Task
Supervised Classification on sleuth_ex2016

Supervised Classification on sleuth_ex2016

Task 4431 Supervised Classification sleuth_ex2016 227 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

227 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6742, kappa: 0.3485, kb_relative_information_score: 243.8381, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6768, predictive_accuracy: 0.6759, prior_entropy: 0.9992, recall: 0.6759, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9658, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.6663, kappa: 0.3316, kb_relative_information_score: 246.7474, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6665, predictive_accuracy: 0.6667, prior_entropy: 0.9992, recall: 0.6667, relative_absolute_error: 0.7316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9164, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.631, kappa: 0.2612, kb_relative_information_score: 215.1621, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6311, predictive_accuracy: 0.631, prior_entropy: 0.9992, recall: 0.631, relative_absolute_error: 0.7584, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5272, root_relative_squared_error: 1.055, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6838, kappa: 0.3752, kb_relative_information_score: 331.0842, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7024, predictive_accuracy: 0.6908, prior_entropy: 0.9992, recall: 0.6908, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5561, root_relative_squared_error: 1.1128, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6838, kappa: 0.3752, kb_relative_information_score: 331.0842, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7024, predictive_accuracy: 0.6908, prior_entropy: 0.9992, recall: 0.6908, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5561, root_relative_squared_error: 1.1128, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7079, kappa: 0.4148, kb_relative_information_score: 250.2962, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.708, prior_entropy: 0.9992, recall: 0.708, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8686, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.686, kappa: 0.3711, kb_relative_information_score: 267.1272, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6861, predictive_accuracy: 0.6862, prior_entropy: 0.9992, recall: 0.6862, relative_absolute_error: 0.7085, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.892, scimark_benchmark: 926.576, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.622, kappa: 0.2432, kb_relative_information_score: 193.6222, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6227, predictive_accuracy: 0.623, prior_entropy: 0.9992, recall: 0.623, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5211, root_relative_squared_error: 1.0428, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6838, kappa: 0.3752, kb_relative_information_score: 331.0842, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7024, predictive_accuracy: 0.6908, prior_entropy: 0.9992, recall: 0.6908, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5561, root_relative_squared_error: 1.1128, scimark_benchmark: 937.5117, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6838, kappa: 0.3752, kb_relative_information_score: 331.0842, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7024, predictive_accuracy: 0.6908, prior_entropy: 0.9992, recall: 0.6908, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5561, root_relative_squared_error: 1.1128, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.6786, kappa: 0.3575, kb_relative_information_score: 268.0183, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6818, predictive_accuracy: 0.6805, prior_entropy: 0.9992, recall: 0.6805, relative_absolute_error: 0.7084, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.867, scimark_benchmark: 943.1009, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6742, kappa: 0.3485, kb_relative_information_score: 243.8381, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6768, predictive_accuracy: 0.6759, prior_entropy: 0.9992, recall: 0.6759, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9658, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.6663, kappa: 0.3316, kb_relative_information_score: 246.7474, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6665, predictive_accuracy: 0.6667, prior_entropy: 0.9992, recall: 0.6667, relative_absolute_error: 0.7316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9164, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.631, kappa: 0.2612, kb_relative_information_score: 215.1621, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6311, predictive_accuracy: 0.631, prior_entropy: 0.9992, recall: 0.631, relative_absolute_error: 0.7584, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5272, root_relative_squared_error: 1.055, scimark_benchmark: 936.2574, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6838, kappa: 0.3752, kb_relative_information_score: 331.0842, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7024, predictive_accuracy: 0.6908, prior_entropy: 0.9992, recall: 0.6908, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5561, root_relative_squared_error: 1.1128, scimark_benchmark: 926.5462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.702, kappa: 0.4032, kb_relative_information_score: 327.3436, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7022, predictive_accuracy: 0.7023, prior_entropy: 0.9992, recall: 0.7023, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9668, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7079, kappa: 0.4148, kb_relative_information_score: 250.2962, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.708, prior_entropy: 0.9992, recall: 0.708, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8686, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.686, kappa: 0.3711, kb_relative_information_score: 267.1272, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6861, predictive_accuracy: 0.6862, prior_entropy: 0.9992, recall: 0.6862, relative_absolute_error: 0.7085, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.892, scimark_benchmark: 919.3788, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.622, kappa: 0.2432, kb_relative_information_score: 193.6222, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6227, predictive_accuracy: 0.623, prior_entropy: 0.9992, recall: 0.623, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5211, root_relative_squared_error: 1.0428, scimark_benchmark: 730.6551, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.6786, kappa: 0.3575, kb_relative_information_score: 268.0183, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6818, predictive_accuracy: 0.6805, prior_entropy: 0.9992, recall: 0.6805, relative_absolute_error: 0.7084, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.867, scimark_benchmark: 945.6228, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.6784, kappa: 0.3573, kb_relative_information_score: 235.2924, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6821, predictive_accuracy: 0.6805, prior_entropy: 0.9992, recall: 0.6805, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.8789, scimark_benchmark: 901.4991, usercpu_time_millis: 530, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7645, f_measure: 0.6805, kappa: 0.3617, kb_relative_information_score: 237.851, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6848, predictive_accuracy: 0.6828, prior_entropy: 0.9992, recall: 0.6828, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8783, scimark_benchmark: 906.5979, usercpu_time_millis: 280, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.6773, kappa: 0.355, kb_relative_information_score: 235.0213, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6808, predictive_accuracy: 0.6793, prior_entropy: 0.9992, recall: 0.6793, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8837, scimark_benchmark: 921.466, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.6726, kappa: 0.3457, kb_relative_information_score: 231.322, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6763, predictive_accuracy: 0.6747, prior_entropy: 0.9992, recall: 0.6747, relative_absolute_error: 0.7544, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.8902, scimark_benchmark: 931.6751, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.6819, kappa: 0.3643, kb_relative_information_score: 238.2485, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6855, predictive_accuracy: 0.6839, prior_entropy: 0.9992, recall: 0.6839, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.8939, scimark_benchmark: 914.3583, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7095, kappa: 0.4229, kb_relative_information_score: 327.7719, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7164, predictive_accuracy: 0.7103, prior_entropy: 0.9992, recall: 0.7103, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.8956, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7095, kappa: 0.4229, kb_relative_information_score: 327.7719, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7164, predictive_accuracy: 0.7103, prior_entropy: 0.9992, recall: 0.7103, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.8956, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7095, kappa: 0.4229, kb_relative_information_score: 327.7719, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7164, predictive_accuracy: 0.7103, prior_entropy: 0.9992, recall: 0.7103, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.8956, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7095, kappa: 0.4229, kb_relative_information_score: 327.7719, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7164, predictive_accuracy: 0.7103, prior_entropy: 0.9992, recall: 0.7103, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.8956, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7095, kappa: 0.4229, kb_relative_information_score: 327.7719, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7164, predictive_accuracy: 0.7103, prior_entropy: 0.9992, recall: 0.7103, relative_absolute_error: 0.6344, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.8956, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.454, f_measure: 0.3527, kb_relative_information_score: -1.0993, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.2675, predictive_accuracy: 0.5172, prior_entropy: 0.9992, recall: 0.5172, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0009, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.6849, kappa: 0.3689, kb_relative_information_score: 313.9565, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6849, predictive_accuracy: 0.6851, prior_entropy: 0.9992, recall: 0.6851, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5372, root_relative_squared_error: 1.075, scimark_benchmark: 936.1714, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.7023, kappa: 0.4037, kb_relative_information_score: 349.0802, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7022, predictive_accuracy: 0.7023, prior_entropy: 0.9992, recall: 0.7023, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5122, root_relative_squared_error: 1.0251, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.7057, kappa: 0.4106, kb_relative_information_score: 355.6486, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7057, predictive_accuracy: 0.7057, prior_entropy: 0.9992, recall: 0.7057, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.004, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7184, kappa: 0.436, kb_relative_information_score: 368.7286, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7183, predictive_accuracy: 0.7184, prior_entropy: 0.9992, recall: 0.7184, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9886, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7115, kappa: 0.4238, kb_relative_information_score: 363.5973, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7135, predictive_accuracy: 0.7115, prior_entropy: 0.9992, recall: 0.7115, relative_absolute_error: 0.5839, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.492, root_relative_squared_error: 0.9846, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3527, kb_relative_information_score: 28.5886, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.2675, predictive_accuracy: 0.5172, prior_entropy: 0.9992, recall: 0.5172, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6948, root_relative_squared_error: 1.3904, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, f_measure: 0.6254, kappa: 0.25, kb_relative_information_score: 197.3124, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6262, predictive_accuracy: 0.6264, prior_entropy: 0.9992, recall: 0.6264, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5562, root_relative_squared_error: 1.1131, scimark_benchmark: 906.0884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.6722, kappa: 0.3435, kb_relative_information_score: 184.2853, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6722, predictive_accuracy: 0.6724, prior_entropy: 0.9992, recall: 0.6724, relative_absolute_error: 0.8119, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.8939, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.7086, kappa: 0.4175, kb_relative_information_score: 227.0592, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7124, predictive_accuracy: 0.7103, prior_entropy: 0.9992, recall: 0.7103, relative_absolute_error: 0.768, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.874, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6742, kappa: 0.3485, kb_relative_information_score: 243.8381, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6768, predictive_accuracy: 0.6759, prior_entropy: 0.9992, recall: 0.6759, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9658, scimark_benchmark: 934.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.6674, kappa: 0.3338, kb_relative_information_score: 248.1656, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6676, predictive_accuracy: 0.6678, prior_entropy: 0.9992, recall: 0.6678, relative_absolute_error: 0.7302, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9151, scimark_benchmark: 906.0994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.631, kappa: 0.2612, kb_relative_information_score: 215.1621, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6311, predictive_accuracy: 0.631, prior_entropy: 0.9992, recall: 0.631, relative_absolute_error: 0.7584, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5272, root_relative_squared_error: 1.055, scimark_benchmark: 845.538, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6838, kappa: 0.3752, kb_relative_information_score: 331.0842, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7024, predictive_accuracy: 0.6908, prior_entropy: 0.9992, recall: 0.6908, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5561, root_relative_squared_error: 1.1128, scimark_benchmark: 939.3886, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6838, kappa: 0.3752, kb_relative_information_score: 331.0842, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7024, predictive_accuracy: 0.6908, prior_entropy: 0.9992, recall: 0.6908, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5561, root_relative_squared_error: 1.1128, scimark_benchmark: 944.5341, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.702, kappa: 0.4032, kb_relative_information_score: 327.3436, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7022, predictive_accuracy: 0.7023, prior_entropy: 0.9992, recall: 0.7023, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9668, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7079, kappa: 0.4148, kb_relative_information_score: 250.2962, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.708, prior_entropy: 0.9992, recall: 0.708, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8686, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.686, kappa: 0.3711, kb_relative_information_score: 267.1272, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6861, predictive_accuracy: 0.6862, prior_entropy: 0.9992, recall: 0.6862, relative_absolute_error: 0.7085, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.892, scimark_benchmark: 890.5596, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 949.7766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.622, kappa: 0.2432, kb_relative_information_score: 193.6222, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6227, predictive_accuracy: 0.623, prior_entropy: 0.9992, recall: 0.623, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5211, root_relative_squared_error: 1.0428, scimark_benchmark: 910.6607, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.6786, kappa: 0.3575, kb_relative_information_score: 268.0183, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6818, predictive_accuracy: 0.6805, prior_entropy: 0.9992, recall: 0.6805, relative_absolute_error: 0.7084, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.867, scimark_benchmark: 935.627, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.6884, kappa: 0.3758, kb_relative_information_score: 301.6278, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6884, predictive_accuracy: 0.6885, prior_entropy: 0.9992, recall: 0.6885, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9223, scimark_benchmark: 928.3322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6742, kappa: 0.3485, kb_relative_information_score: 243.8381, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6768, predictive_accuracy: 0.6759, prior_entropy: 0.9992, recall: 0.6759, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9658, scimark_benchmark: 936.4883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.6674, kappa: 0.3338, kb_relative_information_score: 248.1656, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6676, predictive_accuracy: 0.6678, prior_entropy: 0.9992, recall: 0.6678, relative_absolute_error: 0.7302, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9151, scimark_benchmark: 905.6279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6838, kappa: 0.3752, kb_relative_information_score: 331.0842, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7024, predictive_accuracy: 0.6908, prior_entropy: 0.9992, recall: 0.6908, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5561, root_relative_squared_error: 1.1128, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6838, kappa: 0.3752, kb_relative_information_score: 331.0842, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7024, predictive_accuracy: 0.6908, prior_entropy: 0.9992, recall: 0.6908, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5561, root_relative_squared_error: 1.1128, scimark_benchmark: 1314.9949, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 1327.5842, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.702, kappa: 0.4032, kb_relative_information_score: 327.3436, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7022, predictive_accuracy: 0.7023, prior_entropy: 0.9992, recall: 0.7023, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9668, scimark_benchmark: 1335.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 1335.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7079, kappa: 0.4148, kb_relative_information_score: 250.2962, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.708, prior_entropy: 0.9992, recall: 0.708, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8686, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.702, kappa: 0.4032, kb_relative_information_score: 327.3436, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7022, predictive_accuracy: 0.7023, prior_entropy: 0.9992, recall: 0.7023, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9668, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.6786, kappa: 0.3575, kb_relative_information_score: 268.0183, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6818, predictive_accuracy: 0.6805, prior_entropy: 0.9992, recall: 0.6805, relative_absolute_error: 0.7084, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.867, scimark_benchmark: 1353.0836, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6838, kappa: 0.3752, kb_relative_information_score: 331.0842, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7024, predictive_accuracy: 0.6908, prior_entropy: 0.9992, recall: 0.6908, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5561, root_relative_squared_error: 1.1128, scimark_benchmark: 1324.3027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.702, kappa: 0.4032, kb_relative_information_score: 327.3436, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7022, predictive_accuracy: 0.7023, prior_entropy: 0.9992, recall: 0.7023, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9668, scimark_benchmark: 1286.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7079, kappa: 0.4148, kb_relative_information_score: 250.2962, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7079, predictive_accuracy: 0.708, prior_entropy: 0.9992, recall: 0.708, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8686, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6838, kappa: 0.3752, kb_relative_information_score: 331.0842, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7024, predictive_accuracy: 0.6908, prior_entropy: 0.9992, recall: 0.6908, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5561, root_relative_squared_error: 1.1128, scimark_benchmark: 1316.3384, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 1309.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 1366.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6742, kappa: 0.3485, kb_relative_information_score: 243.8381, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6768, predictive_accuracy: 0.6759, prior_entropy: 0.9992, recall: 0.6759, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9658, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.702, kappa: 0.4032, kb_relative_information_score: 327.3436, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7022, predictive_accuracy: 0.7023, prior_entropy: 0.9992, recall: 0.7023, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9668, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.686, kappa: 0.3711, kb_relative_information_score: 267.1272, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6861, predictive_accuracy: 0.6862, prior_entropy: 0.9992, recall: 0.6862, relative_absolute_error: 0.7085, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.892, scimark_benchmark: 1318.6467, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.6838, kappa: 0.3752, kb_relative_information_score: 331.0842, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7024, predictive_accuracy: 0.6908, prior_entropy: 0.9992, recall: 0.6908, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5561, root_relative_squared_error: 1.1128, scimark_benchmark: 1337.1928, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.702, kappa: 0.4032, kb_relative_information_score: 327.3436, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.7022, predictive_accuracy: 0.7023, prior_entropy: 0.9992, recall: 0.7023, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9668, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.6953, kappa: 0.3896, kb_relative_information_score: 312.0481, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6953, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9365, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.622, kappa: 0.2432, kb_relative_information_score: 193.6222, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6227, predictive_accuracy: 0.623, prior_entropy: 0.9992, recall: 0.623, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5211, root_relative_squared_error: 1.0428, scimark_benchmark: 1347.3402, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.6786, kappa: 0.3575, kb_relative_information_score: 268.0183, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6818, predictive_accuracy: 0.6805, prior_entropy: 0.9992, recall: 0.6805, relative_absolute_error: 0.7084, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.867, scimark_benchmark: 1335.5309, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.6954, kappa: 0.3902, kb_relative_information_score: 260.3192, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4994, number_of_instances: 870, precision: 0.6955, predictive_accuracy: 0.6954, prior_entropy: 0.9992, recall: 0.6954, relative_absolute_error: 0.7185, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9177, scimark_benchmark: 1320.2063, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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