Task
Supervised Classification on ilpd

Supervised Classification on ilpd

Task 145848 Supervised Classification ilpd 29462 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.5943, kb_relative_information_score: -0.0565, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1196.6637, usercpu_time_millis: 0.343, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, f_measure: 0.6599, kappa: 0.127, kb_relative_information_score: 58.6305, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6547, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.9326, scimark_benchmark: 1191.9269, usercpu_time_millis: 4.348, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 3.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.6674, kappa: 0.149, kb_relative_information_score: 59.0607, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6602, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.9339, scimark_benchmark: 1194.5294, usercpu_time_millis: 0.963, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.6386, kappa: 0.0824, kb_relative_information_score: 54.7369, mean_absolute_error: 0.3564, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6715, predictive_accuracy: 0.717, prior_entropy: 0.8651, recall: 0.717, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.9295, scimark_benchmark: 1175.7826, usercpu_time_millis: 0.651, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, f_measure: 0.5943, kb_relative_information_score: 29.9836, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9102, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.9449, scimark_benchmark: 1198.1475, usercpu_time_millis: 0.536, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.6849, kappa: 0.1977, kb_relative_information_score: 60.1144, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6787, predictive_accuracy: 0.7067, prior_entropy: 0.8651, recall: 0.7067, relative_absolute_error: 0.8507, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.9386, scimark_benchmark: 1197.2357, usercpu_time_millis: 2.178, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 1.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.6552, kappa: 0.1232, kb_relative_information_score: 64.3935, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6452, predictive_accuracy: 0.6775, prior_entropy: 0.8651, recall: 0.6775, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9438, scimark_benchmark: 1196.4488, usercpu_time_millis: 9.304, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 8.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.5943, kb_relative_information_score: 35.8447, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9114, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.9397, scimark_benchmark: 1189.929, usercpu_time_millis: 0.734, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 0.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.5943, kb_relative_information_score: 0.4913, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1203.2385, usercpu_time_millis: 0.847, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 0.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.6765, kappa: 0.1756, kb_relative_information_score: 62.003, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6694, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.8518, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.9294, scimark_benchmark: 1189.8783, usercpu_time_millis: 3.413, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 3.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.7001, kappa: 0.2353, kb_relative_information_score: 81.5139, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6964, predictive_accuracy: 0.7221, prior_entropy: 0.8651, recall: 0.7221, relative_absolute_error: 0.8207, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.9277, scimark_benchmark: 1195.9513, usercpu_time_millis: 0.113, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5943, kb_relative_information_score: 0.0186, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1197.5299, usercpu_time_millis: 1.462, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 1.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7432, f_measure: 0.5943, kb_relative_information_score: 23.8282, mean_absolute_error: 0.3874, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.9561, scimark_benchmark: 1192.513, usercpu_time_millis: 0.185, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.6386, kappa: 0.0741, kb_relative_information_score: 55.8015, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6412, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8674, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.9298, scimark_benchmark: 1198.2953, usercpu_time_millis: 3.63, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 3.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.5926, kappa: -0.0068, kb_relative_information_score: 45.9171, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5085, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9305, scimark_benchmark: 1199.5431, usercpu_time_millis: 1.913, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 1.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.6705, kappa: 0.1598, kb_relative_information_score: 70.3574, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6626, predictive_accuracy: 0.6947, prior_entropy: 0.8651, recall: 0.6947, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.9282, scimark_benchmark: 1202.5182, usercpu_time_millis: 5.894, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 5.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.662, kappa: 0.1325, kb_relative_information_score: 58.853, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6721, predictive_accuracy: 0.7153, prior_entropy: 0.8651, recall: 0.7153, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.9207, scimark_benchmark: 1197.4853, usercpu_time_millis: 4.674, usercpu_time_millis_testing: 0.775, usercpu_time_millis_training: 3.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.6904, kappa: 0.2066, kb_relative_information_score: 71.9905, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6895, predictive_accuracy: 0.7204, prior_entropy: 0.8651, recall: 0.7204, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.9155, scimark_benchmark: 1204.5095, usercpu_time_millis: 4.774, usercpu_time_millis_testing: 0.63, usercpu_time_millis_training: 4.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.6516, kappa: 0.1068, kb_relative_information_score: 54.4066, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6604, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.422, root_relative_squared_error: 0.9333, scimark_benchmark: 1200.8981, usercpu_time_millis: 3.267, usercpu_time_millis_testing: 0.466, usercpu_time_millis_training: 2.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.5943, kb_relative_information_score: -0.0522, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1202.6826, usercpu_time_millis: 0.771, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 0.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.6846, kappa: 0.1941, kb_relative_information_score: 71.4215, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6796, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.9182, scimark_benchmark: 1182.7899, usercpu_time_millis: 2.793, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 2.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.5943, kb_relative_information_score: -0.7021, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1196.7201, usercpu_time_millis: 0.247, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.5943, kb_relative_information_score: 0.0889, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1197.3735, usercpu_time_millis: 1.31, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 1.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, f_measure: 0.6638, kappa: 0.1369, kb_relative_information_score: 58.8094, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6596, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.421, root_relative_squared_error: 0.9312, scimark_benchmark: 1195.8528, usercpu_time_millis: 3.761, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 3.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.6715, kappa: 0.1575, kb_relative_information_score: 57.4457, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6673, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.9361, scimark_benchmark: 1202.4667, usercpu_time_millis: 0.531, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.6689, kappa: 0.1571, kb_relative_information_score: 64.7555, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6606, predictive_accuracy: 0.6913, prior_entropy: 0.8651, recall: 0.6913, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.933, scimark_benchmark: 1197.2623, usercpu_time_millis: 7.606, usercpu_time_millis_testing: 0.644, usercpu_time_millis_training: 6.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.5934, kappa: -0.0034, kb_relative_information_score: 43.9778, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5088, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.9304, scimark_benchmark: 1192.8564, usercpu_time_millis: 2.041, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 1.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.6613, kappa: 0.1312, kb_relative_information_score: 60.5291, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6549, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.42, root_relative_squared_error: 0.9289, scimark_benchmark: 1194.4246, usercpu_time_millis: 3.736, usercpu_time_millis_testing: 0.516, usercpu_time_millis_training: 3.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.6587, kappa: 0.1251, kb_relative_information_score: 60.8139, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6513, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.9289, scimark_benchmark: 1199.4862, usercpu_time_millis: 4.648, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 4.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, f_measure: 0.6701, kappa: 0.1548, kb_relative_information_score: 58.2838, mean_absolute_error: 0.3523, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6645, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.9266, scimark_benchmark: 1198.3708, usercpu_time_millis: 1.13, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5943, kb_relative_information_score: -0.2966, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1199.8184, usercpu_time_millis: 0.183, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.5943, kb_relative_information_score: 48.9448, mean_absolute_error: 0.3621, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.421, root_relative_squared_error: 0.9312, scimark_benchmark: 1181.1826, usercpu_time_millis: 0.351, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.6737, kappa: 0.1648, kb_relative_information_score: 57.5375, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6682, predictive_accuracy: 0.7033, prior_entropy: 0.8651, recall: 0.7033, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.9369, scimark_benchmark: 1196.3093, usercpu_time_millis: 0.313, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.6587, kappa: 0.1251, kb_relative_information_score: 57.174, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6513, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.9371, scimark_benchmark: 1187.8011, usercpu_time_millis: 8.152, usercpu_time_millis_testing: 0.561, usercpu_time_millis_training: 7.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.6944, kappa: 0.2163, kb_relative_information_score: 74.8006, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6957, predictive_accuracy: 0.7256, prior_entropy: 0.8651, recall: 0.7256, relative_absolute_error: 0.8396, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.913, scimark_benchmark: 1203.5425, usercpu_time_millis: 4.397, usercpu_time_millis_testing: 0.659, usercpu_time_millis_training: 3.738,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7372, f_measure: 0.6826, kappa: 0.1873, kb_relative_information_score: 58.5786, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.679, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.9289, scimark_benchmark: 1203.981, usercpu_time_millis: 1.015, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 0.912,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6826, kappa: 0.1873, kb_relative_information_score: 67.6828, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.679, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.8469, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.919, scimark_benchmark: 1203.7914, usercpu_time_millis: 2.669, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 2.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.6861, kappa: 0.1971, kb_relative_information_score: 76.7102, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6824, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.8339, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.914, scimark_benchmark: 1205.0925, usercpu_time_millis: 4.199, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 3.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.6401, kappa: 0.0796, kb_relative_information_score: 56.3528, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6492, predictive_accuracy: 0.7067, prior_entropy: 0.8651, recall: 0.7067, relative_absolute_error: 0.8676, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.9283, scimark_benchmark: 1206.1926, usercpu_time_millis: 2.625, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 2.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.5918, kappa: -0.0102, kb_relative_information_score: 50.7861, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5081, predictive_accuracy: 0.7084, prior_entropy: 0.8651, recall: 0.7084, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.9342, scimark_benchmark: 1205.9535, usercpu_time_millis: 1.936, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 1.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7055, f_measure: 0.5943, kb_relative_information_score: 42.8505, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.9402, scimark_benchmark: 1201.1944, usercpu_time_millis: 0.221, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.5943, kb_relative_information_score: 0.0948, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1204.6514, usercpu_time_millis: 1.111, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.6669, kappa: 0.1549, kb_relative_information_score: 64.5487, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6583, predictive_accuracy: 0.6861, prior_entropy: 0.8651, recall: 0.6861, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.944, scimark_benchmark: 1196.5095, usercpu_time_millis: 9.703, usercpu_time_millis_testing: 0.625, usercpu_time_millis_training: 9.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.6722, kappa: 0.1621, kb_relative_information_score: 59.4292, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6656, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.8543, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.9345, scimark_benchmark: 1199.5629, usercpu_time_millis: 7.486, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 6.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7488, f_measure: 0.6427, kappa: 0.0886, kb_relative_information_score: 57.1988, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.663, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9209, scimark_benchmark: 1199.6341, usercpu_time_millis: 4.935, usercpu_time_millis_testing: 0.514, usercpu_time_millis_training: 4.421,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.6307, kappa: 0.0657, kb_relative_information_score: 54.4867, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6656, predictive_accuracy: 0.7153, prior_entropy: 0.8651, recall: 0.7153, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.419, root_relative_squared_error: 0.9267, scimark_benchmark: 1199.8929, usercpu_time_millis: 2.368, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 1.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7425, f_measure: 0.6775, kappa: 0.1745, kb_relative_information_score: 63.5498, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6727, predictive_accuracy: 0.7067, prior_entropy: 0.8651, recall: 0.7067, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9254, scimark_benchmark: 1199.7641, usercpu_time_millis: 1.254, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 1.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.5943, kb_relative_information_score: 37.0949, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9083, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.9395, scimark_benchmark: 1198.9899, usercpu_time_millis: 1.7, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 1.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.6451, kappa: 0.0978, kb_relative_information_score: 52.0587, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6817, predictive_accuracy: 0.7204, prior_entropy: 0.8651, recall: 0.7204, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.9258, scimark_benchmark: 1199.4948, usercpu_time_millis: 1.332, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4908, f_measure: 0.5943, kb_relative_information_score: 0.3115, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1199.3289, usercpu_time_millis: 1.046, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 0.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.5943, kb_relative_information_score: 0.3196, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1198.2301, usercpu_time_millis: 0.286, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.6005, kappa: 0.0101, kb_relative_information_score: 47.2317, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6534, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.8896, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.9289, scimark_benchmark: 1748.0895, usercpu_time_millis: 2.605, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 2.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, f_measure: 0.6685, kappa: 0.1525, kb_relative_information_score: 67.072, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6612, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.9253, scimark_benchmark: 1865.0384, usercpu_time_millis: 6.264, usercpu_time_millis_testing: 0.643, usercpu_time_millis_training: 5.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.5934, kappa: -0.0034, kb_relative_information_score: 43.4788, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5088, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.9316, scimark_benchmark: 1749.0603, usercpu_time_millis: 0.733, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 0.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.6193, kappa: 0.0461, kb_relative_information_score: 47.0394, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6778, predictive_accuracy: 0.717, prior_entropy: 0.8651, recall: 0.717, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9297, scimark_benchmark: 1748.9915, usercpu_time_millis: 1.076, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 0.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.6709, kappa: 0.159, kb_relative_information_score: 59.0468, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6639, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.9292, scimark_benchmark: 1804.7859, usercpu_time_millis: 3.841, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 3.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, f_measure: 0.6656, kappa: 0.152, kb_relative_information_score: 51.9332, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6568, predictive_accuracy: 0.6844, prior_entropy: 0.8651, recall: 0.6844, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9651, scimark_benchmark: 1897.5403, usercpu_time_millis: 3.643, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 3.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.6613, kappa: 0.1312, kb_relative_information_score: 57.4444, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6549, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.8596, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.421, root_relative_squared_error: 0.9313, scimark_benchmark: 1797.4354, usercpu_time_millis: 2.424, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 2.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.6265, kappa: 0.0523, kb_relative_information_score: 51.4441, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6436, predictive_accuracy: 0.7084, prior_entropy: 0.8651, recall: 0.7084, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.9247, scimark_benchmark: 1794.0487, usercpu_time_millis: 1.163, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 0.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.6702, kappa: 0.154, kb_relative_information_score: 59.3293, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6664, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.9256, scimark_benchmark: 1786.9544, usercpu_time_millis: 0.945, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 0.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.5943, kb_relative_information_score: 45.4598, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.8876, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.9351, scimark_benchmark: 2141.0324, usercpu_time_millis: 1.172, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 1.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.6736, kappa: 0.1698, kb_relative_information_score: 67.9234, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6657, predictive_accuracy: 0.6947, prior_entropy: 0.8651, recall: 0.6947, relative_absolute_error: 0.8433, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.9278, scimark_benchmark: 1740.5574, usercpu_time_millis: 3.094, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 2.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.5943, kb_relative_information_score: 36.377, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.9386, scimark_benchmark: 1863.4084, usercpu_time_millis: 1.389, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 1.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.5943, kb_relative_information_score: 42.8617, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9005, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.934, scimark_benchmark: 1786.0031, usercpu_time_millis: 0.234, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, f_measure: 0.6787, kappa: 0.1858, kb_relative_information_score: 66.6824, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6712, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.9348, scimark_benchmark: 1886.7778, usercpu_time_millis: 3.316, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 3.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.6696, kappa: 0.1608, kb_relative_information_score: 62.5987, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6612, predictive_accuracy: 0.6895, prior_entropy: 0.8651, recall: 0.6895, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.9326, scimark_benchmark: 1782.7666, usercpu_time_millis: 0.746, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 0.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.6481, kappa: 0.0971, kb_relative_information_score: 55.3847, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6519, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.9299, scimark_benchmark: 1747.5976, usercpu_time_millis: 2.715, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 2.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5943, kb_relative_information_score: -0.1599, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1868.9089, usercpu_time_millis: 0.6, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 0.471,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs