OpenML
Supervised Classification on vehicle

Supervised Classification on vehicle

Task 283 Supervised Classification vehicle 338 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.1506, kappa: 0.0493, kb_relative_information_score: 28.7365, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.5301, predictive_accuracy: 0.2581, prior_entropy: 1.9991, recall: 0.2581, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.4072, scimark_benchmark: 1331.7953, usercpu_time_millis: 720, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.1506, kappa: 0.0493, kb_relative_information_score: 28.7365, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.5301, predictive_accuracy: 0.2581, prior_entropy: 1.9991, recall: 0.2581, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.4072, scimark_benchmark: 1322.7257, usercpu_time_millis: 690, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.7465, kappa: 0.671, kb_relative_information_score: 181.0066, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7505, predictive_accuracy: 0.7527, prior_entropy: 1.9991, recall: 0.7527, relative_absolute_error: 0.4421, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.631, scimark_benchmark: 1322.7257, usercpu_time_millis: 330, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.653, kappa: 0.5233, kb_relative_information_score: 156.9687, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6764, predictive_accuracy: 0.6416, prior_entropy: 1.9991, recall: 0.6416, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.7961, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.1506, kappa: 0.0493, kb_relative_information_score: 28.7365, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.5301, predictive_accuracy: 0.2581, prior_entropy: 1.9991, recall: 0.2581, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.4072, scimark_benchmark: 935.5075, usercpu_time_millis: 720, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.5987, kappa: 0.4862, kb_relative_information_score: 149.438, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6068, predictive_accuracy: 0.6165, prior_entropy: 1.9991, recall: 0.6165, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.39, root_relative_squared_error: 0.9009, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 918.0213, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 1288.1375, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.6448, kappa: 0.5353, kb_relative_information_score: 156.6146, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6402, predictive_accuracy: 0.6523, prior_entropy: 1.9991, recall: 0.6523, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.8469, scimark_benchmark: 1328.1857, usercpu_time_millis: 2740, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.653, kappa: 0.5233, kb_relative_information_score: 156.9687, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6764, predictive_accuracy: 0.6416, prior_entropy: 1.9991, recall: 0.6416, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.7961, scimark_benchmark: 1335.2029, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.5987, kappa: 0.4862, kb_relative_information_score: 149.438, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6068, predictive_accuracy: 0.6165, prior_entropy: 1.9991, recall: 0.6165, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.39, root_relative_squared_error: 0.9009, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.5987, kappa: 0.4862, kb_relative_information_score: 149.438, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6068, predictive_accuracy: 0.6165, prior_entropy: 1.9991, recall: 0.6165, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.39, root_relative_squared_error: 0.9009, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6707, kappa: 0.5593, kb_relative_information_score: 166.1495, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 1.9991, recall: 0.6703, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7526, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.653, kappa: 0.5233, kb_relative_information_score: 156.9687, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6764, predictive_accuracy: 0.6416, prior_entropy: 1.9991, recall: 0.6416, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.7961, scimark_benchmark: 1064.8317, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.6737, kappa: 0.5652, kb_relative_information_score: 168.799, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6779, predictive_accuracy: 0.6738, prior_entropy: 1.9991, recall: 0.6738, relative_absolute_error: 0.4642, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.7453, scimark_benchmark: 1151.6869, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.6965, kappa: 0.5901, kb_relative_information_score: 178.1405, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7125, predictive_accuracy: 0.6918, prior_entropy: 1.9991, recall: 0.6918, relative_absolute_error: 0.413, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.8177, scimark_benchmark: 942.9708, usercpu_time_millis: 3710, usercpu_time_millis_testing: 3710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.629, kappa: 0.5108, kb_relative_information_score: 159.7716, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6463, predictive_accuracy: 0.6308, prior_entropy: 1.9991, recall: 0.6308, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.8854, scimark_benchmark: 894.7222, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.653, kappa: 0.5233, kb_relative_information_score: 156.9687, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6764, predictive_accuracy: 0.6416, prior_entropy: 1.9991, recall: 0.6416, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.7961, scimark_benchmark: 1343.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.7217, kappa: 0.6374, kb_relative_information_score: 181.1047, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7268, predictive_accuracy: 0.7276, prior_entropy: 1.9991, recall: 0.7276, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.7636, scimark_benchmark: 1315.933, usercpu_time_millis: 200, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.711, kappa: 0.6383, kb_relative_information_score: 161.4664, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7182, predictive_accuracy: 0.7276, prior_entropy: 1.9991, recall: 0.7276, relative_absolute_error: 0.5328, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.6763, scimark_benchmark: 1342.2985, usercpu_time_millis: 820, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.653, kappa: 0.5233, kb_relative_information_score: 156.9687, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6764, predictive_accuracy: 0.6416, prior_entropy: 1.9991, recall: 0.6416, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.7961, scimark_benchmark: 922.1419, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.653, kappa: 0.5233, kb_relative_information_score: 156.9687, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6764, predictive_accuracy: 0.6416, prior_entropy: 1.9991, recall: 0.6416, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.7961, scimark_benchmark: 1327.035, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7247, kappa: 0.6377, kb_relative_information_score: 186.765, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7322, predictive_accuracy: 0.7276, prior_entropy: 1.9991, recall: 0.7276, relative_absolute_error: 0.3733, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.7861, scimark_benchmark: 1314.9535, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.7282, kappa: 0.6565, kb_relative_information_score: 162.3827, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7327, predictive_accuracy: 0.7419, prior_entropy: 1.9991, recall: 0.7419, relative_absolute_error: 0.5299, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.6734, scimark_benchmark: 1320.9026, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.6193, kappa: 0.4965, kb_relative_information_score: 149.2011, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.617, predictive_accuracy: 0.6237, prior_entropy: 1.9991, recall: 0.6237, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.9237, scimark_benchmark: 1347.388, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.653, kappa: 0.5233, kb_relative_information_score: 156.9687, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6764, predictive_accuracy: 0.6416, prior_entropy: 1.9991, recall: 0.6416, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.7961, scimark_benchmark: 1314.7093, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.6437, kappa: 0.5476, kb_relative_information_score: 148.671, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6581, predictive_accuracy: 0.6667, prior_entropy: 1.9991, recall: 0.6667, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.7697, scimark_benchmark: 1314.0383, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.653, kappa: 0.5233, kb_relative_information_score: 156.9687, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6764, predictive_accuracy: 0.6416, prior_entropy: 1.9991, recall: 0.6416, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.7961, scimark_benchmark: 1322.4968, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.653, kappa: 0.5233, kb_relative_information_score: 156.9687, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6764, predictive_accuracy: 0.6416, prior_entropy: 1.9991, recall: 0.6416, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.7961, scimark_benchmark: 855.8522, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6821, kappa: 0.574, kb_relative_information_score: 171.592, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6874, predictive_accuracy: 0.681, prior_entropy: 1.9991, recall: 0.681, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.9227, scimark_benchmark: 1270.2428, usercpu_time_millis: 240, usercpu_time_millis_testing: 240,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.7662, kappa: 0.6936, kb_relative_information_score: 192.0031, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7647, predictive_accuracy: 0.7706, prior_entropy: 1.9991, recall: 0.7706, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.6326, scimark_benchmark: 938.9967, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.7345, kappa: 0.6675, kb_relative_information_score: 173.0184, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.75, predictive_accuracy: 0.7491, prior_entropy: 1.9991, recall: 0.7491, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.6522, scimark_benchmark: 924.1296, usercpu_time_millis: 2150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.5955, kappa: 0.4963, kb_relative_information_score: 154.0101, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6429, predictive_accuracy: 0.6165, prior_entropy: 1.9991, recall: 0.6165, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.8874, scimark_benchmark: 1336.2509, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.2409, kappa: 0.2057, kb_relative_information_score: 55.2049, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.175, predictive_accuracy: 0.3871, prior_entropy: 1.9991, recall: 0.3871, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.9532, scimark_benchmark: 918.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.2409, kappa: 0.2057, kb_relative_information_score: 55.2049, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.175, predictive_accuracy: 0.3871, prior_entropy: 1.9991, recall: 0.3871, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.9532, scimark_benchmark: 942.6843, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.2409, kappa: 0.2057, kb_relative_information_score: 55.2049, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.175, predictive_accuracy: 0.3871, prior_entropy: 1.9991, recall: 0.3871, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.9532, scimark_benchmark: 1372.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.2409, kappa: 0.2057, kb_relative_information_score: 55.2049, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.175, predictive_accuracy: 0.3871, prior_entropy: 1.9991, recall: 0.3871, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.9532, scimark_benchmark: 942.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.2409, kappa: 0.2057, kb_relative_information_score: 55.2049, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.175, predictive_accuracy: 0.3871, prior_entropy: 1.9991, recall: 0.3871, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.9532, scimark_benchmark: 1313.