OpenML
Supervised Classification on fri_c4_100_25

Supervised Classification on fri_c4_100_25

Task 4437 Supervised Classification fri_c4_100_25 230 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

230 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.7246, kappa: 0.4447, kb_relative_information_score: 387.8732, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7257, predictive_accuracy: 0.726, prior_entropy: 0.9956, recall: 0.726, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9544, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7284, kappa: 0.4527, kb_relative_information_score: 401.8887, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7285, predictive_accuracy: 0.729, prior_entropy: 0.9956, recall: 0.729, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8544, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.7295, kappa: 0.4549, kb_relative_information_score: 428.8892, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7295, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.5795, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9309, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6984, kappa: 0.392, kb_relative_information_score: 394.4618, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6994, predictive_accuracy: 0.7, prior_entropy: 0.9956, recall: 0.7, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.099, scimark_benchmark: 931.771, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6984, kappa: 0.392, kb_relative_information_score: 394.4618, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6994, predictive_accuracy: 0.7, prior_entropy: 0.9956, recall: 0.7, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.099, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.7621, kappa: 0.5205, kb_relative_information_score: 331.2234, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7654, predictive_accuracy: 0.764, prior_entropy: 0.9956, recall: 0.764, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8058, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.6776, kappa: 0.35, kb_relative_information_score: 267.3356, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6781, predictive_accuracy: 0.679, prior_entropy: 0.9956, recall: 0.679, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9694, scimark_benchmark: 926.576, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7495, kappa: 0.4952, kb_relative_information_score: 445.6825, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7496, predictive_accuracy: 0.75, prior_entropy: 0.9956, recall: 0.75, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8953, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.7846, kappa: 0.5657, kb_relative_information_score: 329.0806, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.786, prior_entropy: 0.9956, recall: 0.786, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7861, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6984, kappa: 0.392, kb_relative_information_score: 394.4618, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6994, predictive_accuracy: 0.7, prior_entropy: 0.9956, recall: 0.7, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.099, scimark_benchmark: 937.5117, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6984, kappa: 0.392, kb_relative_information_score: 394.4618, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6994, predictive_accuracy: 0.7, prior_entropy: 0.9956, recall: 0.7, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.099, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.7846, kappa: 0.5657, kb_relative_information_score: 329.0806, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.786, prior_entropy: 0.9956, recall: 0.786, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7861, scimark_benchmark: 943.1009, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.7246, kappa: 0.4447, kb_relative_information_score: 387.8732, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7257, predictive_accuracy: 0.726, prior_entropy: 0.9956, recall: 0.726, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9544, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7284, kappa: 0.4527, kb_relative_information_score: 401.8887, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7285, predictive_accuracy: 0.729, prior_entropy: 0.9956, recall: 0.729, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8544, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.7295, kappa: 0.4549, kb_relative_information_score: 428.8892, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7295, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.5795, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9309, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6984, kappa: 0.392, kb_relative_information_score: 394.4618, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6994, predictive_accuracy: 0.7, prior_entropy: 0.9956, recall: 0.7, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.099, scimark_benchmark: 943.6618, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.7621, kappa: 0.5205, kb_relative_information_score: 331.2234, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7654, predictive_accuracy: 0.764, prior_entropy: 0.9956, recall: 0.764, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8058, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.6776, kappa: 0.35, kb_relative_information_score: 267.3356, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6781, predictive_accuracy: 0.679, prior_entropy: 0.9956, recall: 0.679, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9694, scimark_benchmark: 938.4601, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7495, kappa: 0.4952, kb_relative_information_score: 445.6825, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7496, predictive_accuracy: 0.75, prior_entropy: 0.9956, recall: 0.75, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8953, scimark_benchmark: 936.9595, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.7846, kappa: 0.5657, kb_relative_information_score: 329.0806, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.786, prior_entropy: 0.9956, recall: 0.786, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7861, scimark_benchmark: 936.9595, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.7498, kappa: 0.4956, kb_relative_information_score: 302.9046, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.751, predictive_accuracy: 0.751, prior_entropy: 0.9956, recall: 0.751, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8228, scimark_benchmark: 901.4991, usercpu_time_millis: 1680, usercpu_time_millis_testing: 800, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7602, kappa: 0.5165, kb_relative_information_score: 305.6469, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7608, predictive_accuracy: 0.761, prior_entropy: 0.9956, recall: 0.761, relative_absolute_error: 0.7293, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8215, scimark_benchmark: 906.5979, usercpu_time_millis: 800, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7553, kappa: 0.5068, kb_relative_information_score: 306.1537, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7577, predictive_accuracy: 0.757, prior_entropy: 0.9956, recall: 0.757, relative_absolute_error: 0.728, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.827, scimark_benchmark: 921.466, usercpu_time_millis: 280, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7462, kappa: 0.4885, kb_relative_information_score: 307.6869, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7486, predictive_accuracy: 0.748, prior_entropy: 0.9956, recall: 0.748, relative_absolute_error: 0.7257, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8308, scimark_benchmark: 931.6751, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.7217, kappa: 0.4389, kb_relative_information_score: 286.3693, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7226, predictive_accuracy: 0.723, prior_entropy: 0.9956, recall: 0.723, relative_absolute_error: 0.7401, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.8699, scimark_benchmark: 918.0831, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7174, kappa: 0.4303, kb_relative_information_score: 414.7437, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7174, predictive_accuracy: 0.718, prior_entropy: 0.9956, recall: 0.718, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9975, scimark_benchmark: 941.9549, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.7113, kappa: 0.418, kb_relative_information_score: 408.0668, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7114, predictive_accuracy: 0.712, prior_entropy: 0.9956, recall: 0.712, relative_absolute_error: 0.5916, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0041, scimark_benchmark: 941.9549, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.7106, kappa: 0.4169, kb_relative_information_score: 416.7804, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7105, predictive_accuracy: 0.711, prior_entropy: 0.9956, recall: 0.711, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.9849, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.7252, kappa: 0.4462, kb_relative_information_score: 429.6913, mean_absolute_error: 0.2843, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7255, predictive_accuracy: 0.726, prior_entropy: 0.9956, recall: 0.726, relative_absolute_error: 0.5723, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9318, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.7396, kappa: 0.4753, kb_relative_information_score: 420.5847, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7396, predictive_accuracy: 0.74, prior_entropy: 0.9956, recall: 0.74, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.443, root_relative_squared_error: 0.8889, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4517, f_measure: 0.3787, kb_relative_information_score: -1.6504, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9956, recall: 0.54, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0011, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.735, kappa: 0.4667, kb_relative_information_score: 465.1948, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.735, predictive_accuracy: 0.735, prior_entropy: 0.9956, recall: 0.735, relative_absolute_error: 0.5328, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9962, scimark_benchmark: 941.9549, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.746, kappa: 0.4887, kb_relative_information_score: 485.6446, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.746, predictive_accuracy: 0.746, prior_entropy: 0.9956, recall: 0.746, relative_absolute_error: 0.514, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4782, root_relative_squared_error: 0.9595, scimark_benchmark: 936.1714, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7578, kappa: 0.5121, kb_relative_information_score: 503.62, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7577, predictive_accuracy: 0.758, prior_entropy: 0.9956, recall: 0.758, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9323, scimark_benchmark: 938.3115, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.7486, kappa: 0.4934, kb_relative_information_score: 487.127, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7486, predictive_accuracy: 0.749, prior_entropy: 0.9956, recall: 0.749, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9269, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.7201, kappa: 0.4357, kb_relative_information_score: 425.0071, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7221, predictive_accuracy: 0.722, prior_entropy: 0.9956, recall: 0.722, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.9805, 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: 0.3787, kb_relative_information_score: 71.6033, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9956, recall: 0.54, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3608, scimark_benchmark: 922.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, f_measure: 0.7046, kappa: 0.405, kb_relative_information_score: 391.8401, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7045, predictive_accuracy: 0.705, prior_entropy: 0.9956, recall: 0.705, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5246, root_relative_squared_error: 1.0525, scimark_benchmark: 906.0884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.7742, kappa: 0.5463, kb_relative_information_score: 252.1134, mean_absolute_error: 0.3915, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7749, predictive_accuracy: 0.774, prior_entropy: 0.9956, recall: 0.774, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8349, scimark_benchmark: 899.1108, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.6851, kappa: 0.3653, kb_relative_information_score: 187.5615, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6852, predictive_accuracy: 0.686, prior_entropy: 0.9956, recall: 0.686, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9057, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.7246, kappa: 0.4447, kb_relative_information_score: 387.8732, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7257, predictive_accuracy: 0.726, prior_entropy: 0.9956, recall: 0.726, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9544, scimark_benchmark: 907.1091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.7265, kappa: 0.4488, kb_relative_information_score: 402.4256, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7265, predictive_accuracy: 0.727, prior_entropy: 0.9956, recall: 0.727, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8539, scimark_benchmark: 930.0565, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.7295, kappa: 0.4549, kb_relative_information_score: 428.8892, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7295, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.5795, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9309, scimark_benchmark: 869.7548, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6984, kappa: 0.392, kb_relative_information_score: 394.4618, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6994, predictive_accuracy: 0.7, prior_entropy: 0.9956, recall: 0.7, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.099, scimark_benchmark: 939.3886, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6984, kappa: 0.392, kb_relative_information_score: 394.4618, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6994, predictive_accuracy: 0.7, prior_entropy: 0.9956, recall: 0.7, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.099, scimark_benchmark: 944.5341, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7334, kappa: 0.4625, kb_relative_information_score: 433.9336, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7351, predictive_accuracy: 0.735, prior_entropy: 0.9956, recall: 0.735, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8814, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.7621, kappa: 0.5205, kb_relative_information_score: 331.2234, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7654, predictive_accuracy: 0.764, prior_entropy: 0.9956, recall: 0.764, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8058, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.6776, kappa: 0.35, kb_relative_information_score: 267.3356, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6781, predictive_accuracy: 0.679, prior_entropy: 0.9956, recall: 0.679, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9694, scimark_benchmark: 890.5596, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 949.7766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7495, kappa: 0.4952, kb_relative_information_score: 445.6825, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7496, predictive_accuracy: 0.75, prior_entropy: 0.9956, recall: 0.75, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8953, scimark_benchmark: 910.6607, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.7846, kappa: 0.5657, kb_relative_information_score: 329.0806, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.786, prior_entropy: 0.9956, recall: 0.786, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7861, scimark_benchmark: 879.4299, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.7246, kappa: 0.4447, kb_relative_information_score: 387.8732, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7257, predictive_accuracy: 0.726, prior_entropy: 0.9956, recall: 0.726, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9544, scimark_benchmark: 936.4883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.7265, kappa: 0.4488, kb_relative_information_score: 402.4256, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7265, predictive_accuracy: 0.727, prior_entropy: 0.9956, recall: 0.727, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8539, scimark_benchmark: 932.1893, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6984, kappa: 0.392, kb_relative_information_score: 394.4618, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6994, predictive_accuracy: 0.7, prior_entropy: 0.9956, recall: 0.7, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.099, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6984, kappa: 0.392, kb_relative_information_score: 394.4618, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6994, predictive_accuracy: 0.7, prior_entropy: 0.9956, recall: 0.7, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.099, scimark_benchmark: 1314.9949, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.7246, kappa: 0.4447, kb_relative_information_score: 387.8732, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7257, predictive_accuracy: 0.726, prior_entropy: 0.9956, recall: 0.726, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9544, scimark_benchmark: 1309.4998, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.7621, kappa: 0.5205, kb_relative_information_score: 331.2234, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7654, predictive_accuracy: 0.764, prior_entropy: 0.9956, recall: 0.764, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8058, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.7846, kappa: 0.5657, kb_relative_information_score: 329.0806, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.786, prior_entropy: 0.9956, recall: 0.786, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7861, scimark_benchmark: 1331.2559, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1333.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6984, kappa: 0.392, kb_relative_information_score: 394.4618, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6994, predictive_accuracy: 0.7, prior_entropy: 0.9956, recall: 0.7, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.099, scimark_benchmark: 1317.7919, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7334, kappa: 0.4625, kb_relative_information_score: 433.9336, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7351, predictive_accuracy: 0.735, prior_entropy: 0.9956, recall: 0.735, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8814, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7334, kappa: 0.4625, kb_relative_information_score: 433.9336, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7351, predictive_accuracy: 0.735, prior_entropy: 0.9956, recall: 0.735, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8814, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1347.1763, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.6776, kappa: 0.35, kb_relative_information_score: 267.3356, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6781, predictive_accuracy: 0.679, prior_entropy: 0.9956, recall: 0.679, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9694, scimark_benchmark: 1333.202, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6984, kappa: 0.392, kb_relative_information_score: 394.4618, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6994, predictive_accuracy: 0.7, prior_entropy: 0.9956, recall: 0.7, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.099, scimark_benchmark: 1332.7986, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7334, kappa: 0.4625, kb_relative_information_score: 433.9336, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7351, predictive_accuracy: 0.735, prior_entropy: 0.9956, recall: 0.735, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8814, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7353, kappa: 0.4664, kb_relative_information_score: 435.6917, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7372, predictive_accuracy: 0.737, prior_entropy: 0.9956, recall: 0.737, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8767, scimark_benchmark: 1337.3324, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7495, kappa: 0.4952, kb_relative_information_score: 445.6825, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7496, predictive_accuracy: 0.75, prior_entropy: 0.9956, recall: 0.75, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8953, scimark_benchmark: 1320.8283, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.7846, kappa: 0.5657, kb_relative_information_score: 329.0806, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.786, prior_entropy: 0.9956, recall: 0.786, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7861, scimark_benchmark: 1335.5309, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.7246, kappa: 0.4447, kb_relative_information_score: 387.8732, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7257, predictive_accuracy: 0.726, prior_entropy: 0.9956, recall: 0.726, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9544, scimark_benchmark: 1309.4708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.6513, kappa: 0.2987, kb_relative_information_score: 266.8436, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.6517, predictive_accuracy: 0.651, prior_entropy: 0.9956, recall: 0.651, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5428, root_relative_squared_error: 1.0891, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.7295, kappa: 0.4549, kb_relative_information_score: 428.8969, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4969, number_of_instances: 1000, precision: 0.7295, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.5795, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9309, scimark_benchmark: 1342.2845, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs