OpenML
Supervised Classification on fri_c3_250_10

Supervised Classification on fri_c3_250_10

Task 3658 Supervised Classification fri_c3_250_10 564 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

564 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3787, kb_relative_information_score: 17.8777, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3608, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8441, kappa: 0.6866, kb_relative_information_score: 167.4986, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8445, predictive_accuracy: 0.844, prior_entropy: 0.9955, recall: 0.844, relative_absolute_error: 0.3351, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7532, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8838, kappa: 0.7658, kb_relative_information_score: 83.6838, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8842, predictive_accuracy: 0.884, prior_entropy: 0.9955, recall: 0.884, relative_absolute_error: 0.7219, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7577, scimark_benchmark: 924.4107, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7641, f_measure: 0.727, kappa: 0.4517, kb_relative_information_score: 44.9521, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7374, predictive_accuracy: 0.732, prior_entropy: 0.9955, recall: 0.732, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.8978, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.871, kappa: 0.74, kb_relative_information_score: 163.8497, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8757, predictive_accuracy: 0.872, prior_entropy: 0.9955, recall: 0.872, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6568, scimark_benchmark: 899.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8799, kappa: 0.7581, kb_relative_information_score: 142.6612, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6349, scimark_benchmark: 930.0565, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9079, kappa: 0.8145, kb_relative_information_score: 176.1525, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9081, predictive_accuracy: 0.908, prior_entropy: 0.9955, recall: 0.908, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.5612, scimark_benchmark: 934.929, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.7484, kappa: 0.497, kb_relative_information_score: 122.8291, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7528, predictive_accuracy: 0.748, prior_entropy: 0.9955, recall: 0.748, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0072, scimark_benchmark: 946.8777, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8602, kappa: 0.7191, kb_relative_information_score: 163.2474, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.861, predictive_accuracy: 0.86, prior_entropy: 0.9955, recall: 0.86, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6115, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.8959, kappa: 0.7904, kb_relative_information_score: 151.8008, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9955, recall: 0.896, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.6027, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.6603, kappa: 0.3169, kb_relative_information_score: 48.8773, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6607, predictive_accuracy: 0.66, prior_entropy: 0.9955, recall: 0.66, relative_absolute_error: 0.8225, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9266, scimark_benchmark: 952.4682, usercpu_time_millis: 1520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 879.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8398, kappa: 0.6771, kb_relative_information_score: 153.5527, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9955, recall: 0.84, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7115, scimark_benchmark: 946.6409, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9039, kappa: 0.8065, kb_relative_information_score: 155.0207, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.561, scimark_benchmark: 946.9304, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.871, kappa: 0.74, kb_relative_information_score: 163.8497, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8757, predictive_accuracy: 0.872, prior_entropy: 0.9955, recall: 0.872, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6568, scimark_benchmark: 901.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.7484, kappa: 0.497, kb_relative_information_score: 122.8291, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7528, predictive_accuracy: 0.748, prior_entropy: 0.9955, recall: 0.748, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0072, scimark_benchmark: 1314.9949, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.6603, kappa: 0.3169, kb_relative_information_score: 48.8748, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6607, predictive_accuracy: 0.66, prior_entropy: 0.9955, recall: 0.66, relative_absolute_error: 0.8225, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9266, scimark_benchmark: 1327.5842, usercpu_time_millis: 1040, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8602, kappa: 0.7191, kb_relative_information_score: 163.2474, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.861, predictive_accuracy: 0.86, prior_entropy: 0.9955, recall: 0.86, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6115, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1335.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8398, kappa: 0.6771, kb_relative_information_score: 153.5527, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9955, recall: 0.84, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7115, scimark_benchmark: 1318.6467, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9039, kappa: 0.8065, kb_relative_information_score: 155.0207, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.561, scimark_benchmark: 1322.5413, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.7484, kappa: 0.497, kb_relative_information_score: 122.8291, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7528, predictive_accuracy: 0.748, prior_entropy: 0.9955, recall: 0.748, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0072, scimark_benchmark: 1342.8632, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1325.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8602, kappa: 0.7191, kb_relative_information_score: 163.2474, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.861, predictive_accuracy: 0.86, prior_entropy: 0.9955, recall: 0.86, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6115, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9079, kappa: 0.8145, kb_relative_information_score: 176.1525, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9081, predictive_accuracy: 0.908, prior_entropy: 0.9955, recall: 0.908, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.5612, scimark_benchmark: 1336.0954, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8602, kappa: 0.7191, kb_relative_information_score: 163.2474, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.861, predictive_accuracy: 0.86, prior_entropy: 0.9955, recall: 0.86, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6115, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.7484, kappa: 0.497, kb_relative_information_score: 122.8291, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7528, predictive_accuracy: 0.748, prior_entropy: 0.9955, recall: 0.748, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0072, scimark_benchmark: 1340.5125, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.871, kappa: 0.74, kb_relative_information_score: 163.8497, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8757, predictive_accuracy: 0.872, prior_entropy: 0.9955, recall: 0.872, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6568, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.7484, kappa: 0.497, kb_relative_information_score: 122.8291, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7528, predictive_accuracy: 0.748, prior_entropy: 0.9955, recall: 0.748, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0072, scimark_benchmark: 1375.1578, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8602, kappa: 0.7191, kb_relative_information_score: 163.2474, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.861, predictive_accuracy: 0.86, prior_entropy: 0.9955, recall: 0.86, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6115, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.8959, kappa: 0.7904, kb_relative_information_score: 151.8008, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9955, recall: 0.896, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.6027, scimark_benchmark: 1340.9749, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9039, kappa: 0.8065, kb_relative_information_score: 155.0207, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.561, scimark_benchmark: 1342.6744, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.871, kappa: 0.74, kb_relative_information_score: 163.8497, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8757, predictive_accuracy: 0.872, prior_entropy: 0.9955, recall: 0.872, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6568, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8602, kappa: 0.7191, kb_relative_information_score: 163.2474, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.861, predictive_accuracy: 0.86, prior_entropy: 0.9955, recall: 0.86, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6115, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8398, kappa: 0.6771, kb_relative_information_score: 153.5527, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9955, recall: 0.84, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7115, scimark_benchmark: 1374.9737, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.7484, kappa: 0.497, kb_relative_information_score: 122.8291, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7528, predictive_accuracy: 0.748, prior_entropy: 0.9955, recall: 0.748, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0072, scimark_benchmark: 1296.8947, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8602, kappa: 0.7191, kb_relative_information_score: 163.2474, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.861, predictive_accuracy: 0.86, prior_entropy: 0.9955, recall: 0.86, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6115, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1329.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.8959, kappa: 0.7904, kb_relative_information_score: 151.8008, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9955, recall: 0.896, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.6027, scimark_benchmark: 1318.4315, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.6603, kappa: 0.3169, kb_relative_information_score: 48.8748, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6607, predictive_accuracy: 0.66, prior_entropy: 0.9955, recall: 0.66, relative_absolute_error: 0.8225, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9266, scimark_benchmark: 1310.3168, usercpu_time_millis: 720, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9039, kappa: 0.8065, kb_relative_information_score: 155.0207, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.561, scimark_benchmark: 1310.3168, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8799, kappa: 0.7581, kb_relative_information_score: 142.6612, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6349, scimark_benchmark: 1358.6198, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.6603, kappa: 0.3169, kb_relative_information_score: 48.8748, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6607, predictive_accuracy: 0.66, prior_entropy: 0.9955, recall: 0.66, relative_absolute_error: 0.8225, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9266, scimark_benchmark: 1358.6198, usercpu_time_millis: 1030, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9079, kappa: 0.8145, kb_relative_information_score: 176.1525, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9081, predictive_accuracy: 0.908, prior_entropy: 0.9955, recall: 0.908, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.5612, scimark_benchmark: 1339.3082, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8602, kappa: 0.7191, kb_relative_information_score: 163.2474, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.861, predictive_accuracy: 0.86, prior_entropy: 0.9955, recall: 0.86, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6115, scimark_benchmark: 1343.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1336.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1329.5628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.8959, kappa: 0.7904, kb_relative_information_score: 151.8008, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9955, recall: 0.896, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.6027, scimark_benchmark: 1342.9012, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1337.4384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9039, kappa: 0.8065, kb_relative_information_score: 155.0207, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.561, scimark_benchmark: 1319.5773, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8799, kappa: 0.7581, kb_relative_information_score: 142.6612, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6349, scimark_benchmark: 1318.3027, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.7484, kappa: 0.497, kb_relative_information_score: 122.8291, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7528, predictive_accuracy: 0.748, prior_entropy: 0.9955, recall: 0.748, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0072, scimark_benchmark: 1344.0499, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8398, kappa: 0.6771, kb_relative_information_score: 153.5527, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9955, recall: 0.84, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7115, scimark_benchmark: 1327.6367, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9039, kappa: 0.8065, kb_relative_information_score: 155.0207, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.561, scimark_benchmark: 1333.202, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.872, kappa: 0.7424, kb_relative_information_score: 149.4921, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 0.9955, recall: 0.872, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.5956, scimark_benchmark: 1352.06, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.8959, kappa: 0.7904, kb_relative_information_score: 151.8008, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.9955, recall: 0.896, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.6027, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9039, kappa: 0.8065, kb_relative_information_score: 155.0207, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.561, scimark_benchmark: 942.9708, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8799, kappa: 0.7581, kb_relative_information_score: 142.6612, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6349, scimark_benchmark: 1371.9645, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.6603, kappa: 0.3169, kb_relative_information_score: 48.8748, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6607, predictive_accuracy: 0.66, prior_entropy: 0.9955, recall: 0.66, relative_absolute_error: 0.8225, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9266, scimark_benchmark: 1341.5795, usercpu_time_millis: 740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8602, kappa: 0.7191, kb_relative_information_score: 163.2474, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.861, predictive_accuracy: 0.86, prior_entropy: 0.9955, recall: 0.86, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6115, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.6603, kappa: 0.3169, kb_relative_information_score: 48.8773, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6607, predictive_accuracy: 0.66, prior_entropy: 0.9955, recall: 0.66, relative_absolute_error: 0.8225, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9266, scimark_benchmark: 918.0213, usercpu_time_millis: 1030, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.871, kappa: 0.74, kb_relative_information_score: 163.8497, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8757, predictive_accuracy: 0.872, prior_entropy: 0.9955, recall: 0.872, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6568, scimark_benchmark: 1329.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.8878, kappa: 0.774, kb_relative_information_score: 110.7786, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8881, predictive_accuracy: 0.888, prior_entropy: 0.9955, recall: 0.888, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6771, scimark_benchmark: 1329.4762, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8602, kappa: 0.7191, kb_relative_information_score: 163.2474, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.861, predictive_accuracy: 0.86, prior_entropy: 0.9955, recall: 0.86, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6115, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.871, kappa: 0.74, kb_relative_information_score: 163.8497, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8757, predictive_accuracy: 0.872, prior_entropy: 0.9955, recall: 0.872, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6568, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 164.9235, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6043, scimark_benchmark: 1343.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9039, kappa: 0.8065, kb_relative_information_score: 155.0207, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.561, scimark_benchmark: 1312.0581, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8799, kappa: 0.7581, kb_relative_information_score: 142.6612, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6349, scimark_benchmark: 1328.941, 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