OpenML
Supervised Classification on ar3

Supervised Classification on ar3

Task 3910 Supervised Classification ar3 514 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • study_1 study_107 study_123 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

514 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.9226, kappa: 0.6602, kb_relative_information_score: 32.9776, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.9253, predictive_accuracy: 0.9206, prior_entropy: 0.5802, recall: 0.9206, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.8462, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.8651, kappa: 0.3588, kb_relative_information_score: 20.9099, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8599, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9745, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.8651, kappa: 0.3588, kb_relative_information_score: 20.9099, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8599, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9745, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.8651, kappa: 0.3588, kb_relative_information_score: 20.9099, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8599, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9745, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.8988, kappa: 0.5191, kb_relative_information_score: 13.8451, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8964, predictive_accuracy: 0.9048, prior_entropy: 0.5802, recall: 0.9048, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.8539, scimark_benchmark: 1313.5633, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6057, f_measure: 0.8775, kappa: 0.4032, kb_relative_information_score: 12.0605, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8739, predictive_accuracy: 0.8889, prior_entropy: 0.5802, recall: 0.8889, relative_absolute_error: 0.6507, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.9497, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.8988, kappa: 0.5191, kb_relative_information_score: 23.9373, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8964, predictive_accuracy: 0.9048, prior_entropy: 0.5802, recall: 0.9048, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.9289, scimark_benchmark: 1346.0226, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8138, kb_relative_information_score: 17.4176, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.7622, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3563, root_relative_squared_error: 1.0696, scimark_benchmark: 1336.4701, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.8651, kappa: 0.3588, kb_relative_information_score: 20.9099, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8599, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9745, scimark_benchmark: 1343.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.8651, kappa: 0.3588, kb_relative_information_score: 20.9099, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8599, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9745, scimark_benchmark: 1329.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.8775, kappa: 0.4032, kb_relative_information_score: 15.4543, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8739, predictive_accuracy: 0.8889, prior_entropy: 0.5802, recall: 0.8889, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.324, root_relative_squared_error: 0.9726, scimark_benchmark: 1319.952, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.8988, kappa: 0.5191, kb_relative_information_score: 13.8451, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8964, predictive_accuracy: 0.9048, prior_entropy: 0.5802, recall: 0.9048, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.8539, scimark_benchmark: 1334.9442, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, f_measure: 0.8541, kappa: 0.2717, kb_relative_information_score: 11.7936, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8477, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3487, root_relative_squared_error: 1.0466, scimark_benchmark: 1308.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8138, kb_relative_information_score: 17.4176, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.7622, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3563, root_relative_squared_error: 1.0696, scimark_benchmark: 1286.0816, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8138, kb_relative_information_score: 17.4176, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.7622, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3563, root_relative_squared_error: 1.0696, scimark_benchmark: 1360.6367, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.8775, kappa: 0.4032, kb_relative_information_score: 15.4543, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8739, predictive_accuracy: 0.8889, prior_entropy: 0.5802, recall: 0.8889, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.324, root_relative_squared_error: 0.9726, scimark_benchmark: 1350.1007, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8138, kb_relative_information_score: 17.4176, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.7622, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3563, root_relative_squared_error: 1.0696, scimark_benchmark: 1330.2795, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.8651, kappa: 0.3588, kb_relative_information_score: 20.9099, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8599, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9745, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.8651, kappa: 0.3588, kb_relative_information_score: 13.6369, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8599, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.9054, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.8651, kappa: 0.3588, kb_relative_information_score: 20.9099, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8599, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9745, scimark_benchmark: 1325.5735, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.8775, kappa: 0.4032, kb_relative_information_score: 15.4543, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8739, predictive_accuracy: 0.8889, prior_entropy: 0.5802, recall: 0.8889, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.324, root_relative_squared_error: 0.9726, scimark_benchmark: 1354.3488, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.9226, kappa: 0.6602, kb_relative_information_score: 32.9776, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.9253, predictive_accuracy: 0.9206, prior_entropy: 0.5802, recall: 0.9206, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.8462, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.8651, kappa: 0.3588, kb_relative_information_score: 20.9099, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8599, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9745, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.8651, kappa: 0.3588, kb_relative_information_score: 20.9099, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8599, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9745, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.8988, kappa: 0.5191, kb_relative_information_score: 13.8451, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8964, predictive_accuracy: 0.9048, prior_entropy: 0.5802, recall: 0.9048, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.8539, scimark_benchmark: 942.9708, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.8906, kappa: 0.4538, kb_relative_information_score: 17.5487, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8943, predictive_accuracy: 0.9048, prior_entropy: 0.5802, recall: 0.9048, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.8836, scimark_benchmark: 1332.6143, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.8651, kappa: 0.3588, kb_relative_information_score: 20.9099, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8599, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9745, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.9226, kappa: 0.6602, kb_relative_information_score: 32.9776, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.9253, predictive_accuracy: 0.9206, prior_entropy: 0.5802, recall: 0.9206, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.8462, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.8651, kappa: 0.3588, kb_relative_information_score: 20.9099, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8599, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9745, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.8651, kappa: 0.3588, kb_relative_information_score: 13.6369, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8599, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.9054, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.8651, kappa: 0.3588, kb_relative_information_score: 20.9099, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8599, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9745, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, f_measure: 0.8775, kappa: 0.4032, kb_relative_information_score: 13.7201, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8739, predictive_accuracy: 0.8889, prior_entropy: 0.5802, recall: 0.8889, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.8668, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.8651, kappa: 0.3588, kb_relative_information_score: 20.9099, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8599, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9745, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.8651, kappa: 0.3588, kb_relative_information_score: 20.9099, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8599, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9745, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.8651, kappa: 0.3588, kb_relative_information_score: 20.9099, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8599, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9745, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.8651, kappa: 0.3588, kb_relative_information_score: 20.9099, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8599, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9745, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.8651, kappa: 0.3588, kb_relative_information_score: 20.9099, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8599, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9745, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.8988, kappa: 0.5191, kb_relative_information_score: 13.8451, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8964, predictive_accuracy: 0.9048, prior_entropy: 0.5802, recall: 0.9048, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.8539, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, f_measure: 0.8541, kappa: 0.2717, kb_relative_information_score: 11.7936, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8477, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3487, root_relative_squared_error: 1.0466, scimark_benchmark: 1334.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, f_measure: 0.8541, kappa: 0.2717, kb_relative_information_score: 11.7936, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8477, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3487, root_relative_squared_error: 1.0466, scimark_benchmark: 1355.2525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.542, f_measure: 0.716, kappa: 0.053, kb_relative_information_score: -51.3126, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.7939, predictive_accuracy: 0.6667, prior_entropy: 0.5802, recall: 0.6667, relative_absolute_error: 1.4475, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.733, scimark_benchmark: 1339.8573, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6057, f_measure: 0.8775, kappa: 0.4032, kb_relative_information_score: 12.0605, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8739, predictive_accuracy: 0.8889, prior_entropy: 0.5802, recall: 0.8889, relative_absolute_error: 0.6507, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.9497, scimark_benchmark: 1328.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6057, f_measure: 0.8775, kappa: 0.4032, kb_relative_information_score: 12.0605, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8739, predictive_accuracy: 0.8889, prior_entropy: 0.5802, recall: 0.8889, relative_absolute_error: 0.6507, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.9497, scimark_benchmark: 1345.842, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.8988, kappa: 0.5191, kb_relative_information_score: 25.021, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8964, predictive_accuracy: 0.9048, prior_entropy: 0.5802, recall: 0.9048, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.9254, scimark_benchmark: 909.1698, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6057, f_measure: 0.8775, kappa: 0.4032, kb_relative_information_score: 12.0605, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8739, predictive_accuracy: 0.8889, prior_entropy: 0.5802, recall: 0.8889, relative_absolute_error: 0.6507, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.9497, scimark_benchmark: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.8059, kappa: -0.029, kb_relative_information_score: 10.1502, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.7604, predictive_accuracy: 0.8571, prior_entropy: 0.5802, recall: 0.8571, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.8982, scimark_benchmark: 1311.9814, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.8382, kappa: 0.1572, kb_relative_information_score: 12.7166, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8363, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.8708, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, f_measure: 0.8541, kappa: 0.2717, kb_relative_information_score: 11.7936, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8477, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3487, root_relative_squared_error: 1.0466, scimark_benchmark: 1249.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6057, f_measure: 0.8775, kappa: 0.4032, kb_relative_information_score: 12.0605, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8739, predictive_accuracy: 0.8889, prior_entropy: 0.5802, recall: 0.8889, relative_absolute_error: 0.6507, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.9497, scimark_benchmark: 1326.8946, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, f_measure: 0.8988, kappa: 0.5191, kb_relative_information_score: 27.9915, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8964, predictive_accuracy: 0.9048, prior_entropy: 0.5802, recall: 0.9048, relative_absolute_error: 0.4136, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.9263, scimark_benchmark: 1341.4232, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.8988, kappa: 0.5191, kb_relative_information_score: 23.9373, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8964, predictive_accuracy: 0.9048, prior_entropy: 0.5802, recall: 0.9048, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.9289, scimark_benchmark: 1322.4968, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.853, kappa: 0.3193, kb_relative_information_score: 13.811, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8495, predictive_accuracy: 0.8571, prior_entropy: 0.5802, recall: 0.8571, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3571, root_relative_squared_error: 1.0718, scimark_benchmark: 1352.2099, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7341, f_measure: 0.8775, kappa: 0.4032, kb_relative_information_score: 17.9866, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8739, predictive_accuracy: 0.8889, prior_entropy: 0.5802, recall: 0.8889, relative_absolute_error: 0.5462, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3408, root_relative_squared_error: 1.0231, scimark_benchmark: 1339.4964, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, f_measure: 0.8541, kappa: 0.2717, kb_relative_information_score: 11.7936, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8477, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3487, root_relative_squared_error: 1.0466, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.8059, kappa: -0.029, kb_relative_information_score: 10.1585, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.7604, predictive_accuracy: 0.8571, prior_entropy: 0.5802, recall: 0.8571, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.299, root_relative_squared_error: 0.8975, scimark_benchmark: 1307.3764, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.8906, kappa: 0.4538, kb_relative_information_score: 13.8219, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8943, predictive_accuracy: 0.9048, prior_entropy: 0.5802, recall: 0.9048, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.289, root_relative_squared_error: 0.8676, scimark_benchmark: 896.937, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.8988, kappa: 0.5191, kb_relative_information_score: 24.4843, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8964, predictive_accuracy: 0.9048, prior_entropy: 0.5802, recall: 0.9048, relative_absolute_error: 0.5407, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.8651, scimark_benchmark: 1322.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.8183, kappa: 0.2238, kb_relative_information_score: -5.3307, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8288, predictive_accuracy: 0.8095, prior_entropy: 0.5802, recall: 0.8095, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3935, root_relative_squared_error: 1.1812, scimark_benchmark: 912.5006, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6057, f_measure: 0.8775, kappa: 0.4032, kb_relative_information_score: 12.0605, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8739, predictive_accuracy: 0.8889, prior_entropy: 0.5802, recall: 0.8889, relative_absolute_error: 0.6507, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.9497, scimark_benchmark: 1348.8637, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, f_measure: 0.8541, kappa: 0.2717, kb_relative_information_score: 11.7936, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8477, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3487, root_relative_squared_error: 1.0466, scimark_benchmark: 1349.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5523, f_measure: 0.8988, kappa: 0.5191, kb_relative_information_score: 21.5524, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8964, predictive_accuracy: 0.9048, prior_entropy: 0.5802, recall: 0.9048, relative_absolute_error: 0.5845, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.9055, scimark_benchmark: 1313.6093, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5693, f_measure: 0.7976, kappa: 0.0382, kb_relative_information_score: -0.3614, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.787, predictive_accuracy: 0.8095, prior_entropy: 0.5802, recall: 0.8095, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.4225, root_relative_squared_error: 1.2683, scimark_benchmark: 1296.8947, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6602, f_measure: 0.8651, kappa: 0.3588, kb_relative_information_score: 17.4176, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8599, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3563, root_relative_squared_error: 1.0696, scimark_benchmark: 1346.3935, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, f_measure: 0.8857, kappa: 0.4706, kb_relative_information_score: -124.8263, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8832, predictive_accuracy: 0.8889, prior_entropy: 0.5802, recall: 0.8889, relative_absolute_error: 1.8999, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.4531, root_relative_squared_error: 1.36, scimark_benchmark: 937.5996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4148, f_measure: 0.8138, kb_relative_information_score: 2.4146, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.7622, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.9414, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3348, root_relative_squared_error: 1.0049, scimark_benchmark: 1313.0885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6057, f_measure: 0.8775, kappa: 0.4032, kb_relative_information_score: 12.0605, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8739, predictive_accuracy: 0.8889, prior_entropy: 0.5802, recall: 0.8889, relative_absolute_error: 0.6507, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.9497, scimark_benchmark: 1189.3734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.8775, kappa: 0.4032, kb_relative_information_score: 7.3833, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8739, predictive_accuracy: 0.8889, prior_entropy: 0.5802, recall: 0.8889, relative_absolute_error: 0.7644, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.8955, scimark_benchmark: 1323.7742, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.9125, kappa: 0.5737, kb_relative_information_score: 22.8286, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.9144, predictive_accuracy: 0.9206, prior_entropy: 0.5802, recall: 0.9206, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.8807, scimark_benchmark: 1305.7138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.8541, kappa: 0.2717, kb_relative_information_score: 18.4674, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8477, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3395, root_relative_squared_error: 1.0189, scimark_benchmark: 1349.1028, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.8541, kappa: 0.2717, kb_relative_information_score: 20.4533, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8477, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.5373, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.9884, scimark_benchmark: 1334.2813, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.8988, kappa: 0.5191, kb_relative_information_score: 24.4843, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8964, predictive_accuracy: 0.9048, prior_entropy: 0.5802, recall: 0.9048, relative_absolute_error: 0.5407, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.8651, scimark_benchmark: 1353.1963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, f_measure: 0.8541, kappa: 0.2717, kb_relative_information_score: 11.7936, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8477, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3487, root_relative_squared_error: 1.0466, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.8833, kappa: 0.5281, kb_relative_information_score: 18.297, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.9023, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3431, root_relative_squared_error: 1.0299, scimark_benchmark: 1339.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.8775, kappa: 0.4032, kb_relative_information_score: 22.7045, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8739, predictive_accuracy: 0.8889, prior_entropy: 0.5802, recall: 0.8889, relative_absolute_error: 0.4825, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3333, root_relative_squared_error: 1.0005, scimark_benchmark: 1319.9329, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7341, f_measure: 0.8661, kappa: 0.3163, kb_relative_information_score: 10.9038, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8704, predictive_accuracy: 0.8889, prior_entropy: 0.5802, recall: 0.8889, relative_absolute_error: 0.7674, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.29, root_relative_squared_error: 0.8705, scimark_benchmark: 1313.9606, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.807, kappa: 0.1978, kb_relative_information_score: -8.3996, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8237, predictive_accuracy: 0.7937, prior_entropy: 0.5802, recall: 0.7937, relative_absolute_error: 0.8809, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.4474, root_relative_squared_error: 1.3428, scimark_benchmark: 1328.4045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.9125, kappa: 0.5737, kb_relative_information_score: 33.2784, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.9144, predictive_accuracy: 0.9206, prior_entropy: 0.5802, recall: 0.9206, relative_absolute_error: 0.3446, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.8456, scimark_benchmark: 1334.8495, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5352, f_measure: 0.8541, kappa: 0.2717, kb_relative_information_score: 6.5989, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8477, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3411, root_relative_squared_error: 1.0238, scimark_benchmark: 1329.4984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5727, f_measure: 0.8775, kappa: 0.4032, kb_relative_information_score: 17.4806, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8739, predictive_accuracy: 0.8889, prior_entropy: 0.5802, recall: 0.8889, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.9667, scimark_benchmark: 1337.8431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, f_measure: 0.927, kappa: 0.6358, kb_relative_information_score: 32.2072, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.9408, predictive_accuracy: 0.9365, prior_entropy: 0.5802, recall: 0.9365, relative_absolute_error: 0.4458, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.248, root_relative_squared_error: 0.7443, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.8988, kappa: 0.5191, kb_relative_information_score: 23.9373, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8964, predictive_accuracy: 0.9048, prior_entropy: 0.5802, recall: 0.9048, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.9289, scimark_benchmark: 1333.1945, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.8661, kappa: 0.3163, kb_relative_information_score: 13.3951, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8704, predictive_accuracy: 0.8889, prior_entropy: 0.5802, recall: 0.8889, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.8772, scimark_benchmark: 1276.5165, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.9092, kappa: 0.6119, kb_relative_information_score: 25.6493, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.9163, predictive_accuracy: 0.9048, prior_entropy: 0.5802, recall: 0.9048, relative_absolute_error: 0.4227, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3, root_relative_squared_error: 0.9003, scimark_benchmark: 1363.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.8651, kappa: 0.3588, kb_relative_information_score: 15.4102, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8599, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.6066, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3506, root_relative_squared_error: 1.0524, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.8607, kappa: 0.3884, kb_relative_information_score: -101.6559, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8648, predictive_accuracy: 0.8571, prior_entropy: 0.5802, recall: 0.8571, relative_absolute_error: 1.6315, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.2861, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.8607, kappa: 0.3884, kb_relative_information_score: -101.6559, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8648, predictive_accuracy: 0.8571, prior_entropy: 0.5802, recall: 0.8571, relative_absolute_error: 1.6315, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.2861, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3739, f_measure: 0.8138, kb_relative_information_score: -2.7015, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.7622, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3344, root_relative_squared_error: 1.0039, scimark_benchmark: 1321.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.8906, kappa: 0.4538, kb_relative_information_score: 21.6311, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8943, predictive_accuracy: 0.9048, prior_entropy: 0.5802, recall: 0.9048, relative_absolute_error: 0.583, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.9085, scimark_benchmark: 938.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6057, f_measure: 0.8775, kappa: 0.4032, kb_relative_information_score: 12.0605, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8739, predictive_accuracy: 0.8889, prior_entropy: 0.5802, recall: 0.8889, relative_absolute_error: 0.6507, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.9497, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, f_measure: 0.8661, kappa: 0.3163, kb_relative_information_score: 15.3616, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8704, predictive_accuracy: 0.8889, prior_entropy: 0.5802, recall: 0.8889, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.992, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, f_measure: 0.8278, kappa: 0.1209, kb_relative_information_score: 1.0731, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8135, predictive_accuracy: 0.8571, prior_entropy: 0.5802, recall: 0.8571, relative_absolute_error: 0.8742, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3638, root_relative_squared_error: 1.092, scimark_benchmark: 1363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.8059, kappa: -0.029, kb_relative_information_score: 10.6338, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.7604, predictive_accuracy: 0.8571, prior_entropy: 0.5802, recall: 0.8571, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.8862, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.8059, kappa: -0.029, kb_relative_information_score: 10.5823, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.7604, predictive_accuracy: 0.8571, prior_entropy: 0.5802, recall: 0.8571, relative_absolute_error: 0.8013, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.8994, scimark_benchmark: 1320.2556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.8775, kappa: 0.4032, kb_relative_information_score: 15.0699, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8739, predictive_accuracy: 0.8889, prior_entropy: 0.5802, recall: 0.8889, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.9737, scimark_benchmark: 1404.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.8906, kappa: 0.4538, kb_relative_information_score: 14.6206, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8943, predictive_accuracy: 0.9048, prior_entropy: 0.5802, recall: 0.9048, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.866, scimark_benchmark: 929.0363, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.8775, kappa: 0.4032, kb_relative_information_score: 13.563, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8739, predictive_accuracy: 0.8889, prior_entropy: 0.5802, recall: 0.8889, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.8754, scimark_benchmark: 1331.6907, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.8651, kappa: 0.3588, kb_relative_information_score: 13.6369, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8599, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.9054, scimark_benchmark: 1339.3974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.8651, kappa: 0.3588, kb_relative_information_score: 11.7936, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8599, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3511, root_relative_squared_error: 1.0539, scimark_benchmark: 918.6005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.8651, kappa: 0.3588, kb_relative_information_score: 17.4177, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8599, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.3563, root_relative_squared_error: 1.0696, scimark_benchmark: 1250.8301, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.8651, kappa: 0.3588, kb_relative_information_score: 18.0689, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.2303, number_of_instances: 63, precision: 0.8599, predictive_accuracy: 0.873, prior_entropy: 0.5802, recall: 0.873, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.3332, root_mean_squared_error: 0.347, root_relative_squared_error: 1.0417, scimark_benchmark: 825.5282, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

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