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: 0.999, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1218.9489, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.2606, scimark_benchmark: 1699.3635, usercpu_time_millis: 0.491, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1266.4922, mean_absolute_error: 0.0454, 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: 0.092, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.2106, scimark_benchmark: 1866.9963, usercpu_time_millis: 1.545, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 1.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9193, kappa: 0.8362, kb_relative_information_score: 804.2018, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9218, predictive_accuracy: 0.9198, prior_entropy: 0.9912, recall: 0.9198, relative_absolute_error: 0.4696, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.5577, scimark_benchmark: 1743.3016, usercpu_time_millis: 2.328, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 2.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.1189, mean_absolute_error: 0.4938, 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: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1741.9506, usercpu_time_millis: 0.667, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 0.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9232, kappa: 0.8442, kb_relative_information_score: 1028.9601, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.924, predictive_accuracy: 0.9235, prior_entropy: 0.9912, recall: 0.9235, relative_absolute_error: 0.2724, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.4855, scimark_benchmark: 1749.0608, usercpu_time_millis: 4.687, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 4.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1259.5169, mean_absolute_error: 0.048, 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: 0.0973, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.2239, scimark_benchmark: 1728.8106, usercpu_time_millis: 3.478, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 3.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9585, kappa: 0.9159, kb_relative_information_score: 1190.4498, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9912, recall: 0.9585, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.3589, scimark_benchmark: 1785.2463, usercpu_time_millis: 12.365, usercpu_time_millis_testing: 0.699, usercpu_time_millis_training: 11.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1297.1005, mean_absolute_error: 0.032, 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: 0.0648, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.1815, scimark_benchmark: 1746.1701, usercpu_time_millis: 0.914, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0693, 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: 1873.4805, usercpu_time_millis: 1.129, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.8863, kappa: 0.7692, kb_relative_information_score: 511.1781, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8937, predictive_accuracy: 0.8878, prior_entropy: 0.9912, recall: 0.8878, relative_absolute_error: 0.6858, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7282, scimark_benchmark: 1728.2536, usercpu_time_millis: 1.253, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 1.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8509, kappa: 0.6995, kb_relative_information_score: 734.3676, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8528, predictive_accuracy: 0.8506, prior_entropy: 0.9912, recall: 0.8506, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.6893, scimark_benchmark: 1745.133, usercpu_time_millis: 0.456, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1139.7563, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.155, root_relative_squared_error: 0.312, scimark_benchmark: 1725.3441, usercpu_time_millis: 1.854, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 1.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: 0.134, mean_absolute_error: 0.4938, 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: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1868.1908, usercpu_time_millis: 0.567, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9305, kappa: 0.8589, kb_relative_information_score: 1053.549, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9316, predictive_accuracy: 0.9308, prior_entropy: 0.9912, recall: 0.9308, relative_absolute_error: 0.2586, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.444, scimark_benchmark: 1732.7855, usercpu_time_millis: 0.849, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1189.4492, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.1624, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.2625, scimark_benchmark: 1923.8713, usercpu_time_millis: 3.746, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 3.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 740.839, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7092, scimark_benchmark: 1919.8987, usercpu_time_millis: 2.933, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 2.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0128, 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: 1872.9496, usercpu_time_millis: 0.548, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9137, kappa: 0.825, kb_relative_information_score: 962.6322, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9144, predictive_accuracy: 0.914, prior_entropy: 0.9912, recall: 0.914, relative_absolute_error: 0.3267, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.531, scimark_benchmark: 1867.4545, usercpu_time_millis: 1.204, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 1.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9114, kappa: 0.82, kb_relative_information_score: 921.3998, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9131, predictive_accuracy: 0.9118, prior_entropy: 0.9912, recall: 0.9118, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.5307, scimark_benchmark: 1923.3866, usercpu_time_millis: 3.715, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 3.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1269.7334, mean_absolute_error: 0.0437, 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: 0.0886, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.2126, scimark_benchmark: 1726.5408, usercpu_time_millis: 0.708, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1292.8303, mean_absolute_error: 0.0336, 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: 0.068, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.1908, scimark_benchmark: 1927.0702, usercpu_time_millis: 4.979, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 4.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1203.9382, mean_absolute_error: 0.0723, 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: 0.1465, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.2704, scimark_benchmark: 1929.4935, usercpu_time_millis: 3.863, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 3.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9511, kappa: 0.9009, kb_relative_information_score: 1094.4831, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9512, predictive_accuracy: 0.9512, prior_entropy: 0.9912, recall: 0.9512, relative_absolute_error: 0.2279, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4014, scimark_benchmark: 1786.0872, usercpu_time_millis: 3.982, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 3.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9156, kappa: 0.8286, kb_relative_information_score: 917.0502, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9187, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5096, scimark_benchmark: 1760.61, usercpu_time_millis: 3.743, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 3.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9803, kappa: 0.9602, kb_relative_information_score: 1084.7437, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9803, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.2492, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.3538, scimark_benchmark: 1923.6623, usercpu_time_millis: 4.566, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 4.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 662.422, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6791, scimark_benchmark: 1915.4014, usercpu_time_millis: 1.787, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 1.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9606, kappa: 0.9203, kb_relative_information_score: 1047.2214, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9606, predictive_accuracy: 0.9606, prior_entropy: 0.9912, recall: 0.9606, relative_absolute_error: 0.2717, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.4164, scimark_benchmark: 1785.9315, usercpu_time_millis: 5.488, usercpu_time_millis_testing: 0.658, usercpu_time_millis_training: 4.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1321.3012, mean_absolute_error: 0.0203, 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: 0.0412, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.1742, scimark_benchmark: 1761.5196, usercpu_time_millis: 4.988, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 4.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: -0.0186, 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: 1784.7644, usercpu_time_millis: 1.756, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 1.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3966, kb_relative_information_score: 0.0838, mean_absolute_error: 0.4938, 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: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1920.8783, usercpu_time_millis: 1.967, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 1.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9781, kappa: 0.9558, kb_relative_information_score: 1247.2936, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9782, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.2768, scimark_benchmark: 1781.7836, usercpu_time_millis: 0.506, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1279.9979, mean_absolute_error: 0.0384, 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: 0.0777, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.11, root_relative_squared_error: 0.2215, scimark_benchmark: 1758.6712, usercpu_time_millis: 2.127, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0225, 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: 1763.8576, usercpu_time_millis: 1.456, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 1.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1293.7845, mean_absolute_error: 0.0318, 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: 0.0644, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.2195, scimark_benchmark: 1909.7223, usercpu_time_millis: 0.272, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9152, kappa: 0.8281, kb_relative_information_score: 995.2721, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9157, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.5308, scimark_benchmark: 1760.5372, usercpu_time_millis: 1.029, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.972,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1292.8326, mean_absolute_error: 0.0329, 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: 0.0665, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1042, root_relative_squared_error: 0.2097, scimark_benchmark: 1772.0269, usercpu_time_millis: 10.105, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 9.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1258.3983, mean_absolute_error: 0.0471, 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: 0.0953, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.2462, scimark_benchmark: 1731.2584, usercpu_time_millis: 2.247, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 2.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8751, kappa: 0.7466, kb_relative_information_score: 546.5077, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8754, predictive_accuracy: 0.8754, prior_entropy: 0.9912, recall: 0.8754, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 1815.4065, usercpu_time_millis: 2.213, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 1.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9174, kappa: 0.8324, kb_relative_information_score: 1006.5293, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.918, predictive_accuracy: 0.9176, prior_entropy: 0.9912, recall: 0.9176, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5136, scimark_benchmark: 1747.052, usercpu_time_millis: 7.379, usercpu_time_millis_testing: 0.596, usercpu_time_millis_training: 6.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1315.5431, mean_absolute_error: 0.0231, 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: 0.0468, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.1746, scimark_benchmark: 1723.0445, usercpu_time_millis: 9.338, usercpu_time_millis_testing: 0.864, usercpu_time_millis_training: 8.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9394, kappa: 0.877, kb_relative_information_score: 895.4005, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9399, predictive_accuracy: 0.9395, prior_entropy: 0.9912, recall: 0.9395, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.4948, scimark_benchmark: 1815.6475, usercpu_time_millis: 2.504, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 2.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9262, kappa: 0.8502, kb_relative_information_score: 1054.7774, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9268, predictive_accuracy: 0.9264, prior_entropy: 0.9912, recall: 0.9264, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.4611, scimark_benchmark: 1819.7344, usercpu_time_millis: 7.282, usercpu_time_millis_testing: 0.672, usercpu_time_millis_training: 6.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9716, kappa: 0.9426, kb_relative_information_score: 1078.1171, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9719, predictive_accuracy: 0.9716, prior_entropy: 0.9912, recall: 0.9716, relative_absolute_error: 0.2545, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3606, scimark_benchmark: 1794.0575, usercpu_time_millis: 3.892, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 3.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1249.2552, mean_absolute_error: 0.0532, 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: 0.1078, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.2247, scimark_benchmark: 1696.2446, usercpu_time_millis: 9.696, usercpu_time_millis_testing: 1.044, usercpu_time_millis_training: 8.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9803, kappa: 0.9601, kb_relative_information_score: 1222.3257, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9803, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.2832, scimark_benchmark: 1786.4663, usercpu_time_millis: 5.795, usercpu_time_millis_testing: 0.494, usercpu_time_millis_training: 5.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1228.8527, mean_absolute_error: 0.0634, 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: 0.1284, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.112, root_relative_squared_error: 0.2254, scimark_benchmark: 1724.8424, usercpu_time_millis: 8.707, usercpu_time_millis_testing: 1.099, usercpu_time_millis_training: 7.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1221.5273, mean_absolute_error: 0.0665, 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: 0.1347, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.116, root_relative_squared_error: 0.2334, scimark_benchmark: 1726.4468, usercpu_time_millis: 9.426, usercpu_time_millis_testing: 1.277, usercpu_time_millis_training: 8.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1216.6073, mean_absolute_error: 0.0686, 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: 0.1389, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.2378, scimark_benchmark: 1732.1868, usercpu_time_millis: 3.373, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 2.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1207.171, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.2769, scimark_benchmark: 1793.5781, usercpu_time_millis: 0.613, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1220.555, mean_absolute_error: 0.0655, 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: 0.1325, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.2525, scimark_benchmark: 1708.9135, usercpu_time_millis: 3.874, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 3.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9312, kappa: 0.8604, kb_relative_information_score: 1041.2807, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9324, predictive_accuracy: 0.9315, prior_entropy: 0.9912, recall: 0.9315, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.4531, scimark_benchmark: 1806.2729, usercpu_time_millis: 2.723, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 2.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1310.0668, mean_absolute_error: 0.0255, 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: 0.0517, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.09, root_relative_squared_error: 0.1811, scimark_benchmark: 1737.0414, usercpu_time_millis: 1.812, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 1.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0292, 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: 1727.1229, usercpu_time_millis: 2.426, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 1.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: 0.0204, 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: 1817.9868, usercpu_time_millis: 0.661, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 0.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9592, kappa: 0.9174, kb_relative_information_score: 1229.5879, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9592, predictive_accuracy: 0.9592, prior_entropy: 0.9912, recall: 0.9592, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3346, scimark_benchmark: 1789.3515, usercpu_time_millis: 12.133, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 11.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1293.4796, mean_absolute_error: 0.0339, 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: 0.0687, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.1796, scimark_benchmark: 1790.6311, usercpu_time_millis: 3.671, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 3.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.943, kappa: 0.8844, kb_relative_information_score: 1040.3696, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9435, predictive_accuracy: 0.9431, prior_entropy: 0.9912, recall: 0.9431, relative_absolute_error: 0.2701, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4498, scimark_benchmark: 1737.036, usercpu_time_millis: 2.545, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 2.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0112, 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: 1794.0575, usercpu_time_millis: 1.77, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 1.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1294.2229, mean_absolute_error: 0.0322, 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: 0.0652, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.2101, scimark_benchmark: 1740.3924, usercpu_time_millis: 1.821, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 1.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9818, kappa: 0.9631, kb_relative_information_score: 1317.7098, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.04, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.2489, scimark_benchmark: 1726.2041, usercpu_time_millis: 12.665, usercpu_time_millis_testing: 1.058, usercpu_time_millis_training: 11.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1255.3175, mean_absolute_error: 0.0516, 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: 0.1045, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.101, root_relative_squared_error: 0.2033, scimark_benchmark: 1753.1524, usercpu_time_millis: 10.044, usercpu_time_millis_testing: 1.24, usercpu_time_millis_training: 8.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1139.597, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.2043, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.153, root_relative_squared_error: 0.3079, scimark_benchmark: 1773.6527, usercpu_time_millis: 0.877, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.8901, kappa: 0.7769, kb_relative_information_score: 590.8133, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8967, predictive_accuracy: 0.8914, prior_entropy: 0.9912, recall: 0.8914, relative_absolute_error: 0.6301, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.6806, scimark_benchmark: 1740.2225, usercpu_time_millis: 1.137, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 0.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1316.4183, mean_absolute_error: 0.021, 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: 0.0424, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.2246, scimark_benchmark: 1754.6103, usercpu_time_millis: 7.325, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 6.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8864, kappa: 0.7703, kb_relative_information_score: 844.7766, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8867, predictive_accuracy: 0.8863, prior_entropy: 0.9912, recall: 0.8863, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.5678, scimark_benchmark: 1737.3923, usercpu_time_millis: 4.6, usercpu_time_millis_testing: 0.764, usercpu_time_millis_training: 3.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9174, kappa: 0.8323, kb_relative_information_score: 1014.701, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9182, predictive_accuracy: 0.9176, prior_entropy: 0.9912, recall: 0.9176, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.5037, scimark_benchmark: 1821.2333, usercpu_time_millis: 0.689, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1292.45, mean_absolute_error: 0.0343, 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: 0.0694, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.1817, scimark_benchmark: 2003.7079, usercpu_time_millis: 8.1, usercpu_time_millis_testing: 0.8, usercpu_time_millis_training: 7.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1220.7681, mean_absolute_error: 0.0644, 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: 0.1304, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.2638, scimark_benchmark: 1739.7117, usercpu_time_millis: 0.903, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.846,

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