Task
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 146065 Supervised Classification monks-problems-2 261942 runs submitted
0 likes downloaded by 6 people , 7 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

261942 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 515.166, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.2453, scimark_benchmark: 1378.865, usercpu_time_millis: 6.841, usercpu_time_millis_testing: 0.872, usercpu_time_millis_training: 5.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: -0.0169, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1376.9616, usercpu_time_millis: 0.734, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 0.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.5213, kb_relative_information_score: -0.1389, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1369.6608, usercpu_time_millis: 0.803, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 0.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.5213, kb_relative_information_score: -1.6728, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9976, scimark_benchmark: 1372.0659, usercpu_time_millis: 0.143, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.5213, kb_relative_information_score: 27.7974, mean_absolute_error: 0.4294, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.961, scimark_benchmark: 1370.5241, usercpu_time_millis: 1.957, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 1.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.5213, kb_relative_information_score: 43.9082, mean_absolute_error: 0.4197, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9313, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9419, scimark_benchmark: 1368.6043, usercpu_time_millis: 1.969, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 1.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.5213, kb_relative_information_score: 0.0194, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1370.219, usercpu_time_millis: 1.302, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 1.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5516, f_measure: 0.5213, kb_relative_information_score: -3.6075, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9972, scimark_benchmark: 1373.5905, usercpu_time_millis: 1.344, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 1.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.5393, kappa: 0.0283, kb_relative_information_score: 49.5323, mean_absolute_error: 0.4149, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7208, predictive_accuracy: 0.6639, prior_entropy: 0.9279, recall: 0.6639, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.932, scimark_benchmark: 1369.6468, usercpu_time_millis: 2.383, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 1.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8529, kappa: 0.6651, kb_relative_information_score: 180.2505, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8776, predictive_accuracy: 0.8619, prior_entropy: 0.9279, recall: 0.8619, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7838, scimark_benchmark: 1366.557, usercpu_time_millis: 2.845, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 2.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.951, kappa: 0.89, kb_relative_information_score: 292.2529, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9535, predictive_accuracy: 0.9517, prior_entropy: 0.9279, recall: 0.9517, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.6318, scimark_benchmark: 1378.8971, usercpu_time_millis: 2.51, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 2.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.5213, kb_relative_information_score: -0.0757, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1365.7859, usercpu_time_millis: 0.469, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.5213, kb_relative_information_score: 48.3827, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9305, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9388, scimark_benchmark: 1369.5156, usercpu_time_millis: 1.696, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 1.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9006, kappa: 0.7754, kb_relative_information_score: 252.9973, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9074, predictive_accuracy: 0.9035, prior_entropy: 0.9279, recall: 0.9035, relative_absolute_error: 0.636, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6903, scimark_benchmark: 1376.1733, usercpu_time_millis: 2.139, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 1.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.5213, kb_relative_information_score: 0.0482, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1369.0715, usercpu_time_millis: 0.62, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 0.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.6546, kappa: 0.2405, kb_relative_information_score: 81.205, mean_absolute_error: 0.3947, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8055, predictive_accuracy: 0.7238, prior_entropy: 0.9279, recall: 0.7238, relative_absolute_error: 0.8758, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8991, scimark_benchmark: 1376.3808, usercpu_time_millis: 0.935, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.995, kappa: 0.9889, kb_relative_information_score: 429.9737, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9279, recall: 0.995, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.4107, scimark_benchmark: 1337.0074, usercpu_time_millis: 0.783, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.5213, kb_relative_information_score: 0.0717, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1373.5715, usercpu_time_millis: 0.355, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.837, kappa: 0.6288, kb_relative_information_score: 161.0888, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.878, predictive_accuracy: 0.8503, prior_entropy: 0.9279, recall: 0.8503, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.813, scimark_benchmark: 1373.0833, usercpu_time_millis: 3.113, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 2.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.5826, kappa: 0.1057, kb_relative_information_score: 66.1168, mean_absolute_error: 0.4057, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7873, predictive_accuracy: 0.6855, prior_entropy: 0.9279, recall: 0.6855, relative_absolute_error: 0.9002, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.9173, scimark_benchmark: 1369.1277, usercpu_time_millis: 0.798, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.5792, kappa: 0.0997, kb_relative_information_score: 74.4169, mean_absolute_error: 0.4017, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7865, predictive_accuracy: 0.6839, prior_entropy: 0.9279, recall: 0.6839, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9082, scimark_benchmark: 1368.1684, usercpu_time_millis: 2.217, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 1.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1683, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1365.2559, usercpu_time_millis: 1.057, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 0.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.5213, kb_relative_information_score: 0.1914, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1367.4917, usercpu_time_millis: 0.209, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9478, kappa: 0.8829, kb_relative_information_score: 296.6706, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9493, predictive_accuracy: 0.9484, prior_entropy: 0.9279, recall: 0.9484, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.6263, scimark_benchmark: 1376.8002, usercpu_time_millis: 4.462, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 3.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.2289, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1369.5407, usercpu_time_millis: 0.763, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 0.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9917, kappa: 0.9816, kb_relative_information_score: 440.2053, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 0.9279, recall: 0.9917, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.3851, scimark_benchmark: 1340.9784, usercpu_time_millis: 3.617, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 3.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.5213, kb_relative_information_score: 34.6536, mean_absolute_error: 0.4261, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9532, scimark_benchmark: 1367.7035, usercpu_time_millis: 2.452, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 2.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, f_measure: 0.5213, kb_relative_information_score: -3.1393, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0004, scimark_benchmark: 1370.9625, usercpu_time_millis: 1.418, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 1.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.55, f_measure: 0.5213, kb_relative_information_score: -1.1635, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9977, scimark_benchmark: 1370.9151, usercpu_time_millis: 0.237, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.6609, kappa: 0.2492, kb_relative_information_score: 84.4345, mean_absolute_error: 0.3923, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7789, predictive_accuracy: 0.7238, prior_entropy: 0.9279, recall: 0.7238, relative_absolute_error: 0.8704, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8989, scimark_benchmark: 1361.31, usercpu_time_millis: 1.222, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 1.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.5213, kb_relative_information_score: 0.0455, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1370.4087, usercpu_time_millis: 0.954, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 548.9907, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.1138, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.1691, scimark_benchmark: 1375.9695, usercpu_time_millis: 4.934, usercpu_time_millis_testing: 0.622, usercpu_time_millis_training: 4.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.5213, kb_relative_information_score: 10.1464, mean_absolute_error: 0.4429, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9826, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9842, scimark_benchmark: 1371.3944, usercpu_time_millis: 1.078, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9867, kappa: 0.9704, kb_relative_information_score: 420.7561, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9867, predictive_accuracy: 0.9867, prior_entropy: 0.9279, recall: 0.9867, relative_absolute_error: 0.3643, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4257, scimark_benchmark: 1369.873, usercpu_time_millis: 4.007, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 3.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5396, f_measure: 0.5213, kb_relative_information_score: -2.2538, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9979, scimark_benchmark: 1376.1756, usercpu_time_millis: 0.69, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 0.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, f_measure: 0.5213, kb_relative_information_score: -0.3005, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1369.0717, usercpu_time_millis: 1.194, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, f_measure: 0.5213, kb_relative_information_score: -0.1471, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1367.2536, usercpu_time_millis: 0.452, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, f_measure: 0.5213, kb_relative_information_score: 25.5764, mean_absolute_error: 0.4325, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9596, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9644, scimark_benchmark: 1367.9146, usercpu_time_millis: 0.493, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4768, f_measure: 0.5213, kb_relative_information_score: -7.8842, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037, scimark_benchmark: 1375.1184, usercpu_time_millis: 0.538, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9119, kappa: 0.8003, kb_relative_information_score: 254.611, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9238, predictive_accuracy: 0.9151, prior_entropy: 0.9279, recall: 0.9151, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.6875, scimark_benchmark: 1373.9364, usercpu_time_millis: 4.863, usercpu_time_millis_testing: 0.572, usercpu_time_millis_training: 4.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9732, kappa: 0.9401, kb_relative_information_score: 344.9805, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9739, predictive_accuracy: 0.9734, prior_entropy: 0.9279, recall: 0.9734, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.5517, scimark_benchmark: 1370.3389, usercpu_time_millis: 3.232, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 2.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5213, kb_relative_information_score: -6.3918, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0022, scimark_benchmark: 1370.2549, usercpu_time_millis: 0.41, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 46.7551, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7754, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9393, scimark_benchmark: 1375.2331, usercpu_time_millis: 3.226, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 2.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.5213, kb_relative_information_score: 8.1997, mean_absolute_error: 0.4421, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.985, scimark_benchmark: 1377.885, usercpu_time_millis: 1.585, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 1.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.5213, kb_relative_information_score: 0.0855, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1374.3504, usercpu_time_millis: 0.255, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.5213, kb_relative_information_score: 11.0273, mean_absolute_error: 0.4429, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9826, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9845, scimark_benchmark: 1377.7651, usercpu_time_millis: 0.625, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 0.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7609, kappa: 0.4576, kb_relative_information_score: 190.9107, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7646, predictive_accuracy: 0.7704, prior_entropy: 0.9279, recall: 0.7704, relative_absolute_error: 0.6943, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.816, scimark_benchmark: 1375.1545, usercpu_time_millis: 0.06, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9717, kappa: 0.937, kb_relative_information_score: 470.8935, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9717, predictive_accuracy: 0.9717, prior_entropy: 0.9279, recall: 0.9717, relative_absolute_error: 0.2541, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3718, scimark_benchmark: 1367.5278, usercpu_time_millis: 5.717, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 5.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.6975, kappa: 0.3257, kb_relative_information_score: 106.5489, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8128, predictive_accuracy: 0.7488, prior_entropy: 0.9279, recall: 0.7488, relative_absolute_error: 0.8471, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8706, scimark_benchmark: 1370.8645, usercpu_time_millis: 2.549, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 2.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.6487, kappa: 0.2292, kb_relative_information_score: 98.7817, mean_absolute_error: 0.3874, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8039, predictive_accuracy: 0.7205, prior_entropy: 0.9279, recall: 0.7205, relative_absolute_error: 0.8596, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8821, scimark_benchmark: 1372.0818, usercpu_time_millis: 2.698, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 2.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 515.7601, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.2394, scimark_benchmark: 1373.9662, usercpu_time_millis: 3.468, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 3.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.5475, kappa: 0.0442, kb_relative_information_score: 52.3587, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7798, predictive_accuracy: 0.6689, prior_entropy: 0.9279, recall: 0.6689, relative_absolute_error: 0.9166, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.9324, scimark_benchmark: 1373.8005, usercpu_time_millis: 3.624, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 3.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5032, f_measure: 0.5213, kb_relative_information_score: -3.8107, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0002, scimark_benchmark: 1369.9137, usercpu_time_millis: 1.446, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 1.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5439, f_measure: 0.5213, kb_relative_information_score: -1.794, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9984, scimark_benchmark: 1373.557, usercpu_time_millis: 1.794, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 1.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.5319, kappa: 0.0157, kb_relative_information_score: 38.1775, mean_absolute_error: 0.4229, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6908, predictive_accuracy: 0.6606, prior_entropy: 0.9279, recall: 0.6606, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4509, root_relative_squared_error: 0.95, scimark_benchmark: 1368.7952, usercpu_time_millis: 2.461, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 2.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.5213, kb_relative_information_score: -1.2874, mean_absolute_error: 0.4494, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.998, scimark_benchmark: 1996.5859, usercpu_time_millis: 0.79, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.5213, kb_relative_information_score: 16.3383, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9758, scimark_benchmark: 1801.5028, usercpu_time_millis: 0.73, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 0.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6462, f_measure: 0.5213, kb_relative_information_score: 20.2954, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.963, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9752, scimark_benchmark: 1790.5129, usercpu_time_millis: 0.63, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.8374, kappa: 0.6298, kb_relative_information_score: 164.9266, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.876, predictive_accuracy: 0.8503, prior_entropy: 0.9279, recall: 0.8503, relative_absolute_error: 0.7684, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.8031, scimark_benchmark: 1424.0753, usercpu_time_millis: 3, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 2.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7055, f_measure: 0.5412, kappa: 0.0209, kb_relative_information_score: 38.6134, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6058, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9379, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9546, scimark_benchmark: 1563.1199, usercpu_time_millis: 1.13, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 0.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.995, kappa: 0.989, kb_relative_information_score: 460.0606, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9951, predictive_accuracy: 0.995, prior_entropy: 0.9279, recall: 0.995, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3504, scimark_benchmark: 1421.6579, usercpu_time_millis: 4.97, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 4.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7286, f_measure: 0.5384, kappa: 0.025, kb_relative_information_score: 43.3213, mean_absolute_error: 0.4197, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6797, predictive_accuracy: 0.6622, prior_entropy: 0.9279, recall: 0.6622, relative_absolute_error: 0.9313, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.449, root_relative_squared_error: 0.946, scimark_benchmark: 1480.6497, usercpu_time_millis: 2.98, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 2.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.5448, kappa: 0.0342, kb_relative_information_score: 44.8297, mean_absolute_error: 0.4187, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6759, predictive_accuracy: 0.6639, prior_entropy: 0.9279, recall: 0.6639, relative_absolute_error: 0.9289, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.9445, scimark_benchmark: 1469.6848, usercpu_time_millis: 0.28, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5441, f_measure: 0.5213, kb_relative_information_score: -1.8134, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9986, scimark_benchmark: 1375.8259, usercpu_time_millis: 1.02, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 0.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 505.9527, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.2025, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.262, scimark_benchmark: 1422.1691, usercpu_time_millis: 3.41, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 2.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.7843, kappa: 0.5102, kb_relative_information_score: 127.5155, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8397, predictive_accuracy: 0.807, prior_entropy: 0.9279, recall: 0.807, relative_absolute_error: 0.814, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.843, scimark_benchmark: 1359.3366, usercpu_time_millis: 1.13, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 0.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.5548, kappa: 0.0567, kb_relative_information_score: 51.7467, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7813, predictive_accuracy: 0.6722, prior_entropy: 0.9279, recall: 0.6722, relative_absolute_error: 0.9153, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.9305, scimark_benchmark: 1417.091, usercpu_time_millis: 1.41, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 1.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.5872, kappa: 0.111, kb_relative_information_score: 67.4102, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7555, predictive_accuracy: 0.6855, prior_entropy: 0.9279, recall: 0.6855, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9146, scimark_benchmark: 1417.0967, usercpu_time_millis: 0.47, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9423, kappa: 0.8702, kb_relative_information_score: 305.5748, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9461, predictive_accuracy: 0.9434, prior_entropy: 0.9279, recall: 0.9434, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.6128, scimark_benchmark: 1450.2979, usercpu_time_millis: 1.42, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 1.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.5475, kappa: 0.0442, kb_relative_information_score: 59.3612, mean_absolute_error: 0.4094, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7798, predictive_accuracy: 0.6689, prior_entropy: 0.9279, recall: 0.6689, relative_absolute_error: 0.9084, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.9233, scimark_benchmark: 1454.9314, usercpu_time_millis: 1.24, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7273, kappa: 0.38, kb_relative_information_score: 126.4853, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7589, predictive_accuracy: 0.7537, prior_entropy: 0.9279, recall: 0.7537, relative_absolute_error: 0.8089, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8523, scimark_benchmark: 1420.6956, usercpu_time_millis: 0.15, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9834, kappa: 0.9631, kb_relative_information_score: 430.2874, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9834, predictive_accuracy: 0.9834, prior_entropy: 0.9279, recall: 0.9834, relative_absolute_error: 0.3469, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.407, scimark_benchmark: 1437.2926, usercpu_time_millis: 4.88, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 4.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.6772, kappa: 0.2854, kb_relative_information_score: 106.0329, mean_absolute_error: 0.3828, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8122, predictive_accuracy: 0.7371, prior_entropy: 0.9279, recall: 0.7371, relative_absolute_error: 0.8492, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8729, scimark_benchmark: 1433.6617, usercpu_time_millis: 2.01, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 1.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.5289, kappa: 0.0127, kb_relative_information_score: 39.3549, mean_absolute_error: 0.4223, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7762, predictive_accuracy: 0.6606, prior_entropy: 0.9279, recall: 0.6606, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9477, scimark_benchmark: 1477.8518, usercpu_time_millis: 0.59, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5392, f_measure: 0.5213, kb_relative_information_score: -1.9195, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9983, scimark_benchmark: 1443.0099, usercpu_time_millis: 0.49, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5664, f_measure: 0.5213, kb_relative_information_score: 3.0981, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9939, scimark_benchmark: 1523.9449, usercpu_time_millis: 1.22, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.7001, kappa: 0.3311, kb_relative_information_score: 92.5572, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8137, predictive_accuracy: 0.7504, prior_entropy: 0.9279, recall: 0.7504, relative_absolute_error: 0.8598, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8836, scimark_benchmark: 1369.158, usercpu_time_millis: 0.34, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.5213, kb_relative_information_score: 63.3545, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.9219, scimark_benchmark: 1429.7646, usercpu_time_millis: 1.16, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 1.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.5213, kb_relative_information_score: 19.2207, mean_absolute_error: 0.4367, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9728, scimark_benchmark: 1390.1345, usercpu_time_millis: 0.5, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5374, f_measure: 0.5213, kb_relative_information_score: -5.2692, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9989, scimark_benchmark: 1408.1199, usercpu_time_millis: 0.68, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 0.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9339, kappa: 0.8513, kb_relative_information_score: 276.5737, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9371, predictive_accuracy: 0.9351, prior_entropy: 0.9279, recall: 0.9351, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.655, scimark_benchmark: 1485.1915, usercpu_time_millis: 0.73, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.7867, kappa: 0.516, kb_relative_information_score: 143.1335, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8499, predictive_accuracy: 0.8103, prior_entropy: 0.9279, recall: 0.8103, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.8279, scimark_benchmark: 1420.8439, usercpu_time_millis: 2.91, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 2.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.5213, kb_relative_information_score: 47.2934, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9402, scimark_benchmark: 1529.6858, usercpu_time_millis: 1.31, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 1.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5213, kb_relative_information_score: -4.8354, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0005, scimark_benchmark: 1417.421, usercpu_time_millis: 1.18, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9783, kappa: 0.9516, kb_relative_information_score: 347.8478, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9785, predictive_accuracy: 0.9784, prior_entropy: 0.9279, recall: 0.9784, relative_absolute_error: 0.4916, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.5471, scimark_benchmark: 1451.9978, usercpu_time_millis: 5.15, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 4.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5159, f_measure: 0.5213, kb_relative_information_score: -3.4262, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.999, scimark_benchmark: 1401.6091, usercpu_time_millis: 0.37, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 546.9388, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.1689, scimark_benchmark: 1372.4081, usercpu_time_millis: 4.05, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 3.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6114, f_measure: 0.5213, kb_relative_information_score: 3.3869, mean_absolute_error: 0.4465, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9923, scimark_benchmark: 1438.5396, usercpu_time_millis: 0.35, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.5243, kappa: 0.003, kb_relative_information_score: 37.1014, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6037, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9397, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9493, scimark_benchmark: 1473.3924, usercpu_time_millis: 1.14, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9867, kappa: 0.9704, kb_relative_information_score: 418.1163, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9867, predictive_accuracy: 0.9867, prior_entropy: 0.9279, recall: 0.9867, relative_absolute_error: 0.3674, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.435, scimark_benchmark: 1418.141, usercpu_time_millis: 7.51, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 6.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.5213, kb_relative_information_score: 30.8409, mean_absolute_error: 0.4283, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9502, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9613, scimark_benchmark: 1416.3958, usercpu_time_millis: 0.45, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 548.8526, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.1723, scimark_benchmark: 1440.1407, usercpu_time_millis: 2.69, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 2.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6174, f_measure: 0.5296, kappa: -0.0078, kb_relative_information_score: 17.5631, mean_absolute_error: 0.4318, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5318, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9831, scimark_benchmark: 1475.1491, usercpu_time_millis: 1.09, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9616, kappa: 0.9144, kb_relative_information_score: 442.9247, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9617, predictive_accuracy: 0.9617, prior_entropy: 0.9279, recall: 0.9617, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.429, scimark_benchmark: 1510.2163, usercpu_time_millis: 1.98, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 1.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9884, kappa: 0.9744, kb_relative_information_score: 450.2124, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9887, predictive_accuracy: 0.9884, prior_entropy: 0.9279, recall: 0.9884, relative_absolute_error: 0.3088, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3757, scimark_benchmark: 1397.8584, usercpu_time_millis: 1.66, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9816, kappa: 0.9591, kb_relative_information_score: 356.2894, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9817, predictive_accuracy: 0.9817, prior_entropy: 0.9279, recall: 0.9817, relative_absolute_error: 0.4783, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.253, root_relative_squared_error: 0.533, scimark_benchmark: 1448.1084, usercpu_time_millis: 3.12, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 2.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.7618, kappa: 0.4614, kb_relative_information_score: 128.3747, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8385, predictive_accuracy: 0.792, prior_entropy: 0.9279, recall: 0.792, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8454, scimark_benchmark: 1456.1103, usercpu_time_millis: 3.32, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 2.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5199, f_measure: 0.5213, kb_relative_information_score: -2.6469, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9982, scimark_benchmark: 1365.9821, usercpu_time_millis: 1.17, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.5213, kb_relative_information_score: 28.414, mean_absolute_error: 0.431, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9562, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9616, scimark_benchmark: 1327.3987, usercpu_time_millis: 1.47, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 1.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: -0.0147, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1446.7478, usercpu_time_millis: 0.13, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.06,

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