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: 0.9625, kappa: 0.9078, kb_relative_information_score: 28749.4717, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3796, scimark_benchmark: 1259.6831, usercpu_time_millis: 411.148, usercpu_time_millis_testing: 14.351, usercpu_time_millis_training: 396.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9583, kappa: 0.8975, kb_relative_information_score: 28287.648, mean_absolute_error: 0.0773, 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: 0.1895, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.4006, scimark_benchmark: 1235.9962, usercpu_time_millis: 175.655, usercpu_time_millis_testing: 5.524, usercpu_time_millis_training: 170.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9324, kappa: 0.8306, kb_relative_information_score: 19469.2018, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9364, predictive_accuracy: 0.9344, prior_entropy: 0.863, recall: 0.9344, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.5738, scimark_benchmark: 1250.5113, usercpu_time_millis: 576.535, usercpu_time_millis_testing: 36.424, usercpu_time_millis_training: 540.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9572, kappa: 0.8947, kb_relative_information_score: 28083.7343, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9571, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.1963, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.4067, scimark_benchmark: 1253.3703, usercpu_time_millis: 774.23, usercpu_time_millis_testing: 13.431, usercpu_time_millis_training: 760.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9652, kappa: 0.9145, kb_relative_information_score: 29036.5468, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9653, prior_entropy: 0.863, recall: 0.9653, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.3685, scimark_benchmark: 1252.9803, usercpu_time_millis: 218.618, usercpu_time_millis_testing: 8.218, usercpu_time_millis_training: 210.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9667, kappa: 0.9181, kb_relative_information_score: 29496.6524, mean_absolute_error: 0.0628, 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: 0.1538, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3565, scimark_benchmark: 1230.615, usercpu_time_millis: 211.816, usercpu_time_millis_testing: 5.755, usercpu_time_millis_training: 206.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9662, kappa: 0.917, kb_relative_information_score: 29345.9503, mean_absolute_error: 0.065, 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: 0.1592, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3578, scimark_benchmark: 1228.2594, usercpu_time_millis: 694.141, usercpu_time_millis_testing: 14.956, usercpu_time_millis_training: 679.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9665, kappa: 0.9178, kb_relative_information_score: 29504.9364, mean_absolute_error: 0.0624, 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: 0.153, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.3585, scimark_benchmark: 1246.3972, usercpu_time_millis: 377.985, usercpu_time_millis_testing: 6.651, usercpu_time_millis_training: 371.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9655, kappa: 0.9151, kb_relative_information_score: 28164.5918, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.3734, scimark_benchmark: 1233.2515, usercpu_time_millis: 779.114, usercpu_time_millis_testing: 34.976, usercpu_time_millis_training: 744.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9584, kappa: 0.8974, kb_relative_information_score: 27228.86, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9586, prior_entropy: 0.863, recall: 0.9586, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.408, scimark_benchmark: 1247.2288, usercpu_time_millis: 137.902, usercpu_time_millis_testing: 7.806, usercpu_time_millis_training: 130.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9609, kappa: 0.9041, kb_relative_information_score: 29440.4267, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.3888, scimark_benchmark: 1248.527, usercpu_time_millis: 193.273, usercpu_time_millis_testing: 3.687, usercpu_time_millis_training: 189.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9676, kappa: 0.9204, kb_relative_information_score: 29708.2369, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.147, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.3507, scimark_benchmark: 1245.5418, usercpu_time_millis: 490.745, usercpu_time_millis_testing: 6.786, usercpu_time_millis_training: 483.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9555, kappa: 0.8904, kb_relative_information_score: 27242.7934, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9554, predictive_accuracy: 0.9557, prior_entropy: 0.863, recall: 0.9557, relative_absolute_error: 0.2271, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.4161, scimark_benchmark: 1239.3152, usercpu_time_millis: 95.89, usercpu_time_millis_testing: 6.135, usercpu_time_millis_training: 89.