Task
Supervised Classification on ipums_la_99-small

Supervised Classification on ipums_la_99-small

Task 3513 Supervised Classification ipums_la_99-small 236 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • study_1 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

236 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8092, kappa: 0.654, kb_relative_information_score: 5942.2925, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8119, predictive_accuracy: 0.8115, prior_entropy: 1.7594, recall: 0.8115, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.6408, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8183, kappa: 0.6782, kb_relative_information_score: 5994.636, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8256, predictive_accuracy: 0.8244, prior_entropy: 1.7594, recall: 0.8244, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.175, root_relative_squared_error: 0.6273, scimark_benchmark: 851.2074, usercpu_time_millis: 906560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 906550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5199, kb_relative_information_score: 1823.8061, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.1232, scimark_benchmark: 931.771, usercpu_time_millis: 102350, usercpu_time_millis_testing: 42310, usercpu_time_millis_training: 60040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5695, f_measure: 0.5104, kappa: 0.001, kb_relative_information_score: 423.7822, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.4567, predictive_accuracy: 0.5989, prior_entropy: 1.7594, recall: 0.5989, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2936, root_relative_squared_error: 1.0521, scimark_benchmark: 941.6675, usercpu_time_millis: 33350, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 33320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5199, kb_relative_information_score: 1823.8061, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.1232, scimark_benchmark: 947.1781, usercpu_time_millis: 96420, usercpu_time_millis_testing: 33650, usercpu_time_millis_training: 62770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.7222, kappa: 0.4985, kb_relative_information_score: 3952.1701, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.7663, predictive_accuracy: 0.6961, prior_entropy: 1.7594, recall: 0.6961, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.264, root_relative_squared_error: 0.9462, scimark_benchmark: 932.438, usercpu_time_millis: 280, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.7937, kappa: 0.6264, kb_relative_information_score: 5411.7756, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.7896, predictive_accuracy: 0.8004, prior_entropy: 1.7594, recall: 0.8004, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.6781, scimark_benchmark: 974.2014, usercpu_time_millis: 10964180, usercpu_time_millis_testing: 3357170, usercpu_time_millis_training: 7607010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8092, kappa: 0.654, kb_relative_information_score: 5942.2925, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8119, predictive_accuracy: 0.8115, prior_entropy: 1.7594, recall: 0.8115, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.6408, scimark_benchmark: 819.5729, usercpu_time_millis: 340, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5199, kb_relative_information_score: 1823.8061, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.1232, scimark_benchmark: 932.438, usercpu_time_millis: 109500, usercpu_time_millis_testing: 37340, usercpu_time_millis_training: 72160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5199, kb_relative_information_score: 1823.8061, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.1232, scimark_benchmark: 934.5964, usercpu_time_millis: 128840, usercpu_time_millis_testing: 46170, usercpu_time_millis_training: 82670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5695, f_measure: 0.5104, kappa: 0.001, kb_relative_information_score: 423.7822, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.4567, predictive_accuracy: 0.5989, prior_entropy: 1.7594, recall: 0.5989, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2936, root_relative_squared_error: 1.0521, scimark_benchmark: 930.404, usercpu_time_millis: 33090, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 33060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.8024, kappa: 0.6508, kb_relative_information_score: 5655.6245, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8097, predictive_accuracy: 0.8097, prior_entropy: 1.7594, recall: 0.8097, relative_absolute_error: 0.424, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.6479, scimark_benchmark: 936.1714, usercpu_time_millis: 810, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7027, kappa: 0.5472, kb_relative_information_score: 152.8547, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.6863, predictive_accuracy: 0.758, prior_entropy: 1.7594, recall: 0.758, relative_absolute_error: 1.1632, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.9608, scimark_benchmark: 936.1714, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7027, kappa: 0.5472, kb_relative_information_score: 152.8547, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.6863, predictive_accuracy: 0.758, prior_entropy: 1.7594, recall: 0.758, relative_absolute_error: 1.1632, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.9608, scimark_benchmark: 935.6052, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7027, kappa: 0.5472, kb_relative_information_score: 152.8547, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.6863, predictive_accuracy: 0.758, prior_entropy: 1.7594, recall: 0.758, relative_absolute_error: 1.1632, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.9608, scimark_benchmark: 940.0055, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7027, kappa: 0.5472, kb_relative_information_score: 152.8547, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.6863, predictive_accuracy: 0.758, prior_entropy: 1.7594, recall: 0.758, relative_absolute_error: 1.1632, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.9608, scimark_benchmark: 935.6052, usercpu_time_millis: 230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7027, kappa: 0.5472, kb_relative_information_score: 3489.3147, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.6863, predictive_accuracy: 0.758, prior_entropy: 1.7594, recall: 0.758, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.25, root_relative_squared_error: 0.8958, scimark_benchmark: 935.6052, usercpu_time_millis: 310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5199, kb_relative_information_score: 1823.8061, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.1232, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.7813, kappa: 0.6276, kb_relative_information_score: 5231.7801, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.7939, predictive_accuracy: 0.7974, prior_entropy: 1.7594, recall: 0.7974, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.6579, scimark_benchmark: 941.9549, usercpu_time_millis: 3890, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 3390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.7027, kappa: 0.5472, kb_relative_information_score: 4667.1761, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.6863, predictive_accuracy: 0.758, prior_entropy: 1.7594, recall: 0.758, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.7078, scimark_benchmark: 933.0918, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8092, kappa: 0.654, kb_relative_information_score: 5942.2925, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8119, predictive_accuracy: 0.8115, prior_entropy: 1.7594, recall: 0.8115, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.6408, scimark_benchmark: 907.1091, usercpu_time_millis: 220, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8183, kappa: 0.6782, kb_relative_information_score: 5994.636, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8256, predictive_accuracy: 0.8244, prior_entropy: 1.7594, recall: 0.8244, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.175, root_relative_squared_error: 0.6273, scimark_benchmark: 938.9926, usercpu_time_millis: 777580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 777560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5199, kb_relative_information_score: 1823.8061, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.1232, scimark_benchmark: 946.8777, usercpu_time_millis: 135170, usercpu_time_millis_testing: 42460, usercpu_time_millis_training: 92710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5695, f_measure: 0.5104, kappa: 0.001, kb_relative_information_score: 423.7822, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.4567, predictive_accuracy: 0.5989, prior_entropy: 1.7594, recall: 0.5989, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2936, root_relative_squared_error: 1.0521, scimark_benchmark: 922.5036, usercpu_time_millis: 31830, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 31800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8092, kappa: 0.654, kb_relative_information_score: 5942.2925, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8119, predictive_accuracy: 0.8115, prior_entropy: 1.7594, recall: 0.8115, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.6408, scimark_benchmark: 946.9304, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5199, kb_relative_information_score: 1823.8061, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.1232, scimark_benchmark: 1352.2552, usercpu_time_millis: 234060, usercpu_time_millis_testing: 89860, usercpu_time_millis_training: 144200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.7222, kappa: 0.4985, kb_relative_information_score: 3952.1701, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.7663, predictive_accuracy: 0.6961, prior_entropy: 1.7594, recall: 0.6961, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.264, root_relative_squared_error: 0.9462, scimark_benchmark: 1346.2927, usercpu_time_millis: 300, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.6557, kappa: 0.3654, kb_relative_information_score: 2425.4085, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.6428, predictive_accuracy: 0.6758, prior_entropy: 1.7594, recall: 0.6758, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.278, root_relative_squared_error: 0.9963, scimark_benchmark: 1319.4538, usercpu_time_millis: 1220, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.7222, kappa: 0.4985, kb_relative_information_score: 3952.1701, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.7663, predictive_accuracy: 0.6961, prior_entropy: 1.7594, recall: 0.6961, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.264, root_relative_squared_error: 0.9462, scimark_benchmark: 1292.514, usercpu_time_millis: 280, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8092, kappa: 0.654, kb_relative_information_score: 5942.2925, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8119, predictive_accuracy: 0.8115, prior_entropy: 1.7594, recall: 0.8115, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.6408, scimark_benchmark: 1324.9519, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.6557, kappa: 0.3654, kb_relative_information_score: 2425.4085, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.6428, predictive_accuracy: 0.6758, prior_entropy: 1.7594, recall: 0.6758, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.278, root_relative_squared_error: 0.9963, scimark_benchmark: 1339.2472, usercpu_time_millis: 1170, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.7222, kappa: 0.4985, kb_relative_information_score: 3952.1701, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.7663, predictive_accuracy: 0.6961, prior_entropy: 1.7594, recall: 0.6961, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.264, root_relative_squared_error: 0.9462, scimark_benchmark: 1339.2472, usercpu_time_millis: 290, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8141, kappa: 0.6603, kb_relative_information_score: 5273.5447, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8151, predictive_accuracy: 0.8147, prior_entropy: 1.7594, recall: 0.8147, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.216, root_relative_squared_error: 0.774, scimark_benchmark: 1340.9446, usercpu_time_millis: 733910, usercpu_time_millis_testing: 3210, usercpu_time_millis_training: 730700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.7222, kappa: 0.4985, kb_relative_information_score: 3952.1701, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.7663, predictive_accuracy: 0.6961, prior_entropy: 1.7594, recall: 0.6961, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.264, root_relative_squared_error: 0.9462, scimark_benchmark: 1346.2927, usercpu_time_millis: 300, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8141, kappa: 0.6603, kb_relative_information_score: 5273.5447, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8151, predictive_accuracy: 0.8147, prior_entropy: 1.7594, recall: 0.8147, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.216, root_relative_squared_error: 0.774, scimark_benchmark: 1393.8432, usercpu_time_millis: 683360, usercpu_time_millis_testing: 3060, usercpu_time_millis_training: 680300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8092, kappa: 0.654, kb_relative_information_score: 5942.2925, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8119, predictive_accuracy: 0.8115, prior_entropy: 1.7594, recall: 0.8115, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.6408, scimark_benchmark: 1322.3407, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.6557, kappa: 0.3654, kb_relative_information_score: 2425.4085, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.6428, predictive_accuracy: 0.6758, prior_entropy: 1.7594, recall: 0.6758, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.278, root_relative_squared_error: 0.9963, scimark_benchmark: 1336.0954, usercpu_time_millis: 1120, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.7222, kappa: 0.4985, kb_relative_information_score: 3952.1701, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.7663, predictive_accuracy: 0.6961, prior_entropy: 1.7594, recall: 0.6961, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.264, root_relative_squared_error: 0.9462, scimark_benchmark: 930.5999, usercpu_time_millis: 310, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5199, kb_relative_information_score: 1823.8061, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.1232, scimark_benchmark: 1324.8408, usercpu_time_millis: 160990, usercpu_time_millis_testing: 67370, usercpu_time_millis_training: 93620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.7222, kappa: 0.4985, kb_relative_information_score: 3952.1701, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.7663, predictive_accuracy: 0.6961, prior_entropy: 1.7594, recall: 0.6961, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.264, root_relative_squared_error: 0.9462, scimark_benchmark: 1324.6442, usercpu_time_millis: 280, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5695, f_measure: 0.5104, kappa: 0.001, kb_relative_information_score: 423.7822, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.4567, predictive_accuracy: 0.5989, prior_entropy: 1.7594, recall: 0.5989, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2936, root_relative_squared_error: 1.0521, scimark_benchmark: 1366.7181, usercpu_time_millis: 35350, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 35310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.5683, kappa: 0.1308, kb_relative_information_score: 2844.1966, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.5532, predictive_accuracy: 0.6758, prior_entropy: 1.7594, recall: 0.6758, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.8189, scimark_benchmark: 1331.7953, usercpu_time_millis: 15150, usercpu_time_millis_testing: 910, usercpu_time_millis_training: 14240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.6557, kappa: 0.3654, kb_relative_information_score: 2425.4085, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.6428, predictive_accuracy: 0.6758, prior_entropy: 1.7594, recall: 0.6758, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.278, root_relative_squared_error: 0.9963, scimark_benchmark: 1319.4538, usercpu_time_millis: 1530, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.7222, kappa: 0.4985, kb_relative_information_score: 3952.1701, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.7663, predictive_accuracy: 0.6961, prior_entropy: 1.7594, recall: 0.6961, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.264, root_relative_squared_error: 0.9462, scimark_benchmark: 1316.5668, usercpu_time_millis: 310, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5199, kb_relative_information_score: 1823.8061, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.1232, scimark_benchmark: 1342.8584, usercpu_time_millis: 175890, usercpu_time_millis_testing: 55000, usercpu_time_millis_training: 120890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5199, kb_relative_information_score: 1823.8061, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.1232, scimark_benchmark: 1309.2287, usercpu_time_millis: 207610, usercpu_time_millis_testing: 91370, usercpu_time_millis_training: 116240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.7222, kappa: 0.4985, kb_relative_information_score: 3952.1701, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.7663, predictive_accuracy: 0.6961, prior_entropy: 1.7594, recall: 0.6961, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.264, root_relative_squared_error: 0.9462, scimark_benchmark: 1337.3324, usercpu_time_millis: 290, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.7222, kappa: 0.4985, kb_relative_information_score: 3952.1701, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.7663, predictive_accuracy: 0.6961, prior_entropy: 1.7594, recall: 0.6961, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.264, root_relative_squared_error: 0.9462, scimark_benchmark: 1325.8468, usercpu_time_millis: 310, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8141, kappa: 0.6603, kb_relative_information_score: 5273.5447, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8151, predictive_accuracy: 0.8147, prior_entropy: 1.7594, recall: 0.8147, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.216, root_relative_squared_error: 0.774, scimark_benchmark: 1325.4787, usercpu_time_millis: 692330, usercpu_time_millis_testing: 3000, usercpu_time_millis_training: 689330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5695, f_measure: 0.5104, kappa: 0.001, kb_relative_information_score: 423.7822, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.4567, predictive_accuracy: 0.5989, prior_entropy: 1.7594, recall: 0.5989, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2936, root_relative_squared_error: 1.0521, scimark_benchmark: 1313.5633, usercpu_time_millis: 36570, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 36530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.5683, kappa: 0.1308, kb_relative_information_score: 2844.1966, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.5532, predictive_accuracy: 0.6758, prior_entropy: 1.7594, recall: 0.6758, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.8189, scimark_benchmark: 1320.8283, usercpu_time_millis: 15060, usercpu_time_millis_testing: 1120, usercpu_time_millis_training: 13940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8006, kappa: 0.6343, kb_relative_information_score: 4827.9949, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8009, predictive_accuracy: 0.8005, prior_entropy: 1.7594, recall: 0.8005, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.8372, scimark_benchmark: 1318.3027, usercpu_time_millis: 475720, usercpu_time_millis_testing: 3810, usercpu_time_millis_training: 471910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.7027, kappa: 0.5472, kb_relative_information_score: 4828.052, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.6863, predictive_accuracy: 0.758, prior_entropy: 1.7594, recall: 0.758, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.195, root_relative_squared_error: 0.6986, scimark_benchmark: 1342.6744, usercpu_time_millis: 310010, usercpu_time_millis_testing: 310010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.6557, kappa: 0.3654, kb_relative_information_score: 2425.4085, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.6428, predictive_accuracy: 0.6758, prior_entropy: 1.7594, recall: 0.6758, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.278, root_relative_squared_error: 0.9963, scimark_benchmark: 1339.8573, usercpu_time_millis: 1230, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8183, kappa: 0.6782, kb_relative_information_score: 5994.636, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8256, predictive_accuracy: 0.8244, prior_entropy: 1.7594, recall: 0.8244, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.175, root_relative_squared_error: 0.6273, scimark_benchmark: 1333.0982, usercpu_time_millis: 560620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 560610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.5683, kappa: 0.1308, kb_relative_information_score: 2844.1966, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.5532, predictive_accuracy: 0.6758, prior_entropy: 1.7594, recall: 0.6758, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.8189, scimark_benchmark: 1295.609, usercpu_time_millis: 16060, usercpu_time_millis_testing: 1430, usercpu_time_millis_training: 14630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5199, kb_relative_information_score: 1823.8061, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.1232, scimark_benchmark: 1306.468, usercpu_time_millis: 231080, usercpu_time_millis_testing: 66660, usercpu_time_millis_training: 164420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5199, kb_relative_information_score: 1823.8061, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.1232, scimark_benchmark: 1365.0842, usercpu_time_millis: 234000, usercpu_time_millis_testing: 89160, usercpu_time_millis_training: 144840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.7222, kappa: 0.4985, kb_relative_information_score: 3952.1701, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.7663, predictive_accuracy: 0.6961, prior_entropy: 1.7594, recall: 0.6961, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.264, root_relative_squared_error: 0.9462, scimark_benchmark: 1333.9912, usercpu_time_millis: 290, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5695, f_measure: 0.5104, kappa: 0.001, kb_relative_information_score: 423.7822, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.4567, predictive_accuracy: 0.5989, prior_entropy: 1.7594, recall: 0.5989, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2936, root_relative_squared_error: 1.0521, scimark_benchmark: 1333.9912, usercpu_time_millis: 35710, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 35670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8092, kappa: 0.654, kb_relative_information_score: 5942.2925, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8119, predictive_accuracy: 0.8115, prior_entropy: 1.7594, recall: 0.8115, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.6408, scimark_benchmark: 1344.0499, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.6557, kappa: 0.3654, kb_relative_information_score: 2425.4085, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.6428, predictive_accuracy: 0.6758, prior_entropy: 1.7594, recall: 0.6758, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.278, root_relative_squared_error: 0.9963, scimark_benchmark: 1323.4116, usercpu_time_millis: 1170, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.5683, kappa: 0.1308, kb_relative_information_score: 2844.1966, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.5532, predictive_accuracy: 0.6758, prior_entropy: 1.7594, recall: 0.6758, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.8189, scimark_benchmark: 1343.3311, usercpu_time_millis: 13710, usercpu_time_millis_testing: 930, usercpu_time_millis_training: 12780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.7222, kappa: 0.4985, kb_relative_information_score: 3952.1701, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.7663, predictive_accuracy: 0.6961, prior_entropy: 1.7594, recall: 0.6961, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.264, root_relative_squared_error: 0.9462, scimark_benchmark: 938.0414, usercpu_time_millis: 290, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.5683, kappa: 0.1308, kb_relative_information_score: 2844.1966, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.5532, predictive_accuracy: 0.6758, prior_entropy: 1.7594, recall: 0.6758, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.8189, scimark_benchmark: 1278.6629, usercpu_time_millis: 13750, usercpu_time_millis_testing: 1070, usercpu_time_millis_training: 12680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.7222, kappa: 0.4985, kb_relative_information_score: 3952.1701, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.7663, predictive_accuracy: 0.6961, prior_entropy: 1.7594, recall: 0.6961, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.264, root_relative_squared_error: 0.9462, scimark_benchmark: 918.0213, usercpu_time_millis: 300, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8092, kappa: 0.654, kb_relative_information_score: 5942.2925, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8119, predictive_accuracy: 0.8115, prior_entropy: 1.7594, recall: 0.8115, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.6408, scimark_benchmark: 1261.7298, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.7222, kappa: 0.4985, kb_relative_information_score: 3952.1701, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.7663, predictive_accuracy: 0.6961, prior_entropy: 1.7594, recall: 0.6961, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.264, root_relative_squared_error: 0.9462, scimark_benchmark: 1380.2233, usercpu_time_millis: 270, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.6557, kappa: 0.3654, kb_relative_information_score: 2425.4085, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.6428, predictive_accuracy: 0.6758, prior_entropy: 1.7594, recall: 0.6758, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.278, root_relative_squared_error: 0.9963, scimark_benchmark: 1064.8317, usercpu_time_millis: 1040, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.8052, kappa: 0.6517, kb_relative_information_score: 5585.0373, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8123, predictive_accuracy: 0.8102, prior_entropy: 1.7594, recall: 0.8102, relative_absolute_error: 0.398, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.676, scimark_benchmark: 1345.3152, usercpu_time_millis: 2119660, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2119620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8183, kappa: 0.6782, kb_relative_information_score: 5994.636, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8256, predictive_accuracy: 0.8244, prior_entropy: 1.7594, recall: 0.8244, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.175, root_relative_squared_error: 0.6273, scimark_benchmark: 909.1698, usercpu_time_millis: 761490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 761480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.8078, kappa: 0.6494, kb_relative_information_score: 5354.3279, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8095, predictive_accuracy: 0.8085, prior_entropy: 1.7594, recall: 0.8085, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.21, root_relative_squared_error: 0.7526, scimark_benchmark: 1346.3935, usercpu_time_millis: 170606800, usercpu_time_millis_testing: 170606440, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8141, kappa: 0.6603, kb_relative_information_score: 5273.5447, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8151, predictive_accuracy: 0.8147, prior_entropy: 1.7594, recall: 0.8147, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.216, root_relative_squared_error: 0.774, scimark_benchmark: 1363.434, usercpu_time_millis: 685820, usercpu_time_millis_testing: 3120, usercpu_time_millis_training: 682700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.8078, kappa: 0.6494, kb_relative_information_score: 5354.3279, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8095, predictive_accuracy: 0.8085, prior_entropy: 1.7594, recall: 0.8085, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.21, root_relative_squared_error: 0.7526, scimark_benchmark: 926.6704, usercpu_time_millis: 290070870, usercpu_time_millis_testing: 290070250, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.766, kappa: 0.6053, kb_relative_information_score: 4283.5418, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.7515, predictive_accuracy: 0.7883, prior_entropy: 1.7594, recall: 0.7883, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.7214, scimark_benchmark: 1351.788, usercpu_time_millis: 10285500, usercpu_time_millis_testing: 1440, usercpu_time_millis_training: 10284060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.5199, kb_relative_information_score: 1129.4883, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.9284, scimark_benchmark: 1345.3152, usercpu_time_millis: 208890, usercpu_time_millis_testing: 820, usercpu_time_millis_training: 208070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, f_measure: 0.5121, kappa: 0.0013, kb_relative_information_score: 433.9616, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.4591, predictive_accuracy: 0.6036, prior_entropy: 1.7594, recall: 0.6036, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2922, root_relative_squared_error: 1.0471, scimark_benchmark: 1371.9645, usercpu_time_millis: 260850, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 260620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8092, kappa: 0.654, kb_relative_information_score: 5942.2925, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8119, predictive_accuracy: 0.8115, prior_entropy: 1.7594, recall: 0.8115, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.6408, scimark_benchmark: 1331.2332, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.7222, kappa: 0.4985, kb_relative_information_score: 3952.1701, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.7663, predictive_accuracy: 0.6961, prior_entropy: 1.7594, recall: 0.6961, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.264, root_relative_squared_error: 0.9462, scimark_benchmark: 1111.828, usercpu_time_millis: 290, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8092, kappa: 0.654, kb_relative_information_score: 5942.2925, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8119, predictive_accuracy: 0.8115, prior_entropy: 1.7594, recall: 0.8115, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.6408, scimark_benchmark: 1346.4887, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.7317, kappa: 0.5073, kb_relative_information_score: 3843.7668, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.7348, predictive_accuracy: 0.729, prior_entropy: 1.7594, recall: 0.729, relative_absolute_error: 0.4999, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.9279, scimark_benchmark: 1340.4336, usercpu_time_millis: 837850, usercpu_time_millis_testing: 837850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.6695, kappa: 0.4167, kb_relative_information_score: -2221.4148, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.6475, predictive_accuracy: 0.7181, prior_entropy: 1.7594, recall: 0.7181, relative_absolute_error: 1.5475, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.3446, root_relative_squared_error: 1.2349, scimark_benchmark: 937.5996, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.8151, kappa: 0.6734, kb_relative_information_score: -217.6309, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8135, predictive_accuracy: 0.822, prior_entropy: 1.7594, recall: 0.822, relative_absolute_error: 1.335, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.3076, root_relative_squared_error: 1.1022, scimark_benchmark: 1328.941, usercpu_time_millis: 8667910, usercpu_time_millis_testing: 5306210, usercpu_time_millis_training: 3361700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.5199, kb_relative_information_score: 1249.7691, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.9103, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.9197, scimark_benchmark: 1324.5988, usercpu_time_millis: 110550, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 110110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.5199, kb_relative_information_score: 888.3251, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.9318, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.9418, scimark_benchmark: 1275.9462, usercpu_time_millis: 52010, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 51850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8128, kappa: 0.6575, kb_relative_information_score: 5858.3146, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8135, predictive_accuracy: 0.8133, prior_entropy: 1.7594, recall: 0.8133, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.6533, scimark_benchmark: 1354.686, usercpu_time_millis: 9400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 9390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.815, kappa: 0.6695, kb_relative_information_score: 5947.505, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8166, predictive_accuracy: 0.82, prior_entropy: 1.7594, recall: 0.82, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.6322, scimark_benchmark: 1296.8947, usercpu_time_millis: 1130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5199, kb_relative_information_score: 1823.8061, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.3134, root_relative_squared_error: 1.1232, scimark_benchmark: 1319.4881, usercpu_time_millis: 173130, usercpu_time_millis_testing: 63660, usercpu_time_millis_training: 109470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8092, kappa: 0.654, kb_relative_information_score: 5942.2925, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8119, predictive_accuracy: 0.8115, prior_entropy: 1.7594, recall: 0.8115, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.6408, scimark_benchmark: 1350.9691, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.799, kappa: 0.6322, kb_relative_information_score: 4679.8085, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.7985, predictive_accuracy: 0.7998, prior_entropy: 1.7594, recall: 0.7998, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.8571, scimark_benchmark: 1358.4523, usercpu_time_millis: 3420, usercpu_time_millis_testing: 720, usercpu_time_millis_training: 2700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.5199, kb_relative_information_score: 0.0146, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.4305, predictive_accuracy: 0.6562, prior_entropy: 1.7594, recall: 0.6562, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2791, root_relative_squared_error: 1, scimark_benchmark: 1344.7246, usercpu_time_millis: 600, usercpu_time_millis_testing: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7027, kappa: 0.5472, kb_relative_information_score: 4667.1943, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.6863, predictive_accuracy: 0.758, prior_entropy: 1.7594, recall: 0.758, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.7078, scimark_benchmark: 1329.0992, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.8014, kappa: 0.6531, kb_relative_information_score: 4815.2462, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8063, predictive_accuracy: 0.8125, prior_entropy: 1.7594, recall: 0.8125, relative_absolute_error: 0.5951, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.7069, scimark_benchmark: 1329.0992, usercpu_time_millis: 8880, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.8073, kappa: 0.651, kb_relative_information_score: 5863.1673, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8088, predictive_accuracy: 0.8104, prior_entropy: 1.7594, recall: 0.8104, relative_absolute_error: 0.3963, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.6502, scimark_benchmark: 1325.5087, usercpu_time_millis: 2390, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8183, kappa: 0.6782, kb_relative_information_score: 5994.636, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8256, predictive_accuracy: 0.8244, prior_entropy: 1.7594, recall: 0.8244, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.175, root_relative_squared_error: 0.6273, scimark_benchmark: 1341.7207, usercpu_time_millis: 569460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 569450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.7534, kappa: 0.5713, kb_relative_information_score: 4823.4508, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.7365, predictive_accuracy: 0.7854, prior_entropy: 1.7594, recall: 0.7854, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.7554, scimark_benchmark: 1332.2926, usercpu_time_millis: 15730, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 15670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8147, kappa: 0.6609, kb_relative_information_score: 5812.3728, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.8153, predictive_accuracy: 0.8152, prior_entropy: 1.7594, recall: 0.8152, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.6631, scimark_benchmark: 1263.2205, usercpu_time_millis: 20650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5756, f_measure: 0.5104, kappa: -0.0001, kb_relative_information_score: 428.4936, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.4559, predictive_accuracy: 0.6004, prior_entropy: 1.7594, recall: 0.6004, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2928, root_relative_squared_error: 1.0492, scimark_benchmark: 1324.4471, usercpu_time_millis: 65620, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 65580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.7319, kappa: 0.5183, kb_relative_information_score: 4221.3262, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.1558, number_of_instances: 8844, precision: 0.766, predictive_accuracy: 0.7143, prior_entropy: 1.7594, recall: 0.7143, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.2791, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.9005, scimark_benchmark: 1368.9272, usercpu_time_millis: 460, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 20,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs