OpenML
Supervised Classification on sleuth_ex2016

Supervised Classification on sleuth_ex2016

Task 3726 Supervised Classification sleuth_ex2016 506 runs submitted
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  • mythbusting_1 study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.6897, kappa: 0.3791, kb_relative_information_score: 33.3649, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.69, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9529, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 1333.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.6782, kappa: 0.3556, kb_relative_information_score: 25.729, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6782, predictive_accuracy: 0.6782, prior_entropy: 0.9992, recall: 0.6782, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.8953, scimark_benchmark: 1332.7986, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.6418, kappa: 0.2837, kb_relative_information_score: 21.1224, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6442, predictive_accuracy: 0.6437, prior_entropy: 0.9992, recall: 0.6437, relative_absolute_error: 0.7675, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0118, scimark_benchmark: 1316.5396, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.7045, kappa: 0.4186, kb_relative_information_score: 36.9147, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7307, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5361, root_relative_squared_error: 1.0728, scimark_benchmark: 1334.863, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.6897, kappa: 0.3791, kb_relative_information_score: 33.3649, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.69, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9529, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.6418, kappa: 0.2837, kb_relative_information_score: 21.1224, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6442, predictive_accuracy: 0.6437, prior_entropy: 0.9992, recall: 0.6437, relative_absolute_error: 0.7675, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0118, scimark_benchmark: 1358.6198, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.7111, kappa: 0.4223, kb_relative_information_score: 30.248, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7144, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9233, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.71, kappa: 0.4214, kb_relative_information_score: 28.3205, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7167, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.6969, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8649, scimark_benchmark: 1346.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.6092, kappa: 0.2175, kb_relative_information_score: 19.4792, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6092, predictive_accuracy: 0.6092, prior_entropy: 0.9992, recall: 0.6092, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5387, root_relative_squared_error: 1.0781, scimark_benchmark: 1325.3966, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.6897, kappa: 0.38, kb_relative_information_score: 25.0374, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6913, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.7324, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9041, scimark_benchmark: 1342.2845, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.6897, kappa: 0.3791, kb_relative_information_score: 33.3649, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.69, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9529, scimark_benchmark: 1371.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 1306.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 1335.2021, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.6895, kappa: 0.3781, kb_relative_information_score: 27.4514, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6895, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8508, scimark_benchmark: 1371.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.6782, kappa: 0.3556, kb_relative_information_score: 25.729, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6782, predictive_accuracy: 0.6782, prior_entropy: 0.9992, recall: 0.6782, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.8953, scimark_benchmark: 940.3347, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.6418, kappa: 0.2837, kb_relative_information_score: 21.1224, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6442, predictive_accuracy: 0.6437, prior_entropy: 0.9992, recall: 0.6437, relative_absolute_error: 0.7675, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0118, scimark_benchmark: 1342.4614, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.7111, kappa: 0.4223, kb_relative_information_score: 30.248, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7144, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9233, scimark_benchmark: 1318.3027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.6092, kappa: 0.2175, kb_relative_information_score: 19.4792, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6092, predictive_accuracy: 0.6092, prior_entropy: 0.9992, recall: 0.6092, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5387, root_relative_squared_error: 1.0781, scimark_benchmark: 1299.6719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 1325.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.7045, kappa: 0.4186, kb_relative_information_score: 36.9147, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7307, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5361, root_relative_squared_error: 1.0728, scimark_benchmark: 1333.3065, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.6895, kappa: 0.3781, kb_relative_information_score: 27.4514, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6895, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8508, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.6308, kappa: 0.2611, kb_relative_information_score: 26.1272, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6321, predictive_accuracy: 0.6322, prior_entropy: 0.9992, recall: 0.6322, relative_absolute_error: 0.7149, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8659, scimark_benchmark: 1278.6629, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.6782, kappa: 0.3556, kb_relative_information_score: 25.729, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6782, predictive_accuracy: 0.6782, prior_entropy: 0.9992, recall: 0.6782, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.8953, scimark_benchmark: 1341.5795, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.6897, kappa: 0.3791, kb_relative_information_score: 33.3649, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.69, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9529, scimark_benchmark: 918.0213,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.7221, kappa: 0.445, kb_relative_information_score: 22.7806, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7272, predictive_accuracy: 0.7241, prior_entropy: 0.9992, recall: 0.7241, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8483, scimark_benchmark: 1328.8457, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.712, kappa: 0.4232, kb_relative_information_score: 22.8119, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.713, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.7717, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8511, scimark_benchmark: 1327.2954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.6777, kappa: 0.3545, kb_relative_information_score: 29.8572, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.678, predictive_accuracy: 0.6782, prior_entropy: 0.9992, recall: 0.6782, relative_absolute_error: 0.6607, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5159, root_relative_squared_error: 1.0324, scimark_benchmark: 1354.7191, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, f_measure: 0.6438, kappa: 0.2871, kb_relative_information_score: 28.774, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.644, predictive_accuracy: 0.6437, prior_entropy: 0.9992, recall: 0.6437, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9993, scimark_benchmark: 1318.8785, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.6547, kappa: 0.3084, kb_relative_information_score: 26.4067, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.655, predictive_accuracy: 0.6552, prior_entropy: 0.9992, recall: 0.6552, relative_absolute_error: 0.7029, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9472, scimark_benchmark: 1332.6143, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.6889, kappa: 0.3771, kb_relative_information_score: 26.4133, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6898, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.7219, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8375, scimark_benchmark: 1314.9535, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.6895, kappa: 0.3781, kb_relative_information_score: 27.0668, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6895, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.7152, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8408, scimark_benchmark: 1310.6407, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.7045, kappa: 0.4186, kb_relative_information_score: 36.9147, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7307, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5361, root_relative_squared_error: 1.0728, scimark_benchmark: 1449.4352, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6196, f_measure: 0.6428, kappa: 0.2848, kb_relative_information_score: 17.4785, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6435, predictive_accuracy: 0.6437, prior_entropy: 0.9992, recall: 0.6437, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5383, root_relative_squared_error: 1.0772, scimark_benchmark: 1360.2771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.7111, kappa: 0.4223, kb_relative_information_score: 30.248, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7144, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9233, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.77, kappa: 0.5411, kb_relative_information_score: 42.2581, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7731, predictive_accuracy: 0.7701, prior_entropy: 0.9992, recall: 0.7701, relative_absolute_error: 0.5216, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8826, scimark_benchmark: 1330.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.6777, kappa: 0.3545, kb_relative_information_score: 24.0636, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.678, predictive_accuracy: 0.6782, prior_entropy: 0.9992, recall: 0.6782, relative_absolute_error: 0.7519, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8561, scimark_benchmark: 1315.4655, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.6897, kappa: 0.3791, kb_relative_information_score: 24.83, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.69, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9223, scimark_benchmark: 943.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.6424, kappa: 0.2905, kb_relative_information_score: 24.4423, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6495, predictive_accuracy: 0.6437, prior_entropy: 0.9992, recall: 0.6437, relative_absolute_error: 0.7206, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5896, root_relative_squared_error: 1.1799, scimark_benchmark: 1348.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.646, f_measure: 0.6424, kappa: 0.2905, kb_relative_information_score: 24.895, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6495, predictive_accuracy: 0.6437, prior_entropy: 0.9992, recall: 0.6437, relative_absolute_error: 0.7135, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5969, root_relative_squared_error: 1.1946, scimark_benchmark: 1344.7246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.7045, kappa: 0.4186, kb_relative_information_score: 25.747, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7307, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.7273, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4509, root_relative_squared_error: 0.9023, scimark_benchmark: 1329.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, f_measure: 0.6744, kappa: 0.3514, kb_relative_information_score: 22.671, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6823, predictive_accuracy: 0.6782, prior_entropy: 0.9992, recall: 0.6782, relative_absolute_error: 0.7598, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.9711, scimark_benchmark: 915.6729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.6092, kappa: 0.2175, kb_relative_information_score: 19.4792, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6092, predictive_accuracy: 0.6092, prior_entropy: 0.9992, recall: 0.6092, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5387, root_relative_squared_error: 1.0781, scimark_benchmark: 1368.9272, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.712, kappa: 0.4232, kb_relative_information_score: 25.8734, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.713, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.73, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8408, scimark_benchmark: 935.5075, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,

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