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9339, kappa: 0.8343, kb_relative_information_score: 19617.2815, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9376, predictive_accuracy: 0.9358, prior_entropy: 0.863, recall: 0.9358, relative_absolute_error: 0.4906, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.5703, scimark_benchmark: 1240.4963, usercpu_time_millis: 410.123, usercpu_time_millis_testing: 32.626, usercpu_time_millis_training: 377.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9601, kappa: 0.9019, kb_relative_information_score: 28590.9501, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3903, scimark_benchmark: 1263.7737, usercpu_time_millis: 615.523, usercpu_time_millis_testing: 9.716, usercpu_time_millis_training: 605.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9674, kappa: 0.9201, kb_relative_information_score: 29787.14, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3529, scimark_benchmark: 1250.011, usercpu_time_millis: 902.246, usercpu_time_millis_testing: 5.814, usercpu_time_millis_training: 896.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9626, kappa: 0.9081, kb_relative_information_score: 28735.3876, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1774, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3799, scimark_benchmark: 1260.4224, usercpu_time_millis: 246.713, usercpu_time_millis_testing: 8.309, usercpu_time_millis_training: 238.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9663, kappa: 0.9173, kb_relative_information_score: 29550.4517, mean_absolute_error: 0.0619, 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: 0.1517, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.3563, scimark_benchmark: 1251.2966, usercpu_time_millis: 562.755, usercpu_time_millis_testing: 9.721, usercpu_time_millis_training: 553.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9686, kappa: 0.923, kb_relative_information_score: 29894.9109, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9686, predictive_accuracy: 0.9686, prior_entropy: 0.863, recall: 0.9686, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3449, scimark_benchmark: 1249.5998, usercpu_time_millis: 413.728, usercpu_time_millis_testing: 7.811, usercpu_time_millis_training: 405.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9597, kappa: 0.9011, kb_relative_information_score: 28459.7843, mean_absolute_error: 0.0753, 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: 0.1845, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3959, scimark_benchmark: 1267.5697, usercpu_time_millis: 647.083, usercpu_time_millis_testing: 8.438, usercpu_time_millis_training: 638.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9656, kappa: 0.9156, kb_relative_information_score: 29558.3348, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.365, scimark_benchmark: 1256.2913, usercpu_time_millis: 681.503, usercpu_time_millis_testing: 4.803, usercpu_time_millis_training: 676.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9641, kappa: 0.9119, kb_relative_information_score: 28948.6013, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9642, prior_entropy: 0.863, recall: 0.9642, relative_absolute_error: 0.1708, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.3735, scimark_benchmark: 1245.1508, usercpu_time_millis: 882.236, usercpu_time_millis_testing: 19.602, usercpu_time_millis_training: 862.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9626, kappa: 0.9081, kb_relative_information_score: 29046.6975, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.166, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.3773, scimark_benchmark: 1264.2858, usercpu_time_millis: 190.555, usercpu_time_millis_testing: 5.419, usercpu_time_millis_training: 185.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9581, kappa: 0.8972, kb_relative_information_score: 28279.8623, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9581, predictive_accuracy: 0.9582, prior_entropy: 0.863, recall: 0.9582, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.398, scimark_benchmark: 1270.9353, usercpu_time_millis: 351.707, usercpu_time_millis_testing: 10.474, usercpu_time_millis_training: 341.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9278, kappa: 0.8187, kb_relative_information_score: 18974.9188, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9325, predictive_accuracy: 0.9302, prior_entropy: 0.863, recall: 0.9302, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5858, scimark_benchmark: 1247.2502, usercpu_time_millis: 405.324, usercpu_time_millis_testing: 30.306, usercpu_time_millis_training: 375.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9633, kappa: 0.9098, kb_relative_information_score: 28950.5215, mean_absolute_error: 0.0694, 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: 0.1701, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.3759, scimark_benchmark: 1254.8226, usercpu_time_millis: 830.431, usercpu_time_millis_testing: 15.337, usercpu_time_millis_training: 815.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9632, kappa: 0.9097, kb_relative_information_score: 29567.7569, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.1464, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.3751, scimark_benchmark: 1265.4026, usercpu_time_millis: 208.075, usercpu_time_millis_testing: 4.714, usercpu_time_millis_training: 203.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9605, kappa: 0.9029, kb_relative_information_score: 28633.6853, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.389, scimark_benchmark: 1271.5664, usercpu_time_millis: 589.651, usercpu_time_millis_testing: 9.931, usercpu_time_millis_training: 579.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9659, kappa: 0.9164, kb_relative_information_score: 29552.0311, mean_absolute_error: 0.0615, 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: 0.1506, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.36, scimark_benchmark: 1267.2086, usercpu_time_millis: 674.796, usercpu_time_millis_testing: 6.813, usercpu_time_millis_training: 667.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9599, kappa: 0.9015, kb_relative_information_score: 28068.802, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.9601, prior_entropy: 0.863, recall: 0.9601, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3951, scimark_benchmark: 1273.0367, usercpu_time_millis: 216.59, usercpu_time_millis_testing: 12.385, usercpu_time_millis_training: 204.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9681, kappa: 0.9217, kb_relative_information_score: 29897.183, mean_absolute_error: 0.0571, 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: 0.1398, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3496, scimark_benchmark: 1273.9089, usercpu_time_millis: 337.131, usercpu_time_millis_testing: 5.427, usercpu_time_millis_training: 331.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9678, kappa: 0.9209, kb_relative_information_score: 29385.5184, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9678, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.3537, scimark_benchmark: 1262.9954, usercpu_time_millis: 366.361, usercpu_time_millis_testing: 10.978, usercpu_time_millis_training: 355.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9666, kappa: 0.918, kb_relative_information_score: 29158.7383, mean_absolute_error: 0.068, 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: 0.1666, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.359, scimark_benchmark: 1263.5769, usercpu_time_millis: 586.369, usercpu_time_millis_testing: 20.233, usercpu_time_millis_training: 566.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9604, kappa: 0.9025, kb_relative_information_score: 28039.5764, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.392, scimark_benchmark: 1259.1436, usercpu_time_millis: 409.281, usercpu_time_millis_testing: 22.338, usercpu_time_millis_training: 386.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.957, kappa: 0.8935, kb_relative_information_score: 25622.4997, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9574, predictive_accuracy: 0.9574, prior_entropy: 0.863, recall: 0.9574, relative_absolute_error: 0.2909, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.4329, scimark_benchmark: 1274.497, usercpu_time_millis: 881.903, usercpu_time_millis_testing: 57.403, usercpu_time_millis_training: 824.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9601, kappa: 0.9021, kb_relative_information_score: 28545.6299, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3915, scimark_benchmark: 1247.7919, usercpu_time_millis: 653.977, usercpu_time_millis_testing: 13.019, usercpu_time_millis_training: 640.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.928, kappa: 0.8193, kb_relative_information_score: 18965.7299, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9325, predictive_accuracy: 0.9303, prior_entropy: 0.863, recall: 0.9303, relative_absolute_error: 0.5094, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.5863, scimark_benchmark: 1260.6244, usercpu_time_millis: 790.463, usercpu_time_millis_testing: 55.549, usercpu_time_millis_training: 734.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.967, kappa: 0.9192, kb_relative_information_score: 29922.327, mean_absolute_error: 0.0558, 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: 0.1368, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3592, scimark_benchmark: 1254.3554, usercpu_time_millis: 237.129, usercpu_time_millis_testing: 3.903, usercpu_time_millis_training: 233.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9577, kappa: 0.8954, kb_relative_information_score: 25735.8501, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9581, predictive_accuracy: 0.9581, prior_entropy: 0.863, recall: 0.9581, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.4298, scimark_benchmark: 1259.4995, usercpu_time_millis: 649.604, usercpu_time_millis_testing: 42.801, usercpu_time_millis_training: 606.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9668, kappa: 0.9186, kb_relative_information_score: 29667.3632, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.9668, prior_entropy: 0.863, recall: 0.9668, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3568, scimark_benchmark: 1253.6733, usercpu_time_millis: 965.609, usercpu_time_millis_testing: 7.758, usercpu_time_millis_training: 957.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9611, kappa: 0.9045, kb_relative_information_score: 28776.2366, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9612, prior_entropy: 0.863, recall: 0.9612, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.3862, scimark_benchmark: 1261.4819, usercpu_time_millis: 110.77, usercpu_time_millis_testing: 4.872, usercpu_time_millis_training: 105.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9563, kappa: 0.893, kb_relative_information_score: 29016.1467, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.4022, scimark_benchmark: 1271.1212, usercpu_time_millis: 43.352, usercpu_time_millis_testing: 2.987, usercpu_time_millis_training: 40.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9505, kappa: 0.8794, kb_relative_information_score: 29187.3583, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9511, predictive_accuracy: 0.9502, prior_entropy: 0.863, recall: 0.9502, relative_absolute_error: 0.1474, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.4254, scimark_benchmark: 1263.8726, usercpu_time_millis: 52.91, usercpu_time_millis_testing: 3.638, usercpu_time_millis_training: 49.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9684, kappa: 0.9226, kb_relative_information_score: 29889.1467, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9684, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.141, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.345, scimark_benchmark: 1261.9615, usercpu_time_millis: 945.131, usercpu_time_millis_testing: 10.773, usercpu_time_millis_training: 934.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9681, kappa: 0.9217, kb_relative_information_score: 29841.9537, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.3444, scimark_benchmark: 1270.2779, usercpu_time_millis: 541.349, usercpu_time_millis_testing: 9.43, usercpu_time_millis_training: 531.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9631, kappa: 0.9095, kb_relative_information_score: 29051.9613, mean_absolute_error: 0.068, 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: 0.1667, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.3757, scimark_benchmark: 1271.6966, usercpu_time_millis: 863.937, usercpu_time_millis_testing: 9.716, usercpu_time_millis_training: 854.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9639, kappa: 0.9113, kb_relative_information_score: 29550.1088, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.1479, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3724, scimark_benchmark: 1262.5367, usercpu_time_millis: 366.126, usercpu_time_millis_testing: 5.003, usercpu_time_millis_training: 361.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9626, kappa: 0.9082, kb_relative_information_score: 28423.4688, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.1904, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3801, scimark_benchmark: 1269.2439, usercpu_time_millis: 739.499, usercpu_time_millis_testing: 34.876, usercpu_time_millis_training: 704.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9653, kappa: 0.9149, kb_relative_information_score: 29221.9567, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1626, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3642, scimark_benchmark: 1259.1866, usercpu_time_millis: 832.408, usercpu_time_millis_testing: 15.666, usercpu_time_millis_training: 816.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9596, kappa: 0.9006, kb_relative_information_score: 27808.2495, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9596, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.2105, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3967, scimark_benchmark: 1250.8155, usercpu_time_millis: 415.403, usercpu_time_millis_testing: 23.385, usercpu_time_millis_training: 392.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9649, kappa: 0.9138, kb_relative_information_score: 29039.3507, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.3673, scimark_benchmark: 1272.0666, usercpu_time_millis: 524.888, usercpu_time_millis_testing: 13.329, usercpu_time_millis_training: 511.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9583, kappa: 0.8977, kb_relative_information_score: 28230.8343, mean_absolute_error: 0.0785, 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: 0.1923, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.3981, scimark_benchmark: 1239.3063, usercpu_time_millis: 704.49, usercpu_time_millis_testing: 26.368, usercpu_time_millis_training: 678.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9662, kappa: 0.9171, kb_relative_information_score: 29504.0583, mean_absolute_error: 0.0623, 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: 0.1526, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3616, scimark_benchmark: 1262.2019, usercpu_time_millis: 672.178, usercpu_time_millis_testing: 7.332, usercpu_time_millis_training: 664.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9581, kappa: 0.897, kb_relative_information_score: 28310.3876, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.958, predictive_accuracy: 0.9582, prior_entropy: 0.863, recall: 0.9582, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4024, scimark_benchmark: 1260.1388, usercpu_time_millis: 504.297, usercpu_time_millis_testing: 7.851, usercpu_time_millis_training: 496.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9646, kappa: 0.9132, kb_relative_information_score: 29297.459, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1579, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3702, scimark_benchmark: 1255.1884, usercpu_time_millis: 200.022, usercpu_time_millis_testing: 5.362, usercpu_time_millis_training: 194.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9675, kappa: 0.9202, kb_relative_information_score: 29861.5931, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.3552, scimark_benchmark: 1252.3843, usercpu_time_millis: 702.417, usercpu_time_millis_testing: 5.881, usercpu_time_millis_training: 696.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9563, kappa: 0.8926, kb_relative_information_score: 28044.6758, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.4089, scimark_benchmark: 1270.2592, usercpu_time_millis: 810.305, usercpu_time_millis_testing: 11.846, usercpu_time_millis_training: 798.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9562, kappa: 0.8924, kb_relative_information_score: 28392.0857, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9561, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1832, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.4091, scimark_benchmark: 1272.1916, usercpu_time_millis: 102.516, usercpu_time_millis_testing: 3.211, usercpu_time_millis_training: 99.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9556, kappa: 0.89, kb_relative_information_score: 25301.5973, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 0.863, recall: 0.956, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4411, scimark_benchmark: 1272.4381, usercpu_time_millis: 810.151, usercpu_time_millis_testing: 55.209, usercpu_time_millis_training: 754.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.959, kappa: 0.8994, kb_relative_information_score: 28680.952, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.176, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3948, scimark_benchmark: 1264.9195, usercpu_time_millis: 189.594, usercpu_time_millis_testing: 4.501, usercpu_time_millis_training: 185.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9635, kappa: 0.9104, kb_relative_information_score: 29145.1406, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9635, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.3735, scimark_benchmark: 1249.2021, usercpu_time_millis: 416.898, usercpu_time_millis_testing: 6.75, usercpu_time_millis_training: 410.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9571, kappa: 0.8939, kb_relative_information_score: 25621.5065, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9575, prior_entropy: 0.863, recall: 0.9575, relative_absolute_error: 0.2911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.4324, scimark_benchmark: 1253.2573, usercpu_time_millis: 474.025, usercpu_time_millis_testing: 32.613, usercpu_time_millis_training: 441.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9684, kappa: 0.9224, kb_relative_information_score: 29713.1643, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.3517, scimark_benchmark: 1267.1709, usercpu_time_millis: 641.44, usercpu_time_millis_testing: 8.621, usercpu_time_millis_training: 632.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9601, kappa: 0.9018, kb_relative_information_score: 28064.9914, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3945, scimark_benchmark: 1254.5466, usercpu_time_millis: 749.705, usercpu_time_millis_testing: 37.97, usercpu_time_millis_training: 711.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.963, kappa: 0.9092, kb_relative_information_score: 28824.3174, mean_absolute_error: 0.0712, 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: 0.1744, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3791, scimark_benchmark: 1249.1932, usercpu_time_millis: 944.987, usercpu_time_millis_testing: 19.843, usercpu_time_millis_training: 925.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1253.6287, usercpu_time_millis: 7.798, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 7.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1248.6251, usercpu_time_millis: 7.056, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 6.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8976, kappa: 0.746, kb_relative_information_score: 20437.8921, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8975, predictive_accuracy: 0.8991, prior_entropy: 0.863, recall: 0.8991, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.6639, scimark_benchmark: 1256.6101, usercpu_time_millis: 8.844, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 8.409,

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