Task
Supervised Classification on vehicle_sensIT

Supervised Classification on vehicle_sensIT

Task 4212 Supervised Classification vehicle_sensIT 129 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

129 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8339, kappa: 0.6689, kb_relative_information_score: 551402.7914, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8393, predictive_accuracy: 0.8345, prior_entropy: 1, recall: 0.8345, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7357, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8358, kappa: 0.673, kb_relative_information_score: 412534.6044, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8425, predictive_accuracy: 0.8365, prior_entropy: 1, recall: 0.8365, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7272, scimark_benchmark: 972.587, usercpu_time_millis: 891100, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 890900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8412, kappa: 0.6831, kb_relative_information_score: 556228.6344, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8444, predictive_accuracy: 0.8416, prior_entropy: 1, recall: 0.8416, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6851, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8746, kappa: 0.7498, kb_relative_information_score: 612874.0431, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.879, predictive_accuracy: 0.8749, prior_entropy: 1, recall: 0.8749, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6227, scimark_benchmark: 897.2862, usercpu_time_millis: 7316470, usercpu_time_millis_testing: 620480, usercpu_time_millis_training: 6695990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8726, kappa: 0.7458, kb_relative_information_score: 611976.4125, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8768, predictive_accuracy: 0.8729, prior_entropy: 1, recall: 0.8729, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6272, scimark_benchmark: 931.4089, usercpu_time_millis: 3145730, usercpu_time_millis_testing: 250240, usercpu_time_millis_training: 2895490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8684, kappa: 0.7374, kb_relative_information_score: 610667.5162, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8723, predictive_accuracy: 0.8687, prior_entropy: 1, recall: 0.8687, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6359, scimark_benchmark: 931.4089, usercpu_time_millis: 1522240, usercpu_time_millis_testing: 69730, usercpu_time_millis_training: 1452510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8487, kappa: 0.7, kb_relative_information_score: 680511.6177, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8621, predictive_accuracy: 0.85, prior_entropy: 1, recall: 0.85, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.7229, scimark_benchmark: 936.9759, usercpu_time_millis: 2723290, usercpu_time_millis_testing: 2170, usercpu_time_millis_training: 2721120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8339, kappa: 0.6689, kb_relative_information_score: 551402.7914, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8393, predictive_accuracy: 0.8345, prior_entropy: 1, recall: 0.8345, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7357, scimark_benchmark: 942.2392, usercpu_time_millis: 92300, usercpu_time_millis_testing: 2050, usercpu_time_millis_training: 90250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8763, kappa: 0.7532, kb_relative_information_score: 613663.2543, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8807, predictive_accuracy: 0.8766, prior_entropy: 1, recall: 0.8766, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.619, scimark_benchmark: 972.587, usercpu_time_millis: 28685750, usercpu_time_millis_testing: 2674740, usercpu_time_millis_training: 26011010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8759, kappa: 0.7525, kb_relative_information_score: 613474.8013, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8803, predictive_accuracy: 0.8762, prior_entropy: 1, recall: 0.8762, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.6201, scimark_benchmark: 941.7587, usercpu_time_millis: 13526820, usercpu_time_millis_testing: 1105860, usercpu_time_millis_training: 12420960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8358, kappa: 0.673, kb_relative_information_score: 412534.6044, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8425, predictive_accuracy: 0.8365, prior_entropy: 1, recall: 0.8365, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7272, scimark_benchmark: 935.2002, usercpu_time_millis: 628010, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 627790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8412, kappa: 0.6831, kb_relative_information_score: 556228.6344, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8444, predictive_accuracy: 0.8416, prior_entropy: 1, recall: 0.8416, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6851, scimark_benchmark: 944.0133, usercpu_time_millis: 583100, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 582880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8274, kappa: 0.6566, kb_relative_information_score: 537641.4642, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.835, predictive_accuracy: 0.8283, prior_entropy: 1, recall: 0.8283, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7074, scimark_benchmark: 938.3115, usercpu_time_millis: 139540, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 139300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8274, kappa: 0.6566, kb_relative_information_score: 537641.4642, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.835, predictive_accuracy: 0.8283, prior_entropy: 1, recall: 0.8283, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7074, scimark_benchmark: 935.6052, usercpu_time_millis: 120090, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 119870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8274, kappa: 0.6566, kb_relative_information_score: 537641.4642, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.835, predictive_accuracy: 0.8283, prior_entropy: 1, recall: 0.8283, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7074, scimark_benchmark: 936.1714, usercpu_time_millis: 135290, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 135050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8422, kappa: 0.6869, kb_relative_information_score: 664350.264, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8546, predictive_accuracy: 0.8434, prior_entropy: 1, recall: 0.8434, relative_absolute_error: 0.3291, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7341, scimark_benchmark: 935.6052, usercpu_time_millis: 1354000, usercpu_time_millis_testing: 1130, usercpu_time_millis_training: 1352870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8274, kappa: 0.6566, kb_relative_information_score: 537641.4642, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.835, predictive_accuracy: 0.8283, prior_entropy: 1, recall: 0.8283, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7074, scimark_benchmark: 926.5859, usercpu_time_millis: 146060, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 145820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8274, kappa: 0.6566, kb_relative_information_score: 537641.4642, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.835, predictive_accuracy: 0.8283, prior_entropy: 1, recall: 0.8283, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7074, scimark_benchmark: 894.7131, usercpu_time_millis: 140540, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 140300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8372, kappa: 0.6749, kb_relative_information_score: 580759.6262, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8397, predictive_accuracy: 0.8375, prior_entropy: 1, recall: 0.8375, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7013, scimark_benchmark: 941.9549, usercpu_time_millis: 53510, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 52810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8197, kappa: 0.645, kb_relative_information_score: 626654.0236, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8434, predictive_accuracy: 0.8225, prior_entropy: 1, recall: 0.8225, relative_absolute_error: 0.3664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.393, root_relative_squared_error: 0.7861, scimark_benchmark: 940.0055, usercpu_time_millis: 688030, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 687470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8091, kappa: 0.6245, kb_relative_information_score: 599140.4709, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8345, predictive_accuracy: 0.8123, prior_entropy: 1, recall: 0.8123, relative_absolute_error: 0.3959, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8076, scimark_benchmark: 926.5859, usercpu_time_millis: 353990, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 353670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.7833, kappa: 0.5804, kb_relative_information_score: 568438.8368, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8329, predictive_accuracy: 0.7902, prior_entropy: 1, recall: 0.7902, relative_absolute_error: 0.4243, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.418, root_relative_squared_error: 0.8361, scimark_benchmark: 941.9549, usercpu_time_millis: 151840, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 151640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, kappa: -0.0001, kb_relative_information_score: -80, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4143, scimark_benchmark: 941.9549, usercpu_time_millis: 2920, usercpu_time_millis_testing: 1280, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.8363, kappa: 0.6735, kb_relative_information_score: 599964.411, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8404, predictive_accuracy: 0.8368, prior_entropy: 1, recall: 0.8368, relative_absolute_error: 0.41, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7669, scimark_benchmark: 942.6192, usercpu_time_millis: 331140, usercpu_time_millis_testing: 3420, usercpu_time_millis_training: 327720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7834, kappa: 0.5805, kb_relative_information_score: 411983.7178, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8322, predictive_accuracy: 0.7903, prior_entropy: 1, recall: 0.7903, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7806, scimark_benchmark: 931.7994, usercpu_time_millis: 10330, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 10140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8339, kappa: 0.6689, kb_relative_information_score: 551402.7914, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8393, predictive_accuracy: 0.8345, prior_entropy: 1, recall: 0.8345, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7357, scimark_benchmark: 935.6052, usercpu_time_millis: 84330, usercpu_time_millis_testing: 1910, usercpu_time_millis_training: 82420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8358, kappa: 0.673, kb_relative_information_score: 412534.6044, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8425, predictive_accuracy: 0.8365, prior_entropy: 1, recall: 0.8365, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7272, scimark_benchmark: 922.9595, usercpu_time_millis: 667240, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 667010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8412, kappa: 0.6831, kb_relative_information_score: 556228.6344, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8444, predictive_accuracy: 0.8416, prior_entropy: 1, recall: 0.8416, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6851, scimark_benchmark: 935.8024, usercpu_time_millis: 574490, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 574280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8339, kappa: 0.6689, kb_relative_information_score: 551402.7914, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8393, predictive_accuracy: 0.8345, prior_entropy: 1, recall: 0.8345, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7357, scimark_benchmark: 921.2792, usercpu_time_millis: 102420, usercpu_time_millis_testing: 1880, usercpu_time_millis_training: 100540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.7383, kappa: 0.478, kb_relative_information_score: 470968, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.7414, predictive_accuracy: 0.739, prior_entropy: 1, recall: 0.739, relative_absolute_error: 0.522, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.0218, scimark_benchmark: 937.5996, usercpu_time_millis: 227098720, usercpu_time_millis_testing: 227096820, usercpu_time_millis_training: 1900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3332, kappa: -0.0005, kb_relative_information_score: -506, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.2499, predictive_accuracy: 0.4997, prior_entropy: 1, recall: 0.4997, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7073, root_relative_squared_error: 1.4146, scimark_benchmark: 917.9672, usercpu_time_millis: 20337270, usercpu_time_millis_testing: 4081470, usercpu_time_millis_training: 16255800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8339, kappa: 0.6689, kb_relative_information_score: 551402.7914, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8393, predictive_accuracy: 0.8345, prior_entropy: 1, recall: 0.8345, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7357, scimark_benchmark: 1340.9446, usercpu_time_millis: 111930, usercpu_time_millis_testing: 1470, usercpu_time_millis_training: 110460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.7383, kappa: 0.478, kb_relative_information_score: 470968, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.7414, predictive_accuracy: 0.739, prior_entropy: 1, recall: 0.739, relative_absolute_error: 0.522, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.0218, scimark_benchmark: 944.4621, usercpu_time_millis: 226977310, usercpu_time_millis_testing: 226975270, usercpu_time_millis_training: 2040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8358, kappa: 0.673, kb_relative_information_score: 412534.6044, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8425, predictive_accuracy: 0.8365, prior_entropy: 1, recall: 0.8365, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7272, scimark_benchmark: 1336.0954, usercpu_time_millis: 590210, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 590060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.7383, kappa: 0.478, kb_relative_information_score: 470968, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.7414, predictive_accuracy: 0.739, prior_entropy: 1, recall: 0.739, relative_absolute_error: 0.522, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.0218, scimark_benchmark: 940.0008, usercpu_time_millis: 237041650, usercpu_time_millis_testing: 237039660, usercpu_time_millis_training: 1990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8339, kappa: 0.6689, kb_relative_information_score: 551402.7914, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8393, predictive_accuracy: 0.8345, prior_entropy: 1, recall: 0.8345, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7357, scimark_benchmark: 1340.5125, usercpu_time_millis: 98060, usercpu_time_millis_testing: 1510, usercpu_time_millis_training: 96550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8546, kappa: 0.7103, kb_relative_information_score: 577234.7838, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8601, predictive_accuracy: 0.8551, prior_entropy: 1, recall: 0.8551, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6623, scimark_benchmark: 1353.5464, usercpu_time_millis: 57800, usercpu_time_millis_testing: 1370, usercpu_time_millis_training: 56430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.8262, kappa: 0.6535, kb_relative_information_score: 576917.2682, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8308, predictive_accuracy: 0.8268, prior_entropy: 1, recall: 0.8268, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.7849, scimark_benchmark: 1351.1238, usercpu_time_millis: 