OpenML
Supervised Classification on yeast

Supervised Classification on yeast

Task 2938 Supervised Classification yeast 195 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.5704, kappa: 0.4535, kb_relative_information_score: 6539.707, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5691, predictive_accuracy: 0.5797, prior_entropy: 2.5035, recall: 0.5797, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.8481, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.6087, kappa: 0.5018, kb_relative_information_score: 7184.8047, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.6085, predictive_accuracy: 0.6177, prior_entropy: 2.5035, recall: 0.6177, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.8201, scimark_benchmark: 1281.7531, usercpu_time_millis: 1080, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7416, f_measure: 0.5612, kappa: 0.4407, kb_relative_information_score: 6890.6847, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5573, predictive_accuracy: 0.5681, prior_entropy: 2.5035, recall: 0.5681, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.9551, scimark_benchmark: 918.0213, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.5704, kappa: 0.4535, kb_relative_information_score: 6539.707, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5691, predictive_accuracy: 0.5797, prior_entropy: 2.5035, recall: 0.5797, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.8481, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.5615, kappa: 0.4437, kb_relative_information_score: 6208.5004, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5704, predictive_accuracy: 0.5742, prior_entropy: 2.5035, recall: 0.5742, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.8689, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.5681, kappa: 0.4512, kb_relative_information_score: 6527.9005, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.566, predictive_accuracy: 0.577, prior_entropy: 2.5035, recall: 0.577, relative_absolute_error: 0.707, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.8508, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.5704, kappa: 0.4535, kb_relative_information_score: 6539.707, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5691, predictive_accuracy: 0.5797, prior_entropy: 2.5035, recall: 0.5797, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.8481, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.5704, kappa: 0.4535, kb_relative_information_score: 6539.707, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5691, predictive_accuracy: 0.5797, prior_entropy: 2.5035, recall: 0.5797, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.8481, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.5615, kappa: 0.4437, kb_relative_information_score: 6208.5004, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5704, predictive_accuracy: 0.5742, prior_entropy: 2.5035, recall: 0.5742, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.8689, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.5681, kappa: 0.4512, kb_relative_information_score: 6527.9005, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.566, predictive_accuracy: 0.577, prior_entropy: 2.5035, recall: 0.577, relative_absolute_error: 0.707, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.8508, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.5704, kappa: 0.4535, kb_relative_information_score: 6539.707, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5691, predictive_accuracy: 0.5797, prior_entropy: 2.5035, recall: 0.5797, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.8481, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.5704, kappa: 0.4535, kb_relative_information_score: 6539.707, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5691, predictive_accuracy: 0.5797, prior_entropy: 2.5035, recall: 0.5797, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.8481, scimark_benchmark: 1354.7191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.5269, kappa: 0.3917, kb_relative_information_score: 6291.1421, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5254, predictive_accuracy: 0.5311, prior_entropy: 2.5035, recall: 0.5311, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.9996, scimark_benchmark: 1334.6745, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.5615, kappa: 0.4437, kb_relative_information_score: 6208.5004, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5704, predictive_accuracy: 0.5742, prior_entropy: 2.5035, recall: 0.5742, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.8689, scimark_benchmark: 1151.6869, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.538, kappa: 0.3985, kb_relative_information_score: 6592.9349, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5429, predictive_accuracy: 0.5415, prior_entropy: 2.5035, recall: 0.5415, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.8995, scimark_benchmark: 1151.6869, usercpu_time_millis: 5540, usercpu_time_millis_testing: 5540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.5479, kappa: 0.4216, kb_relative_information_score: 6082.2729, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5584, predictive_accuracy: 0.5612, prior_entropy: 2.5035, recall: 0.5612, relative_absolute_error: 0.6797, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.9195, scimark_benchmark: 1327.2954, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.4913, kappa: 0.3439, kb_relative_information_score: 5869.492, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.4922, predictive_accuracy: 0.4907, prior_entropy: 2.5035, recall: 0.4907, relative_absolute_error: 0.655, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3192, root_relative_squared_error: 1.1451, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.5662, kappa: 0.4476, kb_relative_information_score: 6461.8174, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5726, predictive_accuracy: 0.5778, prior_entropy: 2.5035, recall: 0.5778, relative_absolute_error: 0.7029, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.8589, scimark_benchmark: 1227.9507, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.6023, kappa: 0.4953, kb_relative_information_score: 4950.884, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.6131, predictive_accuracy: 0.6152, prior_entropy: 2.5035, recall: 0.6152, relative_absolute_error: 0.8332, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.8704, scimark_benchmark: 1333.8751, usercpu_time_millis: 1270, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.597, f_measure: 0.3585, kappa: 0.2049, kb_relative_information_score: 3913.3819, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.4964, predictive_accuracy: 0.4301, prior_entropy: 2.5035, recall: 0.4301, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3376, root_relative_squared_error: 1.2114, scimark_benchmark: 915.9324, usercpu_time_millis: 600, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.717, f_measure: 0.5652, kappa: 0.4501, kb_relative_information_score: 7237.9427, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5876, predictive_accuracy: 0.5827, prior_entropy: 2.5035, recall: 0.5827, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2889, root_relative_squared_error: 1.0365, scimark_benchmark: 1327.035, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.5662, kappa: 0.4476, kb_relative_information_score: 6461.8174, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5726, predictive_accuracy: 0.5778, prior_entropy: 2.5035, recall: 0.5778, relative_absolute_error: 0.7029, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.8589, scimark_benchmark: 1331.2332, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.5794, kappa: 0.4597, kb_relative_information_score: 6974.583, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5782, predictive_accuracy: 0.5834, prior_entropy: 2.5035, recall: 0.5834, relative_absolute_error: 0.6366, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.8666, scimark_benchmark: 1331.5882, usercpu_time_millis: 2790, usercpu_time_millis_training: 2790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.5717, kappa: 0.4545, kb_relative_information_score: 6529.7174, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5714, predictive_accuracy: 0.5811, prior_entropy: 2.5035, recall: 0.5811, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.8472, scimark_benchmark: 937.1527, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.5615, kappa: 0.4437, kb_relative_information_score: 6208.5004, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5704, predictive_accuracy: 0.5742, prior_entropy: 2.5035, recall: 0.5742, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.8689, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.61, kappa: 0.507, kb_relative_information_score: 6918.6112, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.6119, predictive_accuracy: 0.6216, prior_entropy: 2.5035, recall: 0.6216, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.8195, scimark_benchmark: 1325.2932, usercpu_time_millis: 780, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.5615, kappa: 0.4437, kb_relative_information_score: 6208.5004, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5704, predictive_accuracy: 0.5742, prior_entropy: 2.5035, recall: 0.5742, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.8689, scimark_benchmark: 1322.4968, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6244, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 2896.5234, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.9503, scimark_benchmark: 1308.3432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.5946, kappa: 0.4857, kb_relative_information_score: 4965.033, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.606, predictive_accuracy: 0.6086, prior_entropy: 2.5035, recall: 0.6086, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.8709, scimark_benchmark: 961.21, usercpu_time_millis: 330, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.5279, kappa: 0.392, kb_relative_information_score: 6642.3442, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5283, predictive_accuracy: 0.5286, prior_entropy: 2.5035, recall: 0.5286, relative_absolute_error: 0.6103, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3059, root_relative_squared_error: 1.0977, scimark_benchmark: 904.3681, usercpu_time_millis: 120, usercpu_time_millis_testing: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.5698, kappa: 0.4478, kb_relative_information_score: 7259.3195, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5696, predictive_accuracy: 0.5786, prior_entropy: 2.5035, recall: 0.5786, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2903, root_relative_squared_error: 1.0417, scimark_benchmark: 1346.3935, usercpu_time_millis: 26890, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 