Task
Supervised Classification on vehicle

Supervised Classification on vehicle

Task 4562 Supervised Classification vehicle 211 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6325, kb_relative_information_score: 2144.2964, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.551, predictive_accuracy: 0.7423, prior_entropy: 0.8241, recall: 0.7423, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.1607, scimark_benchmark: 1360.9406, usercpu_time_millis: 550, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6325, kb_relative_information_score: 2144.2964, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.551, predictive_accuracy: 0.7423, prior_entropy: 0.8241, recall: 0.7423, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.1607, scimark_benchmark: 1311.7006, usercpu_time_millis: 570, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8685, kappa: 0.6556, kb_relative_information_score: 5220.0655, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.8683, predictive_accuracy: 0.8687, prior_entropy: 0.8241, recall: 0.8687, relative_absolute_error: 0.3452, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.7747, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8685, kappa: 0.6556, kb_relative_information_score: 5220.0655, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.8683, predictive_accuracy: 0.8687, prior_entropy: 0.8241, recall: 0.8687, relative_absolute_error: 0.3452, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.7747, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9583, kappa: 0.8907, kb_relative_information_score: 7199.5923, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9582, predictive_accuracy: 0.9584, prior_entropy: 0.8241, recall: 0.9584, relative_absolute_error: 0.1482, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4359, scimark_benchmark: 1297.2338, usercpu_time_millis: 920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9518, kappa: 0.8738, kb_relative_information_score: 7065.4623, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9517, predictive_accuracy: 0.9519, prior_entropy: 0.8241, recall: 0.9519, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4685, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9748, kappa: 0.9339, kb_relative_information_score: 7143.4814, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9747, predictive_accuracy: 0.9748, prior_entropy: 0.8241, recall: 0.9748, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3417, scimark_benchmark: 1293.6566, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9518, kappa: 0.8738, kb_relative_information_score: 7065.4623, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9517, predictive_accuracy: 0.9519, prior_entropy: 0.8241, recall: 0.9519, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4685, scimark_benchmark: 1335.2029, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9518, kappa: 0.8738, kb_relative_information_score: 7065.4623, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9517, predictive_accuracy: 0.9519, prior_entropy: 0.8241, recall: 0.9519, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4685, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9588, kappa: 0.8919, kb_relative_information_score: 6352.3865, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9587, predictive_accuracy: 0.959, prior_entropy: 0.8241, recall: 0.959, relative_absolute_error: 0.2682, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.438, scimark_benchmark: 1347.917, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6325, kb_relative_information_score: 2144.2964, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.551, predictive_accuracy: 0.7423, prior_entropy: 0.8241, recall: 0.7423, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.1607, scimark_benchmark: 926.6704, usercpu_time_millis: 400, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8685, kappa: 0.6556, kb_relative_information_score: 5220.0655, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.8683, predictive_accuracy: 0.8687, prior_entropy: 0.8241, recall: 0.8687, relative_absolute_error: 0.3452, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.7747, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8685, kappa: 0.6556, kb_relative_information_score: 5220.0655, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.8683, predictive_accuracy: 0.8687, prior_entropy: 0.8241, recall: 0.8687, relative_absolute_error: 0.3452, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.7747, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 1380.2233, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 1343.2125, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9599, kappa: 0.8951, kb_relative_information_score: 6830.8416, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.8241, recall: 0.9599, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.4101, scimark_benchmark: 1337.446, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9812, kappa: 0.951, kb_relative_information_score: 7928.7593, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9813, predictive_accuracy: 0.9812, prior_entropy: 0.8241, recall: 0.9812, relative_absolute_error: 0.0585, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.2933, scimark_benchmark: 996.6105, usercpu_time_millis: 1570, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9674, kappa: 0.9147, kb_relative_information_score: 7364.8921, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9674, predictive_accuracy: 0.9674, prior_entropy: 0.8241, recall: 0.9674, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.16, root_relative_squared_error: 0.3659, scimark_benchmark: 1352.2099, usercpu_time_millis: 1460, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9588, kappa: 0.8919, kb_relative_information_score: 6352.3865, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9587, predictive_accuracy: 0.959, prior_entropy: 0.8241, recall: 0.959, relative_absolute_error: 0.2682, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.438, scimark_benchmark: 1314.7093, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9812, kappa: 0.9508, kb_relative_information_score: 7925.735, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9812, predictive_accuracy: 0.9812, prior_entropy: 0.8241, recall: 0.9812, relative_absolute_error: 0.0595, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2827, scimark_benchmark: 1310.6407, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9518, kappa: 0.8738, kb_relative_information_score: 7065.4623, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9517, predictive_accuracy: 0.9519, prior_entropy: 0.8241, recall: 0.9519, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4685, scimark_benchmark: 1337.5749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9827, kappa: 0.9545, kb_relative_information_score: 6671.9085, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9827, predictive_accuracy: 0.9827, prior_entropy: 0.8241, recall: 0.9827, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.3619, scimark_benchmark: 1342.2985, usercpu_time_millis: 240, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9735, kappa: 0.9306, kb_relative_information_score: 7698.8454, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9735, predictive_accuracy: 0.9735, prior_entropy: 0.8241, recall: 0.9735, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.336, scimark_benchmark: 1350.4702, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9837, kappa: 0.9573, kb_relative_information_score: 6676.3805, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.8241, recall: 0.9838, relative_absolute_error: 0.2517, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3604, scimark_benchmark: 1305.7231, usercpu_time_millis: 540, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9817, kappa: 0.952, kb_relative_information_score: 6673.4297, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 0.8241, recall: 0.9818, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3642, scimark_benchmark: 1331.2332, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9791, kappa: 0.9453, kb_relative_information_score: 7776.448, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9791, predictive_accuracy: 0.9791, prior_entropy: 0.8241, recall: 0.9791, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.2939, scimark_benchmark: 1324.5988, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.8987, kappa: 0.7297, kb_relative_information_score: 3671.1972, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.899, predictive_accuracy: 0.9011, prior_entropy: 0.8241, recall: 0.9011, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.6827, scimark_benchmark: 943.1756, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9635, kappa: 0.9045, kb_relative_information_score: 7451.2965, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9634, predictive_accuracy: 0.9635, prior_entropy: 0.8241, recall: 0.9635, relative_absolute_error: 0.1136, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.4304, scimark_benchmark: 1292.1375, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.8056, kappa: 0.4612, kb_relative_information_score: 2922.7959, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.8267, predictive_accuracy: 0.8271, prior_entropy: 0.8241, recall: 0.8271, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.7628, scimark_benchmark: 1319.4881, usercpu_time_millis: 2190, usercpu_time_millis_testing: 2190,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.975, kappa: 0.9347, kb_relative_information_score: 7150.0257, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.975, predictive_accuracy: 0.9751, prior_entropy: 0.8241, recall: 0.9751, relative_absolute_error: 0.1715, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3428, scimark_benchmark: 895.5332, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9742, kappa: 0.9325, kb_relative_information_score: 7138.2475, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9742, predictive_accuracy: 0.9742, prior_entropy: 0.8241, recall: 0.9742, relative_absolute_error: 0.1715, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3482, scimark_benchmark: 895.5332, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.9348, kappa: 0.8306, kb_relative_information_score: 6650.5605, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9353, predictive_accuracy: 0.9345, prior_entropy: 0.8241, recall: 0.9345, relative_absolute_error: 0.2043, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.5569, scimark_benchmark: 924.1296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9778, kappa: 0.9419, kb_relative_information_score: 7817.6009, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9778, predictive_accuracy: 0.9778, prior_entropy: 0.8241, recall: 0.9778, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.3124, scimark_benchmark: 1333.5799, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9733, kappa: 0.9304, kb_relative_information_score: 7652.1667, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9734, predictive_accuracy: 0.9733, prior_entropy: 0.8241, recall: 0.9733, relative_absolute_error: 0.0924, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.3246, scimark_benchmark: 939.5205, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9657, kappa: 0.9105, kb_relative_information_score: 7292.1495, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9658, predictive_accuracy: 0.9656, prior_entropy: 0.8241, recall: 0.9656, relative_absolute_error: 0.1379, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3705, scimark_benchmark: 933.3136, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9515, kappa: 0.8736, kb_relative_information_score: 6538.1554, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9517, predictive_accuracy: 0.9513, prior_entropy: 0.8241, recall: 0.9513, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.4511, scimark_benchmark: 1333.5799, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9216, kappa: 0.7945, kb_relative_information_score: 5501.7595, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9214, predictive_accuracy: 0.9217, prior_entropy: 0.8241, recall: 0.9217, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.5552, scimark_benchmark: 1404.1865, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9618, kappa: 0.9006, kb_relative_information_score: 6692.7423, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9621, predictive_accuracy: 0.9617, prior_entropy: 0.8241, recall: 0.9617, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.4225, scimark_benchmark: 933.3136, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9605, kappa: 0.8974, kb_relative_information_score: 6924.5242, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.961, predictive_accuracy: 0.9603, prior_entropy: 0.8241, recall: 0.9603, relative_absolute_error: 0.1676, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.4142, scimark_benchmark: 940.3347, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9497, kappa: 0.8693, kb_relative_information_score: 7212.8593, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9502, predictive_accuracy: 0.9494, prior_entropy: 0.8241, recall: 0.9494, relative_absolute_error: 0.1321, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.5143, scimark_benchmark: 1384.4418, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6325, kb_relative_information_score: 2144.2964, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.551, predictive_accuracy: 0.7423, prior_entropy: 0.8241, recall: 0.7423, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.1607, scimark_benchmark: 916.6405, usercpu_time_millis: 420, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.9311, kappa: 0.818, kb_relative_information_score: 6784.693, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9311, predictive_accuracy: 0.9319, prior_entropy: 0.8241, recall: 0.9319, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.5966, scimark_benchmark: 1318.1432, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9566, kappa: 0.886, kb_relative_information_score: 6576.9103, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9566, predictive_accuracy: 0.9569, prior_entropy: 0.8241, recall: 0.9569, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.4327, scimark_benchmark: 906.4475, usercpu_time_millis: 470, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.9212, kappa: 0.7968, kb_relative_information_score: 6498.2845, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9231, predictive_accuracy: 0.9202, prior_entropy: 0.8241, recall: 0.9202, relative_absolute_error: 0.2084, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2825, root_relative_squared_error: 0.6458, scimark_benchmark: 942.9708, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9755, kappa: 0.9359, kb_relative_information_score: 7068.2267, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9755, predictive_accuracy: 0.9755, prior_entropy: 0.8241, recall: 0.9755, relative_absolute_error: 0.1828, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.3495, scimark_benchmark: 932.0242, usercpu_time_millis: 18920, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 18690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9593, kappa: 0.8938, kb_relative_information_score: 7246.1734, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9594, predictive_accuracy: 0.9592, prior_entropy: 0.8241, recall: 0.9592, relative_absolute_error: 0.1384, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.4003, scimark_benchmark: 1250.8301, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9856, kappa: 0.9622, kb_relative_information_score: 7462.0247, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.8241, recall: 0.9856, relative_absolute_error: 0.1374, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.2746, scimark_benchmark: 1309.3173, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.9558, kappa: 0.8844, kb_relative_information_score: 7371.9751, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9558, predictive_accuracy: 0.9559, prior_entropy: 0.8241, recall: 0.9559, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.21, root_relative_squared_error: 0.4801, scimark_benchmark: 1354.2491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.959, kappa: 0.8926, kb_relative_information_score: 7156.0351, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9589, predictive_accuracy: 0.959, prior_entropy: 0.8241, recall: 0.959, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4427, scimark_benchmark: 1307.3269, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9542, kappa: 0.8803, kb_relative_information_score: 7107.6022, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9542, predictive_accuracy: 0.9541, prior_entropy: 0.8241, recall: 0.9541, relative_absolute_error: 0.1579, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4721, scimark_benchmark: 1318.1432, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.9193, kappa: 0.7862, kb_relative_information_score: 6506.9635, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9193, predictive_accuracy: 0.9206, prior_entropy: 0.8241, recall: 0.9206, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.6444, scimark_benchmark: 1321.6263, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5123, f_measure: 0.1429, kappa: 0.0129, kb_relative_information_score: -9268.6491, mean_absolute_error: 0.724, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.81, predictive_accuracy: 0.276, prior_entropy: 0.8241, recall: 0.276, relative_absolute_error: 1.8911, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.8509, root_relative_squared_error: 1.9455, scimark_benchmark: 1034.1273, usercpu_time_millis: 590, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9687, kappa: 0.9181, kb_relative_information_score: 7640.7359, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.8241, recall: 0.9687, relative_absolute_error: 0.0893, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.3986, scimark_benchmark: 1330.0803, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.7955, kappa: 0.4479, kb_relative_information_score: 3657.3434, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.7934, predictive_accuracy: 0.8041, prior_entropy: 0.8241, recall: 0.8041, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.4426, root_relative_squared_error: 1.0119, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.9596, kappa: 0.8944, kb_relative_information_score: 7461.6586, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9596, predictive_accuracy: 0.9596, prior_entropy: 0.8241, recall: 0.9596, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4597, scimark_benchmark: 1392.1129, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.6325, kb_relative_information_score: -4.0289, mean_absolute_error: 0.3829, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.551, predictive_accuracy: 0.7423, prior_entropy: 0.8241, recall: 0.7423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.4374, root_relative_squared_error: 1, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9616, kappa: 0.8998, kb_relative_information_score: 7406.1758, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9617, predictive_accuracy: 0.9616, prior_entropy: 0.8241, recall: 0.9616, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.438, scimark_benchmark: 1418.5826, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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