OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7689, kappa: 0.5336, kb_relative_information_score: 1339.4358, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.77, predictive_accuracy: 0.7699, prior_entropy: 0.9948, recall: 0.7699, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.811, scimark_benchmark: 1811.3287, usercpu_time_millis: 3422.914, usercpu_time_millis_testing: 2.183, usercpu_time_millis_training: 3420.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -0.1406, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 2117.2496, usercpu_time_millis: 9.219, usercpu_time_millis_testing: 1.395, usercpu_time_millis_training: 7.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.7367, kappa: 0.4705, kb_relative_information_score: 742.9342, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7375, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8846, scimark_benchmark: 1836.0071, usercpu_time_millis: 6.315, usercpu_time_millis_testing: 0.68, usercpu_time_millis_training: 5.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.6318, kappa: 0.2809, kb_relative_information_score: 219.6365, mean_absolute_error: 0.4747, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6783, predictive_accuracy: 0.6561, prior_entropy: 0.9948, recall: 0.6561, relative_absolute_error: 0.9562, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4784, root_relative_squared_error: 0.9603, scimark_benchmark: 1752.7039, usercpu_time_millis: 20.342, usercpu_time_millis_testing: 1.702, usercpu_time_millis_training: 18.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7608, f_measure: 0.6672, kappa: 0.3325, kb_relative_information_score: 332.0293, mean_absolute_error: 0.4626, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6789, predictive_accuracy: 0.6753, prior_entropy: 0.9948, recall: 0.6753, relative_absolute_error: 0.9318, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9415, scimark_benchmark: 1747.701, usercpu_time_millis: 13.736, usercpu_time_millis_testing: 1.186, usercpu_time_millis_training: 12.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.621, kappa: 0.2649, kb_relative_information_score: 212.5882, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6754, predictive_accuracy: 0.6494, prior_entropy: 0.9948, recall: 0.6494, relative_absolute_error: 0.9576, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.479, root_relative_squared_error: 0.9615, scimark_benchmark: 1751.8933, usercpu_time_millis: 12.148, usercpu_time_millis_testing: 1.152, usercpu_time_millis_training: 10.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1751, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1730.1287, usercpu_time_millis: 8.188, usercpu_time_millis_testing: 1.265, usercpu_time_millis_training: 6.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7221, kappa: 0.4395, kb_relative_information_score: 612.8147, mean_absolute_error: 0.4311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7221, predictive_accuracy: 0.7227, prior_entropy: 0.9948, recall: 0.7227, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.8964, scimark_benchmark: 1729.728, usercpu_time_millis: 37.289, usercpu_time_millis_testing: 1.242, usercpu_time_millis_training: 36.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.7513, kappa: 0.4982, kb_relative_information_score: 1156.0047, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7531, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.7302, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8366, scimark_benchmark: 1722.6597, usercpu_time_millis: 39.619, usercpu_time_millis_testing: 0.736, usercpu_time_millis_training: 38.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.1965, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1728.8162, usercpu_time_millis: 9.126, usercpu_time_millis_testing: 1.406, usercpu_time_millis_training: 7.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7542, kappa: 0.5041, kb_relative_information_score: 1313.4659, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7568, predictive_accuracy: 0.7561, prior_entropy: 0.9948, recall: 0.7561, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8189, scimark_benchmark: 1694.0463, usercpu_time_millis: 227.926, usercpu_time_millis_testing: 0.908, usercpu_time_millis_training: 227.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.6081, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1722.6507, usercpu_time_millis: 5.441, usercpu_time_millis_testing: 0.775, usercpu_time_millis_training: 4.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0995, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1731.0996, usercpu_time_millis: 6.581, usercpu_time_millis_testing: 0.988, usercpu_time_millis_training: 5.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0419, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1726.9824, usercpu_time_millis: 10.015, usercpu_time_millis_testing: 1.335, usercpu_time_millis_training: 8.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8122, kappa: 0.6213, kb_relative_information_score: 1669.9274, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8124, predictive_accuracy: 0.8126, prior_entropy: 0.9948, recall: 0.8126, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7509, scimark_benchmark: 1719.5281, usercpu_time_millis: 531.58, usercpu_time_millis_testing: 1.386, usercpu_time_millis_training: 530.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7543, kappa: 0.5042, kb_relative_information_score: 1310.93, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7567, predictive_accuracy: 0.7561, prior_entropy: 0.9948, recall: 0.7561, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8167, scimark_benchmark: 1729.3908, usercpu_time_millis: 3198.491, usercpu_time_millis_testing: 1.954, usercpu_time_millis_training: 3196.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.8046, kappa: 0.6059, kb_relative_information_score: 1669.8049, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.805, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7544, scimark_benchmark: 1728.4686, usercpu_time_millis: 6775.423, usercpu_time_millis_testing: 3.497, usercpu_time_millis_training: 6771.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.7761, kappa: 0.5481, kb_relative_information_score: 1352.1426, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7773, predictive_accuracy: 0.7771, prior_entropy: 0.9948, recall: 0.7771, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8061, scimark_benchmark: 1717.5197, usercpu_time_millis: 4357.123, usercpu_time_millis_testing: 2.575, usercpu_time_millis_training: 4354.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 858.4372, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8099, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8746, scimark_benchmark: 1755.5397, usercpu_time_millis: 123.934, usercpu_time_millis_testing: 1.284, usercpu_time_millis_training: 122.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.8078, kappa: 0.6124, kb_relative_information_score: 1733.372, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8078, predictive_accuracy: 0.8081, prior_entropy: 0.9948, recall: 0.8081, relative_absolute_error: 0.5682, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7501, scimark_benchmark: 1723.8599, usercpu_time_millis: 6192.635, usercpu_time_millis_testing: 4.512, usercpu_time_millis_training: 6188.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7755, kappa: 0.5471, kb_relative_information_score: 1326.5668, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7758, predictive_accuracy: 0.7761, prior_entropy: 0.9948, recall: 0.7761, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8078, scimark_benchmark: 1719.131, usercpu_time_millis: 669.466, usercpu_time_millis_testing: 1.675, usercpu_time_millis_training: 667.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0097, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1374.4169, usercpu_time_millis: 10.401, usercpu_time_millis_testing: 2.126, usercpu_time_millis_training: 8.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.7953, kappa: 0.5871, kb_relative_information_score: 1530.3515, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7956, predictive_accuracy: 0.7958, prior_entropy: 0.9948, recall: 0.7958, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7702, scimark_benchmark: 1356.7541, usercpu_time_millis: 8114.435, usercpu_time_millis_testing: 5.127, usercpu_time_millis_training: 8109.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.8097, kappa: 0.6162, kb_relative_information_score: 1615.2443, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7509, scimark_benchmark: 1747.9679, usercpu_time_millis: 1230.868, usercpu_time_millis_testing: 4.257, usercpu_time_millis_training: 1226.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8057, kappa: 0.608, kb_relative_information_score: 1659.511, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8061, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7568, scimark_benchmark: 1833.2039, usercpu_time_millis: 4640.165, usercpu_time_millis_testing: 2.121, usercpu_time_millis_training: 4638.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.794, kappa: 0.5845, kb_relative_information_score: 1444.383, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7942, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.6508, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7824, scimark_benchmark: 1838.8902, usercpu_time_millis: 1418.077, usercpu_time_millis_testing: 2.494, usercpu_time_millis_training: 1415.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.773, kappa: 0.542, kb_relative_information_score: 1264.0748, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7734, predictive_accuracy: 0.7737, prior_entropy: 0.9948, recall: 0.7737, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8106, scimark_benchmark: 1360.6718, usercpu_time_millis: 1213.431, usercpu_time_millis_testing: 3.582, usercpu_time_millis_training: 1209.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.805, kappa: 0.6066, kb_relative_information_score: 1657.8544, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8052, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7573, scimark_benchmark: 1363.6786, usercpu_time_millis: 1452.847, usercpu_time_millis_testing: 1.364, usercpu_time_millis_training: 1451.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.7814, kappa: 0.5589, kb_relative_information_score: 1346.9744, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7821, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7965, scimark_benchmark: 1358.1162, usercpu_time_millis: 53.236, usercpu_time_millis_testing: 1.794, usercpu_time_millis_training: 51.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7361, kappa: 0.469, kb_relative_information_score: 912.2171, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7366, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8608, scimark_benchmark: 1359.6291, usercpu_time_millis: 259.124, usercpu_time_millis_testing: 1.538, usercpu_time_millis_training: 257.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8012, kappa: 0.5991, kb_relative_information_score: 1450.2249, mean_absolute_error: 0.3233, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8015, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.6512, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7732, scimark_benchmark: 2078.487, usercpu_time_millis: 1302.215, usercpu_time_millis_testing: 3.876, usercpu_time_millis_training: 1298.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8048, kappa: 0.6065, kb_relative_information_score: 1727.2445, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8049, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7557, scimark_benchmark: 1360.9045, usercpu_time_millis: 16448.407, usercpu_time_millis_testing: 5.31, usercpu_time_millis_training: 16443.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7673, kappa: 0.5304, kb_relative_information_score: 1327.4541, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7689, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8114, scimark_benchmark: 1748.4988, usercpu_time_millis: 1944.984, usercpu_time_millis_testing: 2.071, usercpu_time_millis_training: 1942.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.798, kappa: 0.5925, kb_relative_information_score: 1581.0362, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7983, predictive_accuracy: 0.7985, prior_entropy: 0.9948, recall: 0.7985, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7677, scimark_benchmark: 1360.6752, usercpu_time_millis: 8016.005, usercpu_time_millis_testing: 3.884, usercpu_time_millis_training: 8012.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.7939, kappa: 0.5841, kb_relative_information_score: 1547.0162, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7943, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7732, scimark_benchmark: 1358.9405, usercpu_time_millis: 12945.434, usercpu_time_millis_testing: 3.543, usercpu_time_millis_training: 12941.891,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7847, kappa: 0.5656, kb_relative_information_score: 1367.0512, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7853, predictive_accuracy: 0.7854, prior_entropy: 0.9948, recall: 0.7854, relative_absolute_error: 0.671, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.7971, scimark_benchmark: 1719.131, usercpu_time_millis: 886.082, usercpu_time_millis_testing: 2.215, usercpu_time_millis_training: 883.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.7935, kappa: 0.5835, kb_relative_information_score: 1517.3238, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7937, predictive_accuracy: 0.7939, prior_entropy: 0.9948, recall: 0.7939, relative_absolute_error: 0.6302, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.7742, scimark_benchmark: 2141.8736, usercpu_time_millis: 3582.203, usercpu_time_millis_testing: 2.308, usercpu_time_millis_training: 3579.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.8128, kappa: 0.6226, kb_relative_information_score: 1497.4443, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8129, predictive_accuracy: 0.8131, prior_entropy: 0.9948, recall: 0.8131, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7599, scimark_benchmark: 1750.9468, usercpu_time_millis: 458.392, usercpu_time_millis_testing: 4.736, usercpu_time_millis_training: 453.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.7952, kappa: 0.5869, kb_relative_information_score: 1359.7384, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7957, predictive_accuracy: 0.7958, prior_entropy: 0.9948, recall: 0.7958, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7844, scimark_benchmark: 1742.5334, usercpu_time_millis: 526.484, usercpu_time_millis_testing: 3.462, usercpu_time_millis_training: 523.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 898.2551, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.875, scimark_benchmark: 1752.1484, usercpu_time_millis: 304.411, usercpu_time_millis_testing: 1.651, usercpu_time_millis_training: 302.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.7792, kappa: 0.5545, kb_relative_information_score: 1278.0433, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.78, predictive_accuracy: 0.7801, prior_entropy: 0.9948, recall: 0.7801, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8075, scimark_benchmark: 1713.4936, usercpu_time_millis: 395.879, usercpu_time_millis_testing: 1.327, usercpu_time_millis_training: 394.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.8115, kappa: 0.62, kb_relative_information_score: 1651.0801, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8116, predictive_accuracy: 0.8118, prior_entropy: 0.9948, recall: 0.8118, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.746, scimark_benchmark: 1747.6779, usercpu_time_millis: 429.184, usercpu_time_millis_testing: 2.329, usercpu_time_millis_training: 426.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.7972, kappa: 0.5909, kb_relative_information_score: 1555.9387, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7975, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7692, scimark_benchmark: 1718.6432, usercpu_time_millis: 7812.324, usercpu_time_millis_testing: 4.186, usercpu_time_millis_training: 7808.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.8135, kappa: 0.6239, kb_relative_information_score: 1588.4287, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8138, predictive_accuracy: 0.8139, prior_entropy: 0.9948, recall: 0.8139, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7526, scimark_benchmark: 1372.6462, usercpu_time_millis: 2862.886, usercpu_time_millis_testing: 5.963, usercpu_time_millis_training: 2856.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.778, kappa: 0.5522, kb_relative_information_score: 1351.9331, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7785, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8042, scimark_benchmark: 2124.4564, usercpu_time_millis: 1441.237, usercpu_time_millis_testing: 1.855, usercpu_time_millis_training: 1439.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7719, kappa: 0.5399, kb_relative_information_score: 1248.3527, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7723, predictive_accuracy: 0.7726, prior_entropy: 0.9948, recall: 0.7726, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8143, scimark_benchmark: 2113.0114, usercpu_time_millis: 767.94, usercpu_time_millis_testing: 2.347, usercpu_time_millis_training: 765.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.8063, kappa: 0.6093, kb_relative_information_score: 1640.414, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8066, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7563, scimark_benchmark: 1729.7859, usercpu_time_millis: 1956.161, usercpu_time_millis_testing: 1.442, usercpu_time_millis_training: 1954.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.7816, kappa: 0.5594, kb_relative_information_score: 1358.0638, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7824, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8014, scimark_benchmark: 1836.6789, usercpu_time_millis: 2809.865, usercpu_time_millis_testing: 2.697, usercpu_time_millis_training: 2807.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.7997, kappa: 0.596, kb_relative_information_score: 1727.6438, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7998, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.568, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7582, scimark_benchmark: 1372.0669, usercpu_time_millis: 26866.831, usercpu_time_millis_testing: 6.286, usercpu_time_millis_training: 26860.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.7774, kappa: 0.5508, kb_relative_information_score: 1391.3134, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7781, predictive_accuracy: 0.7782, prior_entropy: 0.9948, recall: 0.7782, relative_absolute_error: 0.6633, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.7993, scimark_benchmark: 1731.5618, usercpu_time_millis: 919.481, usercpu_time_millis_testing: 1.404, usercpu_time_millis_training: 918.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.795, kappa: 0.5865, kb_relative_information_score: 1613.9043, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7953, predictive_accuracy: 0.7955, prior_entropy: 0.9948, recall: 0.7955, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7682, scimark_benchmark: 1371.113, usercpu_time_millis: 13066.309, usercpu_time_millis_testing: 3.163, usercpu_time_millis_training: 13063.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7483, kappa: 0.4921, kb_relative_information_score: 818.7103, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7497, predictive_accuracy: 0.7497, prior_entropy: 0.9948, recall: 0.7497, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8658, scimark_benchmark: 1846.4335, usercpu_time_millis: 17.977, usercpu_time_millis_testing: 0.764, usercpu_time_millis_training: 17.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7601, kappa: 0.5158, kb_relative_information_score: 1044.3927, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.761, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.7604, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8361, scimark_benchmark: 1838.1861, usercpu_time_millis: 88.909, usercpu_time_millis_testing: 1.135, usercpu_time_millis_training: 87.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.1026, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1349.7472, usercpu_time_millis: 7.472, usercpu_time_millis_testing: 1.506, usercpu_time_millis_training: 5.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.7537, kappa: 0.5029, kb_relative_information_score: 1150.6775, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7551, predictive_accuracy: 0.755, prior_entropy: 0.9948, recall: 0.755, relative_absolute_error: 0.7319, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8352, scimark_benchmark: 1746.3231, usercpu_time_millis: 452.376, usercpu_time_millis_testing: 1.341, usercpu_time_millis_training: 451.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7533, kappa: 0.5023, kb_relative_information_score: 1073.5313, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7535, predictive_accuracy: 0.7539, prior_entropy: 0.9948, recall: 0.7539, relative_absolute_error: 0.7536, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8445, scimark_benchmark: 1734.959, usercpu_time_millis: 28.284, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 27.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1369, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1840.2451, usercpu_time_millis: 9.53, usercpu_time_millis_testing: 1.369, usercpu_time_millis_training: 8.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7372, kappa: 0.4715, kb_relative_information_score: 690.4424, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7379, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.8899, scimark_benchmark: 1837.1955, usercpu_time_millis: 130.543, usercpu_time_millis_testing: 1.541, usercpu_time_millis_training: 129.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8058, kappa: 0.6082, kb_relative_information_score: 1660.4703, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.591, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7511, scimark_benchmark: 1360.958, usercpu_time_millis: 5513.579, usercpu_time_millis_testing: 4.196, usercpu_time_millis_training: 5509.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.7377, kappa: 0.4727, kb_relative_information_score: 966.3434, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7386, predictive_accuracy: 0.7374, prior_entropy: 0.9948, recall: 0.7374, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8579, scimark_benchmark: 1844.2676, usercpu_time_millis: 351.968, usercpu_time_millis_testing: 1.873, usercpu_time_millis_training: 350.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7651, kappa: 0.526, kb_relative_information_score: 1133.4405, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7662, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8236, scimark_benchmark: 1837.1955, usercpu_time_millis: 421.875, usercpu_time_millis_testing: 2.195, usercpu_time_millis_training: 419.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7954, kappa: 0.5875, kb_relative_information_score: 1499.9945, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7955, predictive_accuracy: 0.7958, prior_entropy: 0.9948, recall: 0.7958, relative_absolute_error: 0.6345, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.7729, scimark_benchmark: 1360.9919, usercpu_time_millis: 65.139, usercpu_time_millis_testing: 1.008, usercpu_time_millis_training: 64.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 1013.3569, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7682, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8656, scimark_benchmark: 1852.5406, usercpu_time_millis: 489.635, usercpu_time_millis_testing: 1.814, usercpu_time_millis_training: 487.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.7853, kappa: 0.5671, kb_relative_information_score: 1134.3557, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7854, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.7369, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8116, scimark_benchmark: 1746.7842, usercpu_time_millis: 132.651, usercpu_time_millis_testing: 4.662, usercpu_time_millis_training: 127.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.8017, kappa: 0.6001, kb_relative_information_score: 1563.2395, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.802, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.6189, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7622, scimark_benchmark: 1853.3841, usercpu_time_millis: 501.574, usercpu_time_millis_testing: 1.306, usercpu_time_millis_training: 500.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8006, kappa: 0.5977, kb_relative_information_score: 1587.3998, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.801, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.6111, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.7635, scimark_benchmark: 1714.3925, usercpu_time_millis: 2627.367, usercpu_time_millis_testing: 2.127, usercpu_time_millis_training: 2625.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.7896, kappa: 0.5756, kb_relative_information_score: 1466.523, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.79, predictive_accuracy: 0.7902, prior_entropy: 0.9948, recall: 0.7902, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7829, scimark_benchmark: 1374.3888, usercpu_time_millis: 818.431, usercpu_time_millis_testing: 1.513, usercpu_time_millis_training: 816.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.8077, kappa: 0.6122, kb_relative_information_score: 1713.537, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8079, predictive_accuracy: 0.8081, prior_entropy: 0.9948, recall: 0.8081, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7517, scimark_benchmark: 1701.1325, usercpu_time_millis: 12095.297, usercpu_time_millis_testing: 4.105, usercpu_time_millis_training: 12091.192,

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