Task
Supervised Classification on lupus

Supervised Classification on lupus

Task 3562 Supervised Classification lupus 515 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_73 under100k under1m
Issue #Downvotes for this reason By


Metric:

515 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, build_cpu_time: 0.0171, build_memory: 125179800.5517, f_measure: 0.7477, kappa: 0.4709, kb_relative_information_score: 30.2858, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7644, predictive_accuracy: 0.7586, prior_entropy: 0.9735, recall: 0.7586, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8569, scimark_benchmark: 931.5436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, build_cpu_time: 0.0156, build_memory: 343530766.3448, f_measure: 0.7477, kappa: 0.4709, kb_relative_information_score: 30.2858, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7644, predictive_accuracy: 0.7586, prior_entropy: 0.9735, recall: 0.7586, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8569, scimark_benchmark: 886.6515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, build_cpu_time: 0.0147, build_memory: 152534152.8276, f_measure: 0.7477, kappa: 0.4709, kb_relative_information_score: 30.2858, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7644, predictive_accuracy: 0.7586, prior_entropy: 0.9735, recall: 0.7586, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8569, scimark_benchmark: 942.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, build_cpu_time: 0.0081, build_memory: 166946949.3333, f_measure: 0.7477, kappa: 0.4709, kb_relative_information_score: 30.2858, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7644, predictive_accuracy: 0.7586, prior_entropy: 0.9735, recall: 0.7586, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8569, scimark_benchmark: 942.3781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7566, kappa: 0.4909, kb_relative_information_score: 30.5431, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7564, predictive_accuracy: 0.7586, prior_entropy: 0.9735, recall: 0.7586, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.819, scimark_benchmark: 1264.9916, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.9806, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8612, scimark_benchmark: 1329.5628, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 29.664, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.8625, scimark_benchmark: 1349.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7187, kappa: 0.4098, kb_relative_information_score: 25.4365, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7206, predictive_accuracy: 0.7241, prior_entropy: 0.9735, recall: 0.7241, relative_absolute_error: 0.7197, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9474, scimark_benchmark: 940.3347, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.7528, kappa: 0.4811, kb_relative_information_score: 27.3091, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7576, predictive_accuracy: 0.7586, prior_entropy: 0.9735, recall: 0.7586, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8718, scimark_benchmark: 1335.2021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.9806, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8612, scimark_benchmark: 1330.6748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.9806, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8612, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.8478, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8601, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7566, kappa: 0.4909, kb_relative_information_score: 30.5431, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7564, predictive_accuracy: 0.7586, prior_entropy: 0.9735, recall: 0.7586, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.819, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 29.664, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.8625, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.9806, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8612, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.9806, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8612, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.9806, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8612, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7566, kappa: 0.4909, kb_relative_information_score: 30.5431, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7564, predictive_accuracy: 0.7586, prior_entropy: 0.9735, recall: 0.7586, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.819, scimark_benchmark: 1343.3311, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.8478, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8601, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.7528, kappa: 0.4811, kb_relative_information_score: 27.3091, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7576, predictive_accuracy: 0.7586, prior_entropy: 0.9735, recall: 0.7586, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8718, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.9806, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8612, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 29.664, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.8625, scimark_benchmark: 1340.9446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.4707, kappa: -0.0229, kb_relative_information_score: 8.8397, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.4883, predictive_accuracy: 0.5747, prior_entropy: 0.9735, recall: 0.5747, relative_absolute_error: 0.8836, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6521, root_relative_squared_error: 1.3299, scimark_benchmark: 1312.8274, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.9806, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8612, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.8478, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8601, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.9806, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8612, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7187, kappa: 0.4098, kb_relative_information_score: 25.4365, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7206, predictive_accuracy: 0.7241, prior_entropy: 0.9735, recall: 0.7241, relative_absolute_error: 0.7197, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9474, scimark_benchmark: 1296.8947, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.9806, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8612, scimark_benchmark: 1331.7953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.9806, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8612, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.9806, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8612, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7074, f_measure: 0.6848, kappa: 0.3392, kb_relative_information_score: 19.6441, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6847, predictive_accuracy: 0.6897, prior_entropy: 0.9735, recall: 0.6897, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9366, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.8478, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8601, scimark_benchmark: 1337.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.9806, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8612, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.9806, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8612, scimark_benchmark: 1329.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.7528, kappa: 0.4811, kb_relative_information_score: 27.3091, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7576, predictive_accuracy: 0.7586, prior_entropy: 0.9735, recall: 0.7586, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8718, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.9806, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8612, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7074, f_measure: 0.6848, kappa: 0.3392, kb_relative_information_score: 19.6441, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6847, predictive_accuracy: 0.6897, prior_entropy: 0.9735, recall: 0.6897, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9366, scimark_benchmark: 1314.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.9806, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8612, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.8478, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8601, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.7528, kappa: 0.4811, kb_relative_information_score: 27.3091, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7576, predictive_accuracy: 0.7586, prior_entropy: 0.9735, recall: 0.7586, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8718, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.4707, kappa: -0.0229, kb_relative_information_score: 8.8397, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.4883, predictive_accuracy: 0.5747, prior_entropy: 0.9735, recall: 0.5747, relative_absolute_error: 0.8836, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6521, root_relative_squared_error: 1.3299, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.9806, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8612, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.9806, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8612, scimark_benchmark: 1340.9749, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.9806, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8612, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 29.664, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.8625, scimark_benchmark: 915.9028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7187, kappa: 0.4098, kb_relative_information_score: 25.4365, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7206, predictive_accuracy: 0.7241, prior_entropy: 0.9735, recall: 0.7241, relative_absolute_error: 0.7197, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9474, scimark_benchmark: 949.7766, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.4707, kappa: -0.0229, kb_relative_information_score: 8.8397, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.4883, predictive_accuracy: 0.5747, prior_entropy: 0.9735, recall: 0.5747, relative_absolute_error: 0.8836, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6521, root_relative_squared_error: 1.3299, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.9806, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8612, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.8478, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8601, scimark_benchmark: 1335.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, f_measure: 0.7169, kappa: 0.42, kb_relative_information_score: 28.2072, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7989, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8405, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4497, f_measure: 0.4472, kb_relative_information_score: -0.1823, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.3572, predictive_accuracy: 0.5977, prior_entropy: 0.9735, recall: 0.5977, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4909, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7286, f_measure: 0.7029, kappa: 0.3763, kb_relative_information_score: 26.5473, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7096, predictive_accuracy: 0.7126, prior_entropy: 0.9735, recall: 0.7126, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7286, f_measure: 0.7029, kappa: 0.3763, kb_relative_information_score: 26.5473, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7096, predictive_accuracy: 0.7126, prior_entropy: 0.9735, recall: 0.7126, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4497, f_measure: 0.4472, kb_relative_information_score: -0.1823, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.3572, predictive_accuracy: 0.5977, prior_entropy: 0.9735, recall: 0.5977, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4909, root_relative_squared_error: 1.001, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.734, kappa: 0.443, kb_relative_information_score: 20.9147, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7538, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.7998, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7477, kappa: 0.4709, kb_relative_information_score: 31.3862, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7644, predictive_accuracy: 0.7586, prior_entropy: 0.9735, recall: 0.7586, relative_absolute_error: 0.658, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.7441, kappa: 0.4642, kb_relative_information_score: 40.4819, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7445, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.5254, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0255, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7619, kappa: 0.5067, kb_relative_information_score: 31.164, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.8217, predictive_accuracy: 0.7816, prior_entropy: 0.9735, recall: 0.7816, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7689, kappa: 0.5175, kb_relative_information_score: 34.5496, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7685, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8132, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7119, kappa: 0.3997, kb_relative_information_score: 30.0831, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7114, predictive_accuracy: 0.7126, prior_entropy: 0.9735, recall: 0.7126, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8861, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.7265, kappa: 0.4317, kb_relative_information_score: 33.3865, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7695, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.628, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8161, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.7398, kappa: 0.4538, kb_relative_information_score: 26.6996, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7463, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.7133, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.7441, kappa: 0.4642, kb_relative_information_score: 40.4819, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7445, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.5254, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0255, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7119, kappa: 0.3997, kb_relative_information_score: 30.0711, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7114, predictive_accuracy: 0.7126, prior_entropy: 0.9735, recall: 0.7126, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8853, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.0827, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8586, scimark_benchmark: 931.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.9806, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8612, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7119, kappa: 0.3997, kb_relative_information_score: 30.0831, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7114, predictive_accuracy: 0.7126, prior_entropy: 0.9735, recall: 0.7126, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.7422, kappa: 0.459, kb_relative_information_score: 40.4819, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7447, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.5254, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7764, kappa: 0.5305, kb_relative_information_score: 46.8103, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7821, predictive_accuracy: 0.7816, prior_entropy: 0.9735, recall: 0.7816, relative_absolute_error: 0.4537, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7619, kappa: 0.5067, kb_relative_information_score: 31.164, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.8217, predictive_accuracy: 0.7816, prior_entropy: 0.9735, recall: 0.7816, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.7227, kappa: 0.421, kb_relative_information_score: 24.8821, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.722, predictive_accuracy: 0.7241, prior_entropy: 0.9735, recall: 0.7241, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.9146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7764, kappa: 0.5305, kb_relative_information_score: 46.8103, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7821, predictive_accuracy: 0.7816, prior_entropy: 0.9735, recall: 0.7816, relative_absolute_error: 0.4537, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7362, kappa: 0.4528, kb_relative_information_score: 30.2725, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.737, predictive_accuracy: 0.7356, prior_entropy: 0.9735, recall: 0.7356, relative_absolute_error: 0.6666, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7187, kappa: 0.4098, kb_relative_information_score: 25.4365, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7206, predictive_accuracy: 0.7241, prior_entropy: 0.9735, recall: 0.7241, relative_absolute_error: 0.7197, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, f_measure: 0.7422, kappa: 0.459, kb_relative_information_score: 29.6197, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7447, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.9093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7566, kappa: 0.4909, kb_relative_information_score: 30.5431, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7564, predictive_accuracy: 0.7586, prior_entropy: 0.9735, recall: 0.7586, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.819, scimark_benchmark: 936.2727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7074, f_measure: 0.6848, kappa: 0.3392, kb_relative_information_score: 19.6441, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6847, predictive_accuracy: 0.6897, prior_entropy: 0.9735, recall: 0.6897, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9366, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.6822, kappa: 0.3329, kb_relative_information_score: 25.3844, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6841, predictive_accuracy: 0.6897, prior_entropy: 0.9735, recall: 0.6897, relative_absolute_error: 0.7129, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4769, root_relative_squared_error: 0.9725, scimark_benchmark: 851.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.7422, kappa: 0.459, kb_relative_information_score: 25.6275, mean_absolute_error: 0.3493, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7447, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.7256, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.7689, kappa: 0.5175, kb_relative_information_score: 34.7573, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7685, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.7398, kappa: 0.4538, kb_relative_information_score: 26.3756, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7463, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.924, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.6925, kappa: 0.3545, kb_relative_information_score: 26.5473, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.6966, predictive_accuracy: 0.7011, prior_entropy: 0.9735, recall: 0.7011, relative_absolute_error: 0.6972, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9176, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7599, f_measure: 0.7582, kappa: 0.4936, kb_relative_information_score: 27.2914, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7806, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.7037, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.7689, kappa: 0.5175, kb_relative_information_score: 34.7573, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7685, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.7119, kappa: 0.3997, kb_relative_information_score: 22.1837, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7114, predictive_accuracy: 0.7126, prior_entropy: 0.9735, recall: 0.7126, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7742, f_measure: 0.7202, kappa: 0.4147, kb_relative_information_score: 22.7902, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7431, predictive_accuracy: 0.7356, prior_entropy: 0.9735, recall: 0.7356, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8666, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.7398, kappa: 0.4538, kb_relative_information_score: 42.1522, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7463, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.9081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.6996, kappa: 0.3701, kb_relative_information_score: 27.6218, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7119, predictive_accuracy: 0.7126, prior_entropy: 0.9735, recall: 0.7126, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7514, kappa: 0.4834, kb_relative_information_score: 28.8478, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7994, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8601, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.4707, kappa: -0.0229, kb_relative_information_score: 8.8397, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.4883, predictive_accuracy: 0.5747, prior_entropy: 0.9735, recall: 0.5747, relative_absolute_error: 0.8836, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.6521, root_relative_squared_error: 1.3299, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.7689, kappa: 0.5175, kb_relative_information_score: 44.7009, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7685, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.4776, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4795, root_relative_squared_error: 0.9778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.7689, kappa: 0.5175, kb_relative_information_score: 44.7009, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7685, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.4776, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4795, root_relative_squared_error: 0.9778,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.755, kappa: 0.4885, kb_relative_information_score: 28.9197, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7886, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8661, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.7445, kappa: 0.4656, kb_relative_information_score: 27.024, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7705, predictive_accuracy: 0.7586, prior_entropy: 0.9735, recall: 0.7586, relative_absolute_error: 0.7231, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8854, scimark_benchmark: 1008.2465, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7203, f_measure: 0.7398, kappa: 0.4538, kb_relative_information_score: 27.3451, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7463, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7764, kappa: 0.5305, kb_relative_information_score: 46.8103, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7821, predictive_accuracy: 0.7816, prior_entropy: 0.9735, recall: 0.7816, relative_absolute_error: 0.4537, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.953, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.7619, kappa: 0.5067, kb_relative_information_score: 32.631, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.8217, predictive_accuracy: 0.7816, prior_entropy: 0.9735, recall: 0.7816, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.7422, kappa: 0.459, kb_relative_information_score: 40.4819, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7447, predictive_accuracy: 0.7471, prior_entropy: 0.9735, recall: 0.7471, relative_absolute_error: 0.5254, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0255, scimark_benchmark: 1204.1315, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7689, kappa: 0.5175, kb_relative_information_score: 32.2889, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4813, number_of_instances: 87, precision: 0.7685, predictive_accuracy: 0.7701, prior_entropy: 0.9735, recall: 0.7701, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4904, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8266, scimark_benchmark: 1533.6077,

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