Task
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: 0.8049, 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: 0.7228, 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: 0.8049, 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: 0.8593, 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: 0.8091, 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: 0.8049, 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: 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: 0.5, 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: 0.825, 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: 1325.5735,
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: 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: 1313.11,
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: 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: 0.7228, 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: 944.4621, 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: 1339.2472,
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: 1303.5632,
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: 1336.0954, 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: 930.5999,
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: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 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: 0.8049, 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: 0.7228, 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: 1340.9446,
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: 1325.7874,
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: 1337.8124, 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: 1324.6442,
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: 1340.9749,
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: 901.8743,
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: 1349.1517,
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: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.7406, kappa: 0.4508, kb_relative_information_score: 33.2112, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7829, predictive_accuracy: 0.7612, prior_entropy: 0.9656, recall: 0.7612, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9734, scimark_benchmark: 1887.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.6251, kappa: 0.2008, kb_relative_information_score: 16.7097, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.6277, predictive_accuracy: 0.6418, prior_entropy: 0.9656, recall: 0.6418, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7732, kappa: 0.5184, kb_relative_information_score: 29.3758, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7736, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8468, scimark_benchmark: 1806.5905,
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: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7453, kappa: 0.462, kb_relative_information_score: 29.6207, mean_absolute_error: 0.2616, 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: 0.55, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4958, root_relative_squared_error: 1.0174, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.8035, kappa: 0.5827, kb_relative_information_score: 37.6468, mean_absolute_error: 0.2069, 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: 0.4349, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8774, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.7406, kappa: 0.4508, kb_relative_information_score: 33.2112, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7829, predictive_accuracy: 0.7612, prior_entropy: 0.9656, recall: 0.7612, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9734, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.8012, kappa: 0.5766, kb_relative_information_score: 28.19, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8064, predictive_accuracy: 0.806, prior_entropy: 0.9656, recall: 0.806, relative_absolute_error: 0.5992, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6375, kappa: 0.2686, kb_relative_information_score: 23.9864, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7994, predictive_accuracy: 0.7015, prior_entropy: 0.9656, recall: 0.7015, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5464, root_relative_squared_error: 1.1212,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.6693, kappa: 0.2954, kb_relative_information_score: 19.9144, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.6795, predictive_accuracy: 0.6866, prior_entropy: 0.9656, recall: 0.6866, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5243, root_relative_squared_error: 1.0758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6375, kappa: 0.2686, kb_relative_information_score: 23.9864, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7994, predictive_accuracy: 0.7015, prior_entropy: 0.9656, recall: 0.7015, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5464, root_relative_squared_error: 1.1212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.8035, kappa: 0.5827, kb_relative_information_score: 37.6468, mean_absolute_error: 0.2069, 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: 0.4349, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6375, kappa: 0.2686, kb_relative_information_score: 23.9864, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7994, predictive_accuracy: 0.7015, prior_entropy: 0.9656, recall: 0.7015, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5464, root_relative_squared_error: 1.1212,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, 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: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.7406, kappa: 0.4508, kb_relative_information_score: 33.2112, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7829, predictive_accuracy: 0.7612, prior_entropy: 0.9656, recall: 0.7612, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9734, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7706, kappa: 0.5114, kb_relative_information_score: 26.9274, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7746, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.6116, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8127,
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: 819.5729,
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: 947.1781, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, 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: 901.4991, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 905.2959,
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: 941.6675,
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: 927.2917, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
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: 947.1781, 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: 934.695,
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: 942.2392,
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: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.6936, kappa: 0.3626, kb_relative_information_score: 28.2734, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7787, predictive_accuracy: 0.7313, prior_entropy: 0.9656, recall: 0.7313, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0636, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6571, f_measure: 0.5918, kappa: 0.1332, kb_relative_information_score: 12.3262, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.5889, predictive_accuracy: 0.597, prior_entropy: 0.9656, recall: 0.597, relative_absolute_error: 0.7941, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5936, root_relative_squared_error: 1.2182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.8012, kappa: 0.5766, kb_relative_information_score: 29.8296, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8064, predictive_accuracy: 0.806, prior_entropy: 0.9656, recall: 0.806, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.797, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 17.5418, mean_absolute_error: 0.3565, 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: 0.7496, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9694, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, f_measure: 0.6683, kappa: 0.3028, kb_relative_information_score: 14.5983, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7138, predictive_accuracy: 0.7015, prior_entropy: 0.9656, recall: 0.7015, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.908, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 15.9973, mean_absolute_error: 0.3736, 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: 0.7854, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.6375, kappa: 0.2686, kb_relative_information_score: 23.3519, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7994, predictive_accuracy: 0.7015, prior_entropy: 0.9656, recall: 0.7015, relative_absolute_error: 0.6432, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.7872, kappa: 0.5473, kb_relative_information_score: 25.4284, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7894, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.6428, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8296, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.7264, kappa: 0.418, kb_relative_information_score: 29.2736, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7269, predictive_accuracy: 0.7313, prior_entropy: 0.9656, recall: 0.7313, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.6683, kappa: 0.3028, kb_relative_information_score: 16.4383, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7138, predictive_accuracy: 0.7015, prior_entropy: 0.9656, recall: 0.7015, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9672, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.8035, kappa: 0.5827, kb_relative_information_score: 27.6085, mean_absolute_error: 0.2879, 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: 0.6053, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, f_measure: 0.7501, kappa: 0.4672, kb_relative_information_score: 22.9487, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7639, predictive_accuracy: 0.7612, prior_entropy: 0.9656, recall: 0.7612, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.7406, kappa: 0.4508, kb_relative_information_score: 33.0712, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7829, predictive_accuracy: 0.7612, prior_entropy: 0.9656, recall: 0.7612, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9772, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.7082, kappa: 0.3822, kb_relative_information_score: 29.11, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7437, predictive_accuracy: 0.7313, prior_entropy: 0.9656, recall: 0.7313, relative_absolute_error: 0.5525, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5068, root_relative_squared_error: 1.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7775, kappa: 0.5267, kb_relative_information_score: 23.4731, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8075, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.6827, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7968,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7406, kappa: 0.4508, kb_relative_information_score: 33.3116, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7829, predictive_accuracy: 0.7612, prior_entropy: 0.9656, recall: 0.7612, relative_absolute_error: 0.4919, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9712,
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: 941.3847,
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: 941.3847,
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: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.8639, kappa: 0.7111, kb_relative_information_score: 41.4763, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8659, predictive_accuracy: 0.8657, prior_entropy: 0.9656, recall: 0.8657, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.7483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, f_measure: 0.7401, kappa: 0.4463, kb_relative_information_score: 24.7081, mean_absolute_error: 0.3064, 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: 0.6442, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9307, scimark_benchmark: 877.0034, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8813, kappa: 0.7521, kb_relative_information_score: 48.3783, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8836, predictive_accuracy: 0.8806, prior_entropy: 0.9656, recall: 0.8806, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6855, scimark_benchmark: 1002.7919, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.8126, kappa: 0.6004, kb_relative_information_score: 36.226, mean_absolute_error: 0.2137, 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: 0.4493, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8448, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7145, kappa: 0.4027, kb_relative_information_score: 21.342, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7899, predictive_accuracy: 0.7463, prior_entropy: 0.9656, recall: 0.7463, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8574, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.8194, kappa: 0.6175, kb_relative_information_score: 41.307, mean_absolute_error: 0.1777, 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: 0.3735, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.6375, kappa: 0.2686, kb_relative_information_score: 23.9864, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7994, predictive_accuracy: 0.7015, prior_entropy: 0.9656, recall: 0.7015, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5464, root_relative_squared_error: 1.1212, scimark_benchmark: 1115.7172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8784, kappa: 0.7413, kb_relative_information_score: 34.882, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8831, predictive_accuracy: 0.8806, prior_entropy: 0.9656, recall: 0.8806, relative_absolute_error: 0.5188, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6775, scimark_benchmark: 935.5664, usercpu_time_millis: 310, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8624, kappa: 0.7069, kb_relative_information_score: 35.7375, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8699, predictive_accuracy: 0.8657, prior_entropy: 0.9656, recall: 0.8657, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.6586, scimark_benchmark: 901.6243, usercpu_time_millis: 600, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 350,
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: 938.988, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 942.3809, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7775, kappa: 0.5267, kb_relative_information_score: 34.8579, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8075, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.4745, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.9045, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7775, kappa: 0.5267, kb_relative_information_score: 34.8579, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8075, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.4745, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.9045, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.8035, kappa: 0.5827, kb_relative_information_score: 37.6468, mean_absolute_error: 0.2069, 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: 0.4349, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8774, scimark_benchmark: 942.6192,
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: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8624, kappa: 0.7069, kb_relative_information_score: 35.3601, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8699, predictive_accuracy: 0.8657, prior_entropy: 0.9656, recall: 0.8657, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.666, scimark_benchmark: 939.3535, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,

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