OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 3950 Supervised Classification musk 66544 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.1804, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1281.5109, usercpu_time_millis: 522.481, usercpu_time_millis_testing: 7.057, usercpu_time_millis_training: 515.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6537.9693, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0118, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0238, root_relative_squared_error: 0.066, scimark_benchmark: 1279.0911, usercpu_time_millis: 644.59, usercpu_time_millis_testing: 8.736, usercpu_time_millis_training: 635.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.1232, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0681, scimark_benchmark: 1225.4106, usercpu_time_millis: 173.377, usercpu_time_millis_testing: 3.271, usercpu_time_millis_training: 170.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6539.423, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0277, root_relative_squared_error: 0.0766, scimark_benchmark: 1269.6671, usercpu_time_millis: 135.14, usercpu_time_millis_testing: 4.997, usercpu_time_millis_training: 130.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.7332, mean_absolute_error: 0, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0004, root_relative_squared_error: 0.0011, scimark_benchmark: 1230.341, usercpu_time_millis: 462.512, usercpu_time_millis_testing: 7.155, usercpu_time_millis_training: 455.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.0574, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0248, root_relative_squared_error: 0.0686, scimark_benchmark: 1273.4675, usercpu_time_millis: 368.278, usercpu_time_millis_testing: 7.697, usercpu_time_millis_training: 360.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6419.2111, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0302, root_relative_squared_error: 0.0837, scimark_benchmark: 1224.5243, usercpu_time_millis: 507.876, usercpu_time_millis_testing: 9.014, usercpu_time_millis_training: 498.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6534.6984, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0149, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.01, root_relative_squared_error: 0.0276, scimark_benchmark: 1235.6287, usercpu_time_millis: 163.626, usercpu_time_millis_testing: 3.554, usercpu_time_millis_training: 160.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6588.8627, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.003, root_relative_squared_error: 0.0082, scimark_benchmark: 1227.7699, usercpu_time_millis: 31.283, usercpu_time_millis_testing: 1.218, usercpu_time_millis_training: 30.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.9065, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0027, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0245, root_relative_squared_error: 0.0679, scimark_benchmark: 1273.2511, usercpu_time_millis: 526.428, usercpu_time_millis_testing: 7.928, usercpu_time_millis_training: 518.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6545.2163, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0123, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.009, root_relative_squared_error: 0.0249, scimark_benchmark: 1270.3924, usercpu_time_millis: 118.731, usercpu_time_millis_testing: 2.424, usercpu_time_millis_training: 116.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9931, kappa: 0.9734, kb_relative_information_score: 5795.4949, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 0.6204, recall: 0.9932, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.2574, scimark_benchmark: 1232.1058, usercpu_time_millis: 300.195, usercpu_time_millis_testing: 13.085, usercpu_time_millis_training: 287.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6568.0428, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.025, root_relative_squared_error: 0.0692, scimark_benchmark: 1284.3456, usercpu_time_millis: 381.761, usercpu_time_millis_testing: 8.225, usercpu_time_millis_training: 373.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6570.479, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0248, root_relative_squared_error: 0.0686, scimark_benchmark: 1279.9631, usercpu_time_millis: 223.756, usercpu_time_millis_testing: 5.326, usercpu_time_millis_training: 218.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6592.1837, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0008, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0011, root_relative_squared_error: 0.003, scimark_benchmark: 1229.1792, usercpu_time_millis: 417.113, usercpu_time_millis_testing: 5.467, usercpu_time_millis_training: 411.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.8225, mean_absolute_error: 0, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0009, root_relative_squared_error: 0.0025, scimark_benchmark: 1276.4074, usercpu_time_millis: 116.872, usercpu_time_millis_testing: 2.229, usercpu_time_millis_training: 114.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6562.8818, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0057, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0676, scimark_benchmark: 1276.312, usercpu_time_millis: 326.991, usercpu_time_millis_testing: 6.676, usercpu_time_millis_training: 320.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6112.7437, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0588, root_relative_squared_error: 0.1629, scimark_benchmark: 1272.7884, usercpu_time_millis: 381.384, usercpu_time_millis_testing: 12.305, usercpu_time_millis_training: 369.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.9331, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1274.2869, usercpu_time_millis: 476.748, usercpu_time_millis_testing: 6.258, usercpu_time_millis_training: 470.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.9533, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0248, root_relative_squared_error: 0.0686, scimark_benchmark: 1236.316, usercpu_time_millis: 204.969, usercpu_time_millis_testing: 4.31, usercpu_time_millis_training: 200.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 5911.9179, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.2089, scimark_benchmark: 1235.6822, usercpu_time_millis: 84.862, usercpu_time_millis_testing: 3.762, usercpu_time_millis_training: 81.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.987, kappa: 0.9495, kb_relative_information_score: 5475.129, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9874, predictive_accuracy: 0.9873, prior_entropy: 0.6204, recall: 0.9873, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.3198, scimark_benchmark: 1270.1154, usercpu_time_millis: 357.673, usercpu_time_millis_testing: 18.647, usercpu_time_millis_training: 339.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6341.914, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0363, root_relative_squared_error: 0.1005, scimark_benchmark: 1269.7699, usercpu_time_millis: 431.319, usercpu_time_millis_testing: 11.004, usercpu_time_millis_training: 420.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 5997.3805, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.125, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.2013, scimark_benchmark: 1220.7757, usercpu_time_millis: 158.294, usercpu_time_millis_testing: 5.089, usercpu_time_millis_training: 153.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.5474, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0028, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0248, root_relative_squared_error: 0.0686, scimark_benchmark: 1277.4433, usercpu_time_millis: 364.848, usercpu_time_millis_testing: 6.952, usercpu_time_millis_training: 357.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.3074, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0028, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1244.7058, usercpu_time_millis: 410.369, usercpu_time_millis_testing: 6.032, usercpu_time_millis_training: 404.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.2273, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1234.5451, usercpu_time_millis: 431.768, usercpu_time_millis_testing: 6.665, usercpu_time_millis_training: 425.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6034.7092, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.1885, scimark_benchmark: 1225.9571, usercpu_time_millis: 258.868, usercpu_time_millis_testing: 8.793, usercpu_time_millis_training: 250.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6576.0174, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0048, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0042, root_relative_squared_error: 0.0116, scimark_benchmark: 1274.7601, usercpu_time_millis: 131.833, usercpu_time_millis_testing: 2.302, usercpu_time_millis_training: 129.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6441.7261, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0325, root_relative_squared_error: 0.0899, scimark_benchmark: 1277.5132, usercpu_time_millis: 138.463, usercpu_time_millis_testing: 6.233, usercpu_time_millis_training: 132.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.3167, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1280.1346, usercpu_time_millis: 18.373, usercpu_time_millis_testing: 1.178, usercpu_time_millis_training: 17.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6593.2281, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0037, root_relative_squared_error: 0.0104, scimark_benchmark: 1222.4167, usercpu_time_millis: 48.238, usercpu_time_millis_testing: 1.597, usercpu_time_millis_training: 46.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6522.1298, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0179, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.013, root_relative_squared_error: 0.036, scimark_benchmark: 1247.4905, usercpu_time_millis: 129.204, usercpu_time_millis_testing: 4.033, usercpu_time_millis_training: 125.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6586.5605, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0021, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0063, root_relative_squared_error: 0.0173, scimark_benchmark: 1270.0177, usercpu_time_millis: 207.105, usercpu_time_millis_testing: 5.205, usercpu_time_millis_training: 201.9,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6501.9273, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0229, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0138, root_relative_squared_error: 0.0384, scimark_benchmark: 1267.2886, usercpu_time_millis: 330.47, usercpu_time_millis_testing: 6.987, usercpu_time_millis_training: 323.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6491.6787, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0253, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0158, root_relative_squared_error: 0.0436, scimark_benchmark: 1233.7933, usercpu_time_millis: 712.743, usercpu_time_millis_testing: 11.851, usercpu_time_millis_training: 700.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.7912, mean_absolute_error: 0, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.001, root_relative_squared_error: 0.0029, scimark_benchmark: 1252.546, usercpu_time_millis: 368.006, usercpu_time_millis_testing: 6.688, usercpu_time_millis_training: 361.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6595.0951, mean_absolute_error: 0, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0003, root_relative_squared_error: 0.0008, scimark_benchmark: 1234.9301, usercpu_time_millis: 170.872, usercpu_time_millis_testing: 2.97, usercpu_time_millis_training: 167.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6536.184, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.01, root_relative_squared_error: 0.0276, scimark_benchmark: 1272.7051, usercpu_time_millis: 459.988, usercpu_time_millis_testing: 7.768, usercpu_time_millis_training: 452.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6595.1358, mean_absolute_error: 0, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0002, root_relative_squared_error: 0.0005, scimark_benchmark: 1285.9138, usercpu_time_millis: 506.776, usercpu_time_millis_testing: 7.778, usercpu_time_millis_training: 498.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6486.1041, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0267, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0166, root_relative_squared_error: 0.0458, scimark_benchmark: 1218.7319, usercpu_time_millis: 267.752, usercpu_time_millis_testing: 5.096, usercpu_time_millis_training: 262.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9828, kappa: 0.9325, kb_relative_information_score: 4981.4078, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9835, predictive_accuracy: 0.9832, prior_entropy: 0.6204, recall: 0.9832, relative_absolute_error: 0.2887, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.3881, scimark_benchmark: 1236.4411, usercpu_time_millis: 151.135, usercpu_time_millis_testing: 9.232, usercpu_time_millis_training: 141.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6543.4101, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0128, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0089, root_relative_squared_error: 0.0246, scimark_benchmark: 1218.7194, usercpu_time_millis: 160.229, usercpu_time_millis_testing: 2.766, usercpu_time_millis_training: 157.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6443.6789, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0348, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0282, root_relative_squared_error: 0.078, scimark_benchmark: 1280.1396, usercpu_time_millis: 444.152, usercpu_time_millis_testing: 9.834, usercpu_time_millis_training: 434.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6584.236, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0068, root_relative_squared_error: 0.0189, scimark_benchmark: 1239.1885, usercpu_time_millis: 237.875, usercpu_time_millis_testing: 6.073, usercpu_time_millis_training: 231.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.1617, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1222.5748, usercpu_time_millis: 47.154, usercpu_time_millis_testing: 1.404, usercpu_time_millis_training: 45.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6591.5409, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0022, root_relative_squared_error: 0.0061, scimark_benchmark: 1275.7222, usercpu_time_millis: 273.427, usercpu_time_millis_testing: 5.376, usercpu_time_millis_training: 268.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6568.8359, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0676, scimark_benchmark: 1253.5415, usercpu_time_millis: 518.315, usercpu_time_millis_testing: 7.08, usercpu_time_millis_training: 511.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6581.7785, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0179, root_relative_squared_error: 0.0497, scimark_benchmark: 1243.3565, usercpu_time_millis: 115.838, usercpu_time_millis_testing: 4.754, usercpu_time_millis_training: 111.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6354.9145, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0572, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.031, root_relative_squared_error: 0.0857, scimark_benchmark: 1266.8081, usercpu_time_millis: 385.824, usercpu_time_millis_testing: 10.16, usercpu_time_millis_training: 375.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6570.5113, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0036, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0262, root_relative_squared_error: 0.0725, scimark_benchmark: 1228.0615, usercpu_time_millis: 172.819, usercpu_time_millis_testing: 5.231, usercpu_time_millis_training: 167.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6590.0179, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0013, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.003, root_relative_squared_error: 0.0083, scimark_benchmark: 1263.2951, usercpu_time_millis: 22.111, usercpu_time_millis_testing: 1.178, usercpu_time_millis_training: 20.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6309.9116, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0685, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.035, root_relative_squared_error: 0.0971, scimark_benchmark: 1229.1033, usercpu_time_millis: 78.651, usercpu_time_millis_testing: 3.852, usercpu_time_millis_training: 74.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6569.3381, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0068, root_relative_squared_error: 0.0187, scimark_benchmark: 1242.7756, usercpu_time_millis: 181.399, usercpu_time_millis_testing: 4.878, usercpu_time_millis_training: 176.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6588.7057, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0014, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0098, root_relative_squared_error: 0.0271, scimark_benchmark: 1228.6558, usercpu_time_millis: 174.829, usercpu_time_millis_testing: 5.158, usercpu_time_millis_training: 169.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6576.6092, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0045, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0079, root_relative_squared_error: 0.0218, scimark_benchmark: 1237.3128, usercpu_time_millis: 15.959, usercpu_time_millis_testing: 1.211, usercpu_time_millis_training: 14.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6190.6682, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0509, root_relative_squared_error: 0.1409, scimark_benchmark: 1221.7062, usercpu_time_millis: 350.322, usercpu_time_millis_testing: 9.548, usercpu_time_millis_training: 340.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6592.9298, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0016, root_relative_squared_error: 0.0043, scimark_benchmark: 1226.9118, usercpu_time_millis: 327.864, usercpu_time_millis_testing: 4.922, usercpu_time_millis_training: 322.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6571.403, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.0685, scimark_benchmark: 1277.0825, usercpu_time_millis: 31.53, usercpu_time_millis_testing: 1.411, usercpu_time_millis_training: 30.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6573.1421, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.003, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0254, root_relative_squared_error: 0.0702, scimark_benchmark: 1229.1587, usercpu_time_millis: 73.573, usercpu_time_millis_testing: 2.52, usercpu_time_millis_training: 71.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6561.4821, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0057, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0271, root_relative_squared_error: 0.0751, scimark_benchmark: 1234.7437, usercpu_time_millis: 55.053, usercpu_time_millis_testing: 2.388, usercpu_time_millis_training: 52.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6593.7252, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0027, root_relative_squared_error: 0.0076, scimark_benchmark: 1232.2139, usercpu_time_millis: 165.766, usercpu_time_millis_testing: 3.167, usercpu_time_millis_training: 162.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6572.4901, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0033, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1265.1803, usercpu_time_millis: 369.691, usercpu_time_millis_testing: 7.248, usercpu_time_millis_training: 362.443,

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