Task
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43621 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1213.8702, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.1341, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.279, scimark_benchmark: 1872.6571, usercpu_time_millis: 3.914, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 3.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1258.8901, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0991, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.2152, scimark_benchmark: 1847.9181, usercpu_time_millis: 5.989, usercpu_time_millis_testing: 0.657, usercpu_time_millis_training: 5.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9832, kappa: 0.966, kb_relative_information_score: 1222.6257, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.1288, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.2585, scimark_benchmark: 1845.147, usercpu_time_millis: 7.144, usercpu_time_millis_testing: 0.899, usercpu_time_millis_training: 6.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0085, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1871.2729, usercpu_time_millis: 1.866, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 1.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9628, kappa: 0.9246, kb_relative_information_score: 1149.5315, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.9912, recall: 0.9628, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.3551, scimark_benchmark: 1848.372, usercpu_time_millis: 4.813, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 4.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9109, kappa: 0.8192, kb_relative_information_score: 1013.321, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9113, predictive_accuracy: 0.9111, prior_entropy: 0.9912, recall: 0.9111, relative_absolute_error: 0.2801, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.5342, scimark_benchmark: 1851.0585, usercpu_time_millis: 4.551, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 4.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9672, kappa: 0.9334, kb_relative_information_score: 1150.6895, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9673, predictive_accuracy: 0.9672, prior_entropy: 0.9912, recall: 0.9672, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3455, scimark_benchmark: 1864.9656, usercpu_time_millis: 0.817, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.8916, kappa: 0.7798, kb_relative_information_score: 526.1104, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8985, predictive_accuracy: 0.8929, prior_entropy: 0.9912, recall: 0.8929, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7209, scimark_benchmark: 1865.4271, usercpu_time_millis: 2.846, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 2.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9832, kappa: 0.9661, kb_relative_information_score: 1117.2672, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.2235, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3244, scimark_benchmark: 1869.1727, usercpu_time_millis: 1.647, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 1.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9737, kappa: 0.9468, kb_relative_information_score: 1153.5646, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9739, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.3272, scimark_benchmark: 1869.1727, usercpu_time_millis: 0.88, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9159, kappa: 0.8295, kb_relative_information_score: 1015.2682, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9165, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.2815, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.252, root_relative_squared_error: 0.5071, scimark_benchmark: 1786.1493, usercpu_time_millis: 2.437, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 2.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.8763, kappa: 0.7489, kb_relative_information_score: 613.083, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8774, predictive_accuracy: 0.8768, prior_entropy: 0.9912, recall: 0.8768, relative_absolute_error: 0.6086, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.68, scimark_benchmark: 1871.7311, usercpu_time_millis: 0.096, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0562, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1873.4656, usercpu_time_millis: 1.89, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 1.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9061, kappa: 0.8094, kb_relative_information_score: 886.2372, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9085, predictive_accuracy: 0.9067, prior_entropy: 0.9912, recall: 0.9067, relative_absolute_error: 0.3987, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.5327, scimark_benchmark: 1865.4271, usercpu_time_millis: 1.856, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 1.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.8825, kappa: 0.7617, kb_relative_information_score: 551.5616, mean_absolute_error: 0.3242, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8826, predictive_accuracy: 0.8827, prior_entropy: 0.9912, recall: 0.8827, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7099, scimark_benchmark: 1788.9906, usercpu_time_millis: 0.937, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 0.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0425, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1851.5723, usercpu_time_millis: 0.95, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 0.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9151, kappa: 0.8276, kb_relative_information_score: 918.2132, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9166, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.3682, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.535, scimark_benchmark: 1851.0585, usercpu_time_millis: 0.625, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: 0.0003, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1847.3472, usercpu_time_millis: 0.147, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1261.9801, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.0939, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.2288, scimark_benchmark: 1867.6581, usercpu_time_millis: 0.501, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1293.5473, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0679, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.1853, scimark_benchmark: 1865.4271, usercpu_time_millis: 0.49, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.968, kappa: 0.9352, kb_relative_information_score: 1014.2703, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9681, predictive_accuracy: 0.9679, prior_entropy: 0.9912, recall: 0.9679, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4093, scimark_benchmark: 1864.9731, usercpu_time_millis: 0.59, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1222.3967, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.1293, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.2612, scimark_benchmark: 1863.2815, usercpu_time_millis: 0.347, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1296.2719, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2048, scimark_benchmark: 1819.2445, usercpu_time_millis: 11.974, usercpu_time_millis_testing: 0.705, usercpu_time_millis_training: 11.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1283.6596, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0766, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.1968, scimark_benchmark: 1739.9311, usercpu_time_millis: 8.3, usercpu_time_millis_testing: 0.647, usercpu_time_millis_training: 7.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9694, kappa: 0.938, kb_relative_information_score: 1162.1171, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9694, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.1737, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3407, scimark_benchmark: 1816.8913, usercpu_time_millis: 7.375, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 6.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1268.3275, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0904, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.2084, scimark_benchmark: 1823.3135, usercpu_time_millis: 4.484, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 4.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1301.6033, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0597, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.1849, scimark_benchmark: 1844.5021, usercpu_time_millis: 8.252, usercpu_time_millis_testing: 0.738, usercpu_time_millis_training: 7.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9357, kappa: 0.8694, kb_relative_information_score: 1023.4472, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9365, predictive_accuracy: 0.9359, prior_entropy: 0.9912, recall: 0.9359, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.465, scimark_benchmark: 1813.5403, usercpu_time_millis: 6.023, usercpu_time_millis_testing: 0.683, usercpu_time_millis_training: 5.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1295.1439, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0671, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.1781, scimark_benchmark: 1906.8727, usercpu_time_millis: 7.327, usercpu_time_millis_testing: 0.587, usercpu_time_millis_training: 6.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9796, kappa: 0.9586, kb_relative_information_score: 1176.9721, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9796, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.3123, scimark_benchmark: 1819.2445, usercpu_time_millis: 3.885, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 3.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1225.5676, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.1282, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.123, root_relative_squared_error: 0.2476, scimark_benchmark: 1822.0588, usercpu_time_millis: 7.471, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 6.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1263.7623, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.11, root_relative_squared_error: 0.2214, scimark_benchmark: 1864.4376, usercpu_time_millis: 6.418, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 5.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9006, kappa: 0.7982, kb_relative_information_score: 650.3059, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9059, predictive_accuracy: 0.9016, prior_entropy: 0.9912, recall: 0.9016, relative_absolute_error: 0.5868, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6456, scimark_benchmark: 1819.2445, usercpu_time_millis: 3.277, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 2.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1308.7094, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.054, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.171, scimark_benchmark: 1829.5722, usercpu_time_millis: 7.571, usercpu_time_millis_testing: 0.723, usercpu_time_millis_training: 6.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9497, kappa: 0.898, kb_relative_information_score: 1023.2998, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9498, predictive_accuracy: 0.9497, prior_entropy: 0.9912, recall: 0.9497, relative_absolute_error: 0.291, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.4372, scimark_benchmark: 1908.3937, usercpu_time_millis: 5.464, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 4.918,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9133, kappa: 0.824, kb_relative_information_score: 910.6638, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9168, predictive_accuracy: 0.914, prior_entropy: 0.9912, recall: 0.914, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.5144, scimark_benchmark: 1869.1727, usercpu_time_millis: 2.601, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 2.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.0383, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1860.595, usercpu_time_millis: 2.089, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 1.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0211, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1736.5778, usercpu_time_millis: 2.107, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 1.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9694, kappa: 0.9381, kb_relative_information_score: 1136.2415, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9695, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.3416, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.708, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9024, kb_relative_information_score: 1075.4385, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 0.9912, recall: 0.9519, relative_absolute_error: 0.2468, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.3938, scimark_benchmark: 1856.5132, usercpu_time_millis: 4.206, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 3.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1209.4176, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.2428, scimark_benchmark: 1850.8057, usercpu_time_millis: 5.813, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 5.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8502, kappa: 0.6981, kb_relative_information_score: 733.57, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8522, predictive_accuracy: 0.8499, prior_entropy: 0.9912, recall: 0.8499, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6903, scimark_benchmark: 1860.4615, usercpu_time_millis: 3.271, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 2.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9636, kappa: 0.9263, kb_relative_information_score: 988.6904, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.9912, recall: 0.9636, relative_absolute_error: 0.3257, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.4338, scimark_benchmark: 1860.5921, usercpu_time_millis: 4.271, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 3.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8762, kappa: 0.7496, kb_relative_information_score: 612.0268, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8765, predictive_accuracy: 0.8761, prior_entropy: 0.9912, recall: 0.8761, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6805, scimark_benchmark: 1814.4492, usercpu_time_millis: 1.874, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 1.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.8916, kappa: 0.7799, kb_relative_information_score: 604.3271, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.898, predictive_accuracy: 0.8929, prior_entropy: 0.9912, recall: 0.8929, relative_absolute_error: 0.6201, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.6732, scimark_benchmark: 1861.8971, usercpu_time_millis: 2.465, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 2.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.8891, kappa: 0.7752, kb_relative_information_score: 702.6907, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8891, predictive_accuracy: 0.8892, prior_entropy: 0.9912, recall: 0.8892, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6267, scimark_benchmark: 1856.9748, usercpu_time_millis: 1.151, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1281.863, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0787, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.097, root_relative_squared_error: 0.1952, scimark_benchmark: 1862.8168, usercpu_time_millis: 1.479, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 1.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8781, kappa: 0.7528, kb_relative_information_score: 615.3079, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8782, predictive_accuracy: 0.8783, prior_entropy: 0.9912, recall: 0.8783, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6785, scimark_benchmark: 1805.5372, usercpu_time_millis: 0.322, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0126, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1866.9264, usercpu_time_millis: 0.932, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 0.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9401, kappa: 0.8785, kb_relative_information_score: 890.3548, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9406, predictive_accuracy: 0.9402, prior_entropy: 0.9912, recall: 0.9402, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.4989, scimark_benchmark: 1855.3856, usercpu_time_millis: 1.721, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 1.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1255.8798, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.1036, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.2058, scimark_benchmark: 1871.2729, usercpu_time_millis: 9.104, usercpu_time_millis_testing: 1.067, usercpu_time_millis_training: 8.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9109, kappa: 0.8192, kb_relative_information_score: 1011.0771, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9113, predictive_accuracy: 0.9111, prior_entropy: 0.9912, recall: 0.9111, relative_absolute_error: 0.2826, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5326, scimark_benchmark: 1869.1029, usercpu_time_millis: 8.967, usercpu_time_millis_testing: 0.534, usercpu_time_millis_training: 8.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1311.5025, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.1776, scimark_benchmark: 1873.4078, usercpu_time_millis: 6.679, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 6.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1298.3681, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0629, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.1857, scimark_benchmark: 1869.6309, usercpu_time_millis: 5.245, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 4.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1249.0349, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.1069, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.114, root_relative_squared_error: 0.2294, scimark_benchmark: 1867.3423, usercpu_time_millis: 5.155, usercpu_time_millis_testing: 0.565, usercpu_time_millis_training: 4.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1174.4703, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.2769, scimark_benchmark: 1874.977, usercpu_time_millis: 4.915, usercpu_time_millis_testing: 0.534, usercpu_time_millis_training: 4.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1249.0257, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.1097, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.212, scimark_benchmark: 1865.8853, usercpu_time_millis: 4.71, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 4.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9759, kappa: 0.9512, kb_relative_information_score: 1189.3805, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.976, predictive_accuracy: 0.9759, prior_entropy: 0.9912, recall: 0.9759, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.3151, scimark_benchmark: 1864.5233, usercpu_time_millis: 3.194, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 2.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9912, kappa: 0.9823, kb_relative_information_score: 1296.7865, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0653, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.1787, scimark_benchmark: 1864.9656, usercpu_time_millis: 3.744, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 3.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.8885, kappa: 0.7736, kb_relative_information_score: 381.3395, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8961, predictive_accuracy: 0.8899, prior_entropy: 0.9912, recall: 0.8899, relative_absolute_error: 0.7761, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.7987, scimark_benchmark: 1863.87, usercpu_time_millis: 2.794, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 2.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9156, kappa: 0.8286, kb_relative_information_score: 770.9101, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9186, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.4949, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.5788, scimark_benchmark: 1871.2001, usercpu_time_millis: 2.518, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 2.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1241.0956, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.1169, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2186, scimark_benchmark: 1743.3016, usercpu_time_millis: 9.576, usercpu_time_millis_testing: 1.141, usercpu_time_millis_training: 8.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1207.2773, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.2781, scimark_benchmark: 1873.4078, usercpu_time_millis: 2.983, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 2.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1253.1197, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.1061, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.2083, scimark_benchmark: 1865.9581, usercpu_time_millis: 1.577, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 1.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1215.4188, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.12, root_relative_squared_error: 0.2415, scimark_benchmark: 1865.8853, usercpu_time_millis: 1.532, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 1.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.0341, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1864.4451, usercpu_time_millis: 0.974, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 0.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9796, kappa: 0.9586, kb_relative_information_score: 1166.9617, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9797, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.2994, scimark_benchmark: 1867.9854, usercpu_time_millis: 0.253, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1272.7413, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9877, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0835, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.2308, scimark_benchmark: 1872.1262, usercpu_time_millis: 5.815, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 5.407,

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