Task
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7535, kappa: 0.5027, kb_relative_information_score: 854.8529, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7558, predictive_accuracy: 0.7553, prior_entropy: 0.9948, recall: 0.7553, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8622, scimark_benchmark: 1834.9168, usercpu_time_millis: 122.904, usercpu_time_millis_testing: 1.271, usercpu_time_millis_training: 121.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.7388, kappa: 0.474, kb_relative_information_score: 792.9981, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7389, predictive_accuracy: 0.7387, prior_entropy: 0.9948, recall: 0.7387, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8735, scimark_benchmark: 1848.8462, usercpu_time_millis: 131.186, usercpu_time_millis_testing: 1.521, usercpu_time_millis_training: 129.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7561, kappa: 0.508, kb_relative_information_score: 1251.9211, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7594, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8234, scimark_benchmark: 1722.1338, usercpu_time_millis: 354.563, usercpu_time_millis_testing: 0.98, usercpu_time_millis_training: 353.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7367, kappa: 0.4705, kb_relative_information_score: 697.7685, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7374, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8495, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.443, root_relative_squared_error: 0.8892, scimark_benchmark: 1781.1584, usercpu_time_millis: 129.892, usercpu_time_millis_testing: 1.261, usercpu_time_millis_training: 128.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.7575, kappa: 0.511, kb_relative_information_score: 1223.8816, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7575, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.7098, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8289, scimark_benchmark: 1846.1643, usercpu_time_millis: 154.173, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 153.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.7632, kappa: 0.5221, kb_relative_information_score: 1133.6485, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.765, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.828, scimark_benchmark: 1846.8212, usercpu_time_millis: 133.157, usercpu_time_millis_testing: 1.028, usercpu_time_millis_training: 132.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.756, kappa: 0.5077, kb_relative_information_score: 969.0625, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7565, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8427, scimark_benchmark: 1856.5802, usercpu_time_millis: 129.745, usercpu_time_millis_testing: 1.548, usercpu_time_millis_training: 128.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7942, kappa: 0.5849, kb_relative_information_score: 1229.8179, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7942, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.7947, scimark_benchmark: 1852.9259, usercpu_time_millis: 83.863, usercpu_time_millis_testing: 3.344, usercpu_time_millis_training: 80.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.7506, kappa: 0.4967, kb_relative_information_score: 811.8604, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7517, predictive_accuracy: 0.7518, prior_entropy: 0.9948, recall: 0.7518, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.8678, scimark_benchmark: 1855.4813, usercpu_time_millis: 26.21, usercpu_time_millis_testing: 0.785, usercpu_time_millis_training: 25.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.7162, kappa: 0.4274, kb_relative_information_score: 596.92, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7165, predictive_accuracy: 0.7171, prior_entropy: 0.9948, recall: 0.7171, relative_absolute_error: 0.8717, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8987, scimark_benchmark: 1853.5818, usercpu_time_millis: 35.383, usercpu_time_millis_testing: 1.673, usercpu_time_millis_training: 33.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7379, kappa: 0.4711, kb_relative_information_score: 485.017, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7386, predictive_accuracy: 0.739, prior_entropy: 0.9948, recall: 0.739, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9165, scimark_benchmark: 1836.1318, usercpu_time_millis: 60.898, usercpu_time_millis_testing: 1.361, usercpu_time_millis_training: 59.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7612, kappa: 0.5199, kb_relative_information_score: 1577.224, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7609, prior_entropy: 0.9948, recall: 0.7609, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.834, scimark_benchmark: 1839.7911, usercpu_time_millis: 34.734, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 34.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.7809, kappa: 0.558, kb_relative_information_score: 1171.25, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7811, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.7262, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8116, scimark_benchmark: 1850.9652, usercpu_time_millis: 37.787, usercpu_time_millis_testing: 1.32, usercpu_time_millis_training: 36.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.75, kappa: 0.4956, kb_relative_information_score: 872.0535, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7512, predictive_accuracy: 0.7513, prior_entropy: 0.9948, recall: 0.7513, relative_absolute_error: 0.8052, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8574, scimark_benchmark: 1844.149, usercpu_time_millis: 75.401, usercpu_time_millis_testing: 1.102, usercpu_time_millis_training: 74.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.7479, kappa: 0.4912, kb_relative_information_score: 889.7233, mean_absolute_error: 0.3977, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7496, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8553, scimark_benchmark: 1772.6085, usercpu_time_millis: 55.746, usercpu_time_millis_testing: 0.933, usercpu_time_millis_training: 54.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.7494, kappa: 0.4943, kb_relative_information_score: 875.4779, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7507, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.8048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.858, scimark_benchmark: 1857.5664, usercpu_time_millis: 105.429, usercpu_time_millis_testing: 1.627, usercpu_time_millis_training: 103.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7463, kappa: 0.4887, kb_relative_information_score: 1190.2261, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.752, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8433, scimark_benchmark: 1805.5933, usercpu_time_millis: 107.865, usercpu_time_millis_testing: 0.827, usercpu_time_millis_training: 107.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7767, kappa: 0.5494, kb_relative_information_score: 1190.5167, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7772, predictive_accuracy: 0.7774, prior_entropy: 0.9948, recall: 0.7774, relative_absolute_error: 0.7205, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8125, scimark_benchmark: 1823.8182, usercpu_time_millis: 100.972, usercpu_time_millis_testing: 1.214, usercpu_time_millis_training: 99.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 978.0128, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7782, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8811, scimark_benchmark: 1818.9456, usercpu_time_millis: 128.54, usercpu_time_millis_testing: 1.345, usercpu_time_millis_training: 127.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 891.8371, mean_absolute_error: 0.3977, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8724, scimark_benchmark: 1853.454, usercpu_time_millis: 157.745, usercpu_time_millis_testing: 1.193, usercpu_time_millis_training: 156.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.7675, kappa: 0.5311, kb_relative_information_score: 982.8311, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7675, predictive_accuracy: 0.7678, prior_entropy: 0.9948, recall: 0.7678, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8361, scimark_benchmark: 1821.3322, usercpu_time_millis: 151.676, usercpu_time_millis_testing: 4.35, usercpu_time_millis_training: 147.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 933.7234, mean_absolute_error: 0.3923, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8725, scimark_benchmark: 1820.4188, usercpu_time_millis: 190.996, usercpu_time_millis_testing: 1.094, usercpu_time_millis_training: 189.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7366, kappa: 0.4703, kb_relative_information_score: 712.7573, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7373, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.8876, scimark_benchmark: 1856.5802, usercpu_time_millis: 221.521, usercpu_time_millis_testing: 1.798, usercpu_time_millis_training: 219.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0688, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1852.0126, usercpu_time_millis: 7.288, usercpu_time_millis_testing: 1.059, usercpu_time_millis_training: 6.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -0.4201, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1851.3287, usercpu_time_millis: 5.105, usercpu_time_millis_testing: 0.77, usercpu_time_millis_training: 4.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.0699, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1789.8823, usercpu_time_millis: 10.756, usercpu_time_millis_testing: 1.537, usercpu_time_millis_training: 9.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.783, kappa: 0.5625, kb_relative_information_score: 1243.9575, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.783, predictive_accuracy: 0.7833, prior_entropy: 0.9948, recall: 0.7833, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8039, scimark_benchmark: 1803.6299, usercpu_time_millis: 15.248, usercpu_time_millis_testing: 1.044, usercpu_time_millis_training: 14.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7729, kappa: 0.5419, kb_relative_information_score: 1048.3712, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7731, predictive_accuracy: 0.7734, prior_entropy: 0.9948, recall: 0.7734, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.411, root_relative_squared_error: 0.825, scimark_benchmark: 1716.9407, usercpu_time_millis: 40.398, usercpu_time_millis_testing: 2.538, usercpu_time_millis_training: 37.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.0371, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1837.7821, usercpu_time_millis: 10.857, usercpu_time_millis_testing: 1.445, usercpu_time_millis_training: 9.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7426, kappa: 0.4811, kb_relative_information_score: 877.3222, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7425, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8636, scimark_benchmark: 1822.4414, usercpu_time_millis: 6.585, usercpu_time_millis_testing: 0.668, usercpu_time_millis_training: 5.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7181, kappa: 0.4311, kb_relative_information_score: 618.125, mean_absolute_error: 0.4302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7187, predictive_accuracy: 0.7193, prior_entropy: 0.9948, recall: 0.7193, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8955, scimark_benchmark: 1842.3188, usercpu_time_millis: 5.959, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 5.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.1294, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1844.7474, usercpu_time_millis: 7.391, usercpu_time_millis_testing: 1.198, usercpu_time_millis_training: 6.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0143, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1847.7401, usercpu_time_millis: 7.532, usercpu_time_millis_testing: 1.202, usercpu_time_millis_training: 6.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0581, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1859.1356, usercpu_time_millis: 8.093, usercpu_time_millis_testing: 1.294, usercpu_time_millis_training: 6.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0924, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1845.6391, usercpu_time_millis: 7.416, usercpu_time_millis_testing: 1.158, usercpu_time_millis_training: 6.258,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.7528, kappa: 0.5012, kb_relative_information_score: 1120.723, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7549, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8413, scimark_benchmark: 1808.9842, usercpu_time_millis: 278.225, usercpu_time_millis_testing: 1.049, usercpu_time_millis_training: 277.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: 0.0239, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1815.5992, usercpu_time_millis: 8.139, usercpu_time_millis_testing: 1.435, usercpu_time_millis_training: 6.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.738, kappa: 0.4734, kb_relative_information_score: 720.3534, mean_absolute_error: 0.419, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.739, predictive_accuracy: 0.7377, prior_entropy: 0.9948, recall: 0.7377, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.442, root_relative_squared_error: 0.8872, scimark_benchmark: 1845.264, usercpu_time_millis: 16.012, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 15.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.7174, kappa: 0.449, kb_relative_information_score: 1641.3867, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7457, predictive_accuracy: 0.7198, prior_entropy: 0.9948, recall: 0.7198, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9025, scimark_benchmark: 1848.3904, usercpu_time_millis: 7.947, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 7.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.105, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1811.3189, usercpu_time_millis: 6.028, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 5.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 969.4451, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7805, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8808, scimark_benchmark: 1818.7477, usercpu_time_millis: 7.709, usercpu_time_millis_testing: 0.665, usercpu_time_millis_training: 7.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.1708, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1858.6775, usercpu_time_millis: 8.275, usercpu_time_millis_testing: 1.324, usercpu_time_millis_training: 6.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.0439, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1857.5664, usercpu_time_millis: 4.457, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 3.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7557, kappa: 0.5073, kb_relative_information_score: 871.8055, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7559, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.8042, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.8526, scimark_benchmark: 1840.8345, usercpu_time_millis: 32.023, usercpu_time_millis_testing: 2.314, usercpu_time_millis_training: 29.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0748, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1849.9303, usercpu_time_millis: 6.041, usercpu_time_millis_testing: 0.903, usercpu_time_millis_training: 5.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.6657, kappa: 0.3304, kb_relative_information_score: 316.8178, mean_absolute_error: 0.4643, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6795, predictive_accuracy: 0.6748, prior_entropy: 0.9948, recall: 0.6748, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9438, scimark_benchmark: 1818.6353, usercpu_time_millis: 20.128, usercpu_time_millis_testing: 1.77, usercpu_time_millis_training: 18.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7936, kappa: 0.5835, kb_relative_information_score: 1302.6986, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7941, predictive_accuracy: 0.7942, prior_entropy: 0.9948, recall: 0.7942, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7902, scimark_benchmark: 1839.1431, usercpu_time_millis: 30.301, usercpu_time_millis_testing: 1.119, usercpu_time_millis_training: 29.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.0298, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1843.3864, usercpu_time_millis: 7.536, usercpu_time_millis_testing: 1.047, usercpu_time_millis_training: 6.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0923, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1836.1651, usercpu_time_millis: 8.468, usercpu_time_millis_testing: 1.2, usercpu_time_millis_training: 7.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7554, kappa: 0.5064, kb_relative_information_score: 940.7694, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.788, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8487, scimark_benchmark: 1823.3401, usercpu_time_millis: 39.173, usercpu_time_millis_testing: 0.803, usercpu_time_millis_training: 38.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7361, kappa: 0.469, kb_relative_information_score: 900.8435, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7366, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8636, scimark_benchmark: 1810.2635, usercpu_time_millis: 28.834, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 28.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.6604, kappa: 0.3259, kb_relative_information_score: 262.0464, mean_absolute_error: 0.4702, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6868, predictive_accuracy: 0.6748, prior_entropy: 0.9948, recall: 0.6748, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4748, root_relative_squared_error: 0.9529, scimark_benchmark: 1850.2875, usercpu_time_millis: 8.455, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 7.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.1504, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1854.0399, usercpu_time_millis: 8.735, usercpu_time_millis_testing: 1.478, usercpu_time_millis_training: 7.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7354, kappa: 0.4675, kb_relative_information_score: 722.3927, mean_absolute_error: 0.4187, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7353, prior_entropy: 0.9948, recall: 0.7353, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8832, scimark_benchmark: 1834.0216, usercpu_time_millis: 50.352, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 49.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.3813, kb_relative_information_score: -0.5519, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1842.7105, usercpu_time_millis: 4.702, usercpu_time_millis_testing: 0.717, usercpu_time_millis_training: 3.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -0.0349, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1835.1963, usercpu_time_millis: 4.471, usercpu_time_millis_testing: 0.701, usercpu_time_millis_training: 3.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.6819, kappa: 0.3599, kb_relative_information_score: 397.5125, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.689, predictive_accuracy: 0.6873, prior_entropy: 0.9948, recall: 0.6873, relative_absolute_error: 0.9173, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9306, scimark_benchmark: 1831.0407, usercpu_time_millis: 12.097, usercpu_time_millis_testing: 1.172, usercpu_time_millis_training: 10.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0883, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1850.5112, usercpu_time_millis: 8.184, usercpu_time_millis_testing: 1.318, usercpu_time_millis_training: 6.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.5724, kappa: 0.2057, kb_relative_information_score: 168.6255, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6842, predictive_accuracy: 0.6265, prior_entropy: 0.9948, recall: 0.6265, relative_absolute_error: 0.9668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9692, scimark_benchmark: 1846.8309, usercpu_time_millis: 9.748, usercpu_time_millis_testing: 1.284, usercpu_time_millis_training: 8.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7622, kappa: 0.5202, kb_relative_information_score: 1112.7481, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7632, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8253, scimark_benchmark: 1836.0529, usercpu_time_millis: 26.953, usercpu_time_millis_testing: 0.714, usercpu_time_millis_training: 26.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0721, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 787.8104, usercpu_time_millis: 11.6, usercpu_time_millis_testing: 1.688, usercpu_time_millis_training: 9.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7475, kappa: 0.4904, kb_relative_information_score: 633.5388, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7484, predictive_accuracy: 0.7486, prior_entropy: 0.9948, recall: 0.7486, relative_absolute_error: 0.8643, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.8938, scimark_benchmark: 1834.6984, usercpu_time_millis: 66.964, usercpu_time_millis_testing: 1.035, usercpu_time_millis_training: 65.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: 0.0713, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1851.8567, usercpu_time_millis: 5.619, usercpu_time_millis_testing: 0.823, usercpu_time_millis_training: 4.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.6387, kappa: 0.2902, kb_relative_information_score: 234.8435, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6775, predictive_accuracy: 0.6596, prior_entropy: 0.9948, recall: 0.6596, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4771, root_relative_squared_error: 0.9576, scimark_benchmark: 1782.6186, usercpu_time_millis: 6.414, usercpu_time_millis_testing: 0.775, usercpu_time_millis_training: 5.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.1409, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1759.3718, usercpu_time_millis: 7.67, usercpu_time_millis_testing: 1.171, usercpu_time_millis_training: 6.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.7188, kappa: 0.4348, kb_relative_information_score: 373.8601, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7296, predictive_accuracy: 0.7243, prior_entropy: 0.9948, recall: 0.7243, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9335, scimark_benchmark: 1812.3516, usercpu_time_millis: 32.453, usercpu_time_millis_testing: 1.564, usercpu_time_millis_training: 30.889,

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