26820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, f_measure: 0.2432, kappa: 0.1849, kb_relative_information_score: 2897.2295, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.1749, predictive_accuracy: 0.4065, prior_entropy: 2.5035, recall: 0.4065, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.265, root_relative_squared_error: 0.9508, scimark_benchmark: 1337.6765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7766, f_measure: 0.5716, kappa: 0.4495, kb_relative_information_score: 6092.4896, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5804, predictive_accuracy: 0.5807, prior_entropy: 2.5035, recall: 0.5807, relative_absolute_error: 0.709, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.242, root_relative_squared_error: 0.8684, scimark_benchmark: 1301.2156, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.5708, kappa: 0.4576, kb_relative_information_score: 7637.2089, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5708, predictive_accuracy: 0.5823, prior_entropy: 2.5035, recall: 0.5823, relative_absolute_error: 0.558, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.9621, scimark_benchmark: 1341.4981, usercpu_time_millis: 1040, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.5934, kappa: 0.4794, kb_relative_information_score: 7040.2361, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5909, predictive_accuracy: 0.5994, prior_entropy: 2.5035, recall: 0.5994, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.8491, scimark_benchmark: 1341.4232, usercpu_time_millis: 1220, usercpu_time_millis_training: 1220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.601, kappa: 0.4901, kb_relative_information_score: 7033.501, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5991, predictive_accuracy: 0.6084, prior_entropy: 2.5035, recall: 0.6084, relative_absolute_error: 0.653, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.8319, scimark_benchmark: 1311.1837, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.5269, kappa: 0.3917, kb_relative_information_score: 6291.1421, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5254, predictive_accuracy: 0.5311, prior_entropy: 2.5035, recall: 0.5311, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.9996, scimark_benchmark: 1315.3709, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.717, f_measure: 0.5651, kappa: 0.4501, kb_relative_information_score: 7237.8924, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5877, predictive_accuracy: 0.5827, prior_entropy: 2.5035, recall: 0.5827, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2889, root_relative_squared_error: 1.0365, scimark_benchmark: 935.5075, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.5681, kappa: 0.4512, kb_relative_information_score: 6527.9005, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.566, predictive_accuracy: 0.577, prior_entropy: 2.5035, recall: 0.577, relative_absolute_error: 0.707, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.8508, scimark_benchmark: 1331.6907, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.5678, kappa: 0.45, kb_relative_information_score: 6455.9832, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5671, predictive_accuracy: 0.5768, prior_entropy: 2.5035, recall: 0.5768, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.8517, scimark_benchmark: 1315.3881, usercpu_time_millis: 490, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.6087, kappa: 0.5018, kb_relative_information_score: 7184.8047, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.6085, predictive_accuracy: 0.6177, prior_entropy: 2.5035, recall: 0.6177, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.8201, scimark_benchmark: 1318.5526, usercpu_time_millis: 780, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.5107, kappa: 0.37, kb_relative_information_score: 6209.6175, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5111, predictive_accuracy: 0.5104, prior_entropy: 2.5035, recall: 0.5104, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3129, root_relative_squared_error: 1.1227, scimark_benchmark: 825.5282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.5611, kappa: 0.4438, kb_relative_information_score: 6409.3023, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5643, predictive_accuracy: 0.5732, prior_entropy: 2.5035, recall: 0.5732, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.8785, scimark_benchmark: 1325.942, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.5686, kappa: 0.4537, kb_relative_information_score: 6044.3149, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5724, predictive_accuracy: 0.5817, prior_entropy: 2.5035, recall: 0.5817, relative_absolute_error: 0.7182, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.8691, scimark_benchmark: 1359.379, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.5375, kappa: 0.4095, kb_relative_information_score: 6799.0102, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5376, predictive_accuracy: 0.5396, prior_entropy: 2.5035, recall: 0.5396, relative_absolute_error: 0.5921, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3034, root_relative_squared_error: 1.0887, scimark_benchmark: 1442.7264, usercpu_time_millis: 260, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5493, f_measure: 0.296, kappa: 0.1064, kb_relative_information_score: 2909.3333, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.3622, predictive_accuracy: 0.3553, prior_entropy: 2.5035, recall: 0.3553, relative_absolute_error: 0.8291, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3591, root_relative_squared_error: 1.2884, scimark_benchmark: 1368.9272, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.5462, kappa: 0.4175, kb_relative_information_score: 6714.0537, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5438, predictive_accuracy: 0.5493, prior_entropy: 2.5035, recall: 0.5493, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.9762, scimark_benchmark: 1339.4189, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5829, f_measure: 0.3187, kappa: 0.1791, kb_relative_information_score: 3701.0371, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.2798, predictive_accuracy: 0.3972, prior_entropy: 2.5035, recall: 0.3972, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3472, root_relative_squared_error: 1.2458, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.5216, kappa: 0.3885, kb_relative_information_score: 6456.4544, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5265, predictive_accuracy: 0.5202, prior_entropy: 2.5035, recall: 0.5202, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.1114, scimark_benchmark: 1466.6185, usercpu_time_millis: 1860, usercpu_time_millis_training: 1860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.1484, kb_relative_information_score: 6.2504, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 2.5035, recall: 0.312, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2787, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.5597, kappa: 0.4382, kb_relative_information_score: 6862.9491, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5559, predictive_accuracy: 0.5663, prior_entropy: 2.5035, recall: 0.5663, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.9564, scimark_benchmark: 1028.5889, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, build_cpu_time: 31.2114, build_memory: 1188030836.9828, f_measure: 0.5982, kappa: 0.4869, kb_relative_information_score: 6859.7975, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.6006, predictive_accuracy: 0.6069, prior_entropy: 2.5035, recall: 0.6069, relative_absolute_error: 0.6786, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.8213, scimark_benchmark: 730.3724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, build_cpu_time: 22.425, build_memory: 398941200.3078, f_measure: 0.5982, kappa: 0.4869, kb_relative_information_score: 6859.7975, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.6006, predictive_accuracy: 0.6069, prior_entropy: 2.5035, recall: 0.6069, relative_absolute_error: 0.6786, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.8213, scimark_benchmark: 945.4441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, build_cpu_time: 44.895, build_memory: 992040577.7558, f_measure: 0.599, kappa: 0.4882, kb_relative_information_score: 6851.0372, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.6017, predictive_accuracy: 0.608, prior_entropy: 2.5035, recall: 0.608, relative_absolute_error: 0.6791, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.8204, scimark_benchmark: 943.3428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, build_cpu_time: 5.0607, build_memory: 595894839.2054, f_measure: 0.6137, kappa: 0.5092, kb_relative_information_score: 7281.0963, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.6128, predictive_accuracy: 0.6227, prior_entropy: 2.5035, recall: 0.6227, relative_absolute_error: 0.6459, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8178, scimark_benchmark: 946.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, build_cpu_time: 2.4422, build_memory: 1151402164.2248, f_measure: 0.6101, kappa: 0.5041, kb_relative_information_score: 7258.1062, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.6109, predictive_accuracy: 0.6187, prior_entropy: 2.5035, recall: 0.6187, relative_absolute_error: 0.6467, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.8204, scimark_benchmark: 943.8169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, build_cpu_time: 1.2971, build_memory: 234271919.662, f_measure: 0.6075, kappa: 0.5005, kb_relative_information_score: 7254.5595, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.6062, predictive_accuracy: 0.6159, prior_entropy: 2.5035, recall: 0.6159, relative_absolute_error: 0.6466, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.824, scimark_benchmark: 905.0695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, build_cpu_time: 0.6473, build_memory: 4023894852.1531, f_measure: 0.6001, kappa: 0.4907, kb_relative_information_score: 7237.9103, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5982, predictive_accuracy: 0.6082, prior_entropy: 2.5035, recall: 0.6082, relative_absolute_error: 0.647, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.8312, scimark_benchmark: 945.4428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, build_cpu_time: 0.6289, build_memory: 1895975296.5995, f_measure: 0.6001, kappa: 0.4907, kb_relative_information_score: 7237.9103, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5982, predictive_accuracy: 0.6082, prior_entropy: 2.5035, recall: 0.6082, relative_absolute_error: 0.647, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.8312, scimark_benchmark: 948.9109,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs