Task
Supervised Classification on chscase_census6

Supervised Classification on chscase_census6

Task 4468 Supervised Classification chscase_census6 232 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

232 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: 0.0119, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4615, f_measure: 0.4918, kappa: -0.0366, kb_relative_information_score: -169.481, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4927, predictive_accuracy: 0.5355, prior_entropy: 0.978, recall: 0.5355, relative_absolute_error: 1.028, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5156, root_relative_squared_error: 1.0473, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4605, f_measure: 0.4842, kappa: -0.0452, kb_relative_information_score: -163.9893, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4856, predictive_accuracy: 0.535, prior_entropy: 0.978, recall: 0.535, relative_absolute_error: 1.0305, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5347, root_relative_squared_error: 1.0862, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.4507, kappa: -0.0269, kb_relative_information_score: 376.4755, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4683, predictive_accuracy: 0.5668, prior_entropy: 0.978, recall: 0.5668, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6582, root_relative_squared_error: 1.3371, scimark_benchmark: 904.0772, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4842, f_measure: 0.508, kappa: -0.0157, kb_relative_information_score: -56.4594, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.5066, predictive_accuracy: 0.5365, prior_entropy: 0.978, recall: 0.5365, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5141, root_relative_squared_error: 1.0442, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5087, f_measure: 0.506, kappa: 0.041, kb_relative_information_score: 33.4142, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.5567, predictive_accuracy: 0.5873, prior_entropy: 0.978, recall: 0.5873, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0115, scimark_benchmark: 932.2692, usercpu_time_millis: 1430, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -1.0354, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.4912, kappa: -0.0482, kb_relative_information_score: -88.0619, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.488, predictive_accuracy: 0.5235, prior_entropy: 0.978, recall: 0.5235, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0439, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.4507, kappa: -0.0269, kb_relative_information_score: 376.4755, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4683, predictive_accuracy: 0.5668, prior_entropy: 0.978, recall: 0.5668, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6582, root_relative_squared_error: 1.3371, scimark_benchmark: 938.5498, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.4507, kappa: -0.0269, kb_relative_information_score: 376.4755, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4683, predictive_accuracy: 0.5668, prior_entropy: 0.978, recall: 0.5668, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6582, root_relative_squared_error: 1.3371, scimark_benchmark: 974.2014, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.4912, kappa: -0.0482, kb_relative_information_score: -88.0619, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.488, predictive_accuracy: 0.5235, prior_entropy: 0.978, recall: 0.5235, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0439, scimark_benchmark: 943.1009, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: 0.0119, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4615, f_measure: 0.4918, kappa: -0.0366, kb_relative_information_score: -169.481, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4927, predictive_accuracy: 0.5355, prior_entropy: 0.978, recall: 0.5355, relative_absolute_error: 1.028, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5156, root_relative_squared_error: 1.0473, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4605, f_measure: 0.4842, kappa: -0.0452, kb_relative_information_score: -163.9893, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4856, predictive_accuracy: 0.535, prior_entropy: 0.978, recall: 0.535, relative_absolute_error: 1.0305, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5347, root_relative_squared_error: 1.0862, scimark_benchmark: 940.1541, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.4507, kappa: -0.0269, kb_relative_information_score: 376.4755, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4683, predictive_accuracy: 0.5668, prior_entropy: 0.978, recall: 0.5668, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6582, root_relative_squared_error: 1.3371, scimark_benchmark: 943.6618, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.4507, kappa: -0.0269, kb_relative_information_score: 376.4755, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4683, predictive_accuracy: 0.5668, prior_entropy: 0.978, recall: 0.5668, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6582, root_relative_squared_error: 1.3371, scimark_benchmark: 936.2574, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4842, f_measure: 0.508, kappa: -0.0157, kb_relative_information_score: -56.4594, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.5066, predictive_accuracy: 0.5365, prior_entropy: 0.978, recall: 0.5365, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5141, root_relative_squared_error: 1.0442, scimark_benchmark: 903.2737, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5087, f_measure: 0.506, kappa: 0.041, kb_relative_information_score: 33.4103, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.5567, predictive_accuracy: 0.5873, prior_entropy: 0.978, recall: 0.5873, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0115, scimark_benchmark: 919.3788, usercpu_time_millis: 830, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -1.0354, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.4912, kappa: -0.0482, kb_relative_information_score: -88.0619, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.488, predictive_accuracy: 0.5235, prior_entropy: 0.978, recall: 0.5235, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0439, scimark_benchmark: 936.9595, usercpu_time_millis: 180, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4687, f_measure: 0.4348, kb_relative_information_score: -0.9141, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.0002, scimark_benchmark: 945.6228, usercpu_time_millis: 620, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4768, f_measure: 0.4348, kb_relative_information_score: -0.8313, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.0002, scimark_benchmark: 934.695, usercpu_time_millis: 320, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.477, f_measure: 0.4348, kb_relative_information_score: -1.5766, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.0003, scimark_benchmark: 935.3212, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4755, f_measure: 0.4348, kb_relative_information_score: -1.4453, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.0003, scimark_benchmark: 921.2615, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, f_measure: 0.4348, kb_relative_information_score: -0.4306, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.0002, scimark_benchmark: 930.0399, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4192, f_measure: 0.4703, kappa: -0.0865, kb_relative_information_score: -228.6258, mean_absolute_error: 0.5057, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4643, predictive_accuracy: 0.5095, prior_entropy: 0.978, recall: 0.5095, relative_absolute_error: 1.0432, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5401, root_relative_squared_error: 1.0972, scimark_benchmark: 889.4922, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4192, f_measure: 0.4703, kappa: -0.0865, kb_relative_information_score: -228.6258, mean_absolute_error: 0.5057, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4643, predictive_accuracy: 0.5095, prior_entropy: 0.978, recall: 0.5095, relative_absolute_error: 1.0432, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5401, root_relative_squared_error: 1.0972, scimark_benchmark: 938.3115, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4181, f_measure: 0.4668, kappa: -0.0934, kb_relative_information_score: -232.3447, mean_absolute_error: 0.506, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4602, predictive_accuracy: 0.5065, prior_entropy: 0.978, recall: 0.5065, relative_absolute_error: 1.0439, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5403, root_relative_squared_error: 1.0976, scimark_benchmark: 894.7131, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4169, f_measure: 0.4642, kappa: -0.0982, kb_relative_information_score: -229.2652, mean_absolute_error: 0.5057, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4571, predictive_accuracy: 0.5048, prior_entropy: 0.978, recall: 0.5048, relative_absolute_error: 1.0432, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5376, root_relative_squared_error: 1.0921, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4247, f_measure: 0.4684, kappa: -0.0781, kb_relative_information_score: -187.3553, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4644, predictive_accuracy: 0.52, prior_entropy: 0.978, recall: 0.52, relative_absolute_error: 1.035, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.0728, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -1.0354, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4388, f_measure: 0.465, kappa: -0.0503, kb_relative_information_score: 61.4267, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4705, predictive_accuracy: 0.5448, prior_entropy: 0.978, recall: 0.5448, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5824, root_relative_squared_error: 1.1831, scimark_benchmark: 926.5859, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4433, f_measure: 0.4593, kappa: -0.0504, kb_relative_information_score: 83.7617, mean_absolute_error: 0.4716, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4649, predictive_accuracy: 0.5478, prior_entropy: 0.978, recall: 0.5478, relative_absolute_error: 0.9729, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5757, root_relative_squared_error: 1.1694, scimark_benchmark: 929.0296, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4422, f_measure: 0.4485, kappa: -0.048, kb_relative_information_score: 127.8165, mean_absolute_error: 0.4673, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4513, predictive_accuracy: 0.5543, prior_entropy: 0.978, recall: 0.5543, relative_absolute_error: 0.9639, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5694, root_relative_squared_error: 1.1566, scimark_benchmark: 935.6052, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4451, f_measure: 0.4531, kappa: -0.0279, kb_relative_information_score: 149.0944, mean_absolute_error: 0.4658, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4709, predictive_accuracy: 0.5653, prior_entropy: 0.978, recall: 0.5653, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5606, root_relative_squared_error: 1.1388, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4469, f_measure: 0.4492, kappa: -0.0205, kb_relative_information_score: 194.0371, mean_absolute_error: 0.4609, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4722, predictive_accuracy: 0.5713, prior_entropy: 0.978, recall: 0.5713, relative_absolute_error: 0.9507, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5575, root_relative_squared_error: 1.1324, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4348, kb_relative_information_score: 549.9767, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.3047, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: 0.0119, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 906.0884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4637, f_measure: 0.4478, kappa: -0.015, kb_relative_information_score: -141.2975, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4769, predictive_accuracy: 0.575, prior_entropy: 0.978, recall: 0.575, relative_absolute_error: 1.0219, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4963, root_relative_squared_error: 1.0081, scimark_benchmark: 938.3115, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.487, f_measure: 0.4747, kappa: -0.0096, kb_relative_information_score: -35.5202, mean_absolute_error: 0.4865, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.5044, predictive_accuracy: 0.568, prior_entropy: 0.978, recall: 0.568, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0114, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: 0.0119, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 923.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4615, f_measure: 0.4918, kappa: -0.0366, kb_relative_information_score: -169.481, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4927, predictive_accuracy: 0.5355, prior_entropy: 0.978, recall: 0.5355, relative_absolute_error: 1.028, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5156, root_relative_squared_error: 1.0473, scimark_benchmark: 923.509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4605, f_measure: 0.4842, kappa: -0.0452, kb_relative_information_score: -163.9893, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4856, predictive_accuracy: 0.535, prior_entropy: 0.978, recall: 0.535, relative_absolute_error: 1.0305, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5347, root_relative_squared_error: 1.0862, scimark_benchmark: 930.0829, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.4507, kappa: -0.0269, kb_relative_information_score: 376.4755, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4683, predictive_accuracy: 0.5668, prior_entropy: 0.978, recall: 0.5668, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6582, root_relative_squared_error: 1.3371, scimark_benchmark: 949.7766, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.4507, kappa: -0.0269, kb_relative_information_score: 376.4755, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4683, predictive_accuracy: 0.5668, prior_entropy: 0.978, recall: 0.5668, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6582, root_relative_squared_error: 1.3371, scimark_benchmark: 928.8135, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4842, f_measure: 0.508, kappa: -0.0157, kb_relative_information_score: -56.4594, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.5066, predictive_accuracy: 0.5365, prior_entropy: 0.978, recall: 0.5365, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5141, root_relative_squared_error: 1.0442, scimark_benchmark: 922.5036, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5087, f_measure: 0.506, kappa: 0.041, kb_relative_information_score: 33.4142, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.5567, predictive_accuracy: 0.5873, prior_entropy: 0.978, recall: 0.5873, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0115, scimark_benchmark: 922.5036, usercpu_time_millis: 710, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 879.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -1.0354, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 910.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.4912, kappa: -0.0482, kb_relative_information_score: -88.0619, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.488, predictive_accuracy: 0.5235, prior_entropy: 0.978, recall: 0.5235, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0439, scimark_benchmark: 949.7766, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: 0.0119, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 915.9028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5024, f_measure: 0.4832, kappa: -0.0064, kb_relative_information_score: -27.2492, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.5091, predictive_accuracy: 0.566, prior_entropy: 0.978, recall: 0.566, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0121, scimark_benchmark: 946.6409, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4615, f_measure: 0.4918, kappa: -0.0366, kb_relative_information_score: -169.481, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4927, predictive_accuracy: 0.5355, prior_entropy: 0.978, recall: 0.5355, relative_absolute_error: 1.028, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5156, root_relative_squared_error: 1.0473, scimark_benchmark: 929.0887, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.4507, kappa: -0.0269, kb_relative_information_score: 376.4755, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4683, predictive_accuracy: 0.5668, prior_entropy: 0.978, recall: 0.5668, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6582, root_relative_squared_error: 1.3371, scimark_benchmark: 1331.4944, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.4507, kappa: -0.0269, kb_relative_information_score: 376.4755, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4683, predictive_accuracy: 0.5668, prior_entropy: 0.978, recall: 0.5668, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6582, root_relative_squared_error: 1.3371, scimark_benchmark: 1314.9949, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.4912, kappa: -0.0482, kb_relative_information_score: -88.0619, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.488, predictive_accuracy: 0.5235, prior_entropy: 0.978, recall: 0.5235, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0439, scimark_benchmark: 1318.6467, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.4507, kappa: -0.0269, kb_relative_information_score: 376.4755, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4683, predictive_accuracy: 0.5668, prior_entropy: 0.978, recall: 0.5668, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6582, root_relative_squared_error: 1.3371, scimark_benchmark: 1325.7874, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1325.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4842, f_measure: 0.508, kappa: -0.0157, kb_relative_information_score: -56.4594, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.5066, predictive_accuracy: 0.5365, prior_entropy: 0.978, recall: 0.5365, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5141, root_relative_squared_error: 1.0442, scimark_benchmark: 1353.0836, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: 0.0119, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.4507, kappa: -0.0269, kb_relative_information_score: 376.4755, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4683, predictive_accuracy: 0.5668, prior_entropy: 0.978, recall: 0.5668, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6582, root_relative_squared_error: 1.3371, scimark_benchmark: 1303.6861, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.4507, kappa: -0.0269, kb_relative_information_score: 376.4755, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4683, predictive_accuracy: 0.5668, prior_entropy: 0.978, recall: 0.5668, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6582, root_relative_squared_error: 1.3371, scimark_benchmark: 1316.3384, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: 0.0119, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.4507, kappa: -0.0269, kb_relative_information_score: 376.4755, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4683, predictive_accuracy: 0.5668, prior_entropy: 0.978, recall: 0.5668, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6582, root_relative_squared_error: 1.3371, scimark_benchmark: 1309.0674, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.4507, kappa: -0.0269, kb_relative_information_score: 376.4755, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4683, predictive_accuracy: 0.5668, prior_entropy: 0.978, recall: 0.5668, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6582, root_relative_squared_error: 1.3371, scimark_benchmark: 1324.8408, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: 0.0119, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.4507, kappa: -0.0269, kb_relative_information_score: 376.4755, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.4683, predictive_accuracy: 0.5668, prior_entropy: 0.978, recall: 0.5668, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6582, root_relative_squared_error: 1.3371, scimark_benchmark: 1338.6772, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1347.1763, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5087, f_measure: 0.506, kappa: 0.041, kb_relative_information_score: 33.4103, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.5567, predictive_accuracy: 0.5873, prior_entropy: 0.978, recall: 0.5873, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0115, scimark_benchmark: 1313.9976, usercpu_time_millis: 670, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1331.4379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.4912, kappa: -0.0482, kb_relative_information_score: -88.0619, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.488, predictive_accuracy: 0.5235, prior_entropy: 0.978, recall: 0.5235, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0439, scimark_benchmark: 1338.1299, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4842, f_measure: 0.508, kappa: -0.0157, kb_relative_information_score: -56.4594, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.5066, predictive_accuracy: 0.5365, prior_entropy: 0.978, recall: 0.5365, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5141, root_relative_squared_error: 1.0442, scimark_benchmark: 1342.2845, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.5122, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 4000, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1332.9478,

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