OpenML
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: 0.9924, f_measure: 0.962, kappa: 0.9067, kb_relative_information_score: 28609.4214, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.1816, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3832, scimark_benchmark: 1258.4772, usercpu_time_millis: 2254.997, usercpu_time_millis_testing: 69.271, usercpu_time_millis_training: 2185.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9421, kappa: 0.8567, kb_relative_information_score: 25633.1848, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9423, predictive_accuracy: 0.9427, prior_entropy: 0.863, recall: 0.9427, relative_absolute_error: 0.2753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.4631, scimark_benchmark: 1265.7852, usercpu_time_millis: 441.196, usercpu_time_millis_testing: 16.272, usercpu_time_millis_training: 424.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9677, kappa: 0.9208, kb_relative_information_score: 29577.0552, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 0.863, recall: 0.9678, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.3499, scimark_benchmark: 1249.7071, usercpu_time_millis: 858.423, usercpu_time_millis_testing: 15.097, usercpu_time_millis_training: 843.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9492, kappa: 0.8742, kb_relative_information_score: 24039.7075, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9499, predictive_accuracy: 0.9499, prior_entropy: 0.863, recall: 0.9499, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4752, scimark_benchmark: 1263.3196, usercpu_time_millis: 965.803, usercpu_time_millis_testing: 51.073, usercpu_time_millis_training: 914.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9593, kappa: 0.9001, kb_relative_information_score: 28277.6103, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3951, scimark_benchmark: 1232.1201, usercpu_time_millis: 1033.695, usercpu_time_millis_testing: 14.917, usercpu_time_millis_training: 1018.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9554, kappa: 0.8904, kb_relative_information_score: 27438.52, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9553, predictive_accuracy: 0.9555, prior_entropy: 0.863, recall: 0.9555, relative_absolute_error: 0.2174, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.4172, scimark_benchmark: 1255.0011, usercpu_time_millis: 1408.664, usercpu_time_millis_testing: 40.08, usercpu_time_millis_training: 1368.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.97, kappa: 0.9265, kb_relative_information_score: 29984.9978, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.97, predictive_accuracy: 0.9701, prior_entropy: 0.863, recall: 0.9701, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.3394, scimark_benchmark: 1248.8664, usercpu_time_millis: 1751.439, usercpu_time_millis_testing: 26.928, usercpu_time_millis_training: 1724.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9364, kappa: 0.8425, kb_relative_information_score: 25519.9555, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9366, predictive_accuracy: 0.9371, prior_entropy: 0.863, recall: 0.9371, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.4827, scimark_benchmark: 1232.5221, usercpu_time_millis: 2448.437, usercpu_time_millis_testing: 31.287, usercpu_time_millis_training: 2417.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9461, kappa: 0.8667, kb_relative_information_score: 25624.3821, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9464, predictive_accuracy: 0.9467, prior_entropy: 0.863, recall: 0.9467, relative_absolute_error: 0.2791, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.4562, scimark_benchmark: 1265.4046, usercpu_time_millis: 1240.23, usercpu_time_millis_testing: 64.246, usercpu_time_millis_training: 1175.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9623, kappa: 0.9074, kb_relative_information_score: 28518.0848, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9624, prior_entropy: 0.863, recall: 0.9624, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3826, scimark_benchmark: 1249.6854, usercpu_time_millis: 2330.887, usercpu_time_millis_testing: 101.647, usercpu_time_millis_training: 2229.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9152, kappa: 0.7871, kb_relative_information_score: 16686.5431, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9193, predictive_accuracy: 0.9179, prior_entropy: 0.863, recall: 0.9179, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.6404, scimark_benchmark: 1241.3457, usercpu_time_millis: 846.522, usercpu_time_millis_testing: 55.964, usercpu_time_millis_training: 790.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.965, kappa: 0.914, kb_relative_information_score: 28807.9631, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.178, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3692, scimark_benchmark: 1256.2737, usercpu_time_millis: 2047.961, usercpu_time_millis_testing: 75.164, usercpu_time_millis_training: 1972.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9617, kappa: 0.9059, kb_relative_information_score: 28685.2997, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3831, scimark_benchmark: 1290.9993, usercpu_time_millis: 329.502, usercpu_time_millis_testing: 7.135, usercpu_time_millis_training: 322.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9608, kappa: 0.9036, kb_relative_information_score: 28486.4571, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9607, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3879, scimark_benchmark: 1235.0752, usercpu_time_millis: 352.284, usercpu_time_millis_testing: 12.352, usercpu_time_millis_training: 339.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9332, kappa: 0.8339, kb_relative_information_score: 22224.7822, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9342, predictive_accuracy: 0.9344, prior_entropy: 0.863, recall: 0.9344, relative_absolute_error: 0.3914, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.5258, scimark_benchmark: 1293.1546, usercpu_time_millis: 401.989, usercpu_time_millis_testing: 20.044, usercpu_time_millis_training: 381.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9619, kappa: 0.9059, kb_relative_information_score: 26585.64, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.4056, scimark_benchmark: 1288.5556, usercpu_time_millis: 460.805, usercpu_time_millis_testing: 22.796, usercpu_time_millis_training: 438.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9435, kappa: 0.8612, kb_relative_information_score: 27152.4879, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9434, predictive_accuracy: 0.9436, prior_entropy: 0.863, recall: 0.9436, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4495, scimark_benchmark: 1255.7779, usercpu_time_millis: 8811.338, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 8810.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9625, kappa: 0.9079, kb_relative_information_score: 28801.891, mean_absolute_error: 0.0712, 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: 0.1745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3813, scimark_benchmark: 1238.3666, usercpu_time_millis: 2948.072, usercpu_time_millis_testing: 40.151, usercpu_time_millis_training: 2907.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9667, kappa: 0.9183, kb_relative_information_score: 28946.118, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9668, prior_entropy: 0.863, recall: 0.9668, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.3621, scimark_benchmark: 1250.2317, usercpu_time_millis: 369.777, usercpu_time_millis_testing: 16.615, usercpu_time_millis_training: 353.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9326, kappa: 0.8323, kb_relative_information_score: 21176.0295, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9337, predictive_accuracy: 0.9338, prior_entropy: 0.863, recall: 0.9338, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.5463, scimark_benchmark: 1260.6201, usercpu_time_millis: 317.42, usercpu_time_millis_testing: 16.786, usercpu_time_millis_training: 300.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9164, kappa: 0.7909, kb_relative_information_score: 19885.6326, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9186, predictive_accuracy: 0.9185, prior_entropy: 0.863, recall: 0.9185, relative_absolute_error: 0.458, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.262, root_relative_squared_error: 0.5799, scimark_benchmark: 1244.3595, usercpu_time_millis: 1345.779, usercpu_time_millis_testing: 51.244, usercpu_time_millis_training: 1294.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9611, kappa: 0.9045, kb_relative_information_score: 28151.3448, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3883, scimark_benchmark: 1292.9218, usercpu_time_millis: 2488.976, usercpu_time_millis_testing: 109.866, usercpu_time_millis_training: 2379.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9395, kappa: 0.85, kb_relative_information_score: 23797.6213, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9401, predictive_accuracy: 0.9403, prior_entropy: 0.863, recall: 0.9403, relative_absolute_error: 0.3412, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4932, scimark_benchmark: 1265.0488, usercpu_time_millis: 548.394, usercpu_time_millis_testing: 28.274, usercpu_time_millis_training: 520.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9681, kappa: 0.9218, kb_relative_information_score: 29604.4545, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9682, prior_entropy: 0.863, recall: 0.9682, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.158, root_relative_squared_error: 0.3498, scimark_benchmark: 1257.7241, usercpu_time_millis: 4846.401, usercpu_time_millis_testing: 71.67, usercpu_time_millis_training: 4774.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.942, kappa: 0.857, kb_relative_information_score: 26175.4287, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.942, predictive_accuracy: 0.9425, prior_entropy: 0.863, recall: 0.9425, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.4608, scimark_benchmark: 1240.78, usercpu_time_millis: 1533.272, usercpu_time_millis_testing: 29.155, usercpu_time_millis_training: 1504.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9547, kappa: 0.8887, kb_relative_information_score: 27476.899, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9546, predictive_accuracy: 0.9548, prior_entropy: 0.863, recall: 0.9548, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.4195, scimark_benchmark: 1231.9059, usercpu_time_millis: 2333.344, usercpu_time_millis_testing: 57.593, usercpu_time_millis_training: 2275.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9682, kappa: 0.9219, kb_relative_information_score: 29575.1488, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9682, prior_entropy: 0.863, recall: 0.9682, relative_absolute_error: 0.1526, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.3484, scimark_benchmark: 1281.4121, usercpu_time_millis: 816.873, usercpu_time_millis_testing: 21.266, usercpu_time_millis_training: 795.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9642, kappa: 0.9122, kb_relative_information_score: 29089.9085, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1659, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3695, scimark_benchmark: 1271.4579, usercpu_time_millis: 6215.046, usercpu_time_millis_testing: 82.146, usercpu_time_millis_training: 6132.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9322, kappa: 0.8313, kb_relative_information_score: 24728.5954, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9331, predictive_accuracy: 0.9333, prior_entropy: 0.863, recall: 0.9333, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.4956, scimark_benchmark: 1243.9993, usercpu_time_millis: 544.496, usercpu_time_millis_testing: 24.075, usercpu_time_millis_training: 520.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.966, kappa: 0.9165, kb_relative_information_score: 29117.117, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.3603, scimark_benchmark: 1264.8042, usercpu_time_millis: 1790.449, usercpu_time_millis_testing: 45.71, usercpu_time_millis_training: 1744.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9173, kappa: 0.7915, kb_relative_information_score: 18051.8203, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9235, predictive_accuracy: 0.9204, prior_entropy: 0.863, recall: 0.9204, relative_absolute_error: 0.5339, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.275, root_relative_squared_error: 0.6088, scimark_benchmark: 1244.5059, usercpu_time_millis: 779.127, usercpu_time_millis_testing: 58.223, usercpu_time_millis_training: 720.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9347, kappa: 0.8394, kb_relative_information_score: 24183.2539, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9346, predictive_accuracy: 0.935, prior_entropy: 0.863, recall: 0.935, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.5021, scimark_benchmark: 1280.3378, usercpu_time_millis: 11572.088, usercpu_time_millis_testing: 0.827, usercpu_time_millis_training: 11571.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9591, kappa: 0.8996, kb_relative_information_score: 28395.5203, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9591, predictive_accuracy: 0.9593, prior_entropy: 0.863, recall: 0.9593, relative_absolute_error: 0.1869, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3957, scimark_benchmark: 1260.9163, usercpu_time_millis: 1303.21, usercpu_time_millis_testing: 17.803, usercpu_time_millis_training: 1285.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9321, kappa: 0.8298, kb_relative_information_score: 19447.7808, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9361, predictive_accuracy: 0.9341, prior_entropy: 0.863, recall: 0.9341, relative_absolute_error: 0.4954, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.5746, scimark_benchmark: 1236.6802, usercpu_time_millis: 1331.595, usercpu_time_millis_testing: 86.906, usercpu_time_millis_training: 1244.689,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9618, kappa: 0.9061, kb_relative_information_score: 28204.9646, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.3863, scimark_benchmark: 1223.7766, usercpu_time_millis: 2194.918, usercpu_time_millis_testing: 114.485, usercpu_time_millis_training: 2080.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9674, kappa: 0.9201, kb_relative_information_score: 29971.5016, mean_absolute_error: 0.0558, 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: 0.1367, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3524, scimark_benchmark: 1300.7055, usercpu_time_millis: 5821.776, usercpu_time_millis_testing: 18.608, usercpu_time_millis_training: 5803.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.945, kappa: 0.8644, kb_relative_information_score: 26121.1965, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9449, predictive_accuracy: 0.9453, prior_entropy: 0.863, recall: 0.9453, relative_absolute_error: 0.2605, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.205, root_relative_squared_error: 0.4539, scimark_benchmark: 1266.2197, usercpu_time_millis: 4332.94, usercpu_time_millis_testing: 20.926, usercpu_time_millis_training: 4312.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 29581.4671, mean_absolute_error: 0.0621, 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: 0.1523, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3488, scimark_benchmark: 1297.9454, usercpu_time_millis: 2358.439, usercpu_time_millis_testing: 45.393, usercpu_time_millis_training: 2313.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9625, kappa: 0.908, kb_relative_information_score: 29002.7606, mean_absolute_error: 0.0685, 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: 0.1678, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3791, scimark_benchmark: 1266.1891, usercpu_time_millis: 5722.861, usercpu_time_millis_testing: 34.093, usercpu_time_millis_training: 5688.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9635, kappa: 0.9104, kb_relative_information_score: 29128.3792, mean_absolute_error: 0.067, 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: 0.1641, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.169, root_relative_squared_error: 0.3742, scimark_benchmark: 1302.0665, usercpu_time_millis: 7868.693, usercpu_time_millis_testing: 36.937, usercpu_time_millis_training: 7831.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9568, kappa: 0.8939, kb_relative_information_score: 28847.0779, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9568, predictive_accuracy: 0.9569, prior_entropy: 0.863, recall: 0.9569, relative_absolute_error: 0.1693, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3957, scimark_benchmark: 1269.1193, usercpu_time_millis: 9374.136, usercpu_time_millis_testing: 19.258, usercpu_time_millis_training: 9354.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9677, kappa: 0.9207, kb_relative_information_score: 29677.0663, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3548, scimark_benchmark: 1273.7557, usercpu_time_millis: 10307.062, usercpu_time_millis_testing: 46.802, usercpu_time_millis_training: 10260.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9631, kappa: 0.9094, kb_relative_information_score: 28868.976, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.173, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.3772, scimark_benchmark: 1276.9299, usercpu_time_millis: 4412.038, usercpu_time_millis_testing: 86.668, usercpu_time_millis_training: 4325.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9295, kappa: 0.8259, kb_relative_information_score: 22242.1184, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9294, predictive_accuracy: 0.93, prior_entropy: 0.863, recall: 0.93, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.243, root_relative_squared_error: 0.5381, scimark_benchmark: 1272.7106, usercpu_time_millis: 11073.837, usercpu_time_millis_testing: 0.816, usercpu_time_millis_training: 11073.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9273, kappa: 0.8209, kb_relative_information_score: 22285.6871, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9272, predictive_accuracy: 0.9278, prior_entropy: 0.863, recall: 0.9278, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5427, scimark_benchmark: 1298.8091, usercpu_time_millis: 11411.468, usercpu_time_millis_testing: 0.923, usercpu_time_millis_training: 11410.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9633, kappa: 0.91, kb_relative_information_score: 28914.8711, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.3761, scimark_benchmark: 1270.2516, usercpu_time_millis: 6000.048, usercpu_time_millis_testing: 97.529, usercpu_time_millis_training: 5902.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9671, kappa: 0.9193, kb_relative_information_score: 29639.223, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3558, scimark_benchmark: 1301.2377, usercpu_time_millis: 3250.592, usercpu_time_millis_testing: 16.646, usercpu_time_millis_training: 3233.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9423, kappa: 0.8583, kb_relative_information_score: 27301.9308, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9422, predictive_accuracy: 0.9424, prior_entropy: 0.863, recall: 0.9424, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4523, scimark_benchmark: 1294.4346, usercpu_time_millis: 2335.044, usercpu_time_millis_testing: 0.837, usercpu_time_millis_training: 2334.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9501, kappa: 0.8771, kb_relative_information_score: 27246.1575, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9501, predictive_accuracy: 0.9504, prior_entropy: 0.863, recall: 0.9504, relative_absolute_error: 0.2259, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.427, scimark_benchmark: 1269.4047, usercpu_time_millis: 13661.112, usercpu_time_millis_testing: 76.165, usercpu_time_millis_training: 13584.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9681, kappa: 0.9217, kb_relative_information_score: 29678.9854, mean_absolute_error: 0.0603, 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: 0.1478, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.353, scimark_benchmark: 1268.1115, usercpu_time_millis: 14821.63, usercpu_time_millis_testing: 78.02, usercpu_time_millis_training: 14743.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9653, kappa: 0.9149, kb_relative_information_score: 29415.8085, mean_absolute_error: 0.0634, 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: 0.1553, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3648, scimark_benchmark: 1299.9305, usercpu_time_millis: 7678.38, usercpu_time_millis_testing: 41.104, usercpu_time_millis_training: 7637.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.939, kappa: 0.8503, kb_relative_information_score: 26559.8284, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9389, predictive_accuracy: 0.9392, prior_entropy: 0.863, recall: 0.9392, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4688, scimark_benchmark: 1271.3, usercpu_time_millis: 1434.99, usercpu_time_millis_testing: 0.841, usercpu_time_millis_training: 1434.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9324, kappa: 0.8336, kb_relative_information_score: 24432.5335, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9322, predictive_accuracy: 0.9327, prior_entropy: 0.863, recall: 0.9327, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.228, root_relative_squared_error: 0.5047, scimark_benchmark: 1267.2553, usercpu_time_millis: 3219.578, usercpu_time_millis_testing: 0.889, usercpu_time_millis_training: 3218.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9296, kappa: 0.8265, kb_relative_information_score: 22821.2399, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9294, predictive_accuracy: 0.93, prior_entropy: 0.863, recall: 0.93, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.5282, scimark_benchmark: 1253.9344, usercpu_time_millis: 5656.385, usercpu_time_millis_testing: 1.032, usercpu_time_millis_training: 5655.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9327, kappa: 0.8327, kb_relative_information_score: 23308.6063, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9335, predictive_accuracy: 0.9338, prior_entropy: 0.863, recall: 0.9338, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4994, scimark_benchmark: 1278.3305, usercpu_time_millis: 4525.736, usercpu_time_millis_testing: 10.463, usercpu_time_millis_training: 4515.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9684, kappa: 0.9225, kb_relative_information_score: 30746.7798, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1099, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.152, root_relative_squared_error: 0.3365, scimark_benchmark: 1265.8652, usercpu_time_millis: 9169.808, usercpu_time_millis_testing: 14.749, usercpu_time_millis_training: 9155.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9414, kappa: 0.8561, kb_relative_information_score: 27291.7645, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9413, predictive_accuracy: 0.9414, prior_entropy: 0.863, recall: 0.9414, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.46, scimark_benchmark: 1285.8455, usercpu_time_millis: 11504.841, usercpu_time_millis_testing: 122.076, usercpu_time_millis_training: 11382.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9401, kappa: 0.8529, kb_relative_information_score: 26886.1864, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.94, predictive_accuracy: 0.9403, prior_entropy: 0.863, recall: 0.9403, relative_absolute_error: 0.2268, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.4608, scimark_benchmark: 1263.3135, usercpu_time_millis: 11071.827, usercpu_time_millis_testing: 0.9, usercpu_time_millis_training: 11070.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9617, kappa: 0.9059, kb_relative_information_score: 28366.4378, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.3859, scimark_benchmark: 1308.2987, usercpu_time_millis: 1834.489, usercpu_time_millis_testing: 73.627, usercpu_time_millis_training: 1760.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9659, kappa: 0.9162, kb_relative_information_score: 29380.386, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.1571, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3614, scimark_benchmark: 1281.8134, usercpu_time_millis: 6713.54, usercpu_time_millis_testing: 80.23, usercpu_time_millis_training: 6633.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9075, kappa: 0.7685, kb_relative_information_score: 3127.0649, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9096, predictive_accuracy: 0.9099, prior_entropy: 0.863, recall: 0.9099, relative_absolute_error: 0.9158, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.843, scimark_benchmark: 1261.5114, usercpu_time_millis: 952.66, usercpu_time_millis_testing: 3.141, usercpu_time_millis_training: 949.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9446, kappa: 0.8641, kb_relative_information_score: 27436.9998, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9446, predictive_accuracy: 0.9448, prior_entropy: 0.863, recall: 0.9448, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4437, scimark_benchmark: 1253.331, usercpu_time_millis: 2743.676, usercpu_time_millis_testing: 0.918, usercpu_time_millis_training: 2742.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9574, kappa: 0.8951, kb_relative_information_score: 29056.6245, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9577, prior_entropy: 0.863, recall: 0.9577, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.4, scimark_benchmark: 1270.3756, usercpu_time_millis: 18018.477, usercpu_time_millis_testing: 81.236, usercpu_time_millis_training: 17937.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.941, kappa: 0.8552, kb_relative_information_score: 27247.3397, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9409, predictive_accuracy: 0.9411, prior_entropy: 0.863, recall: 0.9411, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.206, root_relative_squared_error: 0.4561, scimark_benchmark: 1268.2002, usercpu_time_millis: 10328.15, usercpu_time_millis_testing: 0.924, usercpu_time_millis_training: 10327.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9418, kappa: 0.8561, kb_relative_information_score: 14729.6401, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9421, predictive_accuracy: 0.9425, prior_entropy: 0.863, recall: 0.9425, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.6439, scimark_benchmark: 1258.9449, usercpu_time_millis: 3490.992, usercpu_time_millis_testing: 12.135, usercpu_time_millis_training: 3478.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9609, kappa: 0.9039, kb_relative_information_score: 28370.7737, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.961, prior_entropy: 0.863, recall: 0.961, relative_absolute_error: 0.1897, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3879, scimark_benchmark: 1270.3834, usercpu_time_millis: 242.829, usercpu_time_millis_testing: 8.015, usercpu_time_millis_training: 234.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.963, kappa: 0.9092, kb_relative_information_score: 28658.9773, mean_absolute_error: 0.0739, 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: 0.1812, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.3781, scimark_benchmark: 1264.0143, usercpu_time_millis: 2700.718, usercpu_time_millis_testing: 96.013, usercpu_time_millis_training: 2604.705,

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