OpenML
Supervised Classification on fri_c4_250_50

Supervised Classification on fri_c4_250_50

Task 3781 Supervised Classification fri_c4_250_50 600 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

600 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8116, kappa: 0.6204, kb_relative_information_score: 68.145, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8119, predictive_accuracy: 0.812, prior_entropy: 0.9955, recall: 0.812, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8166, scimark_benchmark: 1322.7257, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8116, kappa: 0.6204, kb_relative_information_score: 68.145, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8119, predictive_accuracy: 0.812, prior_entropy: 0.9955, recall: 0.812, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8166, scimark_benchmark: 1281.7531, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7796, kappa: 0.5557, kb_relative_information_score: 116.6512, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7797, predictive_accuracy: 0.78, prior_entropy: 0.9955, recall: 0.78, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8357, scimark_benchmark: 1320.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.808, kappa: 0.6135, kb_relative_information_score: 134.0872, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.808, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7735, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.7988, kappa: 0.5943, kb_relative_information_score: 103.9258, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8013, predictive_accuracy: 0.8, prior_entropy: 0.9955, recall: 0.8, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7628, scimark_benchmark: 1314.7093, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, f_measure: 0.608, kappa: 0.211, kb_relative_information_score: 27.3145, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.608, predictive_accuracy: 0.608, prior_entropy: 0.9955, recall: 0.608, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.524, root_relative_squared_error: 1.0514, scimark_benchmark: 1331.5882, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.808, kappa: 0.6135, kb_relative_information_score: 134.0872, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.808, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7735, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7796, kappa: 0.5557, kb_relative_information_score: 116.6512, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7797, predictive_accuracy: 0.78, prior_entropy: 0.9955, recall: 0.78, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8357, scimark_benchmark: 1335.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7796, kappa: 0.5557, kb_relative_information_score: 116.6512, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7797, predictive_accuracy: 0.78, prior_entropy: 0.9955, recall: 0.78, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8357, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.808, kappa: 0.6135, kb_relative_information_score: 134.0872, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.808, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7735, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7796, kappa: 0.5557, kb_relative_information_score: 116.6512, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7797, predictive_accuracy: 0.78, prior_entropy: 0.9955, recall: 0.78, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8357, scimark_benchmark: 1342.6911, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 1350.073, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8116, kappa: 0.6204, kb_relative_information_score: 68.145, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8119, predictive_accuracy: 0.812, prior_entropy: 0.9955, recall: 0.812, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8166, scimark_benchmark: 1311.9814, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 134.3123, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7743, scimark_benchmark: 1343.4596, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7796, kappa: 0.5557, kb_relative_information_score: 116.6512, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7797, predictive_accuracy: 0.78, prior_entropy: 0.9955, recall: 0.78, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8357, scimark_benchmark: 1334.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7796, kappa: 0.5557, kb_relative_information_score: 116.6512, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7797, predictive_accuracy: 0.78, prior_entropy: 0.9955, recall: 0.78, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8357, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5982, f_measure: 0.5757, kappa: 0.1454, kb_relative_information_score: 31.2507, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5755, predictive_accuracy: 0.576, prior_entropy: 0.9955, recall: 0.576, relative_absolute_error: 0.8739, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6327, root_relative_squared_error: 1.2696, scimark_benchmark: 1064.8317, usercpu_time_millis: 7300, usercpu_time_millis_testing: 7300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7835, kappa: 0.5635, kb_relative_information_score: 104.2526, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7838, predictive_accuracy: 0.784, prior_entropy: 0.9955, recall: 0.784, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8064, scimark_benchmark: 1337.5749, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7796, kappa: 0.5557, kb_relative_information_score: 116.6512, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7797, predictive_accuracy: 0.78, prior_entropy: 0.9955, recall: 0.78, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8357, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7835, kappa: 0.5635, kb_relative_information_score: 104.2526, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7838, predictive_accuracy: 0.784, prior_entropy: 0.9955, recall: 0.784, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8064, scimark_benchmark: 1309.4998, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.819, kappa: 0.6351, kb_relative_information_score: 137.361, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8212, predictive_accuracy: 0.82, prior_entropy: 0.9955, recall: 0.82, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7599, scimark_benchmark: 1342.1678, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7796, kappa: 0.5557, kb_relative_information_score: 116.6512, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7797, predictive_accuracy: 0.78, prior_entropy: 0.9955, recall: 0.78, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8357, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7796, kappa: 0.5557, kb_relative_information_score: 116.6512, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7797, predictive_accuracy: 0.78, prior_entropy: 0.9955, recall: 0.78, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8357, scimark_benchmark: 950.6776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.819, kappa: 0.6351, kb_relative_information_score: 137.361, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8212, predictive_accuracy: 0.82, prior_entropy: 0.9955, recall: 0.82, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7599, scimark_benchmark: 833.3193, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.8119, kappa: 0.6213, kb_relative_information_score: 135.163, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8119, predictive_accuracy: 0.812, prior_entropy: 0.9955, recall: 0.812, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7977, scimark_benchmark: 1313.5052, usercpu_time_millis: 460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.8065, kappa: 0.61, kb_relative_information_score: 131.8549, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8102, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4767, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8431, scimark_benchmark: 1337.8643, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7796, kappa: 0.5557, kb_relative_information_score: 116.6512, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7797, predictive_accuracy: 0.78, prior_entropy: 0.9955, recall: 0.78, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8357, scimark_benchmark: 1338.9438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7796, kappa: 0.5557, kb_relative_information_score: 116.6512, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7797, predictive_accuracy: 0.78, prior_entropy: 0.9955, recall: 0.78, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8357, scimark_benchmark: 1327.2954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.6463, kappa: 0.2869, kb_relative_information_score: 70.356, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6467, predictive_accuracy: 0.648, prior_entropy: 0.9955, recall: 0.648, relative_absolute_error: 0.7205, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5633, root_relative_squared_error: 1.1301, scimark_benchmark: 1360.2771, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7835, kappa: 0.5635, kb_relative_information_score: 104.2526, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7838, predictive_accuracy: 0.784, prior_entropy: 0.9955, recall: 0.784, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8064, scimark_benchmark: 883.2709, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.7837, kappa: 0.5641, kb_relative_information_score: 125.521, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9955, recall: 0.784, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8598, scimark_benchmark: 1283.7763, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7796, kappa: 0.5557, kb_relative_information_score: 116.6512, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7797, predictive_accuracy: 0.78, prior_entropy: 0.9955, recall: 0.78, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8357, scimark_benchmark: 1319.7801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5965, f_measure: 0.5965, kappa: 0.1894, kb_relative_information_score: 27.7643, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5974, predictive_accuracy: 0.596, prior_entropy: 0.9955, recall: 0.596, relative_absolute_error: 0.8984, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.0788, scimark_benchmark: 1347.8736, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.6248, kappa: 0.2439, kb_relative_information_score: 50.7054, mean_absolute_error: 0.3991, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6262, predictive_accuracy: 0.628, prior_entropy: 0.9955, recall: 0.628, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5881, root_relative_squared_error: 1.1799, scimark_benchmark: 1317.1597, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.5235, kappa: 0.04, kb_relative_information_score: 9.8045, mean_absolute_error: 0.476, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5231, predictive_accuracy: 0.524, prior_entropy: 0.9955, recall: 0.524, relative_absolute_error: 0.9581, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6899, root_relative_squared_error: 1.3843, scimark_benchmark: 923.6051, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, f_measure: 0.5635, kappa: 0.1207, kb_relative_information_score: 29.9874, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5632, predictive_accuracy: 0.564, prior_entropy: 0.9955, recall: 0.564, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6603, root_relative_squared_error: 1.3249, scimark_benchmark: 1311.1837, usercpu_time_millis: 610, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7835, kappa: 0.5635, kb_relative_information_score: 104.2526, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7838, predictive_accuracy: 0.784, prior_entropy: 0.9955, recall: 0.784, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8064, scimark_benchmark: 1168.3268, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.7951, kappa: 0.587, kb_relative_information_score: 79.0458, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7964, predictive_accuracy: 0.796, prior_entropy: 0.9955, recall: 0.796, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7888, scimark_benchmark: 1360.2771, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.7862, kappa: 0.5691, kb_relative_information_score: 80.2936, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7902, predictive_accuracy: 0.788, prior_entropy: 0.9955, recall: 0.788, relative_absolute_error: 0.7252, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.7887, scimark_benchmark: 1338.9438, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7791, kappa: 0.5546, kb_relative_information_score: 135.7347, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7802, predictive_accuracy: 0.78, prior_entropy: 0.9955, recall: 0.78, relative_absolute_error: 0.4595, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8579, scimark_benchmark: 1358.4523, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.6248, kappa: 0.2439, kb_relative_information_score: 50.7054, mean_absolute_error: 0.3991, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6262, predictive_accuracy: 0.628, prior_entropy: 0.9955, recall: 0.628, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5881, root_relative_squared_error: 1.1799, scimark_benchmark: 1290.7136, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7796, kappa: 0.5557, kb_relative_information_score: 116.6512, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7797, predictive_accuracy: 0.78, prior_entropy: 0.9955, recall: 0.78, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8357, scimark_benchmark: 1339.7143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.6404, kappa: 0.2772, kb_relative_information_score: 44.7054, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6411, predictive_accuracy: 0.64, prior_entropy: 0.9955, recall: 0.64, relative_absolute_error: 0.8375, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0112, scimark_benchmark: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5507, f_measure: 0.5418, kappa: 0.0995, kb_relative_information_score: 19.896, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5556, predictive_accuracy: 0.544, prior_entropy: 0.9955, recall: 0.544, relative_absolute_error: 0.9178, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6753, root_relative_squared_error: 1.3549, scimark_benchmark: 1413.089, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5896, f_measure: 0.6084, kappa: 0.213, kb_relative_information_score: 14.5188, mean_absolute_error: 0.4729, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6091, predictive_accuracy: 0.608, prior_entropy: 0.9955, recall: 0.608, relative_absolute_error: 0.9517, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.008, scimark_benchmark: 1313.9606, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.597, f_measure: 0.6005, kappa: 0.1979, kb_relative_information_score: 27.9352, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6018, predictive_accuracy: 0.6, prior_entropy: 0.9955, recall: 0.6, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5378, root_relative_squared_error: 1.0791, scimark_benchmark: 1419.2433, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.5235, kappa: 0.04, kb_relative_information_score: 9.7277, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5231, predictive_accuracy: 0.524, prior_entropy: 0.9955, recall: 0.524, relative_absolute_error: 0.9585, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6869, root_relative_squared_error: 1.3782, scimark_benchmark: 1334.8495, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.7118, kappa: 0.4284, kb_relative_information_score: 61.4539, mean_absolute_error: 0.3897, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7227, predictive_accuracy: 0.712, prior_entropy: 0.9955, recall: 0.712, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.9006, scimark_benchmark: 1300.7817, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7479, kappa: 0.4924, kb_relative_information_score: 105.9763, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7479, predictive_accuracy: 0.748, prior_entropy: 0.9955, recall: 0.748, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8242, scimark_benchmark: 1344.7246, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.7364, kappa: 0.4706, kb_relative_information_score: 64.8686, mean_absolute_error: 0.3872, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7376, predictive_accuracy: 0.736, prior_entropy: 0.9955, recall: 0.736, relative_absolute_error: 0.7794, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8842, scimark_benchmark: 1307.7326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5626, f_measure: 0.5664, kappa: 0.1259, kb_relative_information_score: 32.0057, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.566, predictive_accuracy: 0.568, prior_entropy: 0.9955, recall: 0.568, relative_absolute_error: 0.8695, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3188, scimark_benchmark: 1333.1945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.7838, kappa: 0.5647, kb_relative_information_score: 139.108, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7838, predictive_accuracy: 0.784, prior_entropy: 0.9955, recall: 0.784, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9202, scimark_benchmark: 1331.0755, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.819, kappa: 0.6351, kb_relative_information_score: 137.361, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8212, predictive_accuracy: 0.82, prior_entropy: 0.9955, recall: 0.82, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7599, scimark_benchmark: 942.6843, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.7838, kappa: 0.5647, kb_relative_information_score: 123.5508, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7838, predictive_accuracy: 0.784, prior_entropy: 0.9955, recall: 0.784, relative_absolute_error: 0.5256, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7698, scimark_benchmark: 1341.8761, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8149, kappa: 0.6267, kb_relative_information_score: 110.8925, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8175, predictive_accuracy: 0.816, prior_entropy: 0.9955, recall: 0.816, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7241, scimark_benchmark: 1342.5243, usercpu_time_millis: 710, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6557, f_measure: 0.6404, kappa: 0.2772, kb_relative_information_score: 44.7622, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6411, predictive_accuracy: 0.64, prior_entropy: 0.9955, recall: 0.64, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.0111, scimark_benchmark: 1363.454, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5987, f_measure: 0.6004, kappa: 0.1969, kb_relative_information_score: 48.1521, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6011, predictive_accuracy: 0.6, prior_entropy: 0.9955, recall: 0.6, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.269, scimark_benchmark: 918.0213, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.7323, kappa: 0.4623, kb_relative_information_score: 67.4458, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7332, predictive_accuracy: 0.732, prior_entropy: 0.9955, recall: 0.732, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.8826, scimark_benchmark: 918.0213, usercpu_time_millis: 1360, usercpu_time_millis_testing: 1360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.4734, kappa: -0.0081, kb_relative_information_score: -7.3638, mean_absolute_error: 0.5099, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.4985, predictive_accuracy: 0.484, prior_entropy: 0.9955, recall: 0.484, relative_absolute_error: 1.0264, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.584, root_relative_squared_error: 1.1718, scimark_benchmark: 906.4475, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4799, f_measure: 0.3787, kb_relative_information_score: -0.0764, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0002, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5389, f_measure: 0.4645, kappa: -0.0006, kb_relative_information_score: -2.0001, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5028, predictive_accuracy: 0.484, prior_entropy: 0.9955, recall: 0.484, relative_absolute_error: 1.0053, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0022, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.7791, kappa: 0.5546, kb_relative_information_score: 110.6911, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7802, predictive_accuracy: 0.78, prior_entropy: 0.9955, recall: 0.78, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8359, scimark_benchmark: 912.7324, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7835, kappa: 0.5635, kb_relative_information_score: 104.2526, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7838, predictive_accuracy: 0.784, prior_entropy: 0.9955, recall: 0.784, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8064, scimark_benchmark: 876.0664, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.6086, kappa: 0.215, kb_relative_information_score: 35.8668, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6105, predictive_accuracy: 0.608, prior_entropy: 0.9955, recall: 0.608, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5084, root_relative_squared_error: 1.0202, scimark_benchmark: 934.1747, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8071, kappa: 0.611, kb_relative_information_score: 78.4798, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8088, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.7893, scimark_benchmark: 934.6432, usercpu_time_millis: 560, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.7907, kappa: 0.5781, kb_relative_information_score: 76.5256, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7931, predictive_accuracy: 0.792, prior_entropy: 0.9955, recall: 0.792, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.7948, scimark_benchmark: 932.0242, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.7907, kappa: 0.5781, kb_relative_information_score: 81.3937, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7931, predictive_accuracy: 0.792, prior_entropy: 0.9955, recall: 0.792, relative_absolute_error: 0.7204, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.789, scimark_benchmark: 1299.5783, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.7868, kappa: 0.5702, kb_relative_information_score: 132.9262, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7888, predictive_accuracy: 0.788, prior_entropy: 0.9955, recall: 0.788, relative_absolute_error: 0.4773, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8347, scimark_benchmark: 1325.2092, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.7871, kappa: 0.5708, kb_relative_information_score: 123.4231, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7883, predictive_accuracy: 0.788, prior_entropy: 0.9955, recall: 0.788, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8199, scimark_benchmark: 1384.4418, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8268, kappa: 0.6509, kb_relative_information_score: 122.4339, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8302, predictive_accuracy: 0.828, prior_entropy: 0.9955, recall: 0.828, relative_absolute_error: 0.5447, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7168, scimark_benchmark: 1404.1865, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.819, kappa: 0.6351, kb_relative_information_score: 108.3684, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8212, predictive_accuracy: 0.82, prior_entropy: 0.9955, recall: 0.82, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7281, scimark_benchmark: 1368.9272, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8151, kappa: 0.6272, kb_relative_information_score: 108.8176, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8169, predictive_accuracy: 0.816, prior_entropy: 0.9955, recall: 0.816, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7292, scimark_benchmark: 1339.3974, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.7835, kappa: 0.5635, kb_relative_information_score: 106.0543, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7838, predictive_accuracy: 0.784, prior_entropy: 0.9955, recall: 0.784, relative_absolute_error: 0.6135, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7486, scimark_benchmark: 940.0008, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.7988, kappa: 0.5943, kb_relative_information_score: 103.9258, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8013, predictive_accuracy: 0.8, prior_entropy: 0.9955, recall: 0.8, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7628, scimark_benchmark: 1307.3269, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, f_measure: 0.791, kappa: 0.5786, kb_relative_information_score: 125.3372, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7926, predictive_accuracy: 0.792, prior_entropy: 0.9955, recall: 0.792, relative_absolute_error: 0.5203, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8624, scimark_benchmark: 1363.434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8071, kappa: 0.611, kb_relative_information_score: 142.9498, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8088, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.4346, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8118, scimark_benchmark: 930.5999, usercpu_time_millis: 710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8034, kappa: 0.6037, kb_relative_information_score: 141.9393, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8041, predictive_accuracy: 0.804, prior_entropy: 0.9955, recall: 0.804, relative_absolute_error: 0.4429, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7677, scimark_benchmark: 932.0242, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.7995, kappa: 0.5959, kb_relative_information_score: 136.5303, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7999, predictive_accuracy: 0.8, prior_entropy: 0.9955, recall: 0.8, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.731, scimark_benchmark: 882.7843, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8079, kappa: 0.613, kb_relative_information_score: 125.2259, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.9955, recall: 0.808, relative_absolute_error: 0.5296, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.7251, scimark_benchmark: 889.3151, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.7832, kappa: 0.563, kb_relative_information_score: 101.6236, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7841, predictive_accuracy: 0.784, prior_entropy: 0.9955, recall: 0.784, relative_absolute_error: 0.6268, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7788, scimark_benchmark: 825.5282, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5797, f_measure: 0.5632, kappa: 0.1202, kb_relative_information_score: 17.3662, mean_absolute_error: 0.4657, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5642, predictive_accuracy: 0.568, prior_entropy: 0.9955, recall: 0.568, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.04, scimark_benchmark: 1287.514, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, f_measure: 0.5683, kappa: 0.1301, kb_relative_information_score: 17.5231, mean_absolute_error: 0.4654, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5688, predictive_accuracy: 0.572, prior_entropy: 0.9955, recall: 0.572, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5457, root_relative_squared_error: 1.095, scimark_benchmark: 1304.9611, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5731, f_measure: 0.5026, kappa: 0.1385, kb_relative_information_score: 21.9142, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.626, predictive_accuracy: 0.548, prior_entropy: 0.9955, recall: 0.548, relative_absolute_error: 0.9098, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6723, root_relative_squared_error: 1.3489, scimark_benchmark: 1442.7264, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3787, kb_relative_information_score: 17.8777, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3608, scimark_benchmark: 1333.5799, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,

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