OpenML
Supervised Classification on heart-statlog

Supervised Classification on heart-statlog

Task 52 Supervised Classification heart-statlog 887 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_29 study_30 study_41 study_50 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

887 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.7801, kappa: 0.5534, kb_relative_information_score: 123.3802, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7814, predictive_accuracy: 0.7815, prior_entropy: 0.9912, recall: 0.7815, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.744, scimark_benchmark: 1338.5214, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 25.6977, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416, scimark_benchmark: 1325.8468, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 164.8697, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7384, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 930.5999, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 1374.9737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.7801, kappa: 0.5534, kb_relative_information_score: 123.3802, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7814, predictive_accuracy: 0.7815, prior_entropy: 0.9912, recall: 0.7815, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.744, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8217, kappa: 0.6382, kb_relative_information_score: 147.8359, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.7228, scimark_benchmark: 1338.5214, usercpu_time_millis: 560, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8104, kappa: 0.6153, kb_relative_information_score: 128.9436, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8109, predictive_accuracy: 0.8111, prior_entropy: 0.9912, recall: 0.8111, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7295, scimark_benchmark: 1374.9737, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.803, kappa: 0.6002, kb_relative_information_score: 136.7217, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8034, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7923, scimark_benchmark: 1333.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 25.6977, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416, scimark_benchmark: 1347.1763, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 164.8697, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7384, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8217, kappa: 0.6382, kb_relative_information_score: 147.8359, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.7228, scimark_benchmark: 1393.8432, usercpu_time_millis: 460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.803, kappa: 0.6002, kb_relative_information_score: 136.7217, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8034, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7923, scimark_benchmark: 1345.6844, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.782, kappa: 0.5601, kb_relative_information_score: 119.8675, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7835, predictive_accuracy: 0.7815, prior_entropy: 0.9912, recall: 0.7815, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.764, scimark_benchmark: 1358.6198, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 164.8697, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7384, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8217, kappa: 0.6382, kb_relative_information_score: 147.8359, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.7228, scimark_benchmark: 1313.11, usercpu_time_millis: 540, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 1317.6232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8187, kappa: 0.6334, kb_relative_information_score: 142.7494, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8191, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7746, scimark_benchmark: 1321.6503, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8187, kappa: 0.6334, kb_relative_information_score: 142.7494, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8191, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7746, scimark_benchmark: 1350.2591, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8104, kappa: 0.6153, kb_relative_information_score: 128.9436, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8109, predictive_accuracy: 0.8111, prior_entropy: 0.9912, recall: 0.8111, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7295, scimark_benchmark: 1310.6554, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.7083, kappa: 0.4129, kb_relative_information_score: 109.1555, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7114, predictive_accuracy: 0.7074, prior_entropy: 0.9912, recall: 0.7074, relative_absolute_error: 0.5924, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5409, root_relative_squared_error: 1.0886, scimark_benchmark: 1310.6554, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.8066, kappa: 0.6074, kb_relative_information_score: 137.4776, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8072, predictive_accuracy: 0.8074, prior_entropy: 0.9912, recall: 0.8074, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7712, scimark_benchmark: 1313.8988, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 25.6977, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416, scimark_benchmark: 1308.6872, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 1325.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 1311.7317, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8217, kappa: 0.6382, kb_relative_information_score: 147.8359, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.7228, scimark_benchmark: 1342.6744, usercpu_time_millis: 650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 1365.0842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8104, kappa: 0.6153, kb_relative_information_score: 128.9436, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8109, predictive_accuracy: 0.8111, prior_entropy: 0.9912, recall: 0.8111, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7295, scimark_benchmark: 1330.8256, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.803, kappa: 0.6002, kb_relative_information_score: 136.7217, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8034, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7923, scimark_benchmark: 1345.0202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 1325.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 1337.3129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8104, kappa: 0.6153, kb_relative_information_score: 128.9436, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8109, predictive_accuracy: 0.8111, prior_entropy: 0.9912, recall: 0.8111, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7295, scimark_benchmark: 1351.1238, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.7801, kappa: 0.5534, kb_relative_information_score: 123.3802, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7814, predictive_accuracy: 0.7815, prior_entropy: 0.9912, recall: 0.7815, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.744, scimark_benchmark: 929.0363, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.803, kappa: 0.6002, kb_relative_information_score: 136.7217, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8034, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7923, scimark_benchmark: 1352.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 25.6977, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416, scimark_benchmark: 1267.3105, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8187, kappa: 0.6334, kb_relative_information_score: 142.7494, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8191, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7746, scimark_benchmark: 1281.7531, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 164.8697, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7384, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 1297.2338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8104, kappa: 0.6153, kb_relative_information_score: 128.9436, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8109, predictive_accuracy: 0.8111, prior_entropy: 0.9912, recall: 0.8111, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7295, scimark_benchmark: 1322.7257, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.795, kappa: 0.5837, kb_relative_information_score: 144.8506, mean_absolute_error: 0.2359, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7964, predictive_accuracy: 0.7963, prior_entropy: 0.9912, recall: 0.7963, relative_absolute_error: 0.4777, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8531, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8217, kappa: 0.6382, kb_relative_information_score: 147.8359, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.7228, scimark_benchmark: 1297.2338, usercpu_time_millis: 670, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.803, kappa: 0.6002, kb_relative_information_score: 136.7217, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8034, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7923, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 164.8697, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7384, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 1350.073, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8104, kappa: 0.6153, kb_relative_information_score: 128.9436, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8109, predictive_accuracy: 0.8111, prior_entropy: 0.9912, recall: 0.8111, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7295, scimark_benchmark: 1345.7204, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.782, kappa: 0.5601, kb_relative_information_score: 119.8675, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7835, predictive_accuracy: 0.7815, prior_entropy: 0.9912, recall: 0.7815, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.764, scimark_benchmark: 1064.8317, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.782, kappa: 0.5601, kb_relative_information_score: 119.8675, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7835, predictive_accuracy: 0.7815, prior_entropy: 0.9912, recall: 0.7815, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.764, scimark_benchmark: 942.9708, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.6776, kappa: 0.347, kb_relative_information_score: 73.5746, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.6775, predictive_accuracy: 0.6778, prior_entropy: 0.9912, recall: 0.6778, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.9026, scimark_benchmark: 1357.483, usercpu_time_millis: 160, usercpu_time_millis_testing: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.8066, kappa: 0.6074, kb_relative_information_score: 137.4776, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8072, predictive_accuracy: 0.8074, prior_entropy: 0.9912, recall: 0.8074, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7712, scimark_benchmark: 1320.9026, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8248, kappa: 0.6442, kb_relative_information_score: 105.2512, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8265, predictive_accuracy: 0.8259, prior_entropy: 0.9912, recall: 0.8259, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7478, scimark_benchmark: 1347.5461, usercpu_time_millis: 170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.792, kappa: 0.5779, kb_relative_information_score: 147.543, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7921, predictive_accuracy: 0.7926, prior_entropy: 0.9912, recall: 0.7926, relative_absolute_error: 0.4618, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8169, scimark_benchmark: 1327.2954, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.8066, kappa: 0.6074, kb_relative_information_score: 137.4776, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8072, predictive_accuracy: 0.8074, prior_entropy: 0.9912, recall: 0.8074, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7712, scimark_benchmark: 929.0363, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8284, kappa: 0.6515, kb_relative_information_score: 105.0846, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8306, predictive_accuracy: 0.8296, prior_entropy: 0.9912, recall: 0.8296, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7487, scimark_benchmark: 1331.2332, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8255, kappa: 0.646, kb_relative_information_score: 160.2802, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8257, predictive_accuracy: 0.8259, prior_entropy: 0.9912, recall: 0.8259, relative_absolute_error: 0.4201, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7109, scimark_benchmark: 1307.3764, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.803, kappa: 0.6002, kb_relative_information_score: 136.7217, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8034, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7923, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.7735, kappa: 0.5406, kb_relative_information_score: 139.8825, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7735, predictive_accuracy: 0.7741, prior_entropy: 0.9912, recall: 0.7741, relative_absolute_error: 0.4858, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8399, scimark_benchmark: 961.21, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, f_measure: 0.7661, kappa: 0.5255, kb_relative_information_score: 121.9759, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7661, predictive_accuracy: 0.7667, prior_entropy: 0.9912, recall: 0.7667, relative_absolute_error: 0.565, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9061, scimark_benchmark: 1349.9741, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.803, kappa: 0.6002, kb_relative_information_score: 136.7217, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8034, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7923, scimark_benchmark: 1316.5986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7542, kappa: 0.5008, kb_relative_information_score: 129.6689, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7549, predictive_accuracy: 0.7556, prior_entropy: 0.9912, recall: 0.7556, relative_absolute_error: 0.5249, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8811, scimark_benchmark: 1329.8847, usercpu_time_millis: 430, usercpu_time_millis_testing: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.7223, kappa: 0.438, kb_relative_information_score: 116.5833, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7225, predictive_accuracy: 0.7222, prior_entropy: 0.9912, recall: 0.7222, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5249, root_relative_squared_error: 1.0564, scimark_benchmark: 1371.9645, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.7785, kappa: 0.5552, kb_relative_information_score: 5.6211, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7833, predictive_accuracy: 0.7778, prior_entropy: 0.9912, recall: 0.7778, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9853, scimark_benchmark: 937.5996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.4119, kappa: -0.0092, kb_relative_information_score: -5.1629, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.4741, predictive_accuracy: 0.5481, prior_entropy: 0.9912, recall: 0.5481, relative_absolute_error: 1.0126, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0065, scimark_benchmark: 1313.6093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.8143, kappa: 0.6231, kb_relative_information_score: 168.1866, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8145, predictive_accuracy: 0.8148, prior_entropy: 0.9912, recall: 0.8148, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.866, scimark_benchmark: 1249.4068, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.785, kappa: 0.5643, kb_relative_information_score: 121.1424, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7849, predictive_accuracy: 0.7852, prior_entropy: 0.9912, recall: 0.7852, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8301, scimark_benchmark: 1340.4336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.782, kappa: 0.5601, kb_relative_information_score: 119.8675, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7835, predictive_accuracy: 0.7815, prior_entropy: 0.9912, recall: 0.7815, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.764, scimark_benchmark: 909.1698, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.7707, kappa: 0.5365, kb_relative_information_score: 139.4933, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7714, predictive_accuracy: 0.7704, prior_entropy: 0.9912, recall: 0.7704, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.7911, scimark_benchmark: 1270.2428, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.8147, kappa: 0.6244, kb_relative_information_score: 140.5337, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8146, predictive_accuracy: 0.8148, prior_entropy: 0.9912, recall: 0.8148, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7681, scimark_benchmark: 1311.1837, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.8068, kappa: 0.608, kb_relative_information_score: 124.3614, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8071, predictive_accuracy: 0.8074, prior_entropy: 0.9912, recall: 0.8074, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7301, scimark_benchmark: 1307.3764, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8248, kappa: 0.6442, kb_relative_information_score: 124.2775, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8265, predictive_accuracy: 0.8259, prior_entropy: 0.9912, recall: 0.8259, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7356, scimark_benchmark: 1261.7298, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8212, kappa: 0.637, kb_relative_information_score: 124.3352, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8225, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7337, scimark_benchmark: 1182.3687, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 25.6977, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416, scimark_benchmark: 765.566, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 1248.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, f_measure: 0.7661, kappa: 0.5255, kb_relative_information_score: 121.9759, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7661, predictive_accuracy: 0.7667, prior_entropy: 0.9912, recall: 0.7667, relative_absolute_error: 0.565, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9061, scimark_benchmark: 1320.4802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.803, kappa: 0.6002, kb_relative_information_score: 136.7217, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8034, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7923, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8329, kappa: 0.6611, kb_relative_information_score: 169.9687, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8331, predictive_accuracy: 0.8333, prior_entropy: 0.9912, recall: 0.8333, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7375, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8331, kappa: 0.6617, kb_relative_information_score: 171.1055, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8331, predictive_accuracy: 0.8333, prior_entropy: 0.9912, recall: 0.8333, relative_absolute_error: 0.3753, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7282, scimark_benchmark: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.8222, kappa: 0.64, kb_relative_information_score: 172.2577, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8222, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8485, scimark_benchmark: 986.8456, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8217, kappa: 0.6382, kb_relative_information_score: 134.3038, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.5346, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7117, scimark_benchmark: 932.0242, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.7964, kappa: 0.5878, kb_relative_information_score: 154.7526, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7965, predictive_accuracy: 0.7963, prior_entropy: 0.9912, recall: 0.7963, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.835, scimark_benchmark: 1413.089, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8291, kappa: 0.6533, kb_relative_information_score: 152.0626, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8294, predictive_accuracy: 0.8296, prior_entropy: 0.9912, recall: 0.8296, relative_absolute_error: 0.4588, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.714, scimark_benchmark: 1386.5717, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.7223, kappa: 0.438, kb_relative_information_score: 117.2977, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7225, predictive_accuracy: 0.7222, prior_entropy: 0.9912, recall: 0.7222, relative_absolute_error: 0.5624, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0607, scimark_benchmark: 1340.1351, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.7415, kappa: 0.4819, kb_relative_information_score: 83.2249, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7475, predictive_accuracy: 0.7407, prior_entropy: 0.9912, recall: 0.7407, relative_absolute_error: 0.7246, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8799, scimark_benchmark: 1264.6103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8474, kappa: 0.6902, kb_relative_information_score: 138.6327, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8486, predictive_accuracy: 0.8481, prior_entropy: 0.9912, recall: 0.8481, relative_absolute_error: 0.5242, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7136, scimark_benchmark: 1347.3845, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.7553, kappa: 0.5042, kb_relative_information_score: 135.6177, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7552, predictive_accuracy: 0.7556, prior_entropy: 0.9912, recall: 0.7556, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.995, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8179, kappa: 0.6303, kb_relative_information_score: 145.4052, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8183, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7289, scimark_benchmark: 1339.4189, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.8207, kappa: 0.6358, kb_relative_information_score: 166.5355, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8237, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.3845, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8045, scimark_benchmark: 1324.4471, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8168, kappa: 0.6278, kb_relative_information_score: 104.6926, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8203, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.656, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7548, scimark_benchmark: 1344.3348, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.762, kappa: 0.5168, kb_relative_information_score: 139.8519, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7623, predictive_accuracy: 0.763, prior_entropy: 0.9912, recall: 0.763, relative_absolute_error: 0.4882, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8056, scimark_benchmark: 942.6843, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8183, kappa: 0.6316, kb_relative_information_score: 140.4074, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8182, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.5022, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7578, scimark_benchmark: 1331.1784, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8138, kappa: 0.6218, kb_relative_information_score: 123.3905, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.815, predictive_accuracy: 0.8148, prior_entropy: 0.9912, recall: 0.8148, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7288, scimark_benchmark: 1343.4572, usercpu_time_millis: 170, usercpu_time_millis_training: 170,

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