OpenML
Supervised Classification on fl2000

Supervised Classification on fl2000

Task 3851 Supervised Classification fl2000 505 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7675, kappa: 0.5042, kb_relative_information_score: 27.3142, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7781, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7781, scimark_benchmark: 1310.6554, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, f_measure: 0.723, kappa: 0.4094, kb_relative_information_score: 21.9782, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7273, predictive_accuracy: 0.7313, prior_entropy: 0.9656, recall: 0.7313, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8512, scimark_benchmark: 1333.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.4188, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9628, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.0169, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8956, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.0169, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8956, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.7985, kappa: 0.5703, kb_relative_information_score: 23.0053, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8112, predictive_accuracy: 0.806, prior_entropy: 0.9656, recall: 0.806, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.8011, scimark_benchmark: 1339.2472, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.0169, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8956, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.4188, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9628, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.0169, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8956, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.0169, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8956, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.0169, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8956, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.0169, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8956, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7453, kappa: 0.462, kb_relative_information_score: 27.9881, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7447, predictive_accuracy: 0.7463, prior_entropy: 0.9656, recall: 0.7463, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8666, scimark_benchmark: 1309.0674, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7675, kappa: 0.5042, kb_relative_information_score: 27.3142, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7781, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7781, scimark_benchmark: 1313.5633, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, f_measure: 0.723, kappa: 0.4094, kb_relative_information_score: 21.9782, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7273, predictive_accuracy: 0.7313, prior_entropy: 0.9656, recall: 0.7313, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8512, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.7196, kappa: 0.4232, kb_relative_information_score: 24.4657, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7308, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4933, root_relative_squared_error: 1.0122, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4646, kb_relative_information_score: 11.1254, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.3745, predictive_accuracy: 0.6119, prior_entropy: 0.9656, recall: 0.6119, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2783, scimark_benchmark: 1348.2804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.0169, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8956, scimark_benchmark: 1328.1785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.0169, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8956, scimark_benchmark: 1329.5628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.0169, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8956, scimark_benchmark: 1344.3409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, f_measure: 0.723, kappa: 0.4094, kb_relative_information_score: 21.9782, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7273, predictive_accuracy: 0.7313, prior_entropy: 0.9656, recall: 0.7313, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8512, scimark_benchmark: 1351.1238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4646, kb_relative_information_score: 11.1254, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.3745, predictive_accuracy: 0.6119, prior_entropy: 0.9656, recall: 0.6119, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2783, scimark_benchmark: 1346.5986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4646, kb_relative_information_score: 11.1254, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.3745, predictive_accuracy: 0.6119, prior_entropy: 0.9656, recall: 0.6119, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2783, scimark_benchmark: 1341.3551, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.0169, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8956, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.0169, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8956, scimark_benchmark: 1325.5735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7453, kappa: 0.462, kb_relative_information_score: 27.9881, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7447, predictive_accuracy: 0.7463, prior_entropy: 0.9656, recall: 0.7463, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8666, scimark_benchmark: 1354.3488, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.0169, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8956, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7675, kappa: 0.5042, kb_relative_information_score: 27.3142, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7781, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7781, scimark_benchmark: 1281.7531, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7753, kappa: 0.5253, kb_relative_information_score: 28.1711, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7748, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8385, scimark_benchmark: 1348.2476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.7985, kappa: 0.5703, kb_relative_information_score: 23.0053, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8112, predictive_accuracy: 0.806, prior_entropy: 0.9656, recall: 0.806, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.8011, scimark_benchmark: 1264.9916, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.0169, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8956, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.4188, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9628, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.0169, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8956, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.0169, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8956, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.0169, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8956, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.0169, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8956, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.0169, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8956, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, f_measure: 0.723, kappa: 0.4094, kb_relative_information_score: 21.9782, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7273, predictive_accuracy: 0.7313, prior_entropy: 0.9656, recall: 0.7313, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8512, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7675, kappa: 0.5042, kb_relative_information_score: 27.3142, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7781, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7781, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.4188, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9628, scimark_benchmark: 1343.2125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.8126, kappa: 0.6004, kb_relative_information_score: 26.3179, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.832, predictive_accuracy: 0.8209, prior_entropy: 0.9656, recall: 0.8209, relative_absolute_error: 0.6379, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7728, scimark_benchmark: 1366.5423, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.7953, kappa: 0.5638, kb_relative_information_score: 26.0543, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8197, predictive_accuracy: 0.806, prior_entropy: 0.9656, recall: 0.806, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7743, scimark_benchmark: 1298.6659, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 25.8792, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.601, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5328, root_relative_squared_error: 1.0934, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 25.6749, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5334, root_relative_squared_error: 1.0946, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.7401, kappa: 0.4463, kb_relative_information_score: 30.4169, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7428, predictive_accuracy: 0.7463, prior_entropy: 0.9656, recall: 0.7463, relative_absolute_error: 0.5334, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.0337, scimark_benchmark: 915.6729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.7008, kappa: 0.3625, kb_relative_information_score: 3.6796, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7145, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4888, root_relative_squared_error: 1.003, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4437, f_measure: 0.4646, kb_relative_information_score: -0.1984, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.3745, predictive_accuracy: 0.6119, prior_entropy: 0.9656, recall: 0.6119, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.488, root_relative_squared_error: 1.0014, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7078, f_measure: 0.7365, kappa: 0.4381, kb_relative_information_score: -2.0226, mean_absolute_error: 0.4791, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7449, predictive_accuracy: 0.7463, prior_entropy: 0.9656, recall: 0.7463, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9946, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7753, kappa: 0.5253, kb_relative_information_score: 28.1711, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7748, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8385, scimark_benchmark: 938.343, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 26.1247, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5318, root_relative_squared_error: 1.0912, scimark_benchmark: 934.1747, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.7541, kappa: 0.4812, kb_relative_information_score: 21.889, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8115, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.7072, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.392, root_relative_squared_error: 0.8044, scimark_benchmark: 942.6843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8796, kappa: 0.745, kb_relative_information_score: 39.8649, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8803, predictive_accuracy: 0.8806, prior_entropy: 0.9656, recall: 0.8806, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.343, root_relative_squared_error: 0.7038, scimark_benchmark: 895.5332, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.7845, kappa: 0.5406, kb_relative_information_score: 27.2179, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7922, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7601, scimark_benchmark: 912.7324, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8461, kappa: 0.6719, kb_relative_information_score: 28.5755, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.857, predictive_accuracy: 0.8507, prior_entropy: 0.9656, recall: 0.8507, relative_absolute_error: 0.6128, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7381, scimark_benchmark: 933.3136, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.8295, kappa: 0.6364, kb_relative_information_score: 28.1663, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8444, predictive_accuracy: 0.8358, prior_entropy: 0.9656, recall: 0.8358, relative_absolute_error: 0.6209, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7578, scimark_benchmark: 1339.3974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.7453, kappa: 0.462, kb_relative_information_score: 26.0937, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7447, predictive_accuracy: 0.7463, prior_entropy: 0.9656, recall: 0.7463, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9588, scimark_benchmark: 869.6028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.8352, kappa: 0.6519, kb_relative_information_score: 41.888, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.835, predictive_accuracy: 0.8358, prior_entropy: 0.9656, recall: 0.8358, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8245, scimark_benchmark: 1345.7589, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.8194, kappa: 0.6175, kb_relative_information_score: 40.9006, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8195, predictive_accuracy: 0.8209, prior_entropy: 0.9656, recall: 0.8209, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.388, root_relative_squared_error: 0.7962, scimark_benchmark: 854.5188, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8035, kappa: 0.5827, kb_relative_information_score: 37.9436, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8044, predictive_accuracy: 0.806, prior_entropy: 0.9656, recall: 0.806, relative_absolute_error: 0.4286, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.8036, scimark_benchmark: 1287.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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