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.6702, kappa: 0.5666, kb_relative_information_score: 160.4443, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.679, predictive_accuracy: 0.6738, prior_entropy: 1.9991, recall: 0.6738, relative_absolute_error: 0.5133, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.7458, scimark_benchmark: 916.6405, usercpu_time_millis: 130, usercpu_time_millis_testing: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.6553, kappa: 0.5394, kb_relative_information_score: 163.6009, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6808, predictive_accuracy: 0.6523, prior_entropy: 1.9991, recall: 0.6523, relative_absolute_error: 0.4906, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.7834, scimark_benchmark: 937.6212, usercpu_time_millis: 150, usercpu_time_millis_testing: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.3531, kappa: 0.254, kb_relative_information_score: 67.8317, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.3061, predictive_accuracy: 0.4265, prior_entropy: 1.9991, recall: 0.4265, relative_absolute_error: 0.8815, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.9725, scimark_benchmark: 912.5006, usercpu_time_millis: 1050, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.6752, kappa: 0.5976, kb_relative_information_score: 105.8619, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6985, predictive_accuracy: 0.6953, prior_entropy: 1.9991, recall: 0.6953, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.364, root_relative_squared_error: 0.841, scimark_benchmark: 1369.9744, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.7158, kappa: 0.6284, kb_relative_information_score: 177.0098, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7235, predictive_accuracy: 0.7204, prior_entropy: 1.9991, recall: 0.7204, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.6658, scimark_benchmark: 915.9324, usercpu_time_millis: 820, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.6911, kappa: 0.6229, kb_relative_information_score: 185.0774, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7137, predictive_accuracy: 0.7204, prior_entropy: 1.9991, recall: 0.7204, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.8638, scimark_benchmark: 939.449, usercpu_time_millis: 500, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.6448, kappa: 0.5353, kb_relative_information_score: 156.6146, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6402, predictive_accuracy: 0.6523, prior_entropy: 1.9991, recall: 0.6523, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.8469, scimark_benchmark: 1346.9602, usercpu_time_millis: 3080, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.7465, kappa: 0.671, kb_relative_information_score: 181.0066, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7505, predictive_accuracy: 0.7527, prior_entropy: 1.9991, recall: 0.7527, relative_absolute_error: 0.4421, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.631, scimark_benchmark: 1301.9956, usercpu_time_millis: 480, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.7018, kappa: 0.61, kb_relative_information_score: 180.3341, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7143, predictive_accuracy: 0.7061, prior_entropy: 1.9991, recall: 0.7061, relative_absolute_error: 0.3921, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.8857, scimark_benchmark: 1301.9956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.6771, kappa: 0.5719, kb_relative_information_score: 153.7095, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6743, predictive_accuracy: 0.681, prior_entropy: 1.9991, recall: 0.681, relative_absolute_error: 0.5475, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.779, scimark_benchmark: 1325.942, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.6523, kappa: 0.5582, kb_relative_information_score: 156.1308, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6616, predictive_accuracy: 0.6667, prior_entropy: 1.9991, recall: 0.6667, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.8185, scimark_benchmark: 1361.1055, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.5335, kappa: 0.4208, kb_relative_information_score: 131.8781, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.6001, predictive_accuracy: 0.5627, prior_entropy: 1.9991, recall: 0.5627, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.4676, root_relative_squared_error: 1.0803, scimark_benchmark: 825.5282, usercpu_time_millis: 250, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, f_measure: 0.0862, kappa: 0.0043, kb_relative_information_score: 16.7992, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.2849, predictive_accuracy: 0.2222, prior_entropy: 1.9991, recall: 0.2222, relative_absolute_error: 1.0377, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.6236, root_relative_squared_error: 1.4407, scimark_benchmark: 1368.9272, usercpu_time_millis: 170, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.691, kappa: 0.6231, kb_relative_information_score: 188.7718, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7452, predictive_accuracy: 0.7133, prior_entropy: 1.9991, recall: 0.7133, relative_absolute_error: 0.3831, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.7492, scimark_benchmark: 1341.2341, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.4996, kappa: 0.3495, kb_relative_information_score: 113.8397, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.5132, predictive_accuracy: 0.509, prior_entropy: 1.9991, recall: 0.509, relative_absolute_error: 0.6551, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.4955, root_relative_squared_error: 1.1448, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.6774, kappa: 0.5838, kb_relative_information_score: 174.2507, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.674, predictive_accuracy: 0.6882, prior_entropy: 1.9991, recall: 0.6882, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.9123, scimark_benchmark: 977.6382, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0785, kb_relative_information_score: 2.1493, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.0478, predictive_accuracy: 0.2186, prior_entropy: 1.9991, recall: 0.2186, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.434, root_relative_squared_error: 1.0026, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7268, kappa: 0.6374, kb_relative_information_score: 187.3154, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.3748, number_of_instances: 279, precision: 0.7341, predictive_accuracy: 0.7276, prior_entropy: 1.9991, recall: 0.7276, relative_absolute_error: 0.3711, root_mean_prior_squared_error: 0.4328, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.7807, scimark_benchmark: 1066.833, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

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