OpenML
Supervised Classification on blood-transfusion-service-center

Supervised Classification on blood-transfusion-service-center

Task 145836 Supervised Classification blood-transfusion-service-center 78885 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1741.1835, usercpu_time_millis: 0.233, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1750.3925, usercpu_time_millis: 0.215, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1983.2754, usercpu_time_millis: 0.198, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.6986, kappa: 0.1058, kb_relative_information_score: 58.1669, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7612, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8765, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.927, scimark_benchmark: 1754.6748, usercpu_time_millis: 0.11, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.7049, kappa: 0.1216, kb_relative_information_score: 70.8069, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7334, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8562, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.393, root_relative_squared_error: 0.9228, scimark_benchmark: 1792.2757, usercpu_time_millis: 0.105, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1757.6205, usercpu_time_millis: 0.216, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1975.1499, usercpu_time_millis: 0.2, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1826.184, usercpu_time_millis: 0.222, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1807.3675, usercpu_time_millis: 0.225, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7049, kappa: 0.1216, kb_relative_information_score: 71.5152, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7334, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8546, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9227, scimark_benchmark: 1808.3231, usercpu_time_millis: 0.111, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.6585, kappa: -0.0027, kb_relative_information_score: 13.4146, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5805, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.9728, scimark_benchmark: 1975.8003, usercpu_time_millis: 0.091, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 72.5616, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9225, scimark_benchmark: 1799.5421, usercpu_time_millis: 0.111, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1818.6717, usercpu_time_millis: 0.221, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1817.3406, usercpu_time_millis: 0.212, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.6959, kappa: 0.0981, kb_relative_information_score: 57.7622, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7569, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.881, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.9278, scimark_benchmark: 1845.7778, usercpu_time_millis: 0.098, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1835.9574, usercpu_time_millis: 0.209, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1755.4795, usercpu_time_millis: 0.22, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1750.7876, usercpu_time_millis: 0.222, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 72.4032, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9226, scimark_benchmark: 1846.7774, usercpu_time_millis: 0.117, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.6585, kappa: -0.0027, kb_relative_information_score: 16.3358, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5805, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.412, root_relative_squared_error: 0.9676, scimark_benchmark: 1756.4603, usercpu_time_millis: 0.1, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7432, f_measure: 0.6739, kappa: 0.0394, kb_relative_information_score: 30.6115, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7827, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.9537, scimark_benchmark: 1983.6224, usercpu_time_millis: 0.091, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, f_measure: 0.7006, kappa: 0.1101, kb_relative_information_score: 63.2799, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7417, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8719, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.394, root_relative_squared_error: 0.9253, scimark_benchmark: 1801.818, usercpu_time_millis: 0.1, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1994.9514, usercpu_time_millis: 0.2, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 71.6103, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8543, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9227, scimark_benchmark: 1751.6968, usercpu_time_millis: 0.127, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1755.0172, usercpu_time_millis: 0.245, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1806.9376, usercpu_time_millis: 0.212, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.7049, kappa: 0.1216, kb_relative_information_score: 71.1884, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7334, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9228, scimark_benchmark: 1775.8356, usercpu_time_millis: 0.1, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1753.3033, usercpu_time_millis: 0.215, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.6948, kappa: 0.0958, kb_relative_information_score: 51.3657, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.772, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8908, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.9312, scimark_benchmark: 1995.4707, usercpu_time_millis: 0.086, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1751.6968, usercpu_time_millis: 0.235, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.7006, kappa: 0.1101, kb_relative_information_score: 64.0369, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7417, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.9248, scimark_benchmark: 1770.5451, usercpu_time_millis: 0.101, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1750.8922, usercpu_time_millis: 0.237, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1778.8691, usercpu_time_millis: 0.206, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1779.1012, usercpu_time_millis: 0.207, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.165,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.6978, kappa: 0.103, kb_relative_information_score: 59.4796, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7532, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9268, scimark_benchmark: 1758.4252, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.053,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, f_measure: 0.6799, kappa: 0.0559, kb_relative_information_score: 27.4256, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7942, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.9508, scimark_benchmark: 1917.1088, usercpu_time_millis: 0.094, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1757.0536, usercpu_time_millis: 0.223, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.6709, kappa: 0.0311, kb_relative_information_score: 23.3246, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7739, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.954, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.9634, scimark_benchmark: 1755.4795, usercpu_time_millis: 0.103, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1752.841, usercpu_time_millis: 0.23, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.7049, kappa: 0.1216, kb_relative_information_score: 70.68, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7334, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8558, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.393, root_relative_squared_error: 0.9229, scimark_benchmark: 1755.4795, usercpu_time_millis: 0.103, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.06,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.6956, kappa: 0.0986, kb_relative_information_score: 49.1261, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7836, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.9315, scimark_benchmark: 1746.8408, usercpu_time_millis: 0.117, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.068,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, f_measure: 0.6799, kappa: 0.0559, kb_relative_information_score: 30.0223, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7942, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.9523, scimark_benchmark: 1753.7072, usercpu_time_millis: 0.101, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1751.3544, usercpu_time_millis: 0.215, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.171,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: premature end of file, read Token[EOF], line 716
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 2141.6647, usercpu_time_millis: 0.185, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.149,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1872.0299, usercpu_time_millis: 0.202, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1754.9178, usercpu_time_millis: 0.336, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.285,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.7023, kappa: 0.1149, kb_relative_information_score: 67.1524, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7402, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.9238, scimark_benchmark: 1860.0853, usercpu_time_millis: 0.1, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.6591, kb_relative_information_score: 1.2124, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.9906, scimark_benchmark: 1750.8515, usercpu_time_millis: 0.096, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.052,
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Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs