Task
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9617, kappa: 0.9059, kb_relative_information_score: 28443.7334, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.1885, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3832, scimark_benchmark: 1265.808, usercpu_time_millis: 94.44, usercpu_time_millis_testing: 6.22, usercpu_time_millis_training: 88.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9642, kappa: 0.9121, kb_relative_information_score: 28790.6174, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3716, scimark_benchmark: 1262.978, usercpu_time_millis: 818.225, usercpu_time_millis_testing: 31.688, usercpu_time_millis_training: 786.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9668, kappa: 0.9186, kb_relative_information_score: 29184.6736, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.9669, prior_entropy: 0.863, recall: 0.9669, relative_absolute_error: 0.1659, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3577, scimark_benchmark: 1273.8994, usercpu_time_millis: 479.604, usercpu_time_millis_testing: 16.864, usercpu_time_millis_training: 462.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9621, kappa: 0.9069, kb_relative_information_score: 28764.3041, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3808, scimark_benchmark: 1285.2236, usercpu_time_millis: 793.628, usercpu_time_millis_testing: 18.513, usercpu_time_millis_training: 775.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9558, kappa: 0.8908, kb_relative_information_score: 25419.9954, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4379, scimark_benchmark: 1291.9654, usercpu_time_millis: 803.417, usercpu_time_millis_testing: 55.657, usercpu_time_millis_training: 747.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9306, kappa: 0.8259, kb_relative_information_score: 19271.409, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9347, predictive_accuracy: 0.9327, prior_entropy: 0.863, recall: 0.9327, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5789, scimark_benchmark: 1296.2615, usercpu_time_millis: 836.184, usercpu_time_millis_testing: 63.804, usercpu_time_millis_training: 772.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9631, kappa: 0.9094, kb_relative_information_score: 28971.1046, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.3784, scimark_benchmark: 1269.4323, usercpu_time_millis: 718.71, usercpu_time_millis_testing: 8.954, usercpu_time_millis_training: 709.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9621, kappa: 0.9068, kb_relative_information_score: 28314.0934, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.1933, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3848, scimark_benchmark: 1270.7789, usercpu_time_millis: 603.046, usercpu_time_millis_testing: 27.396, usercpu_time_millis_training: 575.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9308, kappa: 0.8264, kb_relative_information_score: 19204.3504, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9351, predictive_accuracy: 0.9329, prior_entropy: 0.863, recall: 0.9329, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.262, root_relative_squared_error: 0.58, scimark_benchmark: 1291.8737, usercpu_time_millis: 867.85, usercpu_time_millis_testing: 61.963, usercpu_time_millis_training: 805.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9631, kappa: 0.9093, kb_relative_information_score: 29189.7902, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3754, scimark_benchmark: 1290.1225, usercpu_time_millis: 244.251, usercpu_time_millis_testing: 4.97, usercpu_time_millis_training: 239.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9633, kappa: 0.9098, kb_relative_information_score: 28930.5638, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3748, scimark_benchmark: 1288.2872, usercpu_time_millis: 580.209, usercpu_time_millis_testing: 13.865, usercpu_time_millis_training: 566.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9663, kappa: 0.9174, kb_relative_information_score: 29601.4988, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9664, prior_entropy: 0.863, recall: 0.9664, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.3622, scimark_benchmark: 1288.0453, usercpu_time_millis: 756.539, usercpu_time_millis_testing: 5.702, usercpu_time_millis_training: 750.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9632, kappa: 0.9096, kb_relative_information_score: 28338.5577, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3779, scimark_benchmark: 1272.7117, usercpu_time_millis: 680.377, usercpu_time_millis_testing: 31.901, usercpu_time_millis_training: 648.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9639, kappa: 0.9113, kb_relative_information_score: 28992.7041, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3739, scimark_benchmark: 1274.2699, usercpu_time_millis: 827.212, usercpu_time_millis_testing: 17.852, usercpu_time_millis_training: 809.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9651, kappa: 0.9142, kb_relative_information_score: 29117.5808, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1662, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3653, scimark_benchmark: 1269.4748, usercpu_time_millis: 363.654, usercpu_time_millis_testing: 11.531, usercpu_time_millis_training: 352.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9666, kappa: 0.9181, kb_relative_information_score: 29199.4003, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3609, scimark_benchmark: 1269.4028, usercpu_time_millis: 82.691, usercpu_time_millis_testing: 4.244, usercpu_time_millis_training: 78.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9662, kappa: 0.9169, kb_relative_information_score: 28574.8841, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9662, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.3679, scimark_benchmark: 1266.7809, usercpu_time_millis: 309.413, usercpu_time_millis_testing: 13.454, usercpu_time_millis_training: 295.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.96, kappa: 0.9016, kb_relative_information_score: 28451.4847, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.1848, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.393, scimark_benchmark: 1281.8736, usercpu_time_millis: 97.009, usercpu_time_millis_testing: 5.242, usercpu_time_millis_training: 91.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9657, kappa: 0.9159, kb_relative_information_score: 29798.1266, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9657, predictive_accuracy: 0.9658, prior_entropy: 0.863, recall: 0.9658, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3615, scimark_benchmark: 1280.8503, usercpu_time_millis: 401.655, usercpu_time_millis_testing: 5.229, usercpu_time_millis_training: 396.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9659, kappa: 0.9164, kb_relative_information_score: 29698.9827, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3614, scimark_benchmark: 1268.7465, usercpu_time_millis: 841.123, usercpu_time_millis_testing: 5.013, usercpu_time_millis_training: 836.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9616, kappa: 0.9057, kb_relative_information_score: 28457.62, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.1873, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3847, scimark_benchmark: 1280.1758, usercpu_time_millis: 964.288, usercpu_time_millis_testing: 38.075, usercpu_time_millis_training: 926.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9614, kappa: 0.9051, kb_relative_information_score: 28908.5286, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3854, scimark_benchmark: 1289.4186, usercpu_time_millis: 274.311, usercpu_time_millis_testing: 5.619, usercpu_time_millis_training: 268.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.9405, kappa: 0.8543, kb_relative_information_score: 28841.5963, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9406, predictive_accuracy: 0.9405, prior_entropy: 0.863, recall: 0.9405, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.5105, scimark_benchmark: 1282.3843, usercpu_time_millis: 56.549, usercpu_time_millis_testing: 3.81, usercpu_time_millis_training: 52.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9661, kappa: 0.9168, kb_relative_information_score: 29477.0451, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3586, scimark_benchmark: 1282.8609, usercpu_time_millis: 797.697, usercpu_time_millis_testing: 12.189, usercpu_time_millis_training: 785.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9582, kappa: 0.8971, kb_relative_information_score: 27580.4136, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9584, prior_entropy: 0.863, recall: 0.9584, relative_absolute_error: 0.2177, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.4032, scimark_benchmark: 1271.8724, usercpu_time_millis: 599.57, usercpu_time_millis_testing: 36.86, usercpu_time_millis_training: 562.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9619, kappa: 0.9063, kb_relative_information_score: 28597.3531, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.3818, scimark_benchmark: 1278.8929, usercpu_time_millis: 300.779, usercpu_time_millis_testing: 11.164, usercpu_time_millis_training: 289.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9643, kappa: 0.9123, kb_relative_information_score: 29146.7501, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1642, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3691, scimark_benchmark: 1283.0914, usercpu_time_millis: 321.953, usercpu_time_millis_testing: 9.228, usercpu_time_millis_training: 312.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9573, kappa: 0.8951, kb_relative_information_score: 28110.3962, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9573, predictive_accuracy: 0.9574, prior_entropy: 0.863, recall: 0.9574, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.4071, scimark_benchmark: 1266.483, usercpu_time_millis: 588.835, usercpu_time_millis_testing: 9.379, usercpu_time_millis_training: 579.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9227, kappa: 0.8056, kb_relative_information_score: 18538.6029, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9279, predictive_accuracy: 0.9254, prior_entropy: 0.863, recall: 0.9254, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.5975, scimark_benchmark: 1278.8952, usercpu_time_millis: 97.69, usercpu_time_millis_testing: 9.327, usercpu_time_millis_training: 88.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.964, kappa: 0.9117, kb_relative_information_score: 29505.537, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.3734, scimark_benchmark: 1264.398, usercpu_time_millis: 163.39, usercpu_time_millis_testing: 3.816, usercpu_time_millis_training: 159.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.961, kappa: 0.9041, kb_relative_information_score: 28556.1103, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.1828, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.3862, scimark_benchmark: 1269.6636, usercpu_time_millis: 694.93, usercpu_time_millis_testing: 22.243, usercpu_time_millis_training: 672.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 29746.0671, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1452, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3515, scimark_benchmark: 1271.1658, usercpu_time_millis: 586.093, usercpu_time_millis_testing: 7.261, usercpu_time_millis_training: 578.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9589, kappa: 0.8993, kb_relative_information_score: 29140.7248, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.1568, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3969, scimark_benchmark: 1267.6683, usercpu_time_millis: 153.416, usercpu_time_millis_testing: 4.267, usercpu_time_millis_training: 149.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9625, kappa: 0.9078, kb_relative_information_score: 28636.8616, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3803, scimark_benchmark: 1284.7396, usercpu_time_millis: 242.408, usercpu_time_millis_testing: 10.095, usercpu_time_millis_training: 232.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9571, kappa: 0.8939, kb_relative_information_score: 25653.1868, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9574, predictive_accuracy: 0.9575, prior_entropy: 0.863, recall: 0.9575, relative_absolute_error: 0.2901, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4319, scimark_benchmark: 1278.4559, usercpu_time_millis: 462.515, usercpu_time_millis_testing: 29.588, usercpu_time_millis_training: 432.927,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9584, kappa: 0.8977, kb_relative_information_score: 28034.5331, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9583, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1994, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.4005, scimark_benchmark: 1264.2845, usercpu_time_millis: 468.847, usercpu_time_millis_testing: 19.846, usercpu_time_millis_training: 449.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9635, kappa: 0.9103, kb_relative_information_score: 29373.294, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9634, predictive_accuracy: 0.9635, prior_entropy: 0.863, recall: 0.9635, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.3731, scimark_benchmark: 1265.282, usercpu_time_millis: 288.241, usercpu_time_millis_testing: 4.93, usercpu_time_millis_training: 283.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9598, kappa: 0.9012, kb_relative_information_score: 28568.0138, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9599, prior_entropy: 0.863, recall: 0.9599, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.179, root_relative_squared_error: 0.3962, scimark_benchmark: 1266.8482, usercpu_time_millis: 315.263, usercpu_time_millis_testing: 5.035, usercpu_time_millis_training: 310.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9673, kappa: 0.9198, kb_relative_information_score: 29756.5329, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1441, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.16, root_relative_squared_error: 0.3543, scimark_benchmark: 1263.9339, usercpu_time_millis: 518.956, usercpu_time_millis_testing: 6.311, usercpu_time_millis_training: 512.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9226, kappa: 0.8053, kb_relative_information_score: 18375.2656, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9282, predictive_accuracy: 0.9254, prior_entropy: 0.863, recall: 0.9254, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.6003, scimark_benchmark: 1284.8528, usercpu_time_millis: 762.478, usercpu_time_millis_testing: 58.327, usercpu_time_millis_training: 704.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9625, kappa: 0.9078, kb_relative_information_score: 28879.8113, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3796, scimark_benchmark: 1277.4618, usercpu_time_millis: 328.723, usercpu_time_millis_testing: 9.04, usercpu_time_millis_training: 319.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9661, kappa: 0.9169, kb_relative_information_score: 29549.8349, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9662, prior_entropy: 0.863, recall: 0.9662, relative_absolute_error: 0.1507, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3616, scimark_benchmark: 1284.0409, usercpu_time_millis: 760.044, usercpu_time_millis_testing: 8.098, usercpu_time_millis_training: 751.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.8478, kappa: 0.6203, kb_relative_information_score: 16773.5525, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8473, predictive_accuracy: 0.851, prior_entropy: 0.863, recall: 0.851, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.7322, scimark_benchmark: 1281.7086, usercpu_time_millis: 34.388, usercpu_time_millis_testing: 3.953, usercpu_time_millis_training: 30.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9593, kappa: 0.9001, kb_relative_information_score: 28638.3358, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.3911, scimark_benchmark: 1275.1984, usercpu_time_millis: 297.183, usercpu_time_millis_testing: 5.844, usercpu_time_millis_training: 291.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9233, kappa: 0.807, kb_relative_information_score: 18491.6189, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9286, predictive_accuracy: 0.9259, prior_entropy: 0.863, recall: 0.9259, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.27, root_relative_squared_error: 0.5977, scimark_benchmark: 1265.2188, usercpu_time_millis: 280.556, usercpu_time_millis_testing: 24.506, usercpu_time_millis_training: 256.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9684, kappa: 0.9225, kb_relative_information_score: 29799.9853, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.3471, scimark_benchmark: 1259.1631, usercpu_time_millis: 341.827, usercpu_time_millis_testing: 8.094, usercpu_time_millis_training: 333.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9285, kappa: 0.8206, kb_relative_information_score: 19178.5321, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9329, predictive_accuracy: 0.9308, prior_entropy: 0.863, recall: 0.9308, relative_absolute_error: 0.5022, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5816, scimark_benchmark: 1276.8434, usercpu_time_millis: 58.333, usercpu_time_millis_testing: 5.417, usercpu_time_millis_training: 52.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9615, kappa: 0.9054, kb_relative_information_score: 28938.2816, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9616, prior_entropy: 0.863, recall: 0.9616, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3835, scimark_benchmark: 1263.137, usercpu_time_millis: 140.141, usercpu_time_millis_testing: 4.396, usercpu_time_millis_training: 135.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9619, kappa: 0.9064, kb_relative_information_score: 28958.5352, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9619, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1684, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3834, scimark_benchmark: 1265.3332, usercpu_time_millis: 437.417, usercpu_time_millis_testing: 5.214, usercpu_time_millis_training: 432.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9591, kappa: 0.8996, kb_relative_information_score: 28377.319, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9591, predictive_accuracy: 0.9592, prior_entropy: 0.863, recall: 0.9592, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.3949, scimark_benchmark: 1273.1394, usercpu_time_millis: 743.635, usercpu_time_millis_testing: 17.888, usercpu_time_millis_training: 725.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9671, kappa: 0.9192, kb_relative_information_score: 29611.6469, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.967, predictive_accuracy: 0.9671, prior_entropy: 0.863, recall: 0.9671, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.358, scimark_benchmark: 1266.2155, usercpu_time_millis: 933.303, usercpu_time_millis_testing: 6.643, usercpu_time_millis_training: 926.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9621, kappa: 0.907, kb_relative_information_score: 29129.6474, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3826, scimark_benchmark: 1269.0972, usercpu_time_millis: 352.668, usercpu_time_millis_testing: 5.325, usercpu_time_millis_training: 347.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9642, kappa: 0.9121, kb_relative_information_score: 28726.3717, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1803, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3722, scimark_benchmark: 1275.9377, usercpu_time_millis: 655.871, usercpu_time_millis_testing: 26.346, usercpu_time_millis_training: 629.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9627, kappa: 0.9086, kb_relative_information_score: 29645.0123, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.1432, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.3738, scimark_benchmark: 1263.3149, usercpu_time_millis: 76.389, usercpu_time_millis_testing: 4.064, usercpu_time_millis_training: 72.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9666, kappa: 0.9179, kb_relative_information_score: 29564.902, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.357, scimark_benchmark: 1260.1685, usercpu_time_millis: 327.146, usercpu_time_millis_testing: 6.761, usercpu_time_millis_training: 320.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9606, kappa: 0.9033, kb_relative_information_score: 28752.7295, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3871, scimark_benchmark: 1275.7989, usercpu_time_millis: 765.286, usercpu_time_millis_testing: 9.527, usercpu_time_millis_training: 755.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.958, kappa: 0.8968, kb_relative_information_score: 28296.0165, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.958, predictive_accuracy: 0.9581, prior_entropy: 0.863, recall: 0.9581, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.4023, scimark_benchmark: 1264.9159, usercpu_time_millis: 362.1, usercpu_time_millis_testing: 6.597, usercpu_time_millis_training: 355.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9318, kappa: 0.8288, kb_relative_information_score: 19334.4615, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9359, predictive_accuracy: 0.9338, prior_entropy: 0.863, recall: 0.9338, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.5768, scimark_benchmark: 1263.5235, usercpu_time_millis: 275.894, usercpu_time_millis_testing: 21.647, usercpu_time_millis_training: 254.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9578, kappa: 0.896, kb_relative_information_score: 27320.0121, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9578, predictive_accuracy: 0.958, prior_entropy: 0.863, recall: 0.958, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.407, scimark_benchmark: 1281.0304, usercpu_time_millis: 520.366, usercpu_time_millis_testing: 32.169, usercpu_time_millis_training: 488.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9568, kappa: 0.8939, kb_relative_information_score: 28100.7048, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9567, predictive_accuracy: 0.9569, prior_entropy: 0.863, recall: 0.9569, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.4021, scimark_benchmark: 1271.7607, usercpu_time_millis: 792.837, usercpu_time_millis_testing: 27.433, usercpu_time_millis_training: 765.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9597, kappa: 0.9009, kb_relative_information_score: 28226.5459, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.1941, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3933, scimark_benchmark: 1276.2672, usercpu_time_millis: 444.901, usercpu_time_millis_testing: 16.785, usercpu_time_millis_training: 428.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9622, kappa: 0.9072, kb_relative_information_score: 28870.8861, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3835, scimark_benchmark: 1271.5381, usercpu_time_millis: 569.852, usercpu_time_millis_testing: 7.876, usercpu_time_millis_training: 561.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9645, kappa: 0.9127, kb_relative_information_score: 28889.8236, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3713, scimark_benchmark: 1279.0318, usercpu_time_millis: 410.404, usercpu_time_millis_testing: 17.066, usercpu_time_millis_training: 393.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9686, kappa: 0.9231, kb_relative_information_score: 29873.6759, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9686, predictive_accuracy: 0.9687, prior_entropy: 0.863, recall: 0.9687, relative_absolute_error: 0.1418, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.344, scimark_benchmark: 1257.6915, usercpu_time_millis: 591.088, usercpu_time_millis_testing: 10.04, usercpu_time_millis_training: 581.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9676, kappa: 0.9206, kb_relative_information_score: 29759.6676, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9676, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.351, scimark_benchmark: 1278.898, usercpu_time_millis: 904.591, usercpu_time_millis_testing: 10.681, usercpu_time_millis_training: 893.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9663, kappa: 0.9173, kb_relative_information_score: 29609.3579, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.3596, scimark_benchmark: 1280.8125, usercpu_time_millis: 774.352, usercpu_time_millis_testing: 9.871, usercpu_time_millis_training: 764.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9633, kappa: 0.9099, kb_relative_information_score: 28946.2635, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.3745, scimark_benchmark: 1258.7996, usercpu_time_millis: 912.238, usercpu_time_millis_testing: 21.599, usercpu_time_millis_training: 890.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.966, kappa: 0.9165, kb_relative_information_score: 29338.0312, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3642, scimark_benchmark: 1265.2031, usercpu_time_millis: 482.614, usercpu_time_millis_testing: 7.294, usercpu_time_millis_training: 475.32,

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