Task
Supervised Classification on re1.wc

Supervised Classification on re1.wc

Task 4235 Supervised Classification re1.wc 89 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8194, kappa: 0.8042, kb_relative_information_score: 13072.4809, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8143, predictive_accuracy: 0.8272, prior_entropy: 3.8125, recall: 0.8272, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.5795, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.5719, kappa: 0.5826, kb_relative_information_score: 9149.539, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.5264, predictive_accuracy: 0.6502, prior_entropy: 3.8125, recall: 0.6502, relative_absolute_error: 0.5008, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.133, root_relative_squared_error: 0.7066, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8508, kappa: 0.836, kb_relative_information_score: 13734.1922, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8507, predictive_accuracy: 0.8553, prior_entropy: 3.8125, recall: 0.8553, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.5434, scimark_benchmark: 931.771, usercpu_time_millis: 14527440, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 14527420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.8069, kappa: 0.7955, kb_relative_information_score: 13023.9396, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8081, predictive_accuracy: 0.8208, prior_entropy: 3.8125, recall: 0.8208, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.5584, scimark_benchmark: 851.2074, usercpu_time_millis: 1831020, usercpu_time_millis_testing: 578230, usercpu_time_millis_training: 1252790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8033, kappa: 0.791, kb_relative_information_score: 12963.9084, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8036, predictive_accuracy: 0.8168, prior_entropy: 3.8125, recall: 0.8168, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.5661, scimark_benchmark: 927.7147, usercpu_time_millis: 1001430, usercpu_time_millis_testing: 285430, usercpu_time_millis_training: 716000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8194, kappa: 0.8042, kb_relative_information_score: 13072.4809, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8143, predictive_accuracy: 0.8272, prior_entropy: 3.8125, recall: 0.8272, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.5795, scimark_benchmark: 942.2392, usercpu_time_millis: 20760, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 20320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.5719, kappa: 0.5826, kb_relative_information_score: 9149.539, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.5264, predictive_accuracy: 0.6502, prior_entropy: 3.8125, recall: 0.6502, relative_absolute_error: 0.5008, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.133, root_relative_squared_error: 0.7066, scimark_benchmark: 935.2002, usercpu_time_millis: 638640, usercpu_time_millis_training: 638640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8063, kappa: 0.793, kb_relative_information_score: 13061.4177, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8076, predictive_accuracy: 0.8188, prior_entropy: 3.8125, recall: 0.8188, relative_absolute_error: 0.2789, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.5623, scimark_benchmark: 935.8024, usercpu_time_millis: 4663970, usercpu_time_millis_testing: 1780, usercpu_time_millis_training: 4662190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.0994, kappa: 0, kb_relative_information_score: 164.4393, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.09, predictive_accuracy: 0.2225, prior_entropy: 3.8125, recall: 0.2225, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1883, root_relative_squared_error: 1.0002, scimark_benchmark: 926.5859, usercpu_time_millis: 32010, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 31950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 2677.4165, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.9418, scimark_benchmark: 938.3115, usercpu_time_millis: 3110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 2677.4165, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.9418, scimark_benchmark: 941.9549, usercpu_time_millis: 3150, usercpu_time_millis_training: 3150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 2677.4165, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.9418, scimark_benchmark: 938.3115, usercpu_time_millis: 3020, usercpu_time_millis_training: 3020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.8185, kappa: 0.8095, kb_relative_information_score: 12823.2048, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8241, predictive_accuracy: 0.8337, prior_entropy: 3.8125, recall: 0.8337, relative_absolute_error: 0.3471, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.101, root_relative_squared_error: 0.5362, scimark_benchmark: 936.1714, usercpu_time_millis: 1057670, usercpu_time_millis_testing: 940, usercpu_time_millis_training: 1056730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 2677.4165, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.9418, scimark_benchmark: 940.0055, usercpu_time_millis: 2910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 2677.4165, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.9418, scimark_benchmark: 940.0055, usercpu_time_millis: 2900, usercpu_time_millis_training: 2900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0819, kb_relative_information_score: 1690.6389, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.0501, predictive_accuracy: 0.2239, prior_entropy: 3.8125, recall: 0.2239, relative_absolute_error: 0.8745, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.2492, root_relative_squared_error: 1.3233, scimark_benchmark: 922.8232, usercpu_time_millis: 560, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 2675.1016, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8854, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.9407, scimark_benchmark: 943.4741, usercpu_time_millis: 2600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.8555, kappa: 0.8405, kb_relative_information_score: 13823.7021, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8547, predictive_accuracy: 0.8596, prior_entropy: 3.8125, recall: 0.8596, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.5161, scimark_benchmark: 943.4741, usercpu_time_millis: 9476510, usercpu_time_millis_testing: 7040, usercpu_time_millis_training: 9469470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8194, kappa: 0.8042, kb_relative_information_score: 13072.4809, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8143, predictive_accuracy: 0.8272, prior_entropy: 3.8125, recall: 0.8272, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.5795, scimark_benchmark: 899.1108, usercpu_time_millis: 19370, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 18940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.5719, kappa: 0.5826, kb_relative_information_score: 9149.539, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.5264, predictive_accuracy: 0.6502, prior_entropy: 3.8125, recall: 0.6502, relative_absolute_error: 0.5008, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.133, root_relative_squared_error: 0.7066, scimark_benchmark: 905.2109, usercpu_time_millis: 547510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 547500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.2192, kappa: 0.1987, kb_relative_information_score: 1498.7108, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.156, predictive_accuracy: 0.3687, prior_entropy: 3.8125, recall: 0.3687, relative_absolute_error: 0.9507, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.96, scimark_benchmark: 917.407, usercpu_time_millis: 6803920, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 6803400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8194, kappa: 0.8042, kb_relative_information_score: 13072.4809, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8143, predictive_accuracy: 0.8272, prior_entropy: 3.8125, recall: 0.8272, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.5795, scimark_benchmark: 936.3952, usercpu_time_millis: 16890, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 16490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.8538, kappa: 0.8387, kb_relative_information_score: 13770.8548, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8531, predictive_accuracy: 0.8581, prior_entropy: 3.8125, recall: 0.8581, relative_absolute_error: 0.1963, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.5125, scimark_benchmark: 1345.7919, usercpu_time_millis: 3976620, usercpu_time_millis_testing: 94480, usercpu_time_millis_training: 3882140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8194, kappa: 0.8042, kb_relative_information_score: 13072.4809, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8143, predictive_accuracy: 0.8272, prior_entropy: 3.8125, recall: 0.8272, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.5795, scimark_benchmark: 1347.1763, usercpu_time_millis: 13980, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 13620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 2721.0052, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8849, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.941, scimark_benchmark: 1332.1612, usercpu_time_millis: 4100620, usercpu_time_millis_testing: 4100620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.5719, kappa: 0.5826, kb_relative_information_score: 9149.539, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.5264, predictive_accuracy: 0.6502, prior_entropy: 3.8125, recall: 0.6502, relative_absolute_error: 0.5008, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.133, root_relative_squared_error: 0.7066, scimark_benchmark: 1337.3324, usercpu_time_millis: 394310, usercpu_time_millis_training: 394310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8078, kappa: 0.7919, kb_relative_information_score: 12616.1667, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8027, predictive_accuracy: 0.8168, prior_entropy: 3.8125, recall: 0.8168, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.113, root_relative_squared_error: 0.6001, scimark_benchmark: 1333.0982, usercpu_time_millis: 153220, usercpu_time_millis_training: 153220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.7779, kappa: 0.7708, kb_relative_information_score: 12178.404, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.7968, predictive_accuracy: 0.8011, prior_entropy: 3.8125, recall: 0.8011, relative_absolute_error: 0.2645, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.6503, scimark_benchmark: 1331.0047, usercpu_time_millis: 121090, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 120920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.8639, kappa: 0.8511, kb_relative_information_score: 14052.3748, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8626, predictive_accuracy: 0.8688, prior_entropy: 3.8125, recall: 0.8688, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.5023, scimark_benchmark: 1320.9387, usercpu_time_millis: 8542540, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8542530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.5882, kappa: 0.5373, kb_relative_information_score: 8881.794, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.6501, predictive_accuracy: 0.6013, prior_entropy: 3.8125, recall: 0.6013, relative_absolute_error: 0.4662, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.8515, scimark_benchmark: 1313.5052, usercpu_time_millis: 3743900, usercpu_time_millis_testing: 3743900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.8639, kappa: 0.8511, kb_relative_information_score: 14052.3748, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8626, predictive_accuracy: 0.8688, prior_entropy: 3.8125, recall: 0.8688, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.5023, scimark_benchmark: 1301.1661, usercpu_time_millis: 8642170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8642160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8103, kappa: 0.8017, kb_relative_information_score: 12735.3237, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8179, predictive_accuracy: 0.8264, prior_entropy: 3.8125, recall: 0.8264, relative_absolute_error: 0.3294, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.5489, scimark_benchmark: 1342.3004, usercpu_time_millis: 2811460, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 2811180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8627, kappa: 0.8501, kb_relative_information_score: 14062.9128, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8614, predictive_accuracy: 0.868, prior_entropy: 3.8125, recall: 0.868, relative_absolute_error: 0.1722, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.4898, scimark_benchmark: 1309.7377, usercpu_time_millis: 3141330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3141320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.7937, kappa: 0.7952, kb_relative_information_score: 11332.898, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.811, predictive_accuracy: 0.8232, prior_entropy: 3.8125, recall: 0.8232, relative_absolute_error: 0.5095, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.6091, scimark_benchmark: 1349.9917, usercpu_time_millis: 1627410, usercpu_time_millis_testing: 25590, usercpu_time_millis_training: 1601820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8627, kappa: 0.8501, kb_relative_information_score: 14062.9128, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8614, predictive_accuracy: 0.868, prior_entropy: 3.8125, recall: 0.868, relative_absolute_error: 0.1722, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.4898, scimark_benchmark: 1318.8785, usercpu_time_millis: 3347750, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3347740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.441, kappa: 0.3712, kb_relative_information_score: 6058.6725, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.4393, predictive_accuracy: 0.4444, prior_entropy: 3.8125, recall: 0.4444, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1994, root_relative_squared_error: 1.0589, scimark_benchmark: 1365.1392, usercpu_time_millis: 3849410, usercpu_time_millis_testing: 496470, usercpu_time_millis_training: 3352940,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 2677.4165, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.9418, scimark_benchmark: 938.9967, usercpu_time_millis: 3190, usercpu_time_millis_training: 3190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 2677.4165, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.9418, scimark_benchmark: 889.3151, usercpu_time_millis: 3020, usercpu_time_millis_training: 3020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8557, kappa: 0.8408, kb_relative_information_score: 13833.5722, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8549, predictive_accuracy: 0.8599, prior_entropy: 3.8125, recall: 0.8599, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.514, scimark_benchmark: 1336.2509, usercpu_time_millis: 1083060, usercpu_time_millis_testing: 9650, usercpu_time_millis_training: 1073410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 2677.4165, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.9418, scimark_benchmark: 825.5282, usercpu_time_millis: 2750, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.3359, kappa: 0.253, kb_relative_information_score: 6111.9444, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.5686, predictive_accuracy: 0.3982, prior_entropy: 3.8125, recall: 0.3982, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.9684, scimark_benchmark: 1321.9426, usercpu_time_millis: 5730, usercpu_time_millis_testing: 5730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.3837, kappa: 0.3031, kb_relative_information_score: 6664.4353, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.5568, predictive_accuracy: 0.4204, prior_entropy: 3.8125, recall: 0.4204, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.9816, scimark_benchmark: 882.7843, usercpu_time_millis: 7480, usercpu_time_millis_testing: 7480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.2882, kappa: 0.2298, kb_relative_information_score: 1039.2103, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.464, predictive_accuracy: 0.3928, prior_entropy: 3.8125, recall: 0.3928, relative_absolute_error: 1.0535, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1923, root_relative_squared_error: 1.0211, scimark_benchmark: 1034.1273, usercpu_time_millis: 66230, usercpu_time_millis_testing: 58470, usercpu_time_millis_training: 7760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.7292, kappa: 0.6951, kb_relative_information_score: 2381.8768, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.7482, predictive_accuracy: 0.7364, prior_entropy: 3.8125, recall: 0.7364, relative_absolute_error: 1.0412, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.19, root_relative_squared_error: 1.0089, scimark_benchmark: 889.3151, usercpu_time_millis: 12470, usercpu_time_millis_testing: 6530, usercpu_time_millis_training: 5940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8594, kappa: 0.843, kb_relative_information_score: 13654.3906, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8593, predictive_accuracy: 0.8613, prior_entropy: 3.8125, recall: 0.8613, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.5594, scimark_benchmark: 938.343, usercpu_time_millis: 660, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.6817, kappa: 0.6646, kb_relative_information_score: 8959.6578, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.7644, predictive_accuracy: 0.7174, prior_entropy: 3.8125, recall: 0.7174, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.746, scimark_benchmark: 1066.7184, usercpu_time_millis: 27510, usercpu_time_millis_testing: 890, usercpu_time_millis_training: 26620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.4432, kappa: 0.3733, kb_relative_information_score: 6091.4928, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.4422, predictive_accuracy: 0.4453, prior_entropy: 3.8125, recall: 0.4453, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.2107, root_relative_squared_error: 1.1188, scimark_benchmark: 1333.5799, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.7736, kappa: 0.7593, kb_relative_information_score: 12006.1256, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.7718, predictive_accuracy: 0.7887, prior_entropy: 3.8125, recall: 0.7887, relative_absolute_error: 0.3319, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.6066, scimark_benchmark: 1313.5726, usercpu_time_millis: 19600, usercpu_time_millis_training: 19600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8136, kappa: 0.7995, kb_relative_information_score: 12702.9384, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8158, predictive_accuracy: 0.8233, prior_entropy: 3.8125, recall: 0.8233, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.566, scimark_benchmark: 1318.5526, usercpu_time_millis: 158700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 158690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.6617, kappa: 0.6496, kb_relative_information_score: 10047.6047, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.7177, predictive_accuracy: 0.7002, prior_entropy: 3.8125, recall: 0.7002, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.8225, scimark_benchmark: 1339.3974, usercpu_time_millis: 307080, usercpu_time_millis_testing: 157940, usercpu_time_millis_training: 149140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.779, kappa: 0.7563, kb_relative_information_score: 12291.2297, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.7765, predictive_accuracy: 0.7849, prior_entropy: 3.8125, recall: 0.7849, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.6726, scimark_benchmark: 1330.0803, usercpu_time_millis: 324220, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 324150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.2533, kappa: 0.2283, kb_relative_information_score: 3683.7324, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.1978, predictive_accuracy: 0.3959, prior_entropy: 3.8125, recall: 0.3959, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.2198, root_relative_squared_error: 1.1675, scimark_benchmark: 1465.2979, usercpu_time_millis: 1270, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.7857, kappa: 0.7675, kb_relative_information_score: 12315.8595, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.785, predictive_accuracy: 0.7959, prior_entropy: 3.8125, recall: 0.7959, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.6473, scimark_benchmark: 1473.7998, usercpu_time_millis: 98110, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 98050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4898, f_measure: 0.0819, kb_relative_information_score: 10.0192, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.0501, predictive_accuracy: 0.2239, prior_entropy: 3.8125, recall: 0.2239, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1883, root_relative_squared_error: 1, scimark_benchmark: 1445.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, build_cpu_time: 1798.209, build_memory: 89399307.9416, f_measure: 0.797, kappa: 0.7871, kb_relative_information_score: 13160.5178, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.071, number_of_instances: 16570, precision: 0.8021, predictive_accuracy: 0.8142, prior_entropy: 3.8125, recall: 0.8142, relative_absolute_error: 0.2912, root_mean_prior_squared_error: 0.1883, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.5611, scimark_benchmark: 930.3907,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs