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Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 146065 Supervised Classification monks-problems-2 261942 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.5327, kappa: 0.0191, kb_relative_information_score: 71.8633, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7769, predictive_accuracy: 0.6622, prior_entropy: 0.9279, recall: 0.6622, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.913, scimark_benchmark: 1902.663, usercpu_time_millis: 0.256, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5095, f_measure: 0.5213, kb_relative_information_score: -10.1669, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0034, scimark_benchmark: 1768.2678, usercpu_time_millis: 0.299, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5808, f_measure: 0.5213, kb_relative_information_score: 2.1995, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9932, scimark_benchmark: 2138.6695, usercpu_time_millis: 0.301, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9009, kappa: 0.7751, kb_relative_information_score: 230.9706, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9159, predictive_accuracy: 0.9052, prior_entropy: 0.9279, recall: 0.9052, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.7193, scimark_benchmark: 1903.6521, usercpu_time_millis: 3.622, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 3.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 46.2019, mean_absolute_error: 0.419, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7754, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.446, root_relative_squared_error: 0.9396, scimark_benchmark: 1904.2793, usercpu_time_millis: 1.727, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 1.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.5213, kb_relative_information_score: 66.8247, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9087, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.436, root_relative_squared_error: 0.9186, scimark_benchmark: 1846.7525, usercpu_time_millis: 1.46, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 1.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.5689, kappa: 0.0813, kb_relative_information_score: 67.0261, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7843, predictive_accuracy: 0.6789, prior_entropy: 0.9279, recall: 0.6789, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.9162, scimark_benchmark: 1828.1867, usercpu_time_millis: 1.876, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 1.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.5748, kappa: 0.0902, kb_relative_information_score: 65.5841, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.764, predictive_accuracy: 0.6805, prior_entropy: 0.9279, recall: 0.6805, relative_absolute_error: 0.899, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.9159, scimark_benchmark: 1747.1254, usercpu_time_millis: 1.668, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 1.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.5213, kb_relative_information_score: 53.8159, mean_absolute_error: 0.4172, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9256, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.9336, scimark_benchmark: 2164.7362, usercpu_time_millis: 2.1, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 1.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.8728, kappa: 0.7106, kb_relative_information_score: 194.3978, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8971, predictive_accuracy: 0.8802, prior_entropy: 0.9279, recall: 0.8802, relative_absolute_error: 0.7312, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7675, scimark_benchmark: 1828.0333, usercpu_time_millis: 0.335, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.5213, kb_relative_information_score: 24.2327, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9607, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9678, scimark_benchmark: 1861.8971, usercpu_time_millis: 0.725, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.7706, kappa: 0.4775, kb_relative_information_score: 155.7366, mean_absolute_error: 0.3454, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7917, predictive_accuracy: 0.787, prior_entropy: 0.9279, recall: 0.787, relative_absolute_error: 0.7662, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.8229, scimark_benchmark: 1865.5486, usercpu_time_millis: 0.292, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7641, f_measure: 0.5213, kb_relative_information_score: 25.2662, mean_absolute_error: 0.4335, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9617, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9655, scimark_benchmark: 1843.548, usercpu_time_millis: 1.598, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 1.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9766, kappa: 0.9478, kb_relative_information_score: 354.6263, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9769, predictive_accuracy: 0.9767, prior_entropy: 0.9279, recall: 0.9767, relative_absolute_error: 0.4807, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.5364, scimark_benchmark: 1864.4376, usercpu_time_millis: 7.811, usercpu_time_millis_testing: 0.826, usercpu_time_millis_training: 6.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5213, kb_relative_information_score: -0.2745, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1863.066, usercpu_time_millis: 0.396, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.5213, kb_relative_information_score: -0.0471, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1859.8793, usercpu_time_millis: 0.598, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.5213, kb_relative_information_score: -5.876, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 2105.2003, usercpu_time_millis: 0.533, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9766, kappa: 0.9479, kb_relative_information_score: 349.4369, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9768, predictive_accuracy: 0.9767, prior_entropy: 0.9279, recall: 0.9767, relative_absolute_error: 0.4903, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.5449, scimark_benchmark: 1748.1909, usercpu_time_millis: 5.372, usercpu_time_millis_testing: 0.609, usercpu_time_millis_training: 4.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.6326, kappa: 0.197, kb_relative_information_score: 77.9962, mean_absolute_error: 0.3977, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7894, predictive_accuracy: 0.7105, prior_entropy: 0.9279, recall: 0.7105, relative_absolute_error: 0.8824, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.9042, scimark_benchmark: 1859.7394, usercpu_time_millis: 2.315, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 2.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9963, kb_relative_information_score: 509.566, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.9279, recall: 0.9983, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1199, root_relative_squared_error: 0.2526, scimark_benchmark: 1856.0551, usercpu_time_millis: 4.159, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 3.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5101, f_measure: 0.5213, kb_relative_information_score: -2.6606, mean_absolute_error: 0.4494, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9997, scimark_benchmark: 1761.7475, usercpu_time_millis: 0.928, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 0.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5302, f_measure: 0.5213, kb_relative_information_score: -2.6761, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9978, scimark_benchmark: 1781.196, usercpu_time_millis: 0.585, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.6235, kappa: 0.1796, kb_relative_information_score: 64.1942, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.786, predictive_accuracy: 0.7055, prior_entropy: 0.9279, recall: 0.7055, relative_absolute_error: 0.8976, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9176, scimark_benchmark: 1864.5074, usercpu_time_millis: 2.923, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 2.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.5213, kb_relative_information_score: 0.4174, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1863.9794, usercpu_time_millis: 0.683, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.5213, kb_relative_information_score: -6.3841, mean_absolute_error: 0.4494, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9993, scimark_benchmark: 2156.1231, usercpu_time_millis: 0.836, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 0.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5128, f_measure: 0.5213, kb_relative_information_score: -3.2593, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9992, scimark_benchmark: 1829.0041, usercpu_time_millis: 1.206, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 1.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.5213, kb_relative_information_score: -1.176, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1753.5698, usercpu_time_millis: 0.15, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.5213, kb_relative_information_score: -0.0226, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1864.5074, usercpu_time_millis: 0.358, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6237, f_measure: 0.5213, kb_relative_information_score: 4.2971, mean_absolute_error: 0.4462, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9913, scimark_benchmark: 1847.8409, usercpu_time_millis: 0.754, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 0.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.5213, kb_relative_information_score: 70.9301, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9053, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.914, scimark_benchmark: 1868.1832, usercpu_time_millis: 1.34, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 1.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9917, kappa: 0.9816, kb_relative_information_score: 450.2884, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 0.9279, recall: 0.9917, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3711, scimark_benchmark: 1892.9086, usercpu_time_millis: 8.681, usercpu_time_millis_testing: 0.916, usercpu_time_millis_training: 7.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.5213, kb_relative_information_score: 16.463, mean_absolute_error: 0.4362, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9678, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9743, scimark_benchmark: 1902.439, usercpu_time_millis: 1.612, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 1.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 528.0041, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.1584, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1012, root_relative_squared_error: 0.2133, scimark_benchmark: 1939.7523, usercpu_time_millis: 8.222, usercpu_time_millis_testing: 0.876, usercpu_time_millis_training: 7.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.6596, kappa: 0.2457, kb_relative_information_score: 82.0804, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7721, predictive_accuracy: 0.7221, prior_entropy: 0.9279, recall: 0.7221, relative_absolute_error: 0.8728, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.9035, scimark_benchmark: 1895.9481, usercpu_time_millis: 2.382, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 2.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.8628, kappa: 0.6877, kb_relative_information_score: 196.7431, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8928, predictive_accuracy: 0.8719, prior_entropy: 0.9279, recall: 0.8719, relative_absolute_error: 0.7286, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7651, scimark_benchmark: 1766.6133, usercpu_time_millis: 5.827, usercpu_time_millis_testing: 0.737, usercpu_time_millis_training: 5.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.6546, kappa: 0.2405, kb_relative_information_score: 90.055, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8055, predictive_accuracy: 0.7238, prior_entropy: 0.9279, recall: 0.7238, relative_absolute_error: 0.8681, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8912, scimark_benchmark: 1897.918, usercpu_time_millis: 4.599, usercpu_time_millis_testing: 0.564, usercpu_time_millis_training: 4.035,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.5213, kb_relative_information_score: -4.509, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9997, scimark_benchmark: 1858.5035, usercpu_time_millis: 1.271, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 1.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9322, kappa: 0.8473, kb_relative_information_score: 305.6012, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9356, predictive_accuracy: 0.9334, prior_entropy: 0.9279, recall: 0.9334, relative_absolute_error: 0.5575, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.6138, scimark_benchmark: 1864.9656, usercpu_time_millis: 0.284, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.6962, kappa: 0.3238, kb_relative_information_score: 110.5381, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8182, predictive_accuracy: 0.7488, prior_entropy: 0.9279, recall: 0.7488, relative_absolute_error: 0.8432, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.869, scimark_benchmark: 1865.4965, usercpu_time_millis: 0.663, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.8889, kappa: 0.7478, kb_relative_information_score: 221.1905, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9024, predictive_accuracy: 0.8935, prior_entropy: 0.9279, recall: 0.8935, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7279, scimark_benchmark: 1730.9146, usercpu_time_millis: 2.514, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 2.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.5213, kb_relative_information_score: 39.5016, mean_absolute_error: 0.4233, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4509, root_relative_squared_error: 0.95, scimark_benchmark: 1864.5074, usercpu_time_millis: 1.522, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 1.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.5213, kb_relative_information_score: 0.5165, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1870.3532, usercpu_time_millis: 0.685, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 0.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9456, kappa: 0.8773, kb_relative_information_score: 277.8692, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9507, predictive_accuracy: 0.9468, prior_entropy: 0.9279, recall: 0.9468, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6516, scimark_benchmark: 2129.8758, usercpu_time_millis: 6.081, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 5.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9732, kappa: 0.9402, kb_relative_information_score: 338.5701, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9737, predictive_accuracy: 0.9734, prior_entropy: 0.9279, recall: 0.9734, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.5609, scimark_benchmark: 1853.5846, usercpu_time_millis: 3.062, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 2.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9352, kappa: 0.8539, kb_relative_information_score: 295.7956, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9409, predictive_accuracy: 0.9368, prior_entropy: 0.9279, recall: 0.9368, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.6285, scimark_benchmark: 1857.269, usercpu_time_millis: 1.219, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 1.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1305, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1862.0186, usercpu_time_millis: 0.809, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 0.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, f_measure: 0.5256, kappa: -0.0005, kb_relative_information_score: 40.1561, mean_absolute_error: 0.4223, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5462, predictive_accuracy: 0.6539, prior_entropy: 0.9279, recall: 0.6539, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9515, scimark_benchmark: 1852.6775, usercpu_time_millis: 1.178, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 0.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.5213, kb_relative_information_score: -2.1615, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.998, scimark_benchmark: 1815.9496, usercpu_time_millis: 0.508, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8471, kappa: 0.6517, kb_relative_information_score: 184.0403, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8836, predictive_accuracy: 0.8586, prior_entropy: 0.9279, recall: 0.8586, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7801, scimark_benchmark: 1796.1284, usercpu_time_millis: 6.94, usercpu_time_millis_testing: 0.912, usercpu_time_millis_training: 6.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9247, kappa: 0.83, kb_relative_information_score: 286.2485, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9316, predictive_accuracy: 0.9268, prior_entropy: 0.9279, recall: 0.9268, relative_absolute_error: 0.5862, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6423, scimark_benchmark: 1794.8143, usercpu_time_millis: 4.158, usercpu_time_millis_testing: 0.8, usercpu_time_millis_training: 3.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8608, kappa: 0.684, kb_relative_information_score: 191.9471, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8735, predictive_accuracy: 0.8669, prior_entropy: 0.9279, recall: 0.8669, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7711, scimark_benchmark: 1744.3284, usercpu_time_millis: 2.201, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 1.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7025, f_measure: 0.5213, kb_relative_information_score: 25.6625, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9574, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9651, scimark_benchmark: 1745.0258, usercpu_time_millis: 2.64, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 2.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8914, kappa: 0.7539, kb_relative_information_score: 215.2083, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.901, predictive_accuracy: 0.8952, prior_entropy: 0.9279, recall: 0.8952, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7398, scimark_benchmark: 1747.381, usercpu_time_millis: 3.314, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 2.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.8915, kappa: 0.7533, kb_relative_information_score: 228.4104, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9108, predictive_accuracy: 0.8968, prior_entropy: 0.9279, recall: 0.8968, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.7221, scimark_benchmark: 1749.9754, usercpu_time_millis: 5.768, usercpu_time_millis_testing: 0.748, usercpu_time_millis_training: 5.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.8921, kappa: 0.7551, kb_relative_information_score: 207.775, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9072, predictive_accuracy: 0.8968, prior_entropy: 0.9279, recall: 0.8968, relative_absolute_error: 0.7071, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.356, root_relative_squared_error: 0.75, scimark_benchmark: 1863.9794, usercpu_time_millis: 2.343, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 2.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9867, kappa: 0.9704, kb_relative_information_score: 413.0002, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9867, predictive_accuracy: 0.9867, prior_entropy: 0.9279, recall: 0.9867, relative_absolute_error: 0.3786, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.4384, scimark_benchmark: 1855.8396, usercpu_time_millis: 1.217, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1631, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1858.8973, usercpu_time_millis: 1.07, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 0.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, f_measure: 0.5213, kb_relative_information_score: 12.7204, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9723, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9781, scimark_benchmark: 1860.7227, usercpu_time_millis: 0.561, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9833, kappa: 0.9629, kb_relative_information_score: 372.38, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9834, predictive_accuracy: 0.9834, prior_entropy: 0.9279, recall: 0.9834, relative_absolute_error: 0.4509, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.24, root_relative_squared_error: 0.5056, scimark_benchmark: 1855.3202, usercpu_time_millis: 4.754, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 4.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.5243, kappa: 0.003, kb_relative_information_score: 29.7436, mean_absolute_error: 0.4279, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6037, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9495, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9588, scimark_benchmark: 1746.2145, usercpu_time_millis: 1.433, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 1.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1313, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1094.6787, usercpu_time_millis: 1.577, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 1.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, f_measure: 0.5213, kb_relative_information_score: 0.1415, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1854.1655, usercpu_time_millis: 0.888, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 0.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5427, f_measure: 0.5213, kb_relative_information_score: -1.5714, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9978, scimark_benchmark: 1859.2842, usercpu_time_millis: 0.748, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 0.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.5213, kb_relative_information_score: 47.0696, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.9395, scimark_benchmark: 1745.8273, usercpu_time_millis: 1.786, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 1.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.5213, kb_relative_information_score: 20.7435, mean_absolute_error: 0.4352, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9719, scimark_benchmark: 1740.0449, usercpu_time_millis: 1.75, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 1.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9682, kappa: 0.9291, kb_relative_information_score: 364.0442, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9685, predictive_accuracy: 0.9684, prior_entropy: 0.9279, recall: 0.9684, relative_absolute_error: 0.4627, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.5214, scimark_benchmark: 1859.035, usercpu_time_millis: 4.3, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 3.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.5213, kb_relative_information_score: 11.288, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9808, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9837, scimark_benchmark: 1860.6018, usercpu_time_millis: 1.111, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 0.918,

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