OpenML
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 1767 Supervised Classification kr-vs-kp 356 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, build_cpu_time: 643.2598, build_memory: 1887126352, f_measure: 0.9929, kappa: 0.9858, kb_relative_information_score: 15583.7342, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.993, predictive_accuracy: 0.9929, prior_entropy: 0.9986, recall: 0.9929, relative_absolute_error: 0.0276, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.1592, scimark_benchmark: 944.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9621, kappa: 0.9241, kb_relative_information_score: 13179.145, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9626, predictive_accuracy: 0.9621, prior_entropy: 0.9986, recall: 0.9621, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3745, scimark_benchmark: 918.6005, usercpu_time_millis: 620, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9621, kappa: 0.9241, kb_relative_information_score: 13179.145, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9626, predictive_accuracy: 0.9621, prior_entropy: 0.9986, recall: 0.9621, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3745, scimark_benchmark: 1345.1228, usercpu_time_millis: 630, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9891, kappa: 0.9782, kb_relative_information_score: 15612.1307, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9986, recall: 0.9891, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.1795, scimark_benchmark: 1283.2145, usercpu_time_millis: 990, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9216, kappa: 0.8429, kb_relative_information_score: 13468.8342, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9217, predictive_accuracy: 0.9217, prior_entropy: 0.9986, recall: 0.9217, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5604, scimark_benchmark: 1335.643, usercpu_time_millis: 3960, usercpu_time_millis_testing: 1350, usercpu_time_millis_training: 2610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 1380.2233, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 1343.2125, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 1342.6911, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 1341.5795, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9852, kappa: 0.9703, kb_relative_information_score: 14595.4835, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9852, predictive_accuracy: 0.9852, prior_entropy: 0.9986, recall: 0.9852, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.121, root_relative_squared_error: 0.2422, scimark_benchmark: 1297.2338, usercpu_time_millis: 442160, usercpu_time_millis_testing: 2920, usercpu_time_millis_training: 439240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3583, kb_relative_information_score: -0.0661, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6717, kappa: 0.3507, kb_relative_information_score: 5720.8124, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.6906, predictive_accuracy: 0.6799, prior_entropy: 0.9986, recall: 0.6799, relative_absolute_error: 0.6414, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5658, root_relative_squared_error: 1.1326, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.8687, kappa: 0.7389, kb_relative_information_score: 11778.0285, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.8765, predictive_accuracy: 0.8689, prior_entropy: 0.9986, recall: 0.8689, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7249, scimark_benchmark: 1028.5889, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9852, kappa: 0.9703, kb_relative_information_score: 14595.4835, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9852, predictive_accuracy: 0.9852, prior_entropy: 0.9986, recall: 0.9852, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.121, root_relative_squared_error: 0.2422, scimark_benchmark: 1073.494, usercpu_time_millis: 397340, usercpu_time_millis_testing: 2940, usercpu_time_millis_training: 394400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9653, kappa: 0.9304, kb_relative_information_score: 14199.1926, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.9986, recall: 0.9653, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3294, scimark_benchmark: 1304.9611, usercpu_time_millis: 2330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.9352, kappa: 0.8702, kb_relative_information_score: 13898.2154, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9352, predictive_accuracy: 0.9352, prior_entropy: 0.9986, recall: 0.9352, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.5097, scimark_benchmark: 1361.1055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.964, kappa: 0.9279, kb_relative_information_score: 14826.6936, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.964, predictive_accuracy: 0.964, prior_entropy: 0.9986, recall: 0.964, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.3798, scimark_benchmark: 939.449, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9509, kappa: 0.9015, kb_relative_information_score: 14405.4964, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9509, predictive_accuracy: 0.9509, prior_entropy: 0.9986, recall: 0.9509, relative_absolute_error: 0.0984, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.4437, scimark_benchmark: 1321.527, usercpu_time_millis: 1350, usercpu_time_millis_training: 1350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9621, kappa: 0.9241, kb_relative_information_score: 13179.145, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9626, predictive_accuracy: 0.9621, prior_entropy: 0.9986, recall: 0.9621, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3745, scimark_benchmark: 1311.1837, usercpu_time_millis: 610, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 1322.4968, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 933.1165, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 855.8522, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9271, kappa: 0.8539, kb_relative_information_score: 12712.2911, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9293, predictive_accuracy: 0.9273, prior_entropy: 0.9986, recall: 0.9273, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5002, scimark_benchmark: 1331.5882, usercpu_time_millis: 1360, usercpu_time_millis_testing: 1360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.8616, kappa: 0.7231, kb_relative_information_score: 11543.3615, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.8625, predictive_accuracy: 0.8616, prior_entropy: 0.9986, recall: 0.8616, relative_absolute_error: 0.2774, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.7448, scimark_benchmark: 937.5996, usercpu_time_millis: 6530, usercpu_time_millis_testing: 6530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9256, kappa: 0.8508, kb_relative_information_score: 11079.3838, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9269, predictive_accuracy: 0.9257, prior_entropy: 0.9986, recall: 0.9257, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.5103, scimark_benchmark: 1307.3764, usercpu_time_millis: 1080, usercpu_time_millis_testing: 930, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9671, kappa: 0.9342, kb_relative_information_score: 14390.2555, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9671, predictive_accuracy: 0.9671, prior_entropy: 0.9986, recall: 0.9671, relative_absolute_error: 0.1079, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3194, scimark_benchmark: 961.21, usercpu_time_millis: 640, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9202, kappa: 0.8399, kb_relative_information_score: 11112.2608, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9216, predictive_accuracy: 0.9203, prior_entropy: 0.9986, recall: 0.9203, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.5073, scimark_benchmark: 1315.933, usercpu_time_millis: 110, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.971, kappa: 0.9419, kb_relative_information_score: 8659.6415, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9713, predictive_accuracy: 0.971, prior_entropy: 0.9986, recall: 0.971, relative_absolute_error: 0.5266, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.5732, scimark_benchmark: 1328.8457, usercpu_time_millis: 1780, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.6233, kappa: 0.3396, kb_relative_information_score: 3374.6984, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.8015, predictive_accuracy: 0.6605, prior_entropy: 0.9986, recall: 0.6605, relative_absolute_error: 0.796, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.8919, scimark_benchmark: 1339.4964, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9687, kappa: 0.9373, kb_relative_information_score: 14977.1211, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9689, predictive_accuracy: 0.9687, prior_entropy: 0.9986, recall: 0.9687, relative_absolute_error: 0.0627, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.3541, scimark_benchmark: 918.6005, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8708, kappa: 0.741, kb_relative_information_score: 9682.8257, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.871, predictive_accuracy: 0.8709, prior_entropy: 0.9986, recall: 0.8709, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6127, scimark_benchmark: 1332.4146, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9854, kappa: 0.9706, kb_relative_information_score: 15123.0184, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9986, recall: 0.9854, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.2199, scimark_benchmark: 1316.7863, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9859, kappa: 0.9718, kb_relative_information_score: 15135.7133, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9859, predictive_accuracy: 0.9859, prior_entropy: 0.9986, recall: 0.9859, relative_absolute_error: 0.0593, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2152, scimark_benchmark: 1327.4647, usercpu_time_millis: 660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9864, kappa: 0.9728, kb_relative_information_score: 15139.8462, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9864, predictive_accuracy: 0.9864, prior_entropy: 0.9986, recall: 0.9864, relative_absolute_error: 0.0591, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.2139, scimark_benchmark: 1313.9606, usercpu_time_millis: 1090, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.986, kappa: 0.972, kb_relative_information_score: 15128.4399, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9861, predictive_accuracy: 0.986, prior_entropy: 0.9986, recall: 0.986, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.2144, scimark_benchmark: 1345.0332, usercpu_time_millis: 3140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 3070,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6605, kappa: 0.3402, kb_relative_information_score: 5281.564, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.6881, predictive_accuracy: 0.6662, prior_entropy: 0.9986, recall: 0.6662, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5777, root_relative_squared_error: 1.1566, scimark_benchmark: 906.4475, usercpu_time_millis: 1310, usercpu_time_millis_testing: 1300, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, build_cpu_time: 899.4725, build_memory: 55844922.4, f_measure: 0.9891, kappa: 0.9782, kb_relative_information_score: 15621.3056, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9892, predictive_accuracy: 0.9891, prior_entropy: 0.9986, recall: 0.9891, relative_absolute_error: 0.0227, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0971, root_relative_squared_error: 0.1944, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 397.1089, build_memory: 38902528, f_measure: 0.9864, kappa: 0.9726, kb_relative_information_score: 15452.3221, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9864, predictive_accuracy: 0.9864, prior_entropy: 0.9986, recall: 0.9864, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.107, root_relative_squared_error: 0.2142, scimark_benchmark: 943.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, build_cpu_time: 204.7163, build_memory: 324885149.6, f_measure: 0.9748, kappa: 0.9496, kb_relative_information_score: 14879.0883, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9749, predictive_accuracy: 0.9748, prior_entropy: 0.9986, recall: 0.9748, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.2828, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, build_cpu_time: 0.3108, build_memory: 716287368, f_measure: 0.9502, kappa: 0.9001, kb_relative_information_score: 14102.2922, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9502, predictive_accuracy: 0.9502, prior_entropy: 0.9986, recall: 0.9502, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.3874, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, build_cpu_time: 3.939, build_memory: 144500609.6, f_measure: 0.9879, kappa: 0.9758, kb_relative_information_score: 15466.5029, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9879, predictive_accuracy: 0.9879, prior_entropy: 0.9986, recall: 0.9879, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.1969, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, build_cpu_time: 65.1353, build_memory: 1350799871.2, f_measure: 0.9923, kappa: 0.9846, kb_relative_information_score: 15731.8247, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.9986, recall: 0.9923, relative_absolute_error: 0.0155, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.173, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, build_cpu_time: 142.7946, build_memory: 1013952688.8, f_measure: 0.9932, kappa: 0.9865, kb_relative_information_score: 15763.3334, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9933, predictive_accuracy: 0.9932, prior_entropy: 0.9986, recall: 0.9932, relative_absolute_error: 0.0136, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.1632, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, build_cpu_time: 2.2224, build_memory: 2915139080, f_measure: 0.9928, kappa: 0.9856, kb_relative_information_score: 15750.7507, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9986, recall: 0.9928, relative_absolute_error: 0.0143, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.1659, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, build_cpu_time: 3.1786, build_memory: 190207368, f_measure: 0.9931, kappa: 0.9862, kb_relative_information_score: 15751.983, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.9986, recall: 0.9931, relative_absolute_error: 0.0143, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.1653, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, build_cpu_time: 51.9953, build_memory: 940522086.4, f_measure: 0.994, kappa: 0.988, kb_relative_information_score: 15785.1653, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 0.9986, recall: 0.994, relative_absolute_error: 0.0122, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.154, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 23.7448, build_memory: 875555034.4, f_measure: 0.9937, kappa: 0.9875, kb_relative_information_score: 15775.5095, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.9986, recall: 0.9937, relative_absolute_error: 0.0128, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.077, root_relative_squared_error: 0.1542, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 14.8147, build_memory: 314350919.2, f_measure: 0.9934, kappa: 0.9868, kb_relative_information_score: 15760.3474, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9986, recall: 0.9934, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.152, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, build_cpu_time: 614.2529, build_memory: 160732706.4, f_measure: 0.9937, kappa: 0.9873, kb_relative_information_score: 15777.7356, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.9986, recall: 0.9937, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.1586, scimark_benchmark: 934.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 1594.1392, build_memory: 88755917.6, f_measure: 0.9907, kappa: 0.9814, kb_relative_information_score: 15685.0211, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9908, predictive_accuracy: 0.9907, prior_entropy: 0.9986, recall: 0.9907, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.1869, scimark_benchmark: 934.9083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, build_cpu_time: 101.1416, build_memory: 19241624.8, f_measure: 0.9493, kappa: 0.8984, kb_relative_information_score: 13581.5624, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9496, predictive_accuracy: 0.9494, prior_entropy: 0.9986, recall: 0.9494, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.3913, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, build_cpu_time: 6.5572, build_memory: 342792331.2, f_measure: 0.9924, kappa: 0.9847, kb_relative_information_score: 15697.3831, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.9986, recall: 0.9924, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.1594, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, build_cpu_time: 1213.7535, build_memory: 2114026832.8, f_measure: 0.994, kappa: 0.988, kb_relative_information_score: 15788.8407, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 0.9986, recall: 0.994, relative_absolute_error: 0.0119, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.1539, scimark_benchmark: 936.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, build_cpu_time: 0.4004, build_memory: 1748109929.6, f_measure: 0.8708, kappa: 0.741, kb_relative_information_score: 9591.9131, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.871, predictive_accuracy: 0.8709, prior_entropy: 0.9986, recall: 0.8709, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6142, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 2.3185, build_memory: 659593652, f_measure: 0.9867, kappa: 0.9734, kb_relative_information_score: 14288.8794, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9867, predictive_accuracy: 0.9867, prior_entropy: 0.9986, recall: 0.9867, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.2604, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, build_cpu_time: 0.0554, build_memory: 932196449.6, f_measure: 0.8138, kappa: 0.6358, kb_relative_information_score: 5365.1296, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.8426, predictive_accuracy: 0.8161, prior_entropy: 0.9986, recall: 0.8161, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7843, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, build_cpu_time: 32.5517, build_memory: 2428362016, f_measure: 0.9922, kappa: 0.9844, kb_relative_information_score: 15574.6901, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9923, predictive_accuracy: 0.9922, prior_entropy: 0.9986, recall: 0.9922, relative_absolute_error: 0.0277, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.1654, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, build_cpu_time: 0.0077, build_memory: 1469488830.4, f_measure: 0.8183, kappa: 0.6439, kb_relative_information_score: 5420.5099, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.8446, predictive_accuracy: 0.8203, prior_entropy: 0.9986, recall: 0.8203, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7812, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, build_cpu_time: 85.4605, build_memory: 202114160, f_measure: 0.9926, kappa: 0.9852, kb_relative_information_score: 15581.9159, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9926, predictive_accuracy: 0.9926, prior_entropy: 0.9986, recall: 0.9926, relative_absolute_error: 0.0275, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0807, root_relative_squared_error: 0.1615, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, build_cpu_time: 0.0071, build_memory: 59361323.2, f_measure: 0.8124, kappa: 0.6331, kb_relative_information_score: 5408.7665, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.8417, predictive_accuracy: 0.8147, prior_entropy: 0.9986, recall: 0.8147, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7823, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, build_cpu_time: 0.0193, build_memory: 1653535702.4, f_measure: 0.8105, kappa: 0.6299, kb_relative_information_score: 5368.4068, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.841, predictive_accuracy: 0.813, prior_entropy: 0.9986, recall: 0.813, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7841, scimark_benchmark: 1225.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, build_cpu_time: 0.0224, build_memory: 568625344, f_measure: 0.813, kappa: 0.6343, kb_relative_information_score: 5384.8437, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.842, predictive_accuracy: 0.8153, prior_entropy: 0.9986, recall: 0.8153, relative_absolute_error: 0.695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7832, scimark_benchmark: 943.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 2735.413, build_memory: 1062850861.6, f_measure: 0.9899, kappa: 0.9797, kb_relative_information_score: 15369.9866, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9899, predictive_accuracy: 0.9899, prior_entropy: 0.9986, recall: 0.9899, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.1899, scimark_benchmark: 945.5575,

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