OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 146082 Supervised Classification musk 13306 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1237.3081, usercpu_time_millis: 272.467, usercpu_time_millis_testing: 0.835, usercpu_time_millis_training: 271.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1197.058, usercpu_time_millis: 251.656, usercpu_time_millis_testing: 0.785, usercpu_time_millis_training: 250.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1239.7539, usercpu_time_millis: 271.207, usercpu_time_millis_testing: 0.976, usercpu_time_millis_training: 270.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6516.4027, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0124, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0332, root_relative_squared_error: 0.0918, scimark_benchmark: 1243.0108, usercpu_time_millis: 469.493, usercpu_time_millis_testing: 2.935, usercpu_time_millis_training: 466.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9648, kappa: 0.863, kb_relative_information_score: 5178.1919, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9647, predictive_accuracy: 0.9653, prior_entropy: 0.6204, recall: 0.9653, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.4612, scimark_benchmark: 1211.7914, usercpu_time_millis: 882.472, usercpu_time_millis_testing: 8.965, usercpu_time_millis_training: 873.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9622, kappa: 0.8521, kb_relative_information_score: 5210.734, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9623, predictive_accuracy: 0.963, prior_entropy: 0.6204, recall: 0.963, relative_absolute_error: 0.2127, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.4544, scimark_benchmark: 1218.4083, usercpu_time_millis: 467.747, usercpu_time_millis_testing: 2.995, usercpu_time_millis_training: 464.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.949, kappa: 0.8005, kb_relative_information_score: 4703.1618, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9487, predictive_accuracy: 0.95, prior_entropy: 0.6204, recall: 0.95, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5407, scimark_benchmark: 1251.2062, usercpu_time_millis: 806.436, usercpu_time_millis_testing: 8.195, usercpu_time_millis_training: 798.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.0923, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.016, root_relative_squared_error: 0.0442, scimark_benchmark: 1205.6603, usercpu_time_millis: 284.931, usercpu_time_millis_testing: 0.837, usercpu_time_millis_training: 284.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6482.3565, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 0.0181, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0349, root_relative_squared_error: 0.0967, scimark_benchmark: 1229.5547, usercpu_time_millis: 590.551, usercpu_time_millis_testing: 4.047, usercpu_time_millis_training: 586.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9648, kappa: 0.863, kb_relative_information_score: 5182.0745, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9647, predictive_accuracy: 0.9653, prior_entropy: 0.6204, recall: 0.9653, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.4606, scimark_benchmark: 1217.1726, usercpu_time_millis: 909.667, usercpu_time_millis_testing: 10.873, usercpu_time_millis_training: 898.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9488, kappa: 0.8, kb_relative_information_score: 4702.8564, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9485, predictive_accuracy: 0.9498, prior_entropy: 0.6204, recall: 0.9498, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.5408, scimark_benchmark: 1225.8342, usercpu_time_millis: 847.526, usercpu_time_millis_testing: 8.336, usercpu_time_millis_training: 839.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6564.6456, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0045, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0225, root_relative_squared_error: 0.0623, scimark_benchmark: 1212.8066, usercpu_time_millis: 326.588, usercpu_time_millis_testing: 1.013, usercpu_time_millis_training: 325.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1247.2707, usercpu_time_millis: 316.934, usercpu_time_millis_testing: 1.092, usercpu_time_millis_training: 315.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9657, kappa: 0.8662, kb_relative_information_score: 5198.3434, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9656, predictive_accuracy: 0.9662, prior_entropy: 0.6204, recall: 0.9662, relative_absolute_error: 0.2097, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.4581, scimark_benchmark: 1230.6091, usercpu_time_millis: 928.53, usercpu_time_millis_testing: 10.239, usercpu_time_millis_training: 918.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9771, kappa: 0.9115, kb_relative_information_score: 5604.3269, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.977, predictive_accuracy: 0.9773, prior_entropy: 0.6204, recall: 0.9773, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.3592, scimark_benchmark: 1205.9132, usercpu_time_millis: 445.263, usercpu_time_millis_testing: 3.186, usercpu_time_millis_training: 442.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1240.6327, usercpu_time_millis: 288.612, usercpu_time_millis_testing: 0.831, usercpu_time_millis_training: 287.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6559.0587, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0051, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0681, scimark_benchmark: 1252.9161, usercpu_time_millis: 268.897, usercpu_time_millis_testing: 0.974, usercpu_time_millis_training: 267.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9671, kappa: 0.8723, kb_relative_information_score: 5299.0886, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.967, predictive_accuracy: 0.9676, prior_entropy: 0.6204, recall: 0.9676, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.445, scimark_benchmark: 1251.811, usercpu_time_millis: 730.075, usercpu_time_millis_testing: 6.413, usercpu_time_millis_training: 723.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9608, kappa: 0.8463, kb_relative_information_score: 5164.7953, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9609, predictive_accuracy: 0.9617, prior_entropy: 0.6204, recall: 0.9617, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.4616, scimark_benchmark: 1233.8648, usercpu_time_millis: 459.404, usercpu_time_millis_testing: 2.779, usercpu_time_millis_training: 456.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6491.7353, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 0.017, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0311, root_relative_squared_error: 0.0862, scimark_benchmark: 1244.0258, usercpu_time_millis: 525.512, usercpu_time_millis_testing: 3.499, usercpu_time_millis_training: 522.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9563, kappa: 0.828, kb_relative_information_score: 4761.7187, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9566, predictive_accuracy: 0.9576, prior_entropy: 0.6204, recall: 0.9576, relative_absolute_error: 0.2646, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.4991, scimark_benchmark: 1260.6724, usercpu_time_millis: 454.498, usercpu_time_millis_testing: 3.301, usercpu_time_millis_training: 451.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.978, kappa: 0.9153, kb_relative_information_score: 5800.016, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.978, predictive_accuracy: 0.9782, prior_entropy: 0.6204, recall: 0.9782, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.3492, scimark_benchmark: 1251.6083, usercpu_time_millis: 444.77, usercpu_time_millis_testing: 3.182, usercpu_time_millis_training: 441.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5167.119, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9648, predictive_accuracy: 0.9654, prior_entropy: 0.6204, recall: 0.9654, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.4628, scimark_benchmark: 1260.63, usercpu_time_millis: 942.722, usercpu_time_millis_testing: 11.547, usercpu_time_millis_training: 931.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1249.3132, usercpu_time_millis: 301.124, usercpu_time_millis_testing: 0.971, usercpu_time_millis_training: 300.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.97, kappa: 0.8832, kb_relative_information_score: 5493.244, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.97, predictive_accuracy: 0.9704, prior_entropy: 0.6204, recall: 0.9704, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.4065, scimark_benchmark: 1231.8053, usercpu_time_millis: 453.645, usercpu_time_millis_testing: 3.476, usercpu_time_millis_training: 450.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: 6559.823, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 0.0055, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0229, root_relative_squared_error: 0.0633, scimark_benchmark: 1228.5485, usercpu_time_millis: 219.54, usercpu_time_millis_testing: 1.357, usercpu_time_millis_training: 218.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9528, kappa: 0.8151, kb_relative_information_score: 4847.055, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9526, predictive_accuracy: 0.9538, prior_entropy: 0.6204, recall: 0.9538, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.514, scimark_benchmark: 1215.5644, usercpu_time_millis: 589.634, usercpu_time_millis_testing: 5.594, usercpu_time_millis_training: 584.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.9287, kappa: 0.7108, kb_relative_information_score: 3959.5653, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9315, predictive_accuracy: 0.9333, prior_entropy: 0.6204, recall: 0.9333, relative_absolute_error: 0.3831, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.6183, scimark_benchmark: 1259.351, usercpu_time_millis: 651.774, usercpu_time_millis_testing: 4.28, usercpu_time_millis_training: 647.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9635, kappa: 0.8581, kb_relative_information_score: 5168.8911, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9634, predictive_accuracy: 0.9641, prior_entropy: 0.6204, recall: 0.9641, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.4614, scimark_benchmark: 1254.647, usercpu_time_millis: 639.688, usercpu_time_millis_testing: 5.676, usercpu_time_millis_training: 634.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6543.4658, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0087, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0242, root_relative_squared_error: 0.067, scimark_benchmark: 1244.7776, usercpu_time_millis: 273.933, usercpu_time_millis_testing: 1.716, usercpu_time_millis_training: 272.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6532.6421, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0097, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0681, scimark_benchmark: 1258.8036, usercpu_time_millis: 467.71, usercpu_time_millis_testing: 2.782, usercpu_time_millis_training: 464.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: 6464.3891, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6204, recall: 0.9982, relative_absolute_error: 0.0207, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0416, root_relative_squared_error: 0.1151, scimark_benchmark: 1237.292, usercpu_time_millis: 438.705, usercpu_time_millis_testing: 3.162, usercpu_time_millis_training: 435.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9632, kappa: 0.8569, kb_relative_information_score: 5149.76, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9631, predictive_accuracy: 0.9638, prior_entropy: 0.6204, recall: 0.9638, relative_absolute_error: 0.2153, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.464, scimark_benchmark: 1240.4262, usercpu_time_millis: 614.376, usercpu_time_millis_testing: 6.068, usercpu_time_millis_training: 608.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1225.597, usercpu_time_millis: 222.648, usercpu_time_millis_testing: 0.716, usercpu_time_millis_training: 221.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6577.9076, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0092, root_relative_squared_error: 0.0255, scimark_benchmark: 1260.1197, usercpu_time_millis: 339.425, usercpu_time_millis_testing: 2.341, usercpu_time_millis_training: 337.084,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.8376, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0287, scimark_benchmark: 1241.7886, usercpu_time_millis: 356.117, usercpu_time_millis_testing: 2.744, usercpu_time_millis_training: 353.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6580.7675, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0163, root_relative_squared_error: 0.045, scimark_benchmark: 1234.0135, usercpu_time_millis: 274.749, usercpu_time_millis_testing: 0.827, usercpu_time_millis_training: 273.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6569.3285, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0204, root_relative_squared_error: 0.0566, scimark_benchmark: 1242.0593, usercpu_time_millis: 266.573, usercpu_time_millis_testing: 0.883, usercpu_time_millis_training: 265.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1250.6467, usercpu_time_millis: 241.378, usercpu_time_millis_testing: 1.025, usercpu_time_millis_training: 240.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1245.5105, usercpu_time_millis: 281.653, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 280.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.998, kappa: 0.9925, kb_relative_information_score: 6494.0157, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.6204, recall: 0.998, relative_absolute_error: 0.0155, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0434, root_relative_squared_error: 0.1201, scimark_benchmark: 1240.6403, usercpu_time_millis: 276.49, usercpu_time_millis_testing: 1.314, usercpu_time_millis_training: 275.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1254.2346, usercpu_time_millis: 248.392, usercpu_time_millis_testing: 0.746, usercpu_time_millis_training: 247.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9319, kappa: 0.7264, kb_relative_information_score: 4034.5937, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9331, predictive_accuracy: 0.9354, prior_entropy: 0.6204, recall: 0.9354, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.6003, scimark_benchmark: 1247.4615, usercpu_time_millis: 475.01, usercpu_time_millis_testing: 3.523, usercpu_time_millis_training: 471.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9866, kappa: 0.9482, kb_relative_information_score: 6109.6419, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9866, predictive_accuracy: 0.9867, prior_entropy: 0.6204, recall: 0.9867, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.2617, scimark_benchmark: 1225.2949, usercpu_time_millis: 546.958, usercpu_time_millis_testing: 4.06, usercpu_time_millis_training: 542.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6495.9464, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.0163, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0386, root_relative_squared_error: 0.1068, scimark_benchmark: 1262.622, usercpu_time_millis: 342.982, usercpu_time_millis_testing: 2.766, usercpu_time_millis_training: 340.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6490.1146, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 0.0172, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.032, root_relative_squared_error: 0.0885, scimark_benchmark: 1254.1971, usercpu_time_millis: 507.214, usercpu_time_millis_testing: 3.353, usercpu_time_millis_training: 503.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1255.2519, usercpu_time_millis: 290.451, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 289.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1237.9816, usercpu_time_millis: 286.833, usercpu_time_millis_testing: 0.822, usercpu_time_millis_training: 286.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9977, kappa: 0.9913, kb_relative_information_score: 6484.4579, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9977, predictive_accuracy: 0.9977, prior_entropy: 0.6204, recall: 0.9977, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0452, root_relative_squared_error: 0.1253, scimark_benchmark: 1229.045, usercpu_time_millis: 234.018, usercpu_time_millis_testing: 1.259, usercpu_time_millis_training: 232.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.8522, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0287, scimark_benchmark: 1252.1505, usercpu_time_millis: 393.146, usercpu_time_millis_testing: 2.888, usercpu_time_millis_training: 390.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.92, kappa: 0.6743, kb_relative_information_score: 3516.1433, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.923, predictive_accuracy: 0.9257, prior_entropy: 0.6204, recall: 0.9257, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6788, scimark_benchmark: 1231.9729, usercpu_time_millis: 645.141, usercpu_time_millis_testing: 5.139, usercpu_time_millis_training: 640.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9669, kappa: 0.8712, kb_relative_information_score: 5331.9427, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9669, predictive_accuracy: 0.9674, prior_entropy: 0.6204, recall: 0.9674, relative_absolute_error: 0.1866, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.4353, scimark_benchmark: 1251.7357, usercpu_time_millis: 809.29, usercpu_time_millis_testing: 8.319, usercpu_time_millis_training: 800.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.928, kappa: 0.7087, kb_relative_information_score: 3849.4889, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9302, predictive_accuracy: 0.9324, prior_entropy: 0.6204, recall: 0.9324, relative_absolute_error: 0.3909, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.6246, scimark_benchmark: 1251.4395, usercpu_time_millis: 547.188, usercpu_time_millis_testing: 3.493, usercpu_time_millis_training: 543.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9909, kappa: 0.965, kb_relative_information_score: 6233.5348, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 0.6204, recall: 0.9909, relative_absolute_error: 0.0575, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.224, scimark_benchmark: 1238.6647, usercpu_time_millis: 460.63, usercpu_time_millis_testing: 2.642, usercpu_time_millis_training: 457.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.949, kappa: 0.8005, kb_relative_information_score: 4705.2961, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9487, predictive_accuracy: 0.95, prior_entropy: 0.6204, recall: 0.95, relative_absolute_error: 0.2725, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.195, root_relative_squared_error: 0.5401, scimark_benchmark: 1263.7098, usercpu_time_millis: 704.008, usercpu_time_millis_testing: 7.628, usercpu_time_millis_training: 696.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.9194, kappa: 0.6725, kb_relative_information_score: 3495.2698, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9217, predictive_accuracy: 0.9248, prior_entropy: 0.6204, recall: 0.9248, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.245, root_relative_squared_error: 0.6786, scimark_benchmark: 1248.0597, usercpu_time_millis: 662.593, usercpu_time_millis_testing: 7.326, usercpu_time_millis_training: 655.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9332, kappa: 0.7323, kb_relative_information_score: 4104.4859, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9344, predictive_accuracy: 0.9366, prior_entropy: 0.6204, recall: 0.9366, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.5919, scimark_benchmark: 1258.5369, usercpu_time_millis: 504.872, usercpu_time_millis_testing: 2.872, usercpu_time_millis_training: 502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6503.4273, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.036, root_relative_squared_error: 0.0996, scimark_benchmark: 1246.5431, usercpu_time_millis: 454.834, usercpu_time_millis_testing: 2.888, usercpu_time_millis_training: 451.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9591, kappa: 0.8396, kb_relative_information_score: 4916.1013, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9593, predictive_accuracy: 0.9601, prior_entropy: 0.6204, recall: 0.9601, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.4751, scimark_benchmark: 1251.4634, usercpu_time_millis: 474.534, usercpu_time_millis_testing: 3.265, usercpu_time_millis_training: 471.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.9194, kappa: 0.6725, kb_relative_information_score: 3494.9021, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9217, predictive_accuracy: 0.9248, prior_entropy: 0.6204, recall: 0.9248, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6787, scimark_benchmark: 1251.9813, usercpu_time_millis: 731.634, usercpu_time_millis_testing: 7.235, usercpu_time_millis_training: 724.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1243.9213, usercpu_time_millis: 270.283, usercpu_time_millis_testing: 0.794, usercpu_time_millis_training: 269.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.988, kappa: 0.9537, kb_relative_information_score: 6163.212, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 0.6204, recall: 0.988, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.2489, scimark_benchmark: 1239.0224, usercpu_time_millis: 399.174, usercpu_time_millis_testing: 2.749, usercpu_time_millis_training: 396.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6532.8104, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0097, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0245, root_relative_squared_error: 0.0679, scimark_benchmark: 1241.8956, usercpu_time_millis: 383.191, usercpu_time_millis_testing: 2.752, usercpu_time_millis_training: 380.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9467, kappa: 0.7931, kb_relative_information_score: 4579.6866, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9463, predictive_accuracy: 0.9474, prior_entropy: 0.6204, recall: 0.9474, relative_absolute_error: 0.279, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.5536, scimark_benchmark: 1253.3947, usercpu_time_millis: 736.107, usercpu_time_millis_testing: 8.288, usercpu_time_millis_training: 727.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9806, kappa: 0.9249, kb_relative_information_score: 6003.4656, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9806, predictive_accuracy: 0.9808, prior_entropy: 0.6204, recall: 0.9808, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.2983, scimark_benchmark: 1262.211, usercpu_time_millis: 463.758, usercpu_time_millis_testing: 2.909, usercpu_time_millis_training: 460.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9607, kappa: 0.8467, kb_relative_information_score: 5095.3276, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9607, predictive_accuracy: 0.9615, prior_entropy: 0.6204, recall: 0.9615, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.473, scimark_benchmark: 1233.5331, usercpu_time_millis: 695.867, usercpu_time_millis_testing: 6.234, usercpu_time_millis_training: 689.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6576.9964, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0139, root_relative_squared_error: 0.0385, scimark_benchmark: 1243.6982, usercpu_time_millis: 236.474, usercpu_time_millis_testing: 1.657, usercpu_time_millis_training: 234.817,

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

OpenML bootcamp

From your own software

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

OpenML APIs