739700, usercpu_time_millis_testing: 22010, usercpu_time_millis_training: 717690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.8175, kappa: 0.635, kb_relative_information_score: 616021.1652, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.818, predictive_accuracy: 0.8175, prior_entropy: 1, recall: 0.8175, relative_absolute_error: 0.3773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.41, root_relative_squared_error: 0.82, scimark_benchmark: 1318.6467, usercpu_time_millis: 833180, usercpu_time_millis_testing: 77750, usercpu_time_millis_training: 755430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8412, kappa: 0.6831, kb_relative_information_score: 556228.6344, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8444, predictive_accuracy: 0.8416, prior_entropy: 1, recall: 0.8416, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6851, scimark_benchmark: 1322.3407, usercpu_time_millis: 597550, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 597390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.8262, kappa: 0.6535, kb_relative_information_score: 576917.2682, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8308, predictive_accuracy: 0.8268, prior_entropy: 1, recall: 0.8268, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.7849, scimark_benchmark: 1374.9737, usercpu_time_millis: 749800, usercpu_time_millis_testing: 21680, usercpu_time_millis_training: 728120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8358, kappa: 0.673, kb_relative_information_score: 412534.6044, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8425, predictive_accuracy: 0.8365, prior_entropy: 1, recall: 0.8365, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7272, scimark_benchmark: 1313.11, usercpu_time_millis: 520650, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 520500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3332, kappa: -0.0005, kb_relative_information_score: -506, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.2499, predictive_accuracy: 0.4997, prior_entropy: 1, recall: 0.4997, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7073, root_relative_squared_error: 1.4146, scimark_benchmark: 1326.8946, usercpu_time_millis: 18026880, usercpu_time_millis_testing: 3561190, usercpu_time_millis_training: 14465690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8703, kappa: 0.7415, kb_relative_information_score: 604206.5196, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8755, predictive_accuracy: 0.8708, prior_entropy: 1, recall: 0.8708, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.6318, scimark_benchmark: 1264.9916, usercpu_time_millis: 16008830, usercpu_time_millis_testing: 42770, usercpu_time_millis_training: 15966060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8339, kappa: 0.6689, kb_relative_information_score: 551402.7914, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8393, predictive_accuracy: 0.8345, prior_entropy: 1, recall: 0.8345, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7357, scimark_benchmark: 1347.993, usercpu_time_millis: 86200, usercpu_time_millis_testing: 1450, usercpu_time_millis_training: 84750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8677, kappa: 0.7362, kb_relative_information_score: 582090.7101, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8727, predictive_accuracy: 0.8681, prior_entropy: 1, recall: 0.8681, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.6382, scimark_benchmark: 918.0213, usercpu_time_millis: 8949560, usercpu_time_millis_testing: 101940, usercpu_time_millis_training: 8847620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.8641, kappa: 0.7293, kb_relative_information_score: 718552, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8704, predictive_accuracy: 0.8646, prior_entropy: 1, recall: 0.8646, relative_absolute_error: 0.2707, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7358, scimark_benchmark: 1309.4998, usercpu_time_millis: 13229050, usercpu_time_millis_testing: 4065430, usercpu_time_millis_training: 9163620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8358, kappa: 0.673, kb_relative_information_score: 412534.6044, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8425, predictive_accuracy: 0.8365, prior_entropy: 1, recall: 0.8365, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7272, scimark_benchmark: 1305.6106, usercpu_time_millis: 554360, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 554220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8677, kappa: 0.7362, kb_relative_information_score: 582090.7101, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8727, predictive_accuracy: 0.8681, prior_entropy: 1, recall: 0.8681, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.6382, scimark_benchmark: 912.7324, usercpu_time_millis: 8082610, usercpu_time_millis_testing: 99970, usercpu_time_millis_training: 7982640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8699, kappa: 0.7406, kb_relative_information_score: 604018.0817, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.875, predictive_accuracy: 0.8703, prior_entropy: 1, recall: 0.8703, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6328, scimark_benchmark: 1264.0609, usercpu_time_millis: 8391200, usercpu_time_millis_testing: 25340, usercpu_time_millis_training: 8365860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.8435, kappa: 0.6879, kb_relative_information_score: 613100.5742, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8477, predictive_accuracy: 0.8439, prior_entropy: 1, recall: 0.8439, relative_absolute_error: 0.3969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.376, root_relative_squared_error: 0.7521, scimark_benchmark: 1352.2099, usercpu_time_millis: 331790, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 331440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8677, kappa: 0.7362, kb_relative_information_score: 582090.7101, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8727, predictive_accuracy: 0.8681, prior_entropy: 1, recall: 0.8681, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.6382, scimark_benchmark: 1320.9366, usercpu_time_millis: 8341340, usercpu_time_millis_testing: 99430, usercpu_time_millis_training: 8241910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8339, kappa: 0.6689, kb_relative_information_score: 551402.7914, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8393, predictive_accuracy: 0.8345, prior_entropy: 1, recall: 0.8345, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7357, scimark_benchmark: 1355.2525, usercpu_time_millis: 92990, usercpu_time_millis_testing: 1490, usercpu_time_millis_training: 91500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.7384, kappa: 0.4781, kb_relative_information_score: 470962.5258, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.7415, predictive_accuracy: 0.7391, prior_entropy: 1, recall: 0.7391, relative_absolute_error: 0.522, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0216, scimark_benchmark: 1341.2341, usercpu_time_millis: 4350200, usercpu_time_millis_testing: 4350100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.821, kappa: 0.6451, kb_relative_information_score: 505472.491, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8342, predictive_accuracy: 0.8226, prior_entropy: 1, recall: 0.8226, relative_absolute_error: 0.5177, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7163, scimark_benchmark: 1340.1351, usercpu_time_millis: 618960, usercpu_time_millis_testing: 1440, usercpu_time_millis_training: 617520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8677, kappa: 0.7362, kb_relative_information_score: 582090.7101, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8727, predictive_accuracy: 0.8681, prior_entropy: 1, recall: 0.8681, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.6382, scimark_benchmark: 1312.0581, usercpu_time_millis: 9503730, usercpu_time_millis_testing: 106420, usercpu_time_millis_training: 9397310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8676, kappa: 0.7361, kb_relative_information_score: 582035.7952, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8726, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6386, scimark_benchmark: 1352.2099, usercpu_time_millis: 4372310, usercpu_time_millis_testing: 47860, usercpu_time_millis_training: 4324450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8358, kappa: 0.673, kb_relative_information_score: 412534.6044, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8425, predictive_accuracy: 0.8365, prior_entropy: 1, recall: 0.8365, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7272, scimark_benchmark: 1064.8317, usercpu_time_millis: 567150, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 567010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.8248, kappa: 0.6533, kb_relative_information_score: 643547.8332, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8409, predictive_accuracy: 0.8267, prior_entropy: 1, recall: 0.8267, relative_absolute_error: 0.3469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8259, scimark_benchmark: 1349.7981, usercpu_time_millis: 5621360, usercpu_time_millis_testing: 9850, usercpu_time_millis_training: 5611510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8676, kappa: 0.7361, kb_relative_information_score: 582035.7952, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8726, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6386, scimark_benchmark: 1328.941, usercpu_time_millis: 4883220, usercpu_time_millis_testing: 47730, usercpu_time_millis_training: 4835490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8649, kappa: 0.7304, kb_relative_information_score: 610687.9754, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8688, predictive_accuracy: 0.8652, prior_entropy: 1, recall: 0.8652, relative_absolute_error: 0.407, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6408, scimark_benchmark: 1064.8317, usercpu_time_millis: 2773360, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 2773220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8339, kappa: 0.6689, kb_relative_information_score: 551402.7914, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8393, predictive_accuracy: 0.8345, prior_entropy: 1, recall: 0.8345, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7357, scimark_benchmark: 1350.2369, usercpu_time_millis: 92460, usercpu_time_millis_testing: 1470, usercpu_time_millis_training: 90990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.8641, kappa: 0.7293, kb_relative_information_score: 718552, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8704, predictive_accuracy: 0.8646, prior_entropy: 1, recall: 0.8646, relative_absolute_error: 0.2707, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7358, scimark_benchmark: 1123.855, usercpu_time_millis: 11016300, usercpu_time_millis_testing: 3671860, usercpu_time_millis_training: 7344440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8358, kappa: 0.673, kb_relative_information_score: 412534.6044, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8425, predictive_accuracy: 0.8365, prior_entropy: 1, recall: 0.8365, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7272, scimark_benchmark: 1309.4998, usercpu_time_millis: 595300, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 595140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8699, kappa: 0.7406, kb_relative_information_score: 604018.0817, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.875, predictive_accuracy: 0.8703, prior_entropy: 1, recall: 0.8703, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6328, scimark_benchmark: 1319.3406, usercpu_time_millis: 7471070, usercpu_time_millis_testing: 23910, usercpu_time_millis_training: 7447160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8412, kappa: 0.6831, kb_relative_information_score: 556228.6344, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8444, predictive_accuracy: 0.8416, prior_entropy: 1, recall: 0.8416, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6851, scimark_benchmark: 1342.1678, usercpu_time_millis: 529920, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 529740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8497, kappa: 0.7002, kb_relative_information_score: 580153.7356, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8542, predictive_accuracy: 0.8501, prior_entropy: 1, recall: 0.8501, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6716, scimark_benchmark: 1320.9026, usercpu_time_millis: 321990, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 321860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8624, kappa: 0.7257, kb_relative_information_score: 607852.4684, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8681, predictive_accuracy: 0.8629, prior_entropy: 1, recall: 0.8629, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.6447, scimark_benchmark: 1337.5749, usercpu_time_millis: 2739770, usercpu_time_millis_testing: 970, usercpu_time_millis_training: 2738800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8672, kappa: 0.7352, kb_relative_information_score: 581685.8634, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8721, predictive_accuracy: 0.8676, prior_entropy: 1, recall: 0.8676, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6394, scimark_benchmark: 1348.7888, usercpu_time_millis: 2128340, usercpu_time_millis_testing: 22250, usercpu_time_millis_training: 2106090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8358, kappa: 0.673, kb_relative_information_score: 412534.6044, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8425, predictive_accuracy: 0.8365, prior_entropy: 1, recall: 0.8365, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7272, scimark_benchmark: 1342.4239, usercpu_time_millis: 661960, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 661790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8672, kappa: 0.7352, kb_relative_information_score: 581685.8634, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8721, predictive_accuracy: 0.8676, prior_entropy: 1, recall: 0.8676, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6394, scimark_benchmark: 1324.5988, usercpu_time_millis: 1924020, usercpu_time_millis_testing: 26350, usercpu_time_millis_training: 1897670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8691, kappa: 0.739, kb_relative_information_score: 603702.8963, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8741, predictive_accuracy: 0.8695, prior_entropy: 1, recall: 0.8695, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6348, scimark_benchmark: 1307.8606, usercpu_time_millis: 3726990, usercpu_time_millis_testing: 11650, usercpu_time_millis_training: 3715340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8672, kappa: 0.7352, kb_relative_information_score: 581685.8634, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8721, predictive_accuracy: 0.8676, prior_entropy: 1, recall: 0.8676, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6394, scimark_benchmark: 1321.1875, usercpu_time_millis: 2215100, usercpu_time_millis_testing: 24620, usercpu_time_millis_training: 2190480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.8629, kappa: 0.7264, kb_relative_information_score: 605667.0018, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8669, predictive_accuracy: 0.8632, prior_entropy: 1, recall: 0.8632, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6458, scimark_benchmark: 1327.3684, usercpu_time_millis: 1336520, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1336390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8412, kappa: 0.6831, kb_relative_information_score: 556228.6344, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8444, predictive_accuracy: 0.8416, prior_entropy: 1, recall: 0.8416, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6851, scimark_benchmark: 885.0921, usercpu_time_millis: 659820, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 659600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8358, kappa: 0.673, kb_relative_information_score: 412534.6044, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8425, predictive_accuracy: 0.8365, prior_entropy: 1, recall: 0.8365, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7272, scimark_benchmark: 854.5188, usercpu_time_millis: 642360, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 642130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8584, kappa: 0.7176, kb_relative_information_score: 587638.8246, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8636, predictive_accuracy: 0.8588, prior_entropy: 1, recall: 0.8588, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.341, root_relative_squared_error: 0.6821, scimark_benchmark: 939.9176, usercpu_time_millis: 4259770, usercpu_time_millis_testing: 970, usercpu_time_millis_training: 4258800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.8248, kappa: 0.6533, kb_relative_information_score: 643558.7651, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8409, predictive_accuracy: 0.8267, prior_entropy: 1, recall: 0.8267, relative_absolute_error: 0.3469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8259, scimark_benchmark: 1348.7888, usercpu_time_millis: 60920, usercpu_time_millis_testing: 3100, usercpu_time_millis_training: 57820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8339, kappa: 0.6689, kb_relative_information_score: 551402.7914, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8393, predictive_accuracy: 0.8345, prior_entropy: 1, recall: 0.8345, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7357, scimark_benchmark: 1314.9535, usercpu_time_millis: 84060, usercpu_time_millis_testing: 1450, usercpu_time_millis_training: 82610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8339, kappa: 0.6689, kb_relative_information_score: 551402.7914, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8393, predictive_accuracy: 0.8345, prior_entropy: 1, recall: 0.8345, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7357, scimark_benchmark: 1319.7801, usercpu_time_millis: 83390, usercpu_time_millis_testing: 1400, usercpu_time_millis_training: 81990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.8537, kappa: 0.7087, kb_relative_information_score: 698264, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8605, predictive_accuracy: 0.8543, prior_entropy: 1, recall: 0.8543, relative_absolute_error: 0.2913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7633, scimark_benchmark: 912.5006, usercpu_time_millis: 141270, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 140830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8376, kappa: 0.6783, kb_relative_information_score: 668248.4688, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8532, predictive_accuracy: 0.8392, prior_entropy: 1, recall: 0.8392, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.7916, scimark_benchmark: 912.7324, usercpu_time_millis: 105560, usercpu_time_millis_testing: 37150, usercpu_time_millis_training: 68410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8641, kappa: 0.7288, kb_relative_information_score: 601031.4563, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8684, predictive_accuracy: 0.8644, prior_entropy: 1, recall: 0.8644, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6474, scimark_benchmark: 1343.4596, usercpu_time_millis: 904340, usercpu_time_millis_testing: 2250, usercpu_time_millis_training: 902090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8576, kappa: 0.7159, kb_relative_information_score: 594601.3731, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8616, predictive_accuracy: 0.8579, prior_entropy: 1, recall: 0.8579, relative_absolute_error: 0.4236, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.6562, scimark_benchmark: 855.8522, usercpu_time_millis: 659510, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 659380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.3377, kappa: 0.0039, kb_relative_information_score: 3838, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.7492, predictive_accuracy: 0.5019, prior_entropy: 1, recall: 0.5019, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7057, root_relative_squared_error: 1.4115, scimark_benchmark: 1311.1837, usercpu_time_millis: 71950, usercpu_time_millis_testing: 1890, usercpu_time_millis_training: 70060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, kappa: -0.0001, kb_relative_information_score: -0.0014, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1313.6093, usercpu_time_millis: 1410, usercpu_time_millis_testing: 1340, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.8398, kappa: 0.6806, kb_relative_information_score: 557511.2678, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8447, predictive_accuracy: 0.8403, prior_entropy: 1, recall: 0.8403, relative_absolute_error: 0.461, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6904, scimark_benchmark: 909.1698, usercpu_time_millis: 201040, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 200880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.7825, kappa: 0.579, kb_relative_information_score: 411275.3927, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8326, predictive_accuracy: 0.7895, prior_entropy: 1, recall: 0.7895, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7841, scimark_benchmark: 1300.7817, usercpu_time_millis: 2576410, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 2576280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8339, kappa: 0.6689, kb_relative_information_score: 551402.7914, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8393, predictive_accuracy: 0.8345, prior_entropy: 1, recall: 0.8345, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7357, scimark_benchmark: 1339.7143, usercpu_time_millis: 89580, usercpu_time_millis_testing: 1470, usercpu_time_millis_training: 88110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.8017, kappa: 0.6112, kb_relative_information_score: 602168.323, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8316, predictive_accuracy: 0.8056, prior_entropy: 1, recall: 0.8056, relative_absolute_error: 0.3888, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.8805, scimark_benchmark: 1345.1228, usercpu_time_millis: 15350, usercpu_time_millis_testing: 5470, usercpu_time_millis_training: 9880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.8484, kappa: 0.6977, kb_relative_information_score: 687456, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8536, predictive_accuracy: 0.8489, prior_entropy: 1, recall: 0.8489, relative_absolute_error: 0.3023, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7775, scimark_benchmark: 1319.9329, usercpu_time_millis: 62800, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 62330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8578, kappa: 0.7166, kb_relative_information_score: 581769.4336, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8635, predictive_accuracy: 0.8583, prior_entropy: 1, recall: 0.8583, relative_absolute_error: 0.4376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6555, scimark_benchmark: 1324.8395, usercpu_time_millis: 46340, usercpu_time_millis_testing: 870, usercpu_time_millis_training: 45470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8412, kappa: 0.6831, kb_relative_information_score: 556228.6344, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8444, predictive_accuracy: 0.8416, prior_entropy: 1, recall: 0.8416, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6851, scimark_benchmark: 1419.2433, usercpu_time_millis: 497900, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 497740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.86, kappa: 0.7207, kb_relative_information_score: 594554.6479, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8641, predictive_accuracy: 0.8603, prior_entropy: 1, recall: 0.8603, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6512, scimark_benchmark: 1313.9994, usercpu_time_millis: 2405370, usercpu_time_millis_testing: 1190, usercpu_time_millis_training: 2404180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8675, kappa: 0.7358, kb_relative_information_score: 602811.4773, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8723, predictive_accuracy: 0.8679, prior_entropy: 1, recall: 0.8679, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6391, scimark_benchmark: 933.3136, usercpu_time_millis: 1712610, usercpu_time_millis_testing: 5130, usercpu_time_millis_training: 1707480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7828, kappa: 0.5656, kb_relative_information_score: 557146, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.7828, predictive_accuracy: 0.7828, prior_entropy: 1, recall: 0.7828, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9321, scimark_benchmark: 1333.1945, usercpu_time_millis: 15970, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 15560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.7809, kappa: 0.5619, kb_relative_information_score: 519198.3844, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.7811, predictive_accuracy: 0.781, prior_entropy: 1, recall: 0.781, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9036, scimark_benchmark: 932.0242, usercpu_time_millis: 9890, usercpu_time_millis_testing: 1150, usercpu_time_millis_training: 8740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8662, kappa: 0.7333, kb_relative_information_score: 581522.0208, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8711, predictive_accuracy: 0.8666, prior_entropy: 1, recall: 0.8666, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.641, scimark_benchmark: 938.9967, usercpu_time_millis: 1145900, usercpu_time_millis_testing: 12580, usercpu_time_millis_training: 1133320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.8018, kappa: 0.6113, kb_relative_information_score: 602236.276, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8316, predictive_accuracy: 0.8056, prior_entropy: 1, recall: 0.8056, relative_absolute_error: 0.3888, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8805, scimark_benchmark: 1301.9956, usercpu_time_millis: 20150, usercpu_time_millis_testing: 6010, usercpu_time_millis_training: 14140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8644, kappa: 0.7296, kb_relative_information_score: 580729.0572, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.5, number_of_instances: 985280, precision: 0.8691, predictive_accuracy: 0.8648, prior_entropy: 1, recall: 0.8648, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.6442, scimark_benchmark: 889.3151, usercpu_time_millis: 541470, usercpu_time_millis_testing: 6770, usercpu_time_millis_training: 534700,

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