OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1806.812, usercpu_time_millis: 3.35, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 3.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.5954, kb_relative_information_score: 176.5372, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9964, scimark_benchmark: 1859.8127, usercpu_time_millis: 3.184, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 2.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.5954, kb_relative_information_score: 8493.1215, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.8203, scimark_benchmark: 1855.9648, usercpu_time_millis: 3.338, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 3.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.6122, kappa: 0.0362, kb_relative_information_score: 6436.4281, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7997, predictive_accuracy: 0.7217, prior_entropy: 0.863, recall: 0.7217, relative_absolute_error: 0.8603, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.392, root_relative_squared_error: 0.8677, scimark_benchmark: 1805.3575, usercpu_time_millis: 4.109, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 3.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1855.0232, usercpu_time_millis: 3.055, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 2.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1812.6689, usercpu_time_millis: 3.294, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 2.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9471, kappa: 0.8701, kb_relative_information_score: 27860.1151, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.947, predictive_accuracy: 0.9472, prior_entropy: 0.863, recall: 0.9472, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4331, scimark_benchmark: 1731.5618, usercpu_time_millis: 81.877, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 81.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1755.792, usercpu_time_millis: 3.244, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 2.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1774.3806, usercpu_time_millis: 3.107, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 2.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9458, kappa: 0.8669, kb_relative_information_score: 27502.677, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9457, predictive_accuracy: 0.946, prior_entropy: 0.863, recall: 0.946, relative_absolute_error: 0.2084, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4417, scimark_benchmark: 1851.3986, usercpu_time_millis: 51.422, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 51.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1783.0371, usercpu_time_millis: 3.308, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 3.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1866.0068, usercpu_time_millis: 3.036, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 2.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9124, kappa: 0.7803, kb_relative_information_score: 17281.7049, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9158, predictive_accuracy: 0.915, prior_entropy: 0.863, recall: 0.915, relative_absolute_error: 0.5503, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.6295, scimark_benchmark: 1860.1478, usercpu_time_millis: 4.144, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 3.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1795.3959, usercpu_time_millis: 3.641, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 3.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1849.3742, usercpu_time_millis: 3.072, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 2.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9474, kappa: 0.8708, kb_relative_information_score: 27827.6757, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9473, predictive_accuracy: 0.9475, prior_entropy: 0.863, recall: 0.9475, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4334, scimark_benchmark: 1728.8106, usercpu_time_millis: 77.634, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 77.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1728.7453, usercpu_time_millis: 3.254, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 2.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1853.454, usercpu_time_millis: 3.02, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 2.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.931, kappa: 0.8296, kb_relative_information_score: 22608.2926, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.931, predictive_accuracy: 0.9317, prior_entropy: 0.863, recall: 0.9317, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.5289, scimark_benchmark: 1856.0123, usercpu_time_millis: 7.404, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 7.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1771.5194, usercpu_time_millis: 3.2, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 2.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9438, kappa: 0.8619, kb_relative_information_score: 27070.2687, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9437, predictive_accuracy: 0.9439, prior_entropy: 0.863, recall: 0.9439, relative_absolute_error: 0.2228, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.4492, scimark_benchmark: 1852.9988, usercpu_time_millis: 36.919, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 36.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1849.3742, usercpu_time_millis: 3.103, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 2.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9451, kappa: 0.8653, kb_relative_information_score: 27344.1414, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9451, predictive_accuracy: 0.9453, prior_entropy: 0.863, recall: 0.9453, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4438, scimark_benchmark: 1853.3841, usercpu_time_millis: 42.529, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 42.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9442, kappa: 0.8628, kb_relative_information_score: 27115.3577, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9441, predictive_accuracy: 0.9443, prior_entropy: 0.863, recall: 0.9443, relative_absolute_error: 0.2214, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4478, scimark_benchmark: 1792.3548, usercpu_time_millis: 35.098, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 34.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9352, kappa: 0.8403, kb_relative_information_score: 23958.8185, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9351, predictive_accuracy: 0.9356, prior_entropy: 0.863, recall: 0.9356, relative_absolute_error: 0.3279, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.5045, scimark_benchmark: 1853.454, usercpu_time_millis: 10.012, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 9.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1734.6706, usercpu_time_millis: 3.191, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 2.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.5954, kb_relative_information_score: 4896.6825, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8981, scimark_benchmark: 1808.4368, usercpu_time_millis: 3.358, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 3.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1829.1576, usercpu_time_millis: 3.132, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 2.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1852.9988, usercpu_time_millis: 3.063, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 2.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1837.3356, usercpu_time_millis: 3.174, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 2.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1768.2066, usercpu_time_millis: 3.078, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 2.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9291, kappa: 0.8242, kb_relative_information_score: 22608.7549, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9295, predictive_accuracy: 0.93, prior_entropy: 0.863, recall: 0.93, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.239, root_relative_squared_error: 0.529, scimark_benchmark: 1857.5664, usercpu_time_millis: 5.507, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 5.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9368, kappa: 0.8443, kb_relative_information_score: 25350.471, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9367, predictive_accuracy: 0.9371, prior_entropy: 0.863, recall: 0.9371, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.4835, scimark_benchmark: 1730.6549, usercpu_time_millis: 15.445, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 15.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1855.0232, usercpu_time_millis: 3.233, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 2.934,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1852.9988, usercpu_time_millis: 3.335, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 3.029,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9464, kappa: 0.8684, kb_relative_information_score: 27680.6147, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9463, predictive_accuracy: 0.9465, prior_entropy: 0.863, recall: 0.9465, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4371, scimark_benchmark: 1727.2296, usercpu_time_millis: 70.407, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 70.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1852.4707, usercpu_time_millis: 3.112, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 2.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9456, kappa: 0.8664, kb_relative_information_score: 27458.6802, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9455, predictive_accuracy: 0.9458, prior_entropy: 0.863, recall: 0.9458, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.4423, scimark_benchmark: 1850.8706, usercpu_time_millis: 50.747, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 50.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1733.299, usercpu_time_millis: 3.147, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 2.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.5954, kb_relative_information_score: 5762.2973, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.8701, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8791, scimark_benchmark: 1858.6076, usercpu_time_millis: 3.287, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 3.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1851.8173, usercpu_time_millis: 3.053, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 2.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.919, kappa: 0.798, kb_relative_information_score: 19206.4308, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9205, predictive_accuracy: 0.9208, prior_entropy: 0.863, recall: 0.9208, relative_absolute_error: 0.4868, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.5914, scimark_benchmark: 1951.6811, usercpu_time_millis: 4.313, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 4.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9414, kappa: 0.8559, kb_relative_information_score: 26335.2191, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9413, predictive_accuracy: 0.9416, prior_entropy: 0.863, recall: 0.9416, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4628, scimark_benchmark: 1851.4416, usercpu_time_millis: 22.667, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 22.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1856.6531, usercpu_time_millis: 3.113, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 2.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9267, kappa: 0.8181, kb_relative_information_score: 21660.7623, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9272, predictive_accuracy: 0.9278, prior_entropy: 0.863, recall: 0.9278, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.5444, scimark_benchmark: 1820.6199, usercpu_time_millis: 5.099, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 4.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.941, kappa: 0.8548, kb_relative_information_score: 26142.5845, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9408, predictive_accuracy: 0.9412, prior_entropy: 0.863, recall: 0.9412, relative_absolute_error: 0.2541, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.4658, scimark_benchmark: 1853.9121, usercpu_time_millis: 24.546, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 24.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9459, kappa: 0.8671, kb_relative_information_score: 27604.253, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9458, predictive_accuracy: 0.946, prior_entropy: 0.863, recall: 0.946, relative_absolute_error: 0.2052, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4377, scimark_benchmark: 1855.4813, usercpu_time_millis: 65.4, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 65.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.922, kappa: 0.8057, kb_relative_information_score: 20330.2505, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.923, predictive_accuracy: 0.9235, prior_entropy: 0.863, recall: 0.9235, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.5708, scimark_benchmark: 1852.5406, usercpu_time_millis: 6.532, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 6.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1734.2107, usercpu_time_millis: 3.261, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 2.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1848.8462, usercpu_time_millis: 3.211, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 2.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9163, kappa: 0.7908, kb_relative_information_score: 19504.8458, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9186, predictive_accuracy: 0.9185, prior_entropy: 0.863, recall: 0.9185, relative_absolute_error: 0.4776, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.5871, scimark_benchmark: 1727.5559, usercpu_time_millis: 7.444, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 7.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1848.321, usercpu_time_millis: 3.093, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 2.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9425, kappa: 0.8585, kb_relative_information_score: 26702.6729, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9424, predictive_accuracy: 0.9427, prior_entropy: 0.863, recall: 0.9427, relative_absolute_error: 0.2351, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.4563, scimark_benchmark: 1851.4874, usercpu_time_millis: 27.096, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 26.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9202, kappa: 0.801, kb_relative_information_score: 19577.6645, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9215, predictive_accuracy: 0.9218, prior_entropy: 0.863, recall: 0.9218, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.5833, scimark_benchmark: 1745.9865, usercpu_time_millis: 4.877, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 4.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1736.6058, usercpu_time_millis: 3.195, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 2.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1695.9493, usercpu_time_millis: 3.427, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 3.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9342, kappa: 0.8375, kb_relative_information_score: 24757.4725, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9341, predictive_accuracy: 0.9347, prior_entropy: 0.863, recall: 0.9347, relative_absolute_error: 0.2995, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.495, scimark_benchmark: 1840.6344, usercpu_time_millis: 9.225, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 8.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1728.3071, usercpu_time_millis: 3.226, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 2.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1863.564, usercpu_time_millis: 3.18, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 2.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9297, kappa: 0.8262, kb_relative_information_score: 22491.4748, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9297, predictive_accuracy: 0.9304, prior_entropy: 0.863, recall: 0.9304, relative_absolute_error: 0.3757, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.5315, scimark_benchmark: 1847.4139, usercpu_time_millis: 6.061, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 5.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1733.3606, usercpu_time_millis: 3.217, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 2.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9433, kappa: 0.8607, kb_relative_information_score: 26961.0544, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9432, predictive_accuracy: 0.9435, prior_entropy: 0.863, recall: 0.9435, relative_absolute_error: 0.2265, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4507, scimark_benchmark: 1850.8313, usercpu_time_millis: 32.828, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 32.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9469, kappa: 0.8697, kb_relative_information_score: 27752.2079, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9469, predictive_accuracy: 0.947, prior_entropy: 0.863, recall: 0.947, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4356, scimark_benchmark: 1844.1808, usercpu_time_millis: 70.949, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 70.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9355, kappa: 0.8411, kb_relative_information_score: 24951.2474, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9355, predictive_accuracy: 0.936, prior_entropy: 0.863, recall: 0.936, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.4906, scimark_benchmark: 1845.4782, usercpu_time_millis: 12.595, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 12.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9422, kappa: 0.8578, kb_relative_information_score: 26613.1561, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9421, predictive_accuracy: 0.9424, prior_entropy: 0.863, recall: 0.9424, relative_absolute_error: 0.2382, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.4578, scimark_benchmark: 1850.2875, usercpu_time_millis: 25.851, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 25.566,

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