OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 9910 Supervised Classification Bioresponse 17585 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1032, 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: 1834.467, usercpu_time_millis: 7.274, usercpu_time_millis_testing: 1.182, usercpu_time_millis_training: 6.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.3273, 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: 1849.7595, usercpu_time_millis: 3.983, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 3.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7452, kappa: 0.486, kb_relative_information_score: 471.9196, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7474, predictive_accuracy: 0.747, prior_entropy: 0.9948, recall: 0.747, relative_absolute_error: 0.9017, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9178, scimark_benchmark: 1828.7666, usercpu_time_millis: 21.009, usercpu_time_millis_testing: 0.834, usercpu_time_millis_training: 20.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 748.0605, mean_absolute_error: 0.4157, 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: 0.8374, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8841, scimark_benchmark: 1844.3569, usercpu_time_millis: 191.727, usercpu_time_millis_testing: 1.672, usercpu_time_millis_training: 190.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 940.7713, mean_absolute_error: 0.3913, 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: 0.7883, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8753, scimark_benchmark: 1845.9795, usercpu_time_millis: 283.263, usercpu_time_millis_testing: 1.678, usercpu_time_millis_training: 281.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.7387, kappa: 0.4743, kb_relative_information_score: 1034.8228, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7392, predictive_accuracy: 0.7385, prior_entropy: 0.9948, recall: 0.7385, relative_absolute_error: 0.7634, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8517, scimark_benchmark: 1840.7617, usercpu_time_millis: 199.819, usercpu_time_millis_testing: 1.094, usercpu_time_millis_training: 198.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.5876, kappa: 0.2243, kb_relative_information_score: 172.8567, mean_absolute_error: 0.4795, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6828, predictive_accuracy: 0.634, prior_entropy: 0.9948, recall: 0.634, relative_absolute_error: 0.9659, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.9685, scimark_benchmark: 1854.9533, usercpu_time_millis: 5.7, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 4.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.5277, 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: 1844.3569, usercpu_time_millis: 4.173, usercpu_time_millis_testing: 0.672, usercpu_time_millis_training: 3.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.0579, 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: 1847.8629, usercpu_time_millis: 5.583, usercpu_time_millis_testing: 0.821, usercpu_time_millis_training: 4.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.7802, kappa: 0.5566, kb_relative_information_score: 1185.8153, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7803, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.7221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8109, scimark_benchmark: 1855.0231, usercpu_time_millis: 65.244, usercpu_time_millis_testing: 1.462, usercpu_time_millis_training: 63.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.411, 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: 1851.4874, usercpu_time_millis: 5.475, usercpu_time_millis_testing: 0.779, usercpu_time_millis_training: 4.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0736, 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: 1846.6923, usercpu_time_millis: 9.3, usercpu_time_millis_testing: 1.487, usercpu_time_millis_training: 7.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0691, 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: 1844.2676, usercpu_time_millis: 5.95, usercpu_time_millis_testing: 0.867, usercpu_time_millis_training: 5.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3813, kb_relative_information_score: -0.018, 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: 1828.6161, usercpu_time_millis: 5.213, usercpu_time_millis_testing: 0.767, usercpu_time_millis_training: 4.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.6867, kappa: 0.3689, kb_relative_information_score: 431.0714, mean_absolute_error: 0.4518, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6919, predictive_accuracy: 0.691, prior_entropy: 0.9948, recall: 0.691, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9248, scimark_benchmark: 1834.2072, usercpu_time_millis: 32.36, usercpu_time_millis_testing: 2.418, usercpu_time_millis_training: 29.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 928.6811, mean_absolute_error: 0.3929, 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: 0.7915, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8783, scimark_benchmark: 1833.1833, usercpu_time_millis: 91.465, usercpu_time_millis_testing: 1.247, usercpu_time_millis_training: 90.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.7733, kappa: 0.5427, kb_relative_information_score: 1417.7262, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7736, predictive_accuracy: 0.7739, prior_entropy: 0.9948, recall: 0.7739, relative_absolute_error: 0.6541, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.801, scimark_benchmark: 1843.2914, usercpu_time_millis: 116.74, usercpu_time_millis_testing: 0.831, usercpu_time_millis_training: 115.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.7436, kappa: 0.4825, kb_relative_information_score: 794.8777, mean_absolute_error: 0.4094, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7453, predictive_accuracy: 0.7451, prior_entropy: 0.9948, recall: 0.7451, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.869, scimark_benchmark: 1840.1204, usercpu_time_millis: 142.795, usercpu_time_millis_testing: 1.866, usercpu_time_millis_training: 140.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.1271, 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: 1853.454, usercpu_time_millis: 7.083, usercpu_time_millis_testing: 1.1, usercpu_time_millis_training: 5.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.7511, kappa: 0.4979, kb_relative_information_score: 1089.6914, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7517, predictive_accuracy: 0.7521, prior_entropy: 0.9948, recall: 0.7521, relative_absolute_error: 0.7492, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8434, scimark_benchmark: 1814.613, usercpu_time_millis: 309.691, usercpu_time_millis_testing: 1.178, usercpu_time_millis_training: 308.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 926.5166, mean_absolute_error: 0.3932, 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: 0.7921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.8742, scimark_benchmark: 1790.7439, usercpu_time_millis: 262.857, usercpu_time_millis_testing: 1.635, usercpu_time_millis_training: 261.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1701, 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: 1828.258, usercpu_time_millis: 5.642, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 4.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0057, 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: 1747.9623, usercpu_time_millis: 8.181, usercpu_time_millis_testing: 1.562, usercpu_time_millis_training: 6.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7184, kappa: 0.4321, kb_relative_information_score: 566.6536, mean_absolute_error: 0.4365, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7184, predictive_accuracy: 0.719, prior_entropy: 0.9948, recall: 0.719, relative_absolute_error: 0.8793, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9037, scimark_benchmark: 1752.9934, usercpu_time_millis: 75.017, usercpu_time_millis_testing: 2.177, usercpu_time_millis_training: 72.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 833.8914, mean_absolute_error: 0.4052, 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: 0.8161, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8759, scimark_benchmark: 1752.6519, usercpu_time_millis: 75.429, usercpu_time_millis_testing: 1.105, usercpu_time_millis_training: 74.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.1236, 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: 1815.2315, usercpu_time_millis: 4.692, usercpu_time_millis_testing: 0.714, usercpu_time_millis_training: 3.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 968.1516, mean_absolute_error: 0.3877, 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: 0.7809, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8787, scimark_benchmark: 1746.4511, usercpu_time_millis: 92.201, usercpu_time_millis_testing: 1.14, usercpu_time_millis_training: 91.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7369, kappa: 0.4708, kb_relative_information_score: 913.7843, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7375, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8623, scimark_benchmark: 767.6212, usercpu_time_millis: 175.789, usercpu_time_millis_testing: 1.72, usercpu_time_millis_training: 174.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.7983, kappa: 0.5932, kb_relative_information_score: 1458.5063, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7985, predictive_accuracy: 0.7987, prior_entropy: 0.9948, recall: 0.7987, relative_absolute_error: 0.6472, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7784, scimark_benchmark: 1845.2509, usercpu_time_millis: 135.575, usercpu_time_millis_testing: 1.05, usercpu_time_millis_training: 134.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7372, kappa: 0.4718, kb_relative_information_score: 867.9958, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7382, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8074, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8718, scimark_benchmark: 1851.8567, usercpu_time_millis: 76.733, usercpu_time_millis_testing: 0.918, usercpu_time_millis_training: 75.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.064, 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: 1856.125, usercpu_time_millis: 5.261, usercpu_time_millis_testing: 0.826, usercpu_time_millis_training: 4.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.046, 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: 1829.2164, usercpu_time_millis: 5.052, usercpu_time_millis_testing: 0.794, usercpu_time_millis_training: 4.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.1056, 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: 1838.8902, usercpu_time_millis: 5.911, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 5.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1905, 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: 1843.7091, usercpu_time_millis: 7.536, usercpu_time_millis_testing: 1.157, usercpu_time_millis_training: 6.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7847, kappa: 0.5657, kb_relative_information_score: 1359.8469, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9948, recall: 0.7851, relative_absolute_error: 0.6718, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.7984, scimark_benchmark: 1727.1069, usercpu_time_millis: 17.359, usercpu_time_millis_testing: 0.739, usercpu_time_millis_training: 16.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0302, 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: 13.59, usercpu_time_millis_testing: 1.818, usercpu_time_millis_training: 11.772,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 844.8307, mean_absolute_error: 0.4038, 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: 0.8133, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8761, scimark_benchmark: 1852.0126, usercpu_time_millis: 32.98, usercpu_time_millis_testing: 0.752, usercpu_time_millis_training: 32.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.7514, kappa: 0.4984, kb_relative_information_score: 902.5553, mean_absolute_error: 0.3966, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.753, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.7988, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.427, root_relative_squared_error: 0.857, scimark_benchmark: 1850.2875, usercpu_time_millis: 78.182, usercpu_time_millis_testing: 0.92, usercpu_time_millis_training: 77.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 944.0291, mean_absolute_error: 0.3909, 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: 0.7874, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.876, scimark_benchmark: 1853.3841, usercpu_time_millis: 279.371, usercpu_time_millis_testing: 1.28, usercpu_time_millis_training: 278.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7677, kappa: 0.5313, kb_relative_information_score: 1085.1016, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.768, predictive_accuracy: 0.7683, prior_entropy: 0.9948, recall: 0.7683, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8282, scimark_benchmark: 1830.7708, usercpu_time_millis: 14.572, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 13.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.7723, kappa: 0.5407, kb_relative_information_score: 994.572, mean_absolute_error: 0.3839, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7725, predictive_accuracy: 0.7729, prior_entropy: 0.9948, recall: 0.7729, relative_absolute_error: 0.7732, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8323, scimark_benchmark: 1734.2259, usercpu_time_millis: 17.248, usercpu_time_millis_testing: 1.381, usercpu_time_millis_training: 15.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7848, kappa: 0.566, kb_relative_information_score: 1439.903, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9948, recall: 0.7851, relative_absolute_error: 0.65, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.7897, scimark_benchmark: 1843.6938, usercpu_time_millis: 73.722, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 72.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7519, kappa: 0.4994, kb_relative_information_score: 927.1952, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7536, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8543, scimark_benchmark: 1856.5802, usercpu_time_millis: 141.047, usercpu_time_millis_testing: 1.144, usercpu_time_millis_training: 139.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3813, kb_relative_information_score: 0.0084, 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: 1927.3148, usercpu_time_millis: 6.174, usercpu_time_millis_testing: 1.075, usercpu_time_millis_training: 5.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.2124, 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: 1858.2223, usercpu_time_millis: 6.924, usercpu_time_millis_testing: 1.08, usercpu_time_millis_training: 5.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7369, kappa: 0.4702, kb_relative_information_score: 603.8521, mean_absolute_error: 0.4326, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.737, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8714, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.8994, scimark_benchmark: 738.7527, usercpu_time_millis: 25.294, usercpu_time_millis_testing: 1.439, usercpu_time_millis_training: 23.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1131, 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: 1848.2024, usercpu_time_millis: 7.923, usercpu_time_millis_testing: 1.219, usercpu_time_millis_training: 6.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0949, 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: 1852.4707, usercpu_time_millis: 9.394, usercpu_time_millis_testing: 1.348, usercpu_time_millis_training: 8.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7464, kappa: 0.4885, kb_relative_information_score: 844.4026, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7465, predictive_accuracy: 0.747, prior_entropy: 0.9948, recall: 0.747, relative_absolute_error: 0.811, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.427, root_relative_squared_error: 0.857, scimark_benchmark: 1853.9121, usercpu_time_millis: 16.185, usercpu_time_millis_testing: 1.305, usercpu_time_millis_training: 14.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.0886, 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: 1852.4707, usercpu_time_millis: 6.86, usercpu_time_millis_testing: 1.04, usercpu_time_millis_training: 5.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: 0.0134, 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: 7.625, usercpu_time_millis_testing: 1.341, usercpu_time_millis_training: 6.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.7371, kappa: 0.4696, kb_relative_information_score: 520.6572, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7371, predictive_accuracy: 0.7377, prior_entropy: 0.9948, recall: 0.7377, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9102, scimark_benchmark: 1844.2676, usercpu_time_millis: 32.253, usercpu_time_millis_testing: 0.968, usercpu_time_millis_training: 31.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.7682, kappa: 0.5323, kb_relative_information_score: 1175.6996, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7686, predictive_accuracy: 0.7689, prior_entropy: 0.9948, recall: 0.7689, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8207, scimark_benchmark: 738.0948, usercpu_time_millis: 103.305, usercpu_time_millis_testing: 2.028, usercpu_time_millis_training: 101.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7701, kappa: 0.5361, kb_relative_information_score: 1255.3407, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7709, predictive_accuracy: 0.771, prior_entropy: 0.9948, recall: 0.771, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8162, scimark_benchmark: 1855.4813, usercpu_time_millis: 170.007, usercpu_time_millis_testing: 0.895, usercpu_time_millis_training: 169.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7816, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 970.216, mean_absolute_error: 0.3874, 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: 0.7803, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8795, scimark_benchmark: 1846.3057, usercpu_time_millis: 295.78, usercpu_time_millis_testing: 1.52, usercpu_time_millis_training: 294.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 921.6592, mean_absolute_error: 0.3939, 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: 0.7934, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8733, scimark_benchmark: 1853.9121, usercpu_time_millis: 315.474, usercpu_time_millis_testing: 1.641, usercpu_time_millis_training: 313.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.7371, kappa: 0.4696, kb_relative_information_score: 785.9097, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7374, predictive_accuracy: 0.7379, prior_entropy: 0.9948, recall: 0.7379, relative_absolute_error: 0.826, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.8698, scimark_benchmark: 1849.3014, usercpu_time_millis: 16.699, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 15.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0961, 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: 1852.9259, usercpu_time_millis: 10.384, usercpu_time_millis_testing: 1.47, usercpu_time_millis_training: 8.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3813, kb_relative_information_score: 0.0101, 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: 1851.9456, usercpu_time_millis: 5.992, usercpu_time_millis_testing: 0.978, usercpu_time_millis_training: 5.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7467, kappa: 0.489, kb_relative_information_score: 845.6966, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7471, predictive_accuracy: 0.7475, prior_entropy: 0.9948, recall: 0.7475, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8563, scimark_benchmark: 1851.4874, usercpu_time_millis: 9.666, usercpu_time_millis_testing: 1.498, usercpu_time_millis_training: 8.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7369, kappa: 0.4696, kb_relative_information_score: 412.6901, mean_absolute_error: 0.4542, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7401, prior_entropy: 0.9948, recall: 0.7401, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.462, root_relative_squared_error: 0.9273, scimark_benchmark: 1845.181, usercpu_time_millis: 7.28, usercpu_time_millis_testing: 0.697, usercpu_time_millis_training: 6.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1087, 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: 1837.8654, usercpu_time_millis: 6.227, usercpu_time_millis_testing: 1.004, usercpu_time_millis_training: 5.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7502, kappa: 0.4963, kb_relative_information_score: 916.3346, mean_absolute_error: 0.3933, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7503, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.7922, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.8504, scimark_benchmark: 1853.5297, usercpu_time_millis: 10.927, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 10.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 897.9575, mean_absolute_error: 0.397, 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: 0.7997, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8721, scimark_benchmark: 1830.2412, usercpu_time_millis: 116.895, usercpu_time_millis_testing: 1.239, usercpu_time_millis_training: 115.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7047, kappa: 0.4041, kb_relative_information_score: 581.4609, mean_absolute_error: 0.4341, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7055, predictive_accuracy: 0.7062, prior_entropy: 0.9948, recall: 0.7062, relative_absolute_error: 0.8745, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9029, scimark_benchmark: 1825.7071, usercpu_time_millis: 4.917, usercpu_time_millis_testing: 0.673, usercpu_time_millis_training: 4.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.3813, kb_relative_information_score: -0.6251, 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: 2007.923, usercpu_time_millis: 4.114, usercpu_time_millis_testing: 0.613, usercpu_time_millis_training: 3.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.2338, 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: 1852.9259, usercpu_time_millis: 5.868, usercpu_time_millis_testing: 0.811, usercpu_time_millis_training: 5.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.7048, kappa: 0.4043, kb_relative_information_score: 443.0107, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7063, predictive_accuracy: 0.7067, prior_entropy: 0.9948, recall: 0.7067, relative_absolute_error: 0.9074, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.923, scimark_benchmark: 1852.9259, usercpu_time_millis: 29.133, usercpu_time_millis_testing: 1.522, usercpu_time_millis_training: 27.611,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs