Task
Supervised Classification on blood-transfusion-service-center

Supervised Classification on blood-transfusion-service-center

Task 145836 Supervised Classification blood-transfusion-service-center 78885 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.7506, kappa: 0.2655, kb_relative_information_score: 89.1373, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7515, predictive_accuracy: 0.7794, prior_entropy: 0.7928, recall: 0.7794, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.398, root_relative_squared_error: 0.9346, scimark_benchmark: 988.4504, usercpu_time_millis: 3.84, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 3.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.6591, kb_relative_information_score: 7.883, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9063, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.9532, scimark_benchmark: 1059.3167, usercpu_time_millis: 1.4, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.6591, kb_relative_information_score: 8.715, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9064, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.9524, scimark_benchmark: 1000.5402, usercpu_time_millis: 2.83, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 2.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.6591, kb_relative_information_score: 0.6745, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1023.2232, usercpu_time_millis: 1.78, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.7502, kappa: 0.2675, kb_relative_information_score: 102.7533, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7478, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8215, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.9398, scimark_benchmark: 1753.8378, usercpu_time_millis: 4.706, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 4.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.7467, kappa: 0.2531, kb_relative_information_score: 92.3918, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7473, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.9294, scimark_benchmark: 1851.4061, usercpu_time_millis: 4.184, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 3.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.6724, kappa: 0.034, kb_relative_information_score: 53.2969, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7326, predictive_accuracy: 0.7647, prior_entropy: 0.7928, recall: 0.7647, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.9353, scimark_benchmark: 2130.899, usercpu_time_millis: 0.733, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 0.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.7453, kappa: 0.2527, kb_relative_information_score: 95.8455, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7421, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.9367, scimark_benchmark: 1858.3038, usercpu_time_millis: 0.373, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.6591, kb_relative_information_score: 0.5196, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1869.7524, usercpu_time_millis: 0.332, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7297, f_measure: 0.7629, kappa: 0.3056, kb_relative_information_score: 94.992, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7625, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8366, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.396, root_relative_squared_error: 0.9299, scimark_benchmark: 2070.9635, usercpu_time_millis: 0.378, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.6591, kb_relative_information_score: -0.6716, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1852.0263, usercpu_time_millis: 0.503, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.735, kappa: 0.2267, kb_relative_information_score: 80.0654, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7279, predictive_accuracy: 0.758, prior_entropy: 0.7928, recall: 0.758, relative_absolute_error: 0.8299, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.9702, scimark_benchmark: 1867.725, usercpu_time_millis: 9.596, usercpu_time_millis_testing: 1.016, usercpu_time_millis_training: 8.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.7415, kappa: 0.248, kb_relative_information_score: 83.8613, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7348, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.958, scimark_benchmark: 1841.3274, usercpu_time_millis: 8.648, usercpu_time_millis_testing: 0.903, usercpu_time_millis_training: 7.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6424, f_measure: 0.7072, kappa: 0.1705, kb_relative_information_score: 46.3453, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7, predictive_accuracy: 0.7166, prior_entropy: 0.7928, recall: 0.7166, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4697, root_relative_squared_error: 1.103, scimark_benchmark: 1862.932, usercpu_time_millis: 12.041, usercpu_time_millis_testing: 1.137, usercpu_time_millis_training: 10.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.7532, kappa: 0.2762, kb_relative_information_score: 97.2745, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7514, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.9309, scimark_benchmark: 1856.0551, usercpu_time_millis: 2.284, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 2.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7282, kappa: 0.2147, kb_relative_information_score: 63.892, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7196, predictive_accuracy: 0.746, prior_entropy: 0.7928, recall: 0.746, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.9926, scimark_benchmark: 1850.0906, usercpu_time_millis: 3.477, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 3.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7301, f_measure: 0.7476, kappa: 0.2566, kb_relative_information_score: 87.7705, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7477, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.9267, scimark_benchmark: 1864.4376, usercpu_time_millis: 2.79, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 2.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.7432, kappa: 0.2474, kb_relative_information_score: 90.2804, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7391, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.8323, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.947, scimark_benchmark: 1864.5074, usercpu_time_millis: 0.27, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.7572, kappa: 0.2877, kb_relative_information_score: 99.9899, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7566, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.9361, scimark_benchmark: 1862.0869, usercpu_time_millis: 0.101, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.7261, kappa: 0.1856, kb_relative_information_score: 59.2584, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7349, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8837, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.9344, scimark_benchmark: 1853.9757, usercpu_time_millis: 0.074, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.7686, kappa: 0.3232, kb_relative_information_score: 99.6877, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7682, predictive_accuracy: 0.7901, prior_entropy: 0.7928, recall: 0.7901, relative_absolute_error: 0.8342, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.9282, scimark_benchmark: 1856.2927, usercpu_time_millis: 0.572, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.6591, kb_relative_information_score: 0.7501, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1738.5695, usercpu_time_millis: 2.01, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 1.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6518, f_measure: 0.7213, kappa: 0.2034, kb_relative_information_score: 56.6043, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7131, predictive_accuracy: 0.734, prior_entropy: 0.7928, recall: 0.734, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4619, root_relative_squared_error: 1.0847, scimark_benchmark: 1797.7505, usercpu_time_millis: 7.154, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 6.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.7423, kappa: 0.2513, kb_relative_information_score: 85.3525, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7356, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.9689, scimark_benchmark: 1846.3729, usercpu_time_millis: 8.241, usercpu_time_millis_testing: 0.801, usercpu_time_millis_training: 7.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.6591, kb_relative_information_score: 0.3, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1861.8971, usercpu_time_millis: 0.935, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 0.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.7517, kappa: 0.2682, kb_relative_information_score: 91.8353, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7533, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.9256, scimark_benchmark: 2123.2953, usercpu_time_millis: 4.236, usercpu_time_millis_testing: 0.493, usercpu_time_millis_training: 3.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.7377, kappa: 0.2361, kb_relative_information_score: 79.6703, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7307, predictive_accuracy: 0.7594, prior_entropy: 0.7928, recall: 0.7594, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.9679, scimark_benchmark: 1817.9997, usercpu_time_millis: 5.582, usercpu_time_millis_testing: 0.619, usercpu_time_millis_training: 4.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.7498, kappa: 0.2688, kb_relative_information_score: 92.7144, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7458, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.9477, scimark_benchmark: 1745.2091, usercpu_time_millis: 2.703, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 2.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.7572, kappa: 0.2877, kb_relative_information_score: 100.047, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7566, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.9248, scimark_benchmark: 2122.6718, usercpu_time_millis: 2.871, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 2.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.7568, kappa: 0.2827, kb_relative_information_score: 85.252, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7609, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.853, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9227, scimark_benchmark: 1816.3177, usercpu_time_millis: 2.721, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 2.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.6591, kb_relative_information_score: 0.1035, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1133.6249, usercpu_time_millis: 0.215, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.7471, kappa: 0.2595, kb_relative_information_score: 93.559, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7432, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.942, scimark_benchmark: 1747.5419, usercpu_time_millis: 1.995, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 1.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.7621, kappa: 0.3024, kb_relative_information_score: 92.6869, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7622, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8431, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9225, scimark_benchmark: 1857.66, usercpu_time_millis: 2.06, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 1.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.6591, kb_relative_information_score: 9.8423, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9027, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.405, root_relative_squared_error: 0.9511, scimark_benchmark: 1867.725, usercpu_time_millis: 0.383, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.746, kappa: 0.2569, kb_relative_information_score: 95.9321, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7417, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.9482, scimark_benchmark: 1863.4543, usercpu_time_millis: 0.459, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.412,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, f_measure: 0.6591, kb_relative_information_score: 9.4838, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.9514, scimark_benchmark: 1738.5053, usercpu_time_millis: 2.087, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 1.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, f_measure: 0.7484, kappa: 0.2608, kb_relative_information_score: 90.9455, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7469, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8449, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.9333, scimark_benchmark: 1859.3126, usercpu_time_millis: 4.237, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 3.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.7638, kappa: 0.3087, kb_relative_information_score: 99.7173, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7628, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.9243, scimark_benchmark: 1752.1591, usercpu_time_millis: 2.476, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 2.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.7583, kappa: 0.2904, kb_relative_information_score: 101.2528, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7583, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9225, scimark_benchmark: 1259.6191, usercpu_time_millis: 0.663, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7164, f_measure: 0.6591, kb_relative_information_score: 11.9514, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.9494, scimark_benchmark: 1861.5737, usercpu_time_millis: 1.842, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 1.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, f_measure: 0.7521, kappa: 0.2735, kb_relative_information_score: 99.7579, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7498, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.9273, scimark_benchmark: 1865.3846, usercpu_time_millis: 1.48, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 1.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.6591, kb_relative_information_score: 0.1701, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1859.7126, usercpu_time_millis: 1.009, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 0.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.6762, kappa: 0.045, kb_relative_information_score: 57.6041, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7634, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.8933, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.9332, scimark_benchmark: 1783.9399, usercpu_time_millis: 0.922, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.7683, kappa: 0.327, kb_relative_information_score: 94.5783, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7652, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.9274, scimark_benchmark: 1810.8431, usercpu_time_millis: 1.94, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 1.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.6591, kb_relative_information_score: 0.4936, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1652.5323, usercpu_time_millis: 0.87, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 0.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6937, f_measure: 0.7334, kappa: 0.227, kb_relative_information_score: 72.6978, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7254, predictive_accuracy: 0.7527, prior_entropy: 0.7928, recall: 0.7527, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.9871, scimark_benchmark: 1394.5363, usercpu_time_millis: 4.31, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 3.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.7477, kappa: 0.2558, kb_relative_information_score: 92.2972, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7491, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.9293, scimark_benchmark: 1425.7642, usercpu_time_millis: 4.43, usercpu_time_millis_testing: 0.63, usercpu_time_millis_training: 3.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.7339, kappa: 0.2242, kb_relative_information_score: 80.1811, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7266, predictive_accuracy: 0.7567, prior_entropy: 0.7928, recall: 0.7567, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.413, root_relative_squared_error: 0.9699, scimark_benchmark: 1280.1983, usercpu_time_millis: 8.87, usercpu_time_millis_testing: 1.09, usercpu_time_millis_training: 7.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.7597, kappa: 0.2973, kb_relative_information_score: 102.3654, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7578, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.9259, scimark_benchmark: 1244.5277, usercpu_time_millis: 4.8, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 4.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: -0.1106, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1286.0203, usercpu_time_millis: 1.25, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 1.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.7416, kappa: 0.2352, kb_relative_information_score: 77.6497, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7458, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8697, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.9266, scimark_benchmark: 1274.1502, usercpu_time_millis: 0.88, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.7648, kappa: 0.3115, kb_relative_information_score: 101.7046, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7644, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.393, root_relative_squared_error: 0.9228, scimark_benchmark: 1280.5697, usercpu_time_millis: 1.51, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 1.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.6591, kb_relative_information_score: 0.3591, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1292.5932, usercpu_time_millis: 1.16, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6644, f_measure: 0.7295, kappa: 0.2223, kb_relative_information_score: 62.173, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7213, predictive_accuracy: 0.7447, prior_entropy: 0.7928, recall: 0.7447, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4382, root_relative_squared_error: 1.0291, scimark_benchmark: 1284.9536, usercpu_time_millis: 12, usercpu_time_millis_testing: 1.34, usercpu_time_millis_training: 10.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.753, kappa: 0.2768, kb_relative_information_score: 93.6911, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7503, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.9434, scimark_benchmark: 1263.7581, usercpu_time_millis: 5.11, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 4.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.7359, kappa: 0.2153, kb_relative_information_score: 82.9827, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7474, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.931, scimark_benchmark: 1322.7527, usercpu_time_millis: 0.14, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6703, f_measure: 0.6591, kb_relative_information_score: 8.1956, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9061, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.953, scimark_benchmark: 1295.033, usercpu_time_millis: 1.29, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 1.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.7157, kappa: 0.1534, kb_relative_information_score: 70.1428, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7315, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.9271, scimark_benchmark: 1338.6863, usercpu_time_millis: 1.96, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 1.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.6591, kb_relative_information_score: -0.2075, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1312.8531, usercpu_time_millis: 0.85, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 0.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.7546, kappa: 0.2778, kb_relative_information_score: 74.5691, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7556, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9265, scimark_benchmark: 1339.5222, usercpu_time_millis: 1.91, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 1.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, f_measure: 0.7694, kappa: 0.3297, kb_relative_information_score: 86.6402, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7666, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.9333, scimark_benchmark: 1254.2753, usercpu_time_millis: 3.47, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 2.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.6591, kb_relative_information_score: 16.2207, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.918, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.9478, scimark_benchmark: 1301.855, usercpu_time_millis: 0.41, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.753, kappa: 0.2768, kb_relative_information_score: 101.6658, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7503, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8267, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.9325, scimark_benchmark: 1290.1441, usercpu_time_millis: 3.61, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 3.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.7513, kappa: 0.2702, kb_relative_information_score: 97.8074, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7494, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.9318, scimark_benchmark: 1279.819, usercpu_time_millis: 4.83, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 4.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.6591, kb_relative_information_score: 22.0665, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.9596, scimark_benchmark: 1324.8835, usercpu_time_millis: 0.23, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.6872, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1299.1236, usercpu_time_millis: 0.48, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.7487, kappa: 0.2593, kb_relative_information_score: 67.4861, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7495, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8639, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.396, root_relative_squared_error: 0.93, scimark_benchmark: 1303.9063, usercpu_time_millis: 0.16, usercpu_time_millis_training: 0.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, f_measure: 0.74, kappa: 0.2404, kb_relative_information_score: 89.5472, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.734, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.942, scimark_benchmark: 1266.5471, usercpu_time_millis: 1.27, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 1.14,

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