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: 0.739, f_measure: 0.73, kappa: 0.1966, kb_relative_information_score: 80.829, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7452, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8609, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.9254, scimark_benchmark: 1869.1029, usercpu_time_millis: 0.079, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.7427, kappa: 0.2388, kb_relative_information_score: 90.471, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7461, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.9294, scimark_benchmark: 1867.725, usercpu_time_millis: 1.099, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 0.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.6954, kappa: 0.0937, kb_relative_information_score: 68.1394, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.713, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.8808, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.9294, scimark_benchmark: 1864.6011, usercpu_time_millis: 1.445, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 1.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.7246, kappa: 0.2029, kb_relative_information_score: 61.5674, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7155, predictive_accuracy: 0.7433, prior_entropy: 0.7928, recall: 0.7433, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4276, root_relative_squared_error: 1.0042, scimark_benchmark: 1872.8797, usercpu_time_millis: 12.257, usercpu_time_millis_testing: 1.812, usercpu_time_millis_training: 10.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, f_measure: 0.7429, kappa: 0.249, kb_relative_information_score: 79.3949, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7375, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.9683, scimark_benchmark: 1874.977, usercpu_time_millis: 10.069, usercpu_time_millis_testing: 1.536, usercpu_time_millis_training: 8.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.7365, kappa: 0.2345, kb_relative_information_score: 75.9808, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.729, predictive_accuracy: 0.7567, prior_entropy: 0.7928, recall: 0.7567, relative_absolute_error: 0.8295, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.9883, scimark_benchmark: 1870.557, usercpu_time_millis: 10.153, usercpu_time_millis_testing: 1.538, usercpu_time_millis_training: 8.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, f_measure: 0.7375, kappa: 0.237, kb_relative_information_score: 79.014, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7303, predictive_accuracy: 0.758, prior_entropy: 0.7928, recall: 0.758, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.411, root_relative_squared_error: 0.9651, scimark_benchmark: 1873.4078, usercpu_time_millis: 8.522, usercpu_time_millis_testing: 1.204, usercpu_time_millis_training: 7.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.736, kappa: 0.2362, kb_relative_information_score: 70.8342, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7282, predictive_accuracy: 0.754, prior_entropy: 0.7928, recall: 0.754, relative_absolute_error: 0.8332, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.9976, scimark_benchmark: 1979.8239, usercpu_time_millis: 7.206, usercpu_time_millis_testing: 0.956, usercpu_time_millis_training: 6.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.7519, kappa: 0.2669, kb_relative_information_score: 86.8378, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7566, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8547, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9262, scimark_benchmark: 1874.3338, usercpu_time_millis: 3.745, usercpu_time_millis_testing: 0.592, usercpu_time_millis_training: 3.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.7488, kappa: 0.2662, kb_relative_information_score: 87.2167, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7444, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.9491, scimark_benchmark: 1871.8506, usercpu_time_millis: 7.521, usercpu_time_millis_testing: 1.134, usercpu_time_millis_training: 6.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.7653, kappa: 0.3108, kb_relative_information_score: 98.2276, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7673, predictive_accuracy: 0.7901, prior_entropy: 0.7928, recall: 0.7901, relative_absolute_error: 0.8381, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.9207, scimark_benchmark: 1872.3546, usercpu_time_millis: 3.747, usercpu_time_millis_testing: 0.558, usercpu_time_millis_training: 3.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7245, f_measure: 0.7506, kappa: 0.2655, kb_relative_information_score: 90.6209, mean_absolute_error: 0.3057, 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: 0.8421, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9364, scimark_benchmark: 1873.4078, usercpu_time_millis: 2.206, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 1.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.754, kappa: 0.2795, kb_relative_information_score: 98.43, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7518, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.9294, scimark_benchmark: 1875.0498, usercpu_time_millis: 1.142, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 0.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.6798, kappa: 0.0531, kb_relative_information_score: 52.117, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7322, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.9353, scimark_benchmark: 1872.4216, usercpu_time_millis: 2.46, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 2.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.7412, kappa: 0.2487, kb_relative_information_score: 81.7276, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7343, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.9664, scimark_benchmark: 1874.5188, usercpu_time_millis: 0.589, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.6591, kb_relative_information_score: 0.5024, 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: 1865.8853, usercpu_time_millis: 1.167, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.6591, kb_relative_information_score: 12.5751, mean_absolute_error: 0.3297, 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: 0.9081, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.949, scimark_benchmark: 1878.2574, usercpu_time_millis: 0.788, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, f_measure: 0.6591, kb_relative_information_score: 10.8066, mean_absolute_error: 0.3286, 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: 0.9051, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.9504, scimark_benchmark: 1868.6447, usercpu_time_millis: 0.326, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.158, 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: 0.9993, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1872.8797, usercpu_time_millis: 1.204, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 0.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.7591, kappa: 0.2937, kb_relative_information_score: 99.9275, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7586, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9262, scimark_benchmark: 1874.977, usercpu_time_millis: 1.912, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 1.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.7176, kappa: 0.1593, kb_relative_information_score: 71.3874, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7289, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.8746, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.9272, scimark_benchmark: 1869.1029, usercpu_time_millis: 0.196, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.7329, kappa: 0.2287, kb_relative_information_score: 78.0768, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7248, predictive_accuracy: 0.75, prior_entropy: 0.7928, recall: 0.75, relative_absolute_error: 0.8228, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.9977, scimark_benchmark: 1871.5019, usercpu_time_millis: 0.189, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.6571, kappa: -0.008, kb_relative_information_score: 38.4034, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.58, predictive_accuracy: 0.758, prior_entropy: 0.7928, recall: 0.758, relative_absolute_error: 0.9054, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.9411, scimark_benchmark: 1869.6309, usercpu_time_millis: 0.204, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.6591, kb_relative_information_score: -0.7348, 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: 0.9989, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1873.0041, usercpu_time_millis: 0.076, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.6824, kappa: 0.0583, kb_relative_information_score: 60.2624, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7117, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.8745, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.9325, scimark_benchmark: 1989.0012, usercpu_time_millis: 1.294, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 1.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7248, f_measure: 0.7538, kappa: 0.2801, kb_relative_information_score: 92.8382, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7508, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.9396, scimark_benchmark: 1875.903, usercpu_time_millis: 1.64, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 1.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, f_measure: 0.7581, kappa: 0.2909, kb_relative_information_score: 102.9627, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.757, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8267, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.9319, scimark_benchmark: 1989.6615, usercpu_time_millis: 0.777, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.7031, kappa: 0.1162, kb_relative_information_score: 66.8275, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7251, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.9273, scimark_benchmark: 1871.2001, usercpu_time_millis: 1.257, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 1.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.7683, kappa: 0.327, kb_relative_information_score: 88.5944, mean_absolute_error: 0.3104, 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: 0.8551, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.9249, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.314, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.6591, kb_relative_information_score: 15.9651, mean_absolute_error: 0.3321, 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: 0.9148, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.9473, scimark_benchmark: 1988.4877, usercpu_time_millis: 0.216, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.7544, kappa: 0.2784, kb_relative_information_score: 97.3456, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7543, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.9306, scimark_benchmark: 1873.4805, usercpu_time_millis: 4.249, usercpu_time_millis_testing: 0.676, usercpu_time_millis_training: 3.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.7406, kappa: 0.2343, kb_relative_information_score: 92.7625, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7409, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8447, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.9249, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.151, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7301, f_measure: 0.7595, kappa: 0.2978, kb_relative_information_score: 89.3063, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7567, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8471, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.9239, scimark_benchmark: 1871.8086, usercpu_time_millis: 2.622, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 2.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, f_measure: 0.7213, kappa: 0.2034, kb_relative_information_score: 51.4347, mean_absolute_error: 0.3056, 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: 0.8416, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.45, root_relative_squared_error: 1.0568, scimark_benchmark: 1861.4992, usercpu_time_millis: 12.8, usercpu_time_millis_testing: 1.956, usercpu_time_millis_training: 10.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.7462, kappa: 0.2561, kb_relative_information_score: 85.3577, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7427, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8332, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.9547, scimark_benchmark: 1874.263, usercpu_time_millis: 9.944, usercpu_time_millis_testing: 1.608, usercpu_time_millis_training: 8.336,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.7491, 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: 1872.9496, usercpu_time_millis: 1.44, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 1.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.6591, kb_relative_information_score: 0.573, 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: 0.9989, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.616, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.6591, kb_relative_information_score: -0.1757, 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: 1873.9387, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.75, kappa: 0.2682, kb_relative_information_score: 92.6563, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7468, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.9419, scimark_benchmark: 1872.9496, usercpu_time_millis: 6.039, usercpu_time_millis_testing: 0.934, usercpu_time_millis_training: 5.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.7567, kappa: 0.2833, kb_relative_information_score: 92.7545, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7592, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.395, root_relative_squared_error: 0.9276, scimark_benchmark: 1872.4881, usercpu_time_millis: 5.809, usercpu_time_millis_testing: 0.948, usercpu_time_millis_training: 4.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, f_measure: 0.756, kappa: 0.2855, kb_relative_information_score: 101.5065, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7538, predictive_accuracy: 0.7794, prior_entropy: 0.7928, recall: 0.7794, relative_absolute_error: 0.8271, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9342, scimark_benchmark: 1872.9496, usercpu_time_millis: 5.059, usercpu_time_millis_testing: 0.747, usercpu_time_millis_training: 4.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.7447, kappa: 0.2452, kb_relative_information_score: 88.4005, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7483, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.395, root_relative_squared_error: 0.9275, scimark_benchmark: 1873.4078, usercpu_time_millis: 4.938, usercpu_time_millis_testing: 0.839, usercpu_time_millis_training: 4.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.7463, kappa: 0.2554, kb_relative_information_score: 89.2077, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7437, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.9286, scimark_benchmark: 1873.4078, usercpu_time_millis: 5.45, usercpu_time_millis_testing: 0.903, usercpu_time_millis_training: 4.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.7532, kappa: 0.2762, kb_relative_information_score: 97.7838, mean_absolute_error: 0.3036, 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: 0.8363, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.9256, scimark_benchmark: 1870.742, usercpu_time_millis: 4.939, usercpu_time_millis_testing: 0.653, usercpu_time_millis_training: 4.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.7588, kappa: 0.2889, kb_relative_information_score: 92.6734, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7629, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.9221, scimark_benchmark: 1872.9496, usercpu_time_millis: 3.634, usercpu_time_millis_testing: 0.647, usercpu_time_millis_training: 2.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.7525, kappa: 0.278, kb_relative_information_score: 87.4697, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7484, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8342, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.9519, scimark_benchmark: 1868.1196, usercpu_time_millis: 1.127, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.7548, kappa: 0.2766, kb_relative_information_score: 88.523, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7588, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.393, root_relative_squared_error: 0.9228, scimark_benchmark: 1874.4489, usercpu_time_millis: 1.757, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 1.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.7613, kappa: 0.2992, kb_relative_information_score: 97.3023, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7619, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.9239, scimark_benchmark: 1871.9601, usercpu_time_millis: 4.09, usercpu_time_millis_testing: 0.662, usercpu_time_millis_training: 3.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.7466, kappa: 0.2539, kb_relative_information_score: 86.189, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.746, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8579, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.9293, scimark_benchmark: 1862.1026, usercpu_time_millis: 4.09, usercpu_time_millis_testing: 0.676, usercpu_time_millis_training: 3.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.76, kappa: 0.2969, kb_relative_information_score: 101.5387, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7589, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.9266, scimark_benchmark: 1871.3742, usercpu_time_millis: 2.855, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 2.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.7527, kappa: 0.271, kb_relative_information_score: 90.0512, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7551, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.396, root_relative_squared_error: 0.9299, scimark_benchmark: 1866.1009, usercpu_time_millis: 0.499, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.7551, kappa: 0.2822, kb_relative_information_score: 100.8739, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7534, predictive_accuracy: 0.7794, prior_entropy: 0.7928, recall: 0.7794, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.9293, scimark_benchmark: 1866.0402, usercpu_time_millis: 0.73, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.7013, kappa: 0.1136, kb_relative_information_score: 63.151, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7651, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8887, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.9335, scimark_benchmark: 1860.4615, usercpu_time_millis: 0.808, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 0.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.7572, kappa: 0.2877, kb_relative_information_score: 101.3472, mean_absolute_error: 0.2959, 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: 0.815, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.9514, scimark_benchmark: 1874.0573, usercpu_time_millis: 0.966, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.7438, kappa: 0.2524, kb_relative_information_score: 84.6271, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7381, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.9578, scimark_benchmark: 1867.1999, usercpu_time_millis: 0.864, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.6591, kb_relative_information_score: 22.0847, mean_absolute_error: 0.3298, 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: 0.9085, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.9436, scimark_benchmark: 1864.3739, usercpu_time_millis: 0.814, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 0.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.6591, kb_relative_information_score: -0.6487, mean_absolute_error: 0.363, 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: 0.9999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1870.2139, usercpu_time_millis: 0.172, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.7487, kappa: 0.2593, kb_relative_information_score: 88.8794, mean_absolute_error: 0.3073, 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: 0.8465, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.9352, scimark_benchmark: 1868.1832, usercpu_time_millis: 0.573, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.6591, kb_relative_information_score: 18.1921, mean_absolute_error: 0.3264, 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: 0.8992, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.946, scimark_benchmark: 1874.0573, usercpu_time_millis: 1.549, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 1.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.6591, kb_relative_information_score: 14.6339, 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: 0.4039, root_relative_squared_error: 0.9484, scimark_benchmark: 1867.6581, usercpu_time_millis: 1.481, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 1.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.75, kappa: 0.2682, kb_relative_information_score: 87.522, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7468, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.9444, scimark_benchmark: 1814.7812, usercpu_time_millis: 0.113, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.7315, kappa: 0.2211, kb_relative_information_score: 71.9023, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7233, predictive_accuracy: 0.7513, prior_entropy: 0.7928, recall: 0.7513, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.9905, scimark_benchmark: 1864.7294, usercpu_time_millis: 12.47, usercpu_time_millis_testing: 1.986, usercpu_time_millis_training: 10.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.7477, kappa: 0.2558, kb_relative_information_score: 87.634, mean_absolute_error: 0.3048, 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: 0.8396, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.402, root_relative_squared_error: 0.944, scimark_benchmark: 1861.3749, usercpu_time_millis: 6.229, usercpu_time_millis_testing: 1.078, usercpu_time_millis_training: 5.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, f_measure: 0.7344, kappa: 0.2295, kb_relative_information_score: 74.3655, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7266, predictive_accuracy: 0.754, prior_entropy: 0.7928, recall: 0.754, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.9771, scimark_benchmark: 1872.4216, usercpu_time_millis: 10.774, usercpu_time_millis_testing: 1.628, usercpu_time_millis_training: 9.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.679, kappa: 0.0504, kb_relative_information_score: 60.8245, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7215, predictive_accuracy: 0.7647, prior_entropy: 0.7928, recall: 0.7647, relative_absolute_error: 0.8809, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.9309, scimark_benchmark: 1869.9351, usercpu_time_millis: 1.818, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 1.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.7534, kappa: 0.2756, kb_relative_information_score: 78.2646, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7526, predictive_accuracy: 0.7794, prior_entropy: 0.7928, recall: 0.7794, relative_absolute_error: 0.8705, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.9285, scimark_benchmark: 1865.5787, usercpu_time_millis: 2.256, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 1.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.6591, kb_relative_information_score: -0.0788, 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: 0.9993, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1817.3082, usercpu_time_millis: 1.086, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 0.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.6591, kb_relative_information_score: -0.7651, 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: 1869.9351, usercpu_time_millis: 0.177, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.14,

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