 507.2019, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.5874, predictive_accuracy: 0.5991, prior_entropy: 2.2315, recall: 0.5991, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.8882, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.6305, kappa: 0.4985, kb_relative_information_score: 546.6875, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.6282, predictive_accuracy: 0.6346, prior_entropy: 2.2315, recall: 0.6346, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.8779, scimark_benchmark: 851.2074, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.5602, kappa: 0.4156, kb_relative_information_score: 476.1051, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.5386, predictive_accuracy: 0.5944, prior_entropy: 2.2315, recall: 0.5944, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3404, root_relative_squared_error: 1.0492, scimark_benchmark: 916.0735, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.6074, kappa: 0.4814, kb_relative_information_score: 514.6815, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.6029, predictive_accuracy: 0.6271, prior_entropy: 2.2315, recall: 0.6271, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.853, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.6074, kappa: 0.4814, kb_relative_information_score: 514.6815, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.6029, predictive_accuracy: 0.6271, prior_entropy: 2.2315, recall: 0.6271, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.853, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.6579, kappa: 0.5439, kb_relative_information_score: 535.0504, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.6569, predictive_accuracy: 0.6738, prior_entropy: 2.2315, recall: 0.6738, relative_absolute_error: 0.6227, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.7818, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.6074, kappa: 0.4814, kb_relative_information_score: 514.6815, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.6029, predictive_accuracy: 0.6271, prior_entropy: 2.2315, recall: 0.6271, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.853, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.7245, kappa: 0.633, kb_relative_information_score: 612.37, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.7259, predictive_accuracy: 0.7346, prior_entropy: 2.2315, recall: 0.7346, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.7186, scimark_benchmark: 931.771, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.5602, kappa: 0.4156, kb_relative_information_score: 476.1051, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.5386, predictive_accuracy: 0.5944, prior_entropy: 2.2315, recall: 0.5944, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3404, root_relative_squared_error: 1.0492, scimark_benchmark: 941.3847, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.6074, kappa: 0.4814, kb_relative_information_score: 514.6815, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.6029, predictive_accuracy: 0.6271, prior_entropy: 2.2315, recall: 0.6271, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.853, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.629, kappa: 0.4962, kb_relative_information_score: 488.1493, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.6289, predictive_accuracy: 0.6327, prior_entropy: 2.2315, recall: 0.6327, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.851, scimark_benchmark: 938.5498, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.7245, kappa: 0.633, kb_relative_information_score: 612.37, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.7259, predictive_accuracy: 0.7346, prior_entropy: 2.2315, recall: 0.7346, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.7186, scimark_benchmark: 943.1009, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.5767, kappa: 0.4454, kb_relative_information_score: 507.2019, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.5874, predictive_accuracy: 0.5991, prior_entropy: 2.2315, recall: 0.5991, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.8882, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.6305, kappa: 0.4985, kb_relative_information_score: 546.6875, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.6282, predictive_accuracy: 0.6346, prior_entropy: 2.2315, recall: 0.6346, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.8779, scimark_benchmark: 936.2574, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.5602, kappa: 0.4156, kb_relative_information_score: 476.1051, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.5386, predictive_accuracy: 0.5944, prior_entropy: 2.2315, recall: 0.5944, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3404, root_relative_squared_error: 1.0492, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.6074, kappa: 0.4814, kb_relative_information_score: 514.6815, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.6029, predictive_accuracy: 0.6271, prior_entropy: 2.2315, recall: 0.6271, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.853, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.6074, kappa: 0.4814, kb_relative_information_score: 514.6815, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.6029, predictive_accuracy: 0.6271, prior_entropy: 2.2315, recall: 0.6271, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.853, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.6579, kappa: 0.5439, kb_relative_information_score: 535.0504, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.6569, predictive_accuracy: 0.6738, prior_entropy: 2.2315, recall: 0.6738, relative_absolute_error: 0.6227, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.7818, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.6074, kappa: 0.4814, kb_relative_information_score: 514.6815, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.6029, predictive_accuracy: 0.6271, prior_entropy: 2.2315, recall: 0.6271, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.853, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.629, kappa: 0.4962, kb_relative_information_score: 488.1493, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.6289, predictive_accuracy: 0.6327, prior_entropy: 2.2315, recall: 0.6327, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.851, scimark_benchmark: 1051.249, usercpu_time_millis: 590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.7245, kappa: 0.633, kb_relative_information_score: 612.37, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.7259, predictive_accuracy: 0.7346, prior_entropy: 2.2315, recall: 0.7346, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.7186, scimark_benchmark: 901.4991, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.7015, kappa: 0.6064, kb_relative_information_score: 587.4826, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.7143, predictive_accuracy: 0.7178, prior_entropy: 2.2315, recall: 0.7178, relative_absolute_error: 0.5711, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.7296, scimark_benchmark: 936.2727, usercpu_time_millis: 1380, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.7101, kappa: 0.6184, kb_relative_information_score: 586.248, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.72, predictive_accuracy: 0.7262, prior_entropy: 2.2315, recall: 0.7262, relative_absolute_error: 0.572, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.7325, scimark_benchmark: 935.2002, usercpu_time_millis: 540, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.7047, kappa: 0.6091, kb_relative_information_score: 590.6763, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.7086, predictive_accuracy: 0.7196, prior_entropy: 2.2315, recall: 0.7196, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.731, scimark_benchmark: 944.235, usercpu_time_millis: 320, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.715, kappa: 0.6213, kb_relative_information_score: 580.1944, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.7199, predictive_accuracy: 0.728, prior_entropy: 2.2315, recall: 0.728, relative_absolute_error: 0.5757, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.7414, scimark_benchmark: 932.4744, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.6792, kappa: 0.5716, kb_relative_information_score: 572.9349, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.6807, predictive_accuracy: 0.6925, prior_entropy: 2.2315, recall: 0.6925, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.7641, scimark_benchmark: 926.5859, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, f_measure: 0.1861, kb_relative_information_score: 2.7972, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.1261, predictive_accuracy: 0.3551, prior_entropy: 2.2315, recall: 0.3551, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3246, root_relative_squared_error: 1.0004, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.2819, kappa: 0.238, kb_relative_information_score: 292.6064, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.2061, predictive_accuracy: 0.4458, prior_entropy: 2.2315, recall: 0.4458, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.9366, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.2819, kappa: 0.238, kb_relative_information_score: 292.6064, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.2061, predictive_accuracy: 0.4458, prior_entropy: 2.2315, recall: 0.4458, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.9366, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.2819, kappa: 0.238, kb_relative_information_score: 292.6064, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.2061, predictive_accuracy: 0.4458, prior_entropy: 2.2315, recall: 0.4458, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.9366, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.2819, kappa: 0.238, kb_relative_information_score: 292.6064, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.2061, predictive_accuracy: 0.4458, prior_entropy: 2.2315, recall: 0.4458, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.9366, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.2819, kappa: 0.238, kb_relative_information_score: 292.6064, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.2061, predictive_accuracy: 0.4458, prior_entropy: 2.2315, recall: 0.4458, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.9366, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1861, kb_relative_information_score: 148.8966, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.1261, predictive_accuracy: 0.3551, prior_entropy: 2.2315, recall: 0.3551, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.4292, root_relative_squared_error: 1.323, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.6599, kappa: 0.5509, kb_relative_information_score: 568.5147, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.656, predictive_accuracy: 0.6757, prior_entropy: 2.2315, recall: 0.6757, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.7902, scimark_benchmark: 926.5859, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.6849, kappa: 0.5764, kb_relative_information_score: 555.5464, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.689, predictive_accuracy: 0.6907, prior_entropy: 2.2315, recall: 0.6907, relative_absolute_error: 0.5888, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.7723, scimark_benchmark: 931.7994, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.4558, kappa: 0.275, kb_relative_information_score: 198.6767, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.4355, predictive_accuracy: 0.5084, prior_entropy: 2.2315, recall: 0.5084, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.304, root_relative_squared_error: 0.9368, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.5767, kappa: 0.4454, kb_relative_information_score: 507.2019, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.5874, predictive_accuracy: 0.5991, prior_entropy: 2.2315, recall: 0.5991, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.8882, scimark_benchmark: 923.509,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.5602, kappa: 0.4156, kb_relative_information_score: 476.1051, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.5386, predictive_accuracy: 0.5944, prior_entropy: 2.2315, recall: 0.5944, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3404, root_relative_squared_error: 1.0492, scimark_benchmark: 928.8135, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.7245, kappa: 0.633, kb_relative_information_score: 612.37, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.7259, predictive_accuracy: 0.7346, prior_entropy: 2.2315, recall: 0.7346, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.7186, scimark_benchmark: 1343.3311, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.6074, kappa: 0.4814, kb_relative_information_score: 514.6815, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.6029, predictive_accuracy: 0.6271, prior_entropy: 2.2315, recall: 0.6271, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.853, scimark_benchmark: 1317.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.629, kappa: 0.4962, kb_relative_information_score: 488.1493, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.6289, predictive_accuracy: 0.6327, prior_entropy: 2.2315, recall: 0.6327, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.851, scimark_benchmark: 1322.1893, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6258, f_measure: 0.4646, kappa: 0.271, kb_relative_information_score: 354.9637, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.4727, predictive_accuracy: 0.4785, prior_entropy: 2.2315, recall: 0.4785, relative_absolute_error: 0.7042, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.386, root_relative_squared_error: 1.1897, scimark_benchmark: 1362.1309, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.6305, kappa: 0.4985, kb_relative_information_score: 546.6875, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.6282, predictive_accuracy: 0.6346, prior_entropy: 2.2315, recall: 0.6346, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.8779, scimark_benchmark: 1336.4564, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.6552, kappa: 0.535, kb_relative_information_score: 584.876, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.6557, predictive_accuracy: 0.6617, prior_entropy: 2.2315, recall: 0.6617, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.894, scimark_benchmark: 1339.3082, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.6074, kappa: 0.4814, kb_relative_information_score: 514.6815, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.6029, predictive_accuracy: 0.6271, prior_entropy: 2.2315, recall: 0.6271, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.853, scimark_benchmark: 1325.8927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.6074, kappa: 0.4814, kb_relative_information_score: 514.6815, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.6029, predictive_accuracy: 0.6271, prior_entropy: 2.2315, recall: 0.6271, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.853, scimark_benchmark: 1320.8688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.6074, kappa: 0.4814, kb_relative_information_score: 514.6815, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.6029, predictive_accuracy: 0.6271, prior_entropy: 2.2315, recall: 0.6271, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.853, scimark_benchmark: 1364.5528, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.6074, kappa: 0.4814, kb_relative_information_score: 514.6815, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.6029, predictive_accuracy: 0.6271, prior_entropy: 2.2315, recall: 0.6271, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.853, scimark_benchmark: 1311.7317, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.5767, kappa: 0.4454, kb_relative_information_score: 507.2019, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.5874, predictive_accuracy: 0.5991, prior_entropy: 2.2315, recall: 0.5991, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.8882, scimark_benchmark: 1345.0202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.636, kappa: 0.5148, kb_relative_information_score: 562.906, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.6314, predictive_accuracy: 0.6458, prior_entropy: 2.2315, recall: 0.6458, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.9299, scimark_benchmark: 1299.6719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.6074, kappa: 0.4814, kb_relative_information_score: 514.6815, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.6029, predictive_accuracy: 0.6271, prior_entropy: 2.2315, recall: 0.6271, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.853, scimark_benchmark: 1353.5464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.6074, kappa: 0.4814, kb_relative_information_score: 514.6815, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.6029, predictive_accuracy: 0.6271, prior_entropy: 2.2315, recall: 0.6271, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.853, scimark_benchmark: 1253.7814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.7245, kappa: 0.633, kb_relative_information_score: 612.37, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.7259, predictive_accuracy: 0.7346, prior_entropy: 2.2315, recall: 0.7346, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.7186, scimark_benchmark: 1337.3179, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.5767, kappa: 0.4454, kb_relative_information_score: 507.2019, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.2116, number_of_instances: 1070, precision: 0.5874, predictive_accuracy: 0.5991, prior_entropy: 2.2315, recall: 0.5991, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.8882, scimark_benchmark: 1352.06,

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