OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 54817 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.6681, kappa: 0.3362, kb_relative_information_score: 719.2179, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6681, predictive_accuracy: 0.6681, prior_entropy: 1, recall: 0.6681, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9448, scimark_benchmark: 1284.6356, usercpu_time_millis: 1253.012, usercpu_time_millis_testing: 1.248, usercpu_time_millis_training: 1251.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6247, f_measure: 0.5973, kappa: 0.1946, kb_relative_information_score: 23.4432, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5973, predictive_accuracy: 0.5973, prior_entropy: 1, recall: 0.5973, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9941, scimark_benchmark: 1293.8471, usercpu_time_millis: 65.532, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 65.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6297, f_measure: 0.6015, kappa: 0.2031, kb_relative_information_score: 142.6385, mean_absolute_error: 0.4787, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6015, predictive_accuracy: 0.6015, prior_entropy: 1, recall: 0.6015, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9756, scimark_benchmark: 1293.7413, usercpu_time_millis: 526.623, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 526.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6193, f_measure: 0.5977, kappa: 0.1954, kb_relative_information_score: 185.2666, mean_absolute_error: 0.4708, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5977, predictive_accuracy: 0.5977, prior_entropy: 1, recall: 0.5977, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.491, root_relative_squared_error: 0.982, scimark_benchmark: 1293.3341, usercpu_time_millis: 1527.546, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 1527.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.7242, kappa: 0.4485, kb_relative_information_score: 1033.5303, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7243, predictive_accuracy: 0.7242, prior_entropy: 1, recall: 0.7242, relative_absolute_error: 0.615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.8906, scimark_benchmark: 1271.017, usercpu_time_millis: 3122.792, usercpu_time_millis_testing: 3.35, usercpu_time_millis_training: 3119.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6299, f_measure: 0.5985, kappa: 0.1969, kb_relative_information_score: 146.4702, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5985, predictive_accuracy: 0.5985, prior_entropy: 1, recall: 0.5985, relative_absolute_error: 0.9562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4876, root_relative_squared_error: 0.9752, scimark_benchmark: 1267.5787, usercpu_time_millis: 635.263, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 635.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, f_measure: 0.578, kappa: 0.1838, kb_relative_information_score: 4.6749, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6059, predictive_accuracy: 0.5919, prior_entropy: 1, recall: 0.5919, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9988, scimark_benchmark: 1271.0703, usercpu_time_millis: 75.327, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 75.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.5973, kappa: 0.1946, kb_relative_information_score: 46.0874, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5973, predictive_accuracy: 0.5973, prior_entropy: 1, recall: 0.5973, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.989, scimark_benchmark: 1256.3036, usercpu_time_millis: 883.855, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 883.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.63, f_measure: 0.5988, kappa: 0.1977, kb_relative_information_score: 178.7483, mean_absolute_error: 0.4724, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5989, predictive_accuracy: 0.5988, prior_entropy: 1, recall: 0.5988, relative_absolute_error: 0.9449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4875, root_relative_squared_error: 0.975, scimark_benchmark: 1271.8183, usercpu_time_millis: 2779.449, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 2779.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6057, f_measure: 0.5796, kappa: 0.1592, kb_relative_information_score: 193.1334, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5796, predictive_accuracy: 0.5796, prior_entropy: 1, recall: 0.5796, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9958, scimark_benchmark: 1259.4081, usercpu_time_millis: 1426.765, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 1426.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5898, f_measure: 0.5631, kappa: 0.1262, kb_relative_information_score: 195.8129, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5631, predictive_accuracy: 0.5631, prior_entropy: 1, recall: 0.5631, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.0217, scimark_benchmark: 1292.243, usercpu_time_millis: 554.57, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 554.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.6775, kappa: 0.3554, kb_relative_information_score: 367.5519, mean_absolute_error: 0.4426, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6782, predictive_accuracy: 0.6777, prior_entropy: 1, recall: 0.6777, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9138, scimark_benchmark: 1297.9301, usercpu_time_millis: 1444.91, usercpu_time_millis_testing: 1.771, usercpu_time_millis_training: 1443.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.594, f_measure: 0.5676, kappa: 0.1354, kb_relative_information_score: 196.7581, mean_absolute_error: 0.467, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5677, predictive_accuracy: 0.5677, prior_entropy: 1, recall: 0.5677, relative_absolute_error: 0.934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5073, root_relative_squared_error: 1.0145, scimark_benchmark: 1281.6123, usercpu_time_millis: 1941.363, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 1941.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6362, f_measure: 0.5981, kappa: 0.1962, kb_relative_information_score: 448.9632, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5981, predictive_accuracy: 0.5981, prior_entropy: 1, recall: 0.5981, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5481, root_relative_squared_error: 1.0963, scimark_benchmark: 1273.8861, usercpu_time_millis: 1903.476, usercpu_time_millis_testing: 2.469, usercpu_time_millis_training: 1901.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.632, f_measure: 0.6019, kappa: 0.2038, kb_relative_information_score: 160.5019, mean_absolute_error: 0.4757, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6019, predictive_accuracy: 0.6019, prior_entropy: 1, recall: 0.6019, relative_absolute_error: 0.9515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4871, root_relative_squared_error: 0.9741, scimark_benchmark: 1275.2255, usercpu_time_millis: 2526.134, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 2525.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6015, f_measure: 0.5672, kappa: 0.1346, kb_relative_information_score: 194.0642, mean_absolute_error: 0.4681, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5674, predictive_accuracy: 0.5673, prior_entropy: 1, recall: 0.5673, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1300.4938, usercpu_time_millis: 1439.908, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1439.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.6611, kappa: 0.3223, kb_relative_information_score: 446.0807, mean_absolute_error: 0.4268, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6612, predictive_accuracy: 0.6612, prior_entropy: 1, recall: 0.6612, relative_absolute_error: 0.8536, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9099, scimark_benchmark: 1272.4492, usercpu_time_millis: 395.42, usercpu_time_millis_testing: 0.871, usercpu_time_millis_training: 394.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1268.1918, usercpu_time_millis: 1289.59, usercpu_time_millis_testing: 1.083, usercpu_time_millis_training: 1288.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.6058, kappa: 0.2115, kb_relative_information_score: 175.2687, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6058, predictive_accuracy: 0.6058, prior_entropy: 1, recall: 0.6058, relative_absolute_error: 0.9462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.487, root_relative_squared_error: 0.9741, scimark_benchmark: 1296.1408, usercpu_time_millis: 1180.605, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 1180.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5851, f_measure: 0.565, kappa: 0.13, kb_relative_information_score: 201.9156, mean_absolute_error: 0.4652, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.565, predictive_accuracy: 0.565, prior_entropy: 1, recall: 0.565, relative_absolute_error: 0.9304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0393, scimark_benchmark: 1273.9621, usercpu_time_millis: 1327.108, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 1326.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, f_measure: 0.6069, kappa: 0.2138, kb_relative_information_score: 218.1867, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6069, predictive_accuracy: 0.6069, prior_entropy: 1, recall: 0.6069, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4876, root_relative_squared_error: 0.9752, scimark_benchmark: 1251.3829, usercpu_time_millis: 264.666, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 263.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.632, f_measure: 0.6042, kappa: 0.2085, kb_relative_information_score: 173.1882, mean_absolute_error: 0.4735, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6042, predictive_accuracy: 0.6042, prior_entropy: 1, recall: 0.6042, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9739, scimark_benchmark: 1294.3792, usercpu_time_millis: 2195.732, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 2195.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.5657, kappa: 0.1315, kb_relative_information_score: 196.0029, mean_absolute_error: 0.4673, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5658, predictive_accuracy: 0.5658, prior_entropy: 1, recall: 0.5658, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5051, root_relative_squared_error: 1.0101, scimark_benchmark: 1286.783, usercpu_time_millis: 1363.151, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1362.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6307, f_measure: 0.6035, kappa: 0.2069, kb_relative_information_score: 178.2188, mean_absolute_error: 0.4725, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6035, predictive_accuracy: 0.6035, prior_entropy: 1, recall: 0.6035, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4873, root_relative_squared_error: 0.9746, scimark_benchmark: 1294.6314, usercpu_time_millis: 1566.938, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 1566.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.6486, kappa: 0.3, kb_relative_information_score: 202.9357, mean_absolute_error: 0.4702, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6524, predictive_accuracy: 0.65, prior_entropy: 1, recall: 0.65, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.9518, scimark_benchmark: 1297.601, usercpu_time_millis: 1026.747, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 1026.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1268.5615, usercpu_time_millis: 1366.698, usercpu_time_millis_testing: 1.14, usercpu_time_millis_training: 1365.