Task
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
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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: 0.7506, 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: 0.9345, 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: 0.9656, 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: 0.9442, 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: 0.9435, 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: 0.9435, 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: 0.9345, 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: 0.9435, 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: 0.9435, 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: 1354.3488,
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: 0.9345, 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: 1310.6554,
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: 0.9435, 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: 1339.2472,
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: 0.7506, 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: 0.9435, 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: 0.7506, 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: 0.9433, 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: 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: 1313.8988, usercpu_time_millis: 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: 0.8819, 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: 0.9435, 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: 0.9656, 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: 0.9656, 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: 0.9435, 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: 0.9435, 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: 1329.8008,
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: 0.9656, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.7923, kappa: 0.5829, kb_relative_information_score: 145.0303, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7935, predictive_accuracy: 0.792, prior_entropy: 0.9955, recall: 0.792, relative_absolute_error: 0.4187, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9151, usercpu_time_millis: 1.504, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 1.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8999, kappa: 0.7983, kb_relative_information_score: 199.5243, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.9955, recall: 0.9, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6345, usercpu_time_millis: 11.639, usercpu_time_millis_testing: 1.547, usercpu_time_millis_training: 10.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.6445, kappa: 0.2866, kb_relative_information_score: 70.3534, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.646, predictive_accuracy: 0.644, prior_entropy: 0.9955, recall: 0.644, relative_absolute_error: 0.7166, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1972, usercpu_time_millis: 0.647, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6604, kappa: 0.3178, kb_relative_information_score: 78.4265, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6613, predictive_accuracy: 0.66, prior_entropy: 0.9955, recall: 0.66, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1699, usercpu_time_millis: 0.112, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.6482, kappa: 0.2924, kb_relative_information_score: 72.3717, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6485, predictive_accuracy: 0.648, prior_entropy: 0.9955, recall: 0.648, relative_absolute_error: 0.7085, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1904, usercpu_time_millis: 0.485, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 0.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, f_measure: 0.6516, kappa: 0.2982, kb_relative_information_score: 74.3899, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6514, predictive_accuracy: 0.652, prior_entropy: 0.9955, recall: 0.652, relative_absolute_error: 0.7004, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1836, usercpu_time_millis: 0.373, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 0.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.6482, kappa: 0.2924, kb_relative_information_score: 72.3717, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6485, predictive_accuracy: 0.648, prior_entropy: 0.9955, recall: 0.648, relative_absolute_error: 0.7085, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1904, usercpu_time_millis: 0.648, usercpu_time_millis_testing: 0.504, usercpu_time_millis_training: 0.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5668, f_measure: 0.5704, kappa: 0.1354, kb_relative_information_score: 36.0423, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.5723, predictive_accuracy: 0.576, prior_entropy: 0.9955, recall: 0.576, relative_absolute_error: 0.8534, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3065, usercpu_time_millis: 0.273, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.9117, kappa: 0.8219, kb_relative_information_score: 205.5792, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9133, predictive_accuracy: 0.912, prior_entropy: 0.9955, recall: 0.912, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.5952, usercpu_time_millis: 54.871, usercpu_time_millis_testing: 3.371, usercpu_time_millis_training: 51.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.6322, kappa: 0.2602, kb_relative_information_score: 64.2985, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6325, predictive_accuracy: 0.632, prior_entropy: 0.9955, recall: 0.632, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2172, usercpu_time_millis: 0.466, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 0.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6604, kappa: 0.3178, kb_relative_information_score: 78.4265, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6613, predictive_accuracy: 0.66, prior_entropy: 0.9955, recall: 0.66, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1699, usercpu_time_millis: 0.149, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.6311, kappa: 0.2564, kb_relative_information_score: 64.2985, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6309, predictive_accuracy: 0.632, prior_entropy: 0.9955, recall: 0.632, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2172, usercpu_time_millis: 1.888, usercpu_time_millis_testing: 0.732, usercpu_time_millis_training: 1.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.8674, kappa: 0.7328, kb_relative_information_score: 183.3779, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8692, predictive_accuracy: 0.868, prior_entropy: 0.9955, recall: 0.868, relative_absolute_error: 0.2657, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.729, usercpu_time_millis: 2.016, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 1.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, f_measure: 0.6363, kappa: 0.2687, kb_relative_information_score: 66.3168, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6368, predictive_accuracy: 0.636, prior_entropy: 0.9955, recall: 0.636, relative_absolute_error: 0.7327, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6033, root_relative_squared_error: 1.2105, usercpu_time_millis: 0.048, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.7323, kappa: 0.4657, kb_relative_information_score: 114.7559, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7379, predictive_accuracy: 0.732, prior_entropy: 0.9955, recall: 0.732, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0387, usercpu_time_millis: 0.238, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, f_measure: 0.664, kappa: 0.3237, kb_relative_information_score: 80.4448, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.664, predictive_accuracy: 0.664, prior_entropy: 0.9955, recall: 0.664, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.163, usercpu_time_millis: 0.702, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.7185, kappa: 0.4444, kb_relative_information_score: 114.7559, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.7597, predictive_accuracy: 0.732, prior_entropy: 0.9955, recall: 0.732, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0387, usercpu_time_millis: 1.39, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 1.197,
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, usercpu_time_millis: 0.356, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.888, kappa: 0.7746, kb_relative_information_score: 193.4694, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9955, recall: 0.888, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6715, usercpu_time_millis: 1.24, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 1.057,

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

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From your own software

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

OpenML APIs