Task
Supervised Classification on haberman

Supervised Classification on haberman

Task 1922 Supervised Classification haberman 213 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

213 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6269, build_cpu_time: 0.0152, build_memory: 636515031.1242, f_measure: 0.6912, kappa: 0.1632, kb_relative_information_score: 156.7271, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6836, predictive_accuracy: 0.7212, prior_entropy: 0.836, recall: 0.7212, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4437, root_relative_squared_error: 1.0057, scimark_benchmark: 936.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6373, build_cpu_time: 0.0367, build_memory: 111521614.2222, f_measure: 0.6929, kappa: 0.1669, kb_relative_information_score: 161.9954, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6864, predictive_accuracy: 0.7245, prior_entropy: 0.836, recall: 0.7245, relative_absolute_error: 0.9064, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.9994, scimark_benchmark: 895.5958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.646, build_cpu_time: 0.059, build_memory: 888720100.5072, f_measure: 0.6956, kappa: 0.174, kb_relative_information_score: 169.4215, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6898, predictive_accuracy: 0.7271, prior_entropy: 0.836, recall: 0.7271, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9959, scimark_benchmark: 922.4611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, build_cpu_time: 0.1102, build_memory: 222371366.5569, f_measure: 0.697, kappa: 0.178, kb_relative_information_score: 181.1163, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6916, predictive_accuracy: 0.7284, prior_entropy: 0.836, recall: 0.7284, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.9937, scimark_benchmark: 941.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6719, build_cpu_time: 0.9777, build_memory: 1610516544.9124, f_measure: 0.6855, kappa: 0.1436, kb_relative_information_score: 221.8222, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6808, predictive_accuracy: 0.7248, prior_entropy: 0.836, recall: 0.7248, relative_absolute_error: 0.8984, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.9695, scimark_benchmark: 943.3781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, build_cpu_time: 0.4622, build_memory: 365772401.5948, f_measure: 0.685, kappa: 0.1419, kb_relative_information_score: 217.5798, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6804, predictive_accuracy: 0.7248, prior_entropy: 0.836, recall: 0.7248, relative_absolute_error: 0.899, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9708, scimark_benchmark: 940.3041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, build_cpu_time: 0.0359, build_memory: 616687740.0941, f_measure: 0.7023, kappa: 0.1978, kb_relative_information_score: 648.6878, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6949, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.1344, scimark_benchmark: 940.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, build_cpu_time: 0.0675, build_memory: 82038172.481, f_measure: 0.6963, kappa: 0.1836, kb_relative_information_score: 589.4056, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6878, predictive_accuracy: 0.718, prior_entropy: 0.836, recall: 0.718, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.1551, scimark_benchmark: 944.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, build_cpu_time: 0.1865, build_memory: 490505639.5373, f_measure: 0.6912, kappa: 0.171, kb_relative_information_score: 522.9011, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.682, predictive_accuracy: 0.7121, prior_entropy: 0.836, recall: 0.7121, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5179, root_relative_squared_error: 1.1739, scimark_benchmark: 928.3063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, build_cpu_time: 0.2437, build_memory: 1016558625.8222, f_measure: 0.6812, kappa: 0.1482, kb_relative_information_score: 427.8682, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6713, predictive_accuracy: 0.6993, prior_entropy: 0.836, recall: 0.6993, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5321, root_relative_squared_error: 1.2061, scimark_benchmark: 934.1739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, build_cpu_time: 0.5159, build_memory: 1522524094.7451, f_measure: 0.6665, kappa: 0.1175, kb_relative_information_score: 298.1598, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6576, predictive_accuracy: 0.6794, prior_entropy: 0.836, recall: 0.6794, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5493, root_relative_squared_error: 1.245, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, f_measure: 0.6769, kappa: 0.1232, kb_relative_information_score: 56.794, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6668, predictive_accuracy: 0.7105, prior_entropy: 0.836, recall: 0.7105, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.0668, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, f_measure: 0.6231, kb_relative_information_score: -3.5526, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4412, root_relative_squared_error: 1.0001, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5518, f_measure: 0.6808, kappa: 0.129, kb_relative_information_score: 704.4554, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6797, predictive_accuracy: 0.7278, prior_entropy: 0.836, recall: 0.7278, relative_absolute_error: 0.698, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5217, root_relative_squared_error: 1.1826, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5629, f_measure: 0.6859, kappa: 0.1479, kb_relative_information_score: 619.9165, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6777, predictive_accuracy: 0.718, prior_entropy: 0.836, recall: 0.718, relative_absolute_error: 0.7232, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5311, root_relative_squared_error: 1.2037, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.6815, kappa: 0.155, kb_relative_information_score: 61.7781, mean_absolute_error: 0.3584, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6728, predictive_accuracy: 0.6951, prior_entropy: 0.836, recall: 0.6951, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4805, root_relative_squared_error: 1.0892, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5365, f_measure: 0.6339, kappa: 0.0712, kb_relative_information_score: -140.9341, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6385, predictive_accuracy: 0.6297, prior_entropy: 0.836, recall: 0.6297, relative_absolute_error: 0.9494, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.6085, root_relative_squared_error: 1.3792, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.561, f_measure: 0.6586, kappa: 0.1222, kb_relative_information_score: 109.8648, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6583, predictive_accuracy: 0.6588, prior_entropy: 0.836, recall: 0.6588, relative_absolute_error: 0.8748, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5841, root_relative_squared_error: 1.324, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.563, f_measure: 0.66, kappa: 0.0738, kb_relative_information_score: 64.7898, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6636, predictive_accuracy: 0.7265, prior_entropy: 0.836, recall: 0.7265, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.448, root_relative_squared_error: 1.0156, scimark_benchmark: 1361.1055, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.6608, kappa: 0.0757, kb_relative_information_score: 41.1745, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6642, predictive_accuracy: 0.7265, prior_entropy: 0.836, recall: 0.7265, relative_absolute_error: 0.9603, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4526, root_relative_squared_error: 1.0259, scimark_benchmark: 1319.6463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5541, f_measure: 0.6562, kappa: 0.1186, kb_relative_information_score: 16.7971, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6569, predictive_accuracy: 0.6556, prior_entropy: 0.836, recall: 0.6556, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.589, root_relative_squared_error: 1.335, scimark_benchmark: 1346.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.6721, kappa: 0.1426, kb_relative_information_score: 66.1397, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6666, predictive_accuracy: 0.6788, prior_entropy: 0.836, recall: 0.6788, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0773, scimark_benchmark: 1315.0767, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5966, f_measure: 0.6774, kappa: 0.1219, kb_relative_information_score: 122.4296, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6695, predictive_accuracy: 0.7167, prior_entropy: 0.836, recall: 0.7167, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4483, root_relative_squared_error: 1.0162, scimark_benchmark: 1368.9272, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.7041, kappa: 0.1936, kb_relative_information_score: 225.9117, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7077, predictive_accuracy: 0.7431, prior_entropy: 0.836, recall: 0.7431, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.9775, scimark_benchmark: 1363.434, usercpu_time_millis: 300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5339, f_measure: 0.6389, kappa: 0.0684, kb_relative_information_score: -47.9413, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6374, predictive_accuracy: 0.6405, prior_entropy: 0.836, recall: 0.6405, relative_absolute_error: 0.9218, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5996, root_relative_squared_error: 1.359, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6295, f_measure: 0.6707, kappa: 0.1021, kb_relative_information_score: 50.1826, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6796, predictive_accuracy: 0.7324, prior_entropy: 0.836, recall: 0.7324, relative_absolute_error: 0.9494, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.9887, scimark_benchmark: 912.5006, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.6252, kappa: -0.0004, kb_relative_information_score: 732.6351, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6092, predictive_accuracy: 0.731, prior_entropy: 0.836, recall: 0.731, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5186, root_relative_squared_error: 1.1755, scimark_benchmark: 1312.3073, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6231, kb_relative_information_score: 769.2686, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.1662, scimark_benchmark: 1315.395, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.572, f_measure: 0.699, kappa: 0.1789, kb_relative_information_score: 831.2638, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7052, predictive_accuracy: 0.7425, prior_entropy: 0.836, recall: 0.7425, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5075, root_relative_squared_error: 1.1502, scimark_benchmark: 1318.1432, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.6923, kappa: 0.1789, kb_relative_information_score: 181.1531, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6836, predictive_accuracy: 0.7092, prior_entropy: 0.836, recall: 0.7092, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4705, root_relative_squared_error: 1.0665, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6104, f_measure: 0.6679, kappa: 0.0991, kb_relative_information_score: 98.9844, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6556, predictive_accuracy: 0.702, prior_entropy: 0.836, recall: 0.702, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.04, scimark_benchmark: 1304.6687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6358, f_measure: 0.7055, kappa: 0.2014, kb_relative_information_score: 214.534, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7016, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 0.8958, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.9797, scimark_benchmark: 1313.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.7273, kappa: 0.2646, kb_relative_information_score: 236.6871, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7241, predictive_accuracy: 0.7493, prior_entropy: 0.836, recall: 0.7493, relative_absolute_error: 0.8911, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9758, scimark_benchmark: 943.1756, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, f_measure: 0.726, kappa: 0.2607, kb_relative_information_score: 248.8691, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7229, predictive_accuracy: 0.7487, prior_entropy: 0.836, recall: 0.7487, relative_absolute_error: 0.8868, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9742, scimark_benchmark: 1372.2145, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.7229, kappa: 0.2523, kb_relative_information_score: 273.1704, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7192, predictive_accuracy: 0.7458, prior_entropy: 0.836, recall: 0.7458, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9743, scimark_benchmark: 854.5188, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, f_measure: 0.7084, kappa: 0.2143, kb_relative_information_score: 264.7772, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7021, predictive_accuracy: 0.7314, prior_entropy: 0.836, recall: 0.7314, relative_absolute_error: 0.8769, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.434, root_relative_squared_error: 0.9837, scimark_benchmark: 915.6729, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5352, f_measure: 0.6602, kappa: 0.0726, kb_relative_information_score: 7.1, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6516, predictive_accuracy: 0.7137, prior_entropy: 0.836, recall: 0.7137, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4502, root_relative_squared_error: 1.0204, scimark_benchmark: 1336.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6324, f_measure: 0.6819, kappa: 0.1318, kb_relative_information_score: 99.7028, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6823, predictive_accuracy: 0.7297, prior_entropy: 0.836, recall: 0.7297, relative_absolute_error: 0.923, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.9899, scimark_benchmark: 1315.395, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6536, f_measure: 0.704, kappa: 0.2009, kb_relative_information_score: 220.2465, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6974, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.8864, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.437, root_relative_squared_error: 0.9905, scimark_benchmark: 1335.4072, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.6959, kappa: 0.179, kb_relative_information_score: 200.8899, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.688, predictive_accuracy: 0.7216, prior_entropy: 0.836, recall: 0.7216, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4422, root_relative_squared_error: 1.0024, scimark_benchmark: 1073.494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6418, f_measure: 0.6292, kappa: 0.0052, kb_relative_information_score: 63.9971, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6215, predictive_accuracy: 0.7281, prior_entropy: 0.836, recall: 0.7281, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.9785, scimark_benchmark: 932.0242, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6386, f_measure: 0.6277, kappa: 0.0033, kb_relative_information_score: 63.9256, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6192, predictive_accuracy: 0.7294, prior_entropy: 0.836, recall: 0.7294, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.9785, scimark_benchmark: 880.8372, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5955, f_measure: 0.7039, kappa: 0.2105, kb_relative_information_score: 159.5164, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6962, predictive_accuracy: 0.7196, prior_entropy: 0.836, recall: 0.7196, relative_absolute_error: 0.9279, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.438, root_relative_squared_error: 0.9927, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5165, f_measure: 0.6268, kappa: 0.0039, kb_relative_information_score: -1541.9359, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6261, predictive_accuracy: 0.732, prior_entropy: 0.836, recall: 0.732, relative_absolute_error: 1.277, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.1296, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, f_measure: 0.6231, kb_relative_information_score: -3.5526, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.5407, predictive_accuracy: 0.7353, prior_entropy: 0.836, recall: 0.7353, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4412, root_relative_squared_error: 1.0001, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5461, f_measure: 0.6514, kappa: 0.0944, kb_relative_information_score: 81.6851, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6476, predictive_accuracy: 0.6556, prior_entropy: 0.836, recall: 0.6556, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5869, root_relative_squared_error: 1.3303, scimark_benchmark: 912.7324, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.6785, kappa: 0.1238, kb_relative_information_score: 65.2328, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6727, predictive_accuracy: 0.7209, prior_entropy: 0.836, recall: 0.7209, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4425, root_relative_squared_error: 1.0029, scimark_benchmark: 1356.2994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6131, f_measure: 0.6804, kappa: 0.128, kb_relative_information_score: 79.3876, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6786, predictive_accuracy: 0.7268, prior_entropy: 0.836, recall: 0.7268, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.9989, scimark_benchmark: 1337.8431, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.7046, kappa: 0.2076, kb_relative_information_score: -225.4456, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.697, predictive_accuracy: 0.7242, prior_entropy: 0.836, recall: 0.7242, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9916, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6258, f_measure: 0.6967, kappa: 0.1955, kb_relative_information_score: 133.6146, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.689, predictive_accuracy: 0.7095, prior_entropy: 0.836, recall: 0.7095, relative_absolute_error: 0.9101, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4553, root_relative_squared_error: 1.032, scimark_benchmark: 1367.8403, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6258, f_measure: 0.6967, kappa: 0.1955, kb_relative_information_score: 133.6146, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.689, predictive_accuracy: 0.7095, prior_entropy: 0.836, recall: 0.7095, relative_absolute_error: 0.9101, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4553, root_relative_squared_error: 1.032, scimark_benchmark: 1361.2664, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.631, f_measure: 0.7, kappa: 0.1812, kb_relative_information_score: 348.4426, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7159, predictive_accuracy: 0.749, prior_entropy: 0.836, recall: 0.749, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4427, root_relative_squared_error: 1.0034, scimark_benchmark: 1321.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6116, f_measure: 0.6738, kappa: 0.1114, kb_relative_information_score: 131.0345, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6654, predictive_accuracy: 0.715, prior_entropy: 0.836, recall: 0.715, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.9766, scimark_benchmark: 1307.7326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.573, f_measure: 0.6659, kappa: 0.0884, kb_relative_information_score: 18.6192, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6576, predictive_accuracy: 0.7144, prior_entropy: 0.836, recall: 0.7144, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.9984, scimark_benchmark: 1310.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5616, f_measure: 0.5412, kappa: 0.0741, kb_relative_information_score: -1523.1727, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6519, predictive_accuracy: 0.5147, prior_entropy: 0.836, recall: 0.5147, relative_absolute_error: 1.2739, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.1366, scimark_benchmark: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.6875, kappa: 0.1469, kb_relative_information_score: 204.5963, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6946, predictive_accuracy: 0.7376, prior_entropy: 0.836, recall: 0.7376, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.979, scimark_benchmark: 1356.3402, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6273, f_measure: 0.675, kappa: 0.1158, kb_relative_information_score: 31.0839, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7021, predictive_accuracy: 0.7422, prior_entropy: 0.836, recall: 0.7422, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.9796, scimark_benchmark: 932.0242, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5218, f_measure: 0.6538, kappa: 0.0582, kb_relative_information_score: 684.7297, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6568, predictive_accuracy: 0.7255, prior_entropy: 0.836, recall: 0.7255, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5239, root_relative_squared_error: 1.1876, scimark_benchmark: 1340.1351, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6402, f_measure: 0.7081, kappa: 0.2034, kb_relative_information_score: 396.8263, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7241, predictive_accuracy: 0.7536, prior_entropy: 0.836, recall: 0.7536, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.9958, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, f_measure: 0.7055, kappa: 0.1962, kb_relative_information_score: 399.7347, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7206, predictive_accuracy: 0.7516, prior_entropy: 0.836, recall: 0.7516, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9971, scimark_benchmark: 924.1296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.6522, kappa: 0.051, kb_relative_information_score: -11.1079, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6422, predictive_accuracy: 0.7127, prior_entropy: 0.836, recall: 0.7127, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.446, root_relative_squared_error: 1.0109, scimark_benchmark: 1319.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5776, f_measure: 0.6925, kappa: 0.1679, kb_relative_information_score: 137.322, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6849, predictive_accuracy: 0.7212, prior_entropy: 0.836, recall: 0.7212, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4535, root_relative_squared_error: 1.028, scimark_benchmark: 1327.9952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5776, f_measure: 0.6925, kappa: 0.1679, kb_relative_information_score: 137.322, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6849, predictive_accuracy: 0.7212, prior_entropy: 0.836, recall: 0.7212, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4535, root_relative_squared_error: 1.028, scimark_benchmark: 1384.8417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.69, kappa: 0.1581, kb_relative_information_score: 91.7033, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6836, predictive_accuracy: 0.7235, prior_entropy: 0.836, recall: 0.7235, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.442, root_relative_squared_error: 1.0018, scimark_benchmark: 898.1296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.7068, kappa: 0.2001, kb_relative_information_score: 896.077, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7178, predictive_accuracy: 0.75, prior_entropy: 0.836, recall: 0.75, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1333, scimark_benchmark: 1227.9507, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.7192, kappa: 0.2411, kb_relative_information_score: 265.2533, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7157, predictive_accuracy: 0.7438, prior_entropy: 0.836, recall: 0.7438, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.971, scimark_benchmark: 1307.9718, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6166, f_measure: 0.6929, kappa: 0.1719, kb_relative_information_score: 164.3479, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6843, predictive_accuracy: 0.7176, prior_entropy: 0.836, recall: 0.7176, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4508, root_relative_squared_error: 1.0219, scimark_benchmark: 1354.686, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5959, f_measure: 0.6904, kappa: 0.1661, kb_relative_information_score: 143.9586, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6813, predictive_accuracy: 0.7144, prior_entropy: 0.836, recall: 0.7144, relative_absolute_error: 0.8971, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4596, root_relative_squared_error: 1.0419, scimark_benchmark: 1309.4998, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.6345, kappa: 0.0163, kb_relative_information_score: 58.4447, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6364, predictive_accuracy: 0.7281, prior_entropy: 0.836, recall: 0.7281, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.9817, scimark_benchmark: 1345.3152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6306, f_measure: 0.6296, kappa: 0.0049, kb_relative_information_score: 51.7412, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6197, predictive_accuracy: 0.7268, prior_entropy: 0.836, recall: 0.7268, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.433, root_relative_squared_error: 0.9815, scimark_benchmark: 1299.9482, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5436, f_measure: 0.6785, kappa: 0.1273, kb_relative_information_score: 72.8612, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6691, predictive_accuracy: 0.7127, prior_entropy: 0.836, recall: 0.7127, relative_absolute_error: 0.9467, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4694, root_relative_squared_error: 1.0641, scimark_benchmark: 1311.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, f_measure: 0.6475, kappa: 0.0423, kb_relative_information_score: 6.9377, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6472, predictive_accuracy: 0.7235, prior_entropy: 0.836, recall: 0.7235, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4425, root_relative_squared_error: 1.003, scimark_benchmark: 1346.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6065, f_measure: 0.7225, kappa: 0.2484, kb_relative_information_score: 887.6231, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7211, predictive_accuracy: 0.749, prior_entropy: 0.836, recall: 0.749, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.501, root_relative_squared_error: 1.1355, scimark_benchmark: 906.4475, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5726, f_measure: 0.6608, kappa: 0.1118, kb_relative_information_score: 72.5446, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6546, predictive_accuracy: 0.6683, prior_entropy: 0.836, recall: 0.6683, relative_absolute_error: 0.8835, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5766, root_relative_squared_error: 1.307, scimark_benchmark: 1371.9645, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, f_measure: 0.7068, kappa: 0.2042, kb_relative_information_score: 185.3532, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.7039, predictive_accuracy: 0.7376, prior_entropy: 0.836, recall: 0.7376, relative_absolute_error: 0.9087, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.427, root_relative_squared_error: 0.9679, scimark_benchmark: 1268.9931, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.6877, kappa: 0.1476, kb_relative_information_score: 204.5083, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6952, predictive_accuracy: 0.7379, prior_entropy: 0.836, recall: 0.7379, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.979, scimark_benchmark: 1311.9814, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5889, f_measure: 0.6827, kappa: 0.1358, kb_relative_information_score: 154.4948, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6774, predictive_accuracy: 0.7229, prior_entropy: 0.836, recall: 0.7229, relative_absolute_error: 0.9216, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4618, root_relative_squared_error: 1.0467, scimark_benchmark: 1338.9438, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.6522, kappa: 0.051, kb_relative_information_score: -11.1079, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6422, predictive_accuracy: 0.7127, prior_entropy: 0.836, recall: 0.7127, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.446, root_relative_squared_error: 1.0109, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, f_measure: 0.6807, kappa: 0.1323, kb_relative_information_score: 124.1404, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6722, predictive_accuracy: 0.716, prior_entropy: 0.836, recall: 0.716, relative_absolute_error: 0.9183, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.9901, scimark_benchmark: 1311.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6406, f_measure: 0.6274, kappa: 0.0028, kb_relative_information_score: 67.5601, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6184, predictive_accuracy: 0.7297, prior_entropy: 0.836, recall: 0.7297, relative_absolute_error: 0.9625, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.9777, scimark_benchmark: 1331.2332, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6301, f_measure: 0.6977, kappa: 0.1803, kb_relative_information_score: 695.5024, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6922, predictive_accuracy: 0.7284, prior_entropy: 0.836, recall: 0.7284, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.1411, scimark_benchmark: 1322.4968, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6571, f_measure: 0.7046, kappa: 0.2076, kb_relative_information_score: -225.4456, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.697, predictive_accuracy: 0.7242, prior_entropy: 0.836, recall: 0.7242, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9913, scimark_benchmark: 1341.4232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.6708, kappa: 0.102, kb_relative_information_score: 39.3767, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6766, predictive_accuracy: 0.7304, prior_entropy: 0.836, recall: 0.7304, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9939, scimark_benchmark: 1331.2332, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6571, f_measure: 0.7046, kappa: 0.2076, kb_relative_information_score: -225.4456, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.697, predictive_accuracy: 0.7242, prior_entropy: 0.836, recall: 0.7242, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9913, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6258, f_measure: 0.6967, kappa: 0.1955, kb_relative_information_score: 133.6146, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.689, predictive_accuracy: 0.7095, prior_entropy: 0.836, recall: 0.7095, relative_absolute_error: 0.9101, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4553, root_relative_squared_error: 1.032, scimark_benchmark: 1342.1678, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.631, f_measure: 0.6815, kappa: 0.1308, kb_relative_information_score: 95.1604, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6811, predictive_accuracy: 0.7288, prior_entropy: 0.836, recall: 0.7288, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9912, scimark_benchmark: 1301.2156, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6244, f_measure: 0.6837, kappa: 0.1369, kb_relative_information_score: 86.2973, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6848, predictive_accuracy: 0.731, prior_entropy: 0.836, recall: 0.731, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9938, scimark_benchmark: 917.9672, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.7046, kappa: 0.2076, kb_relative_information_score: -225.4456, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.697, predictive_accuracy: 0.7242, prior_entropy: 0.836, recall: 0.7242, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9916, scimark_benchmark: 942.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.6878, kappa: 0.1484, kb_relative_information_score: 318.2818, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6888, predictive_accuracy: 0.7327, prior_entropy: 0.836, recall: 0.7327, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9759, scimark_benchmark: 942.9708, usercpu_time_millis: 70, usercpu_time_millis_testing: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6258, f_measure: 0.6967, kappa: 0.1955, kb_relative_information_score: 133.6146, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.689, predictive_accuracy: 0.7095, prior_entropy: 0.836, recall: 0.7095, relative_absolute_error: 0.9101, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4553, root_relative_squared_error: 1.032, scimark_benchmark: 1337.446, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5937, f_measure: 0.6931, kappa: 0.173, kb_relative_information_score: 446.418, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6844, predictive_accuracy: 0.717, prior_entropy: 0.836, recall: 0.717, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.1203, scimark_benchmark: 1064.8317, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.6522, kappa: 0.051, kb_relative_information_score: -11.1079, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6422, predictive_accuracy: 0.7127, prior_entropy: 0.836, recall: 0.7127, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.446, root_relative_squared_error: 1.0109, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.6721, kappa: 0.1426, kb_relative_information_score: 66.1397, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6666, predictive_accuracy: 0.6788, prior_entropy: 0.836, recall: 0.6788, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0773, scimark_benchmark: 1345.7204, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.69, kappa: 0.1581, kb_relative_information_score: 91.7033, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6836, predictive_accuracy: 0.7235, prior_entropy: 0.836, recall: 0.7235, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.442, root_relative_squared_error: 1.0018, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.69, kappa: 0.1581, kb_relative_information_score: 91.7033, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6836, predictive_accuracy: 0.7235, prior_entropy: 0.836, recall: 0.7235, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.442, root_relative_squared_error: 1.0018, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.69, kappa: 0.1581, kb_relative_information_score: 91.7033, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6836, predictive_accuracy: 0.7235, prior_entropy: 0.836, recall: 0.7235, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.442, root_relative_squared_error: 1.0018, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.69, kappa: 0.1581, kb_relative_information_score: 91.7033, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6836, predictive_accuracy: 0.7235, prior_entropy: 0.836, recall: 0.7235, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.442, root_relative_squared_error: 1.0018, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.69, kappa: 0.1581, kb_relative_information_score: 91.7033, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6836, predictive_accuracy: 0.7235, prior_entropy: 0.836, recall: 0.7235, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.442, root_relative_squared_error: 1.0018, scimark_benchmark: 1352.1128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.69, kappa: 0.1581, kb_relative_information_score: 91.7033, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6836, predictive_accuracy: 0.7235, prior_entropy: 0.836, recall: 0.7235, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.442, root_relative_squared_error: 1.0018, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.6522, kappa: 0.051, kb_relative_information_score: -11.1079, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.39, number_of_instances: 3060, precision: 0.6422, predictive_accuracy: 0.7127, prior_entropy: 0.836, recall: 0.7127, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.446, root_relative_squared_error: 1.0109, scimark_benchmark: 1261.7298,

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