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5859, f_measure: 0.5642, kappa: 0.1285, kb_relative_information_score: 206.4877, mean_absolute_error: 0.4644, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5642, predictive_accuracy: 0.5642, prior_entropy: 1, recall: 0.5642, relative_absolute_error: 0.9289, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.52, root_relative_squared_error: 1.04, scimark_benchmark: 1269.0368, usercpu_time_millis: 1449.331, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 1449.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, f_measure: 0.5985, kappa: 0.1969, kb_relative_information_score: 58.6978, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5985, predictive_accuracy: 0.5985, prior_entropy: 1, recall: 0.5985, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.9865, scimark_benchmark: 1269.1661, usercpu_time_millis: 90.193, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 89.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6215, f_measure: 0.5946, kappa: 0.1892, kb_relative_information_score: 188.7507, mean_absolute_error: 0.4703, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5947, predictive_accuracy: 0.5946, prior_entropy: 1, recall: 0.5946, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4904, root_relative_squared_error: 0.9807, scimark_benchmark: 1273.2549, usercpu_time_millis: 1769.56, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 1769.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, f_measure: 0.5965, kappa: 0.1931, kb_relative_information_score: 72.9559, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5965, predictive_accuracy: 0.5965, prior_entropy: 1, recall: 0.5965, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.492, root_relative_squared_error: 0.9839, scimark_benchmark: 1255.1455, usercpu_time_millis: 950.369, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 950.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.6145, kappa: 0.23, kb_relative_information_score: 6.9492, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6155, predictive_accuracy: 0.615, prior_entropy: 1, recall: 0.615, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9982, scimark_benchmark: 1293.4531, usercpu_time_millis: 318.675, usercpu_time_millis_testing: 0.746, usercpu_time_millis_training: 317.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.613, kappa: 0.2262, kb_relative_information_score: 134.6706, mean_absolute_error: 0.4805, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6132, predictive_accuracy: 0.6131, prior_entropy: 1, recall: 0.6131, relative_absolute_error: 0.961, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9715, scimark_benchmark: 1298.2894, usercpu_time_millis: 1731.105, usercpu_time_millis_testing: 1.52, usercpu_time_millis_training: 1729.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6193, f_measure: 0.593, kappa: 0.1862, kb_relative_information_score: 189.8657, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5931, predictive_accuracy: 0.5931, prior_entropy: 1, recall: 0.5931, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9825, scimark_benchmark: 1291.5802, usercpu_time_millis: 2288.323, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 2287.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1297.34, usercpu_time_millis: 363.059, usercpu_time_millis_testing: 0.568, usercpu_time_millis_training: 362.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, f_measure: 0.5926, kappa: 0.1854, kb_relative_information_score: 188.9108, mean_absolute_error: 0.4702, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5927, predictive_accuracy: 0.5927, prior_entropy: 1, recall: 0.5927, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4904, root_relative_squared_error: 0.9807, scimark_benchmark: 1299.6388, usercpu_time_millis: 1083.502, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 1083.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6316, f_measure: 0.6027, kappa: 0.2054, kb_relative_information_score: 156.178, mean_absolute_error: 0.4765, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6027, predictive_accuracy: 0.6027, prior_entropy: 1, recall: 0.6027, relative_absolute_error: 0.953, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4872, root_relative_squared_error: 0.9745, scimark_benchmark: 1295.4722, usercpu_time_millis: 298.456, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 298.223,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.6238, kappa: 0.2477, kb_relative_information_score: 88.0956, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6239, predictive_accuracy: 0.6238, prior_entropy: 1, recall: 0.6238, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.489, root_relative_squared_error: 0.9779, scimark_benchmark: 1270.091, usercpu_time_millis: 1657.178, usercpu_time_millis_testing: 3.388, usercpu_time_millis_training: 1653.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5911, f_measure: 0.5696, kappa: 0.1392, kb_relative_information_score: 211.9892, mean_absolute_error: 0.4638, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5696, predictive_accuracy: 0.5696, prior_entropy: 1, recall: 0.5696, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0308, scimark_benchmark: 1290.9804, usercpu_time_millis: 2050.711, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 2050.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.6611, kappa: 0.3292, kb_relative_information_score: 268.5765, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6718, predictive_accuracy: 0.6646, prior_entropy: 1, recall: 0.6646, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.9353, scimark_benchmark: 1286.9024, usercpu_time_millis: 1095.971, usercpu_time_millis_testing: 1.236, usercpu_time_millis_training: 1094.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.5681, kappa: 0.1362, kb_relative_information_score: 195.156, mean_absolute_error: 0.4673, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5681, predictive_accuracy: 0.5681, prior_entropy: 1, recall: 0.5681, relative_absolute_error: 0.9345, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.507, root_relative_squared_error: 1.0141, scimark_benchmark: 1289.2499, usercpu_time_millis: 518.269, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 518.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.6711, kappa: 0.3423, kb_relative_information_score: 727.4682, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6712, predictive_accuracy: 0.6712, prior_entropy: 1, recall: 0.6712, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.938, scimark_benchmark: 1268.9648, usercpu_time_millis: 2883.667, usercpu_time_millis_testing: 1.896, usercpu_time_millis_training: 2881.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1285.8397, usercpu_time_millis: 1242.193, usercpu_time_millis_testing: 1.093, usercpu_time_millis_training: 1241.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.5615, kappa: 0.1231, kb_relative_information_score: 197.2256, mean_absolute_error: 0.4665, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5615, predictive_accuracy: 0.5615, prior_entropy: 1, recall: 0.5615, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5118, root_relative_squared_error: 1.0236, scimark_benchmark: 1282.6777, usercpu_time_millis: 814.347, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 813.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.6365, kappa: 0.2731, kb_relative_information_score: 657.36, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6365, predictive_accuracy: 0.6365, prior_entropy: 1, recall: 0.6365, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.0252, scimark_benchmark: 1269.8528, usercpu_time_millis: 1590.856, usercpu_time_millis_testing: 1.545, usercpu_time_millis_training: 1589.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.6818, kappa: 0.3638, kb_relative_information_score: 498.1326, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6822, predictive_accuracy: 0.6819, prior_entropy: 1, recall: 0.6819, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8914, scimark_benchmark: 1273.6778, usercpu_time_millis: 4535.426, usercpu_time_millis_testing: 2.784, usercpu_time_millis_training: 4532.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.5958, kappa: 0.1915, kb_relative_information_score: 107.5134, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5958, predictive_accuracy: 0.5958, prior_entropy: 1, recall: 0.5958, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4895, root_relative_squared_error: 0.979, scimark_benchmark: 1287.201, usercpu_time_millis: 1196.068, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 1195.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.6111, kappa: 0.2223, kb_relative_information_score: 248.4782, mean_absolute_error: 0.4607, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6112, predictive_accuracy: 0.6112, prior_entropy: 1, recall: 0.6112, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4817, root_relative_squared_error: 0.9634, scimark_benchmark: 1262.5825, usercpu_time_millis: 1972.477, usercpu_time_millis_testing: 2.103, usercpu_time_millis_training: 1970.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6169, f_measure: 0.5888, kappa: 0.1777, kb_relative_information_score: 190.8605, mean_absolute_error: 0.4696, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5889, predictive_accuracy: 0.5888, prior_entropy: 1, recall: 0.5888, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4923, root_relative_squared_error: 0.9845, scimark_benchmark: 1257.7662, usercpu_time_millis: 2452.568, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 2452.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.7238, kappa: 0.4477, kb_relative_information_score: 690.3585, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7239, predictive_accuracy: 0.7238, prior_entropy: 1, recall: 0.7238, relative_absolute_error: 0.766, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.8502, scimark_benchmark: 1291.5286, usercpu_time_millis: 3207.647, usercpu_time_millis_testing: 2.658, usercpu_time_millis_training: 3204.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, f_measure: 0.6019, kappa: 0.2038, kb_relative_information_score: 134.2781, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6019, predictive_accuracy: 0.6019, prior_entropy: 1, recall: 0.6019, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.9763, scimark_benchmark: 1267.5469, usercpu_time_millis: 1415.939, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 1415.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6289, f_measure: 0.6015, kappa: 0.2031, kb_relative_information_score: 138.7603, mean_absolute_error: 0.4794, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6015, predictive_accuracy: 0.6015, prior_entropy: 1, recall: 0.6015, relative_absolute_error: 0.9587, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9759, scimark_benchmark: 1284.4084, usercpu_time_millis: 2712.566, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 2712.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, f_measure: 0.6734, kappa: 0.3469, kb_relative_information_score: 448.1479, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6737, predictive_accuracy: 0.6735, prior_entropy: 1, recall: 0.6735, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9076, scimark_benchmark: 1274.7988, usercpu_time_millis: 233.228, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 232.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6311, f_measure: 0.6035, kappa: 0.2069, kb_relative_information_score: 177.3691, mean_absolute_error: 0.4727, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6035, predictive_accuracy: 0.6035, prior_entropy: 1, recall: 0.6035, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4872, root_relative_squared_error: 0.9745, scimark_benchmark: 1281.5901, usercpu_time_millis: 1767.662, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 1767.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.587, f_measure: 0.5696, kappa: 0.1392, kb_relative_information_score: 201.6349, mean_absolute_error: 0.4654, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5696, predictive_accuracy: 0.5696, prior_entropy: 1, recall: 0.5696, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5166, root_relative_squared_error: 1.0333, scimark_benchmark: 1286.3663, usercpu_time_millis: 1892.1, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 1891.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.593, kappa: 0.1862, kb_relative_information_score: 188.7522, mean_absolute_error: 0.4703, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5931, predictive_accuracy: 0.5931, prior_entropy: 1, recall: 0.5931, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9806, scimark_benchmark: 1281.5811, usercpu_time_millis: 1198.15, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 1197.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7465, kappa: 0.4931, kb_relative_information_score: 938.0304, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7467, predictive_accuracy: 0.7465, prior_entropy: 1, recall: 0.7465, relative_absolute_error: 0.6655, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8279, scimark_benchmark: 1279.1847, usercpu_time_millis: 5232.422, usercpu_time_millis_testing: 3.359, usercpu_time_millis_training: 5229.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5973, f_measure: 0.5761, kappa: 0.1523, kb_relative_information_score: 284.9409, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5762, predictive_accuracy: 0.5762, prior_entropy: 1, recall: 0.5762, relative_absolute_error: 0.8976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5406, root_relative_squared_error: 1.0813, scimark_benchmark: 1283.3928, usercpu_time_millis: 1716.569, usercpu_time_millis_testing: 1.203, usercpu_time_millis_training: 1715.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6181, f_measure: 0.5911, kappa: 0.1823, kb_relative_information_score: 190.4505, mean_absolute_error: 0.4698, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5912, predictive_accuracy: 0.5912, prior_entropy: 1, recall: 0.5912, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9836, scimark_benchmark: 1283.17, usercpu_time_millis: 2439.238, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 2438.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5838, f_measure: 0.5696, kappa: 0.1392, kb_relative_information_score: 206.5239, mean_absolute_error: 0.4643, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5696, predictive_accuracy: 0.5696, prior_entropy: 1, recall: 0.5696, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5234, root_relative_squared_error: 1.0468, scimark_benchmark: 1276.4178, usercpu_time_millis: 1845.484, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 1845.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5851, f_measure: 0.5619, kappa: 0.1238, kb_relative_information_score: 200.9228, mean_absolute_error: 0.4654, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5619, predictive_accuracy: 0.5619, prior_entropy: 1, recall: 0.5619, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5191, root_relative_squared_error: 1.0382, scimark_benchmark: 1300.4627, usercpu_time_millis: 1179.06, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 1178.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1296.6432, usercpu_time_millis: 2268.969, usercpu_time_millis_testing: 1.212, usercpu_time_millis_training: 2267.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5175, f_measure: 0.3824, kappa: 0.0162, kb_relative_information_score: 0.0006, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5435, predictive_accuracy: 0.5081, prior_entropy: 1, recall: 0.5081, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1275.528, usercpu_time_millis: 2102.495, usercpu_time_millis_testing: 1.116, usercpu_time_millis_training: 2101.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6429, kappa: 0.2885, kb_relative_information_score: 235.4338, mean_absolute_error: 0.4649, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6464, predictive_accuracy: 0.6442, prior_entropy: 1, recall: 0.6442, relative_absolute_error: 0.9297, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4721, root_relative_squared_error: 0.9443, scimark_benchmark: 1298.6039, usercpu_time_millis: 1245.878, usercpu_time_millis_testing: 1.178, usercpu_time_millis_training: 1244.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.5765, kappa: 0.1531, kb_relative_information_score: 192.2797, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5766, predictive_accuracy: 0.5765, prior_entropy: 1, recall: 0.5765, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9956, scimark_benchmark: 1274.2799, usercpu_time_millis: 1275.477, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 1275.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5982, f_measure: 0.5672, kappa: 0.1346, kb_relative_information_score: 195.1227, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5674, predictive_accuracy: 0.5673, prior_entropy: 1, recall: 0.5673, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0065, scimark_benchmark: 1294.2539, usercpu_time_millis: 2002.356, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 2002.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.5677, kappa: 0.1354, kb_relative_information_score: 199.3615, mean_absolute_error: 0.4661, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5677, predictive_accuracy: 0.5677, prior_entropy: 1, recall: 0.5677, relative_absolute_error: 0.9322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0253, scimark_benchmark: 1269.1874, usercpu_time_millis: 1942.527, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 1942.276,

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