OpenML
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: 0.8164, f_measure: 0.7556, kappa: 0.5068, kb_relative_information_score: 928.6678, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7575, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8518, scimark_benchmark: 1823.3064, usercpu_time_millis: 24.478, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 23.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.03, 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: 1840.8272, usercpu_time_millis: 7.747, usercpu_time_millis_testing: 1.249, usercpu_time_millis_training: 6.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, 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: 1836.6789, usercpu_time_millis: 6.066, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 5.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.1329, 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: 1810.3257, usercpu_time_millis: 6.348, usercpu_time_millis_testing: 1.022, usercpu_time_millis_training: 5.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.3107, 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, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1815.5549, usercpu_time_millis: 4.803, usercpu_time_millis_testing: 0.744, usercpu_time_millis_training: 4.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 953.3788, mean_absolute_error: 0.3896, 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: 0.7848, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8787, scimark_benchmark: 1814.2448, usercpu_time_millis: 9.391, usercpu_time_millis_testing: 0.687, usercpu_time_millis_training: 8.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.5097, kappa: 0.1362, kb_relative_information_score: 132.0597, mean_absolute_error: 0.4836, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7033, predictive_accuracy: 0.5988, prior_entropy: 0.9948, recall: 0.5988, relative_absolute_error: 0.9742, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.9758, scimark_benchmark: 1817.5736, usercpu_time_millis: 9.859, usercpu_time_millis_testing: 1.404, usercpu_time_millis_training: 8.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.0722, 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: 1783.997, usercpu_time_millis: 9.462, usercpu_time_millis_testing: 1.402, usercpu_time_millis_training: 8.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7374, kappa: 0.4717, kb_relative_information_score: 733.3172, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7379, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8409, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.883, scimark_benchmark: 1847.9815, usercpu_time_millis: 61.1, usercpu_time_millis_testing: 0.905, usercpu_time_millis_training: 60.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7882, kappa: 0.5738, kb_relative_information_score: 1632.5235, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7886, predictive_accuracy: 0.7881, prior_entropy: 0.9948, recall: 0.7881, relative_absolute_error: 0.5904, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.7881, scimark_benchmark: 1850.9652, usercpu_time_millis: 59.295, usercpu_time_millis_testing: 0.805, usercpu_time_millis_training: 58.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.7774, kappa: 0.551, kb_relative_information_score: 1394.5619, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7776, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.6611, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8012, scimark_benchmark: 1832.3042, usercpu_time_millis: 79.375, usercpu_time_millis_testing: 0.785, usercpu_time_millis_training: 78.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7603, kappa: 0.5165, kb_relative_information_score: 1239.4786, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7605, predictive_accuracy: 0.7609, prior_entropy: 0.9948, recall: 0.7609, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8311, scimark_benchmark: 1808.1865, usercpu_time_millis: 13.917, usercpu_time_millis_testing: 0.685, usercpu_time_millis_training: 13.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1536, 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: 1832.1735, usercpu_time_millis: 7.505, usercpu_time_millis_testing: 1.182, usercpu_time_millis_training: 6.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7332, kappa: 0.4629, kb_relative_information_score: 571.0296, mean_absolute_error: 0.4367, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7334, predictive_accuracy: 0.7331, prior_entropy: 0.9948, recall: 0.7331, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9029, scimark_benchmark: 1847.7988, usercpu_time_millis: 76.039, usercpu_time_millis_testing: 1.474, usercpu_time_millis_training: 74.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.7375, kappa: 0.4724, kb_relative_information_score: 862.7322, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7385, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.874, scimark_benchmark: 1811.6402, usercpu_time_millis: 80.146, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 79.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.8, kappa: 0.5968, kb_relative_information_score: 1313.0391, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8001, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.786, scimark_benchmark: 1832.3702, usercpu_time_millis: 62.55, usercpu_time_millis_testing: 1.871, usercpu_time_millis_training: 60.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.7994, kappa: 0.5953, kb_relative_information_score: 1572.7196, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7996, predictive_accuracy: 0.7998, prior_entropy: 0.9948, recall: 0.7998, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7642, scimark_benchmark: 1806.0987, usercpu_time_millis: 72.913, usercpu_time_millis_testing: 1.032, usercpu_time_millis_training: 71.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.7279, kappa: 0.4511, kb_relative_information_score: 661.3419, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7283, predictive_accuracy: 0.7289, prior_entropy: 0.9948, recall: 0.7289, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.8889, scimark_benchmark: 1798.2259, usercpu_time_millis: 47.743, usercpu_time_millis_testing: 1.134, usercpu_time_millis_training: 46.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7719, kappa: 0.5399, kb_relative_information_score: 1437.7302, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.772, predictive_accuracy: 0.7723, prior_entropy: 0.9948, recall: 0.7723, relative_absolute_error: 0.647, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8004, scimark_benchmark: 1722.7651, usercpu_time_millis: 66.522, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 65.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7374, kappa: 0.4721, kb_relative_information_score: 871.6589, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7382, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8709, scimark_benchmark: 1826.2133, usercpu_time_millis: 79.262, usercpu_time_millis_testing: 0.865, usercpu_time_millis_training: 78.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7442, kappa: 0.484, kb_relative_information_score: 648.625, mean_absolute_error: 0.4271, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7444, predictive_accuracy: 0.7449, prior_entropy: 0.9948, recall: 0.7449, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8916, scimark_benchmark: 1823.3487, usercpu_time_millis: 122.85, usercpu_time_millis_testing: 1.773, usercpu_time_millis_training: 121.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0054, 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: 1800.0837, usercpu_time_millis: 7.826, usercpu_time_millis_testing: 1.246, usercpu_time_millis_training: 6.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.761, kappa: 0.5177, kb_relative_information_score: 1079.2616, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7623, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8293, scimark_benchmark: 1854.9533, usercpu_time_millis: 113.455, usercpu_time_millis_testing: 1.02, usercpu_time_millis_training: 112.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 979.7569, mean_absolute_error: 0.3861, 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: 0.7777, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.8815, scimark_benchmark: 1817.9562, usercpu_time_millis: 124.726, usercpu_time_millis_testing: 1.068, usercpu_time_millis_training: 123.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.7466, kappa: 0.4889, kb_relative_information_score: 715.8877, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7468, predictive_accuracy: 0.7473, prior_entropy: 0.9948, recall: 0.7473, relative_absolute_error: 0.8449, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8822, scimark_benchmark: 1825.8927, usercpu_time_millis: 131.017, usercpu_time_millis_testing: 1.93, usercpu_time_millis_training: 129.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.7539, kappa: 0.5036, kb_relative_information_score: 1092.0783, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.754, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8419, scimark_benchmark: 1829.298, usercpu_time_millis: 68.005, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 67.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.7548, kappa: 0.5052, kb_relative_information_score: 975.3283, mean_absolute_error: 0.3872, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7573, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8484, scimark_benchmark: 1810.266, usercpu_time_millis: 87.298, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 86.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.7471, kappa: 0.4897, kb_relative_information_score: 834.1942, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7487, predictive_accuracy: 0.7486, prior_entropy: 0.9948, recall: 0.7486, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.43, root_relative_squared_error: 0.8632, scimark_benchmark: 1846.4335, usercpu_time_millis: 111.206, usercpu_time_millis_testing: 1.759, usercpu_time_millis_training: 109.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.781, kappa: 0.5581, kb_relative_information_score: 1347.2725, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7815, predictive_accuracy: 0.7817, prior_entropy: 0.9948, recall: 0.7817, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.7967, scimark_benchmark: 1838.7526, usercpu_time_millis: 122.593, usercpu_time_millis_testing: 1.083, usercpu_time_millis_training: 121.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.7852, kappa: 0.5668, kb_relative_information_score: 1487.2757, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7854, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.6358, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7858, scimark_benchmark: 1812.1403, usercpu_time_millis: 149.766, usercpu_time_millis_testing: 0.827, usercpu_time_millis_training: 148.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 971.784, mean_absolute_error: 0.3872, 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: 0.7799, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.881, scimark_benchmark: 1852.4008, usercpu_time_millis: 142.635, usercpu_time_millis_testing: 1.057, usercpu_time_millis_training: 141.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 950.5498, mean_absolute_error: 0.39, 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: 0.7857, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8766, scimark_benchmark: 1851.4874, usercpu_time_millis: 147.592, usercpu_time_millis_testing: 1.288, usercpu_time_millis_training: 146.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.7381, kappa: 0.4738, kb_relative_information_score: 1099.9811, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7394, predictive_accuracy: 0.7377, prior_entropy: 0.9948, recall: 0.7377, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8509, scimark_benchmark: 1792.5741, usercpu_time_millis: 155.885, usercpu_time_millis_testing: 1.07, usercpu_time_millis_training: 154.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 899.945, mean_absolute_error: 0.3967, 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: 0.799, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.879, scimark_benchmark: 1836.3202, usercpu_time_millis: 183.965, usercpu_time_millis_testing: 1.232, usercpu_time_millis_training: 182.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 905.4461, mean_absolute_error: 0.396, 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: 0.7977, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8724, scimark_benchmark: 1852.0126, usercpu_time_millis: 167.679, usercpu_time_millis_testing: 1.299, usercpu_time_millis_training: 166.38,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.0907, 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: 1857.0384, usercpu_time_millis: 5.519, usercpu_time_millis_testing: 0.859, usercpu_time_millis_training: 4.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.0963, 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: 1825.1897, usercpu_time_millis: 6.468, usercpu_time_millis_testing: 1.01, usercpu_time_millis_training: 5.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3813, kb_relative_information_score: -0.0873, 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: 1829.1442, usercpu_time_millis: 5.093, usercpu_time_millis_testing: 0.759, usercpu_time_millis_training: 4.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.1085, 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: 6.643, usercpu_time_millis_testing: 1.09, usercpu_time_millis_training: 5.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.0585, 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: 1840.6995, usercpu_time_millis: 6.784, usercpu_time_millis_testing: 1.128, usercpu_time_millis_training: 5.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.024, 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: 1831.1542, usercpu_time_millis: 6.658, usercpu_time_millis_testing: 1.06, usercpu_time_millis_training: 5.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8001, kappa: 0.5967, kb_relative_information_score: 1437.1317, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8005, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7752, scimark_benchmark: 1835.2642, usercpu_time_millis: 39.606, usercpu_time_millis_testing: 1.181, usercpu_time_millis_training: 38.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0564, 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: 1854.4431, usercpu_time_millis: 9.16, usercpu_time_millis_testing: 1.282, usercpu_time_millis_training: 7.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.1462, 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: 1858.0974, usercpu_time_millis: 9.946, usercpu_time_millis_testing: 1.437, usercpu_time_millis_training: 8.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3813, kb_relative_information_score: -0.9649, 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: 1.0002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1845.7061, usercpu_time_millis: 4.781, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 4.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.7377, kappa: 0.4723, kb_relative_information_score: 735.8786, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7374, prior_entropy: 0.9948, recall: 0.7374, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8859, scimark_benchmark: 1839.1303, usercpu_time_millis: 6.182, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 5.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.1145, 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: 1841.6148, usercpu_time_millis: 5.348, usercpu_time_millis_testing: 0.82, usercpu_time_millis_training: 4.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3813, kb_relative_information_score: -0.2166, 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: 1853.5297, usercpu_time_millis: 5.278, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 4.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.0399, 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: 1834.0639, usercpu_time_millis: 6.478, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 5.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.1108, 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: 1799.6203, usercpu_time_millis: 9.674, usercpu_time_millis_testing: 1.594, usercpu_time_millis_training: 8.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.1116, 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: 9.514, usercpu_time_millis_testing: 1.494, usercpu_time_millis_training: 8.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0297, 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: 1844.6953, usercpu_time_millis: 5.942, usercpu_time_millis_testing: 0.968, usercpu_time_millis_training: 4.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0979, 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: 1838.1471, usercpu_time_millis: 7.699, usercpu_time_millis_testing: 1.217, usercpu_time_millis_training: 6.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.7737, kappa: 0.5436, kb_relative_information_score: 1109.4209, mean_absolute_error: 0.3685, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7739, predictive_accuracy: 0.7742, prior_entropy: 0.9948, recall: 0.7742, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8182, scimark_benchmark: 1853.454, usercpu_time_millis: 6.879, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 6.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: 0.0336, 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: 1856.0123, usercpu_time_millis: 6.908, usercpu_time_millis_testing: 1.174, usercpu_time_millis_training: 5.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 901.8262, mean_absolute_error: 0.3965, 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: 0.7986, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8722, scimark_benchmark: 1851.3986, usercpu_time_millis: 11.744, usercpu_time_millis_testing: 0.687, usercpu_time_millis_training: 11.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, f_measure: 0.7067, kappa: 0.4082, kb_relative_information_score: 500.7304, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7082, predictive_accuracy: 0.7086, prior_entropy: 0.9948, recall: 0.7086, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9139, scimark_benchmark: 1823.1267, usercpu_time_millis: 19.887, usercpu_time_millis_testing: 1.305, usercpu_time_millis_training: 18.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.7793, kappa: 0.5546, kb_relative_information_score: 1431.8576, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.78, predictive_accuracy: 0.7801, prior_entropy: 0.9948, recall: 0.7801, relative_absolute_error: 0.6517, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.792, scimark_benchmark: 1853.5148, usercpu_time_millis: 45.555, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 44.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.7702, kappa: 0.5362, kb_relative_information_score: 1266.0202, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7714, predictive_accuracy: 0.7713, prior_entropy: 0.9948, recall: 0.7713, relative_absolute_error: 0.6988, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8099, scimark_benchmark: 1802.1545, usercpu_time_millis: 17.761, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 17.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.736, kappa: 0.4673, kb_relative_information_score: 524.9518, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7364, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9097, scimark_benchmark: 1854.9533, usercpu_time_millis: 29.269, usercpu_time_millis_testing: 0.912, usercpu_time_millis_training: 28.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.7587, kappa: 0.5131, kb_relative_information_score: 1054.1127, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7602, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8345, scimark_benchmark: 1797.8352, usercpu_time_millis: 23.793, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 23.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7402, kappa: 0.4764, kb_relative_information_score: 784.5616, mean_absolute_error: 0.4111, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7401, predictive_accuracy: 0.7403, prior_entropy: 0.9948, recall: 0.7403, relative_absolute_error: 0.8281, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8743, scimark_benchmark: 1837.345, usercpu_time_millis: 50.822, usercpu_time_millis_testing: 0.904, usercpu_time_millis_training: 49.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.7549, kappa: 0.5093, kb_relative_information_score: 1572.6802, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7585, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8438, scimark_benchmark: 1795.7951, usercpu_time_millis: 26.998, usercpu_time_millis_testing: 0.731, usercpu_time_millis_training: 26.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.7807, kappa: 0.5577, kb_relative_information_score: 1029.0114, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7808, predictive_accuracy: 0.7811, prior_entropy: 0.9948, recall: 0.7811, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8243, scimark_benchmark: 1854.568, usercpu_time_millis: 26.585, usercpu_time_millis_testing: 3.217, usercpu_time_millis_training: 23.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7159, kappa: 0.4267, kb_relative_information_score: 638.6535, mean_absolute_error: 0.4276, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7162, predictive_accuracy: 0.7169, prior_entropy: 0.9948, recall: 0.7169, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8913, scimark_benchmark: 1858.0974, usercpu_time_millis: 30.503, usercpu_time_millis_testing: 2.263, usercpu_time_millis_training: 28.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: 0.0211, 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: 1834.1671, usercpu_time_millis: 5.567, usercpu_time_millis_testing: 0.843, usercpu_time_millis_training: 4.724,

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