OpenML
Supervised Classification on sleuth_ex2016

Supervised Classification on sleuth_ex2016

Task 3575 Supervised Classification sleuth_ex2016 468 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.7212, kappa: 0.4219, kb_relative_information_score: 26.7811, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7215, predictive_accuracy: 0.7241, prior_entropy: 0.9794, recall: 0.7241, relative_absolute_error: 0.709, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4533, root_relative_squared_error: 0.9203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.7038, kappa: 0.3851, kb_relative_information_score: 21.5232, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7113, predictive_accuracy: 0.7126, prior_entropy: 0.9794, recall: 0.7126, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.8927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.6767, kappa: 0.3311, kb_relative_information_score: 16.5152, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6759, predictive_accuracy: 0.6782, prior_entropy: 0.9794, recall: 0.6782, relative_absolute_error: 0.8215, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.6805, kappa: 0.3525, kb_relative_information_score: 16.136, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6892, predictive_accuracy: 0.6782, prior_entropy: 0.9794, recall: 0.6782, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, f_measure: 0.6725, kappa: 0.3199, kb_relative_information_score: 20.5752, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6734, predictive_accuracy: 0.6782, prior_entropy: 0.9794, recall: 0.6782, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.6902, kappa: 0.3629, kb_relative_information_score: 28.3124, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.691, predictive_accuracy: 0.6897, prior_entropy: 0.9794, recall: 0.6897, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.7241, kappa: 0.4314, kb_relative_information_score: 37.2555, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7241, predictive_accuracy: 0.7241, prior_entropy: 0.9794, recall: 0.7241, relative_absolute_error: 0.5656, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5061, root_relative_squared_error: 1.0275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7212, kappa: 0.4219, kb_relative_information_score: 35.8837, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7215, predictive_accuracy: 0.7241, prior_entropy: 0.9794, recall: 0.7241, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.442, root_relative_squared_error: 0.8975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.7471, kappa: 0.4788, kb_relative_information_score: 17.9973, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7471, predictive_accuracy: 0.7471, prior_entropy: 0.9794, recall: 0.7471, relative_absolute_error: 0.8231, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.8996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.6959, kappa: 0.3685, kb_relative_information_score: 18.3452, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6975, predictive_accuracy: 0.7011, prior_entropy: 0.9794, recall: 0.7011, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.9068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7374, kappa: 0.466, kb_relative_information_score: 37.8013, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.744, predictive_accuracy: 0.7356, prior_entropy: 0.9794, recall: 0.7356, relative_absolute_error: 0.5629, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.6959, kappa: 0.3685, kb_relative_information_score: 18.3452, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6975, predictive_accuracy: 0.7011, prior_entropy: 0.9794, recall: 0.7011, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.9068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.6552, kappa: 0.2892, kb_relative_information_score: 15.9519, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6552, predictive_accuracy: 0.6552, prior_entropy: 0.9794, recall: 0.6552, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7427, kappa: 0.4657, kb_relative_information_score: 33.5501, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7457, predictive_accuracy: 0.7471, prior_entropy: 0.9794, recall: 0.7471, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.7011, kappa: 0.384, kb_relative_information_score: 20.5385, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9794, recall: 0.7011, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7337, kappa: 0.4483, kb_relative_information_score: 17.3008, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7335, predictive_accuracy: 0.7356, prior_entropy: 0.9794, recall: 0.7356, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4583, f_measure: 0.4333, kb_relative_information_score: -0.1338, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.3436, predictive_accuracy: 0.5862, prior_entropy: 0.9794, recall: 0.5862, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4929, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.6642, kappa: 0.3044, kb_relative_information_score: 21.3958, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6633, predictive_accuracy: 0.6667, prior_entropy: 0.9794, recall: 0.6667, relative_absolute_error: 0.7637, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.769, kappa: 0.5222, kb_relative_information_score: 21.9845, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7688, predictive_accuracy: 0.7701, prior_entropy: 0.9794, recall: 0.7701, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.769, kappa: 0.5222, kb_relative_information_score: 21.9845, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7688, predictive_accuracy: 0.7701, prior_entropy: 0.9794, recall: 0.7701, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6318, f_measure: 0.6683, kappa: 0.3212, kb_relative_information_score: 22.2413, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6715, predictive_accuracy: 0.6667, prior_entropy: 0.9794, recall: 0.6667, relative_absolute_error: 0.7501, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5469, root_relative_squared_error: 1.1104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.6959, kappa: 0.3685, kb_relative_information_score: 20.9368, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6975, predictive_accuracy: 0.7011, prior_entropy: 0.9794, recall: 0.7011, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7319, kappa: 0.4437, kb_relative_information_score: 35.9576, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7333, predictive_accuracy: 0.7356, prior_entropy: 0.9794, recall: 0.7356, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.738, kappa: 0.4566, kb_relative_information_score: 41.0567, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7508, predictive_accuracy: 0.7471, prior_entropy: 0.9794, recall: 0.7471, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.6933, kappa: 0.3632, kb_relative_information_score: 20.7243, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6981, predictive_accuracy: 0.7011, prior_entropy: 0.9794, recall: 0.7011, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6318, f_measure: 0.6683, kappa: 0.3212, kb_relative_information_score: 22.2413, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6715, predictive_accuracy: 0.6667, prior_entropy: 0.9794, recall: 0.6667, relative_absolute_error: 0.7501, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5469, root_relative_squared_error: 1.1104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.6536, kappa: 0.2834, kb_relative_information_score: 17.109, mean_absolute_error: 0.3949, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6526, predictive_accuracy: 0.6552, prior_entropy: 0.9794, recall: 0.6552, relative_absolute_error: 0.8134, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.689, kappa: 0.3577, kb_relative_information_score: 21.995, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6885, predictive_accuracy: 0.6897, prior_entropy: 0.9794, recall: 0.6897, relative_absolute_error: 0.7688, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.8759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.616, f_measure: 0.6344, kappa: 0.2461, kb_relative_information_score: 24.3808, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6511, predictive_accuracy: 0.6552, prior_entropy: 0.9794, recall: 0.6552, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5872, root_relative_squared_error: 1.1923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.616, f_measure: 0.6344, kappa: 0.2461, kb_relative_information_score: 24.3808, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6511, predictive_accuracy: 0.6552, prior_entropy: 0.9794, recall: 0.6552, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5872, root_relative_squared_error: 1.1923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6721, f_measure: 0.5997, kappa: 0.1808, kb_relative_information_score: 15.9722, mean_absolute_error: 0.3933, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.603, predictive_accuracy: 0.5977, prior_entropy: 0.9794, recall: 0.5977, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.6933, kappa: 0.3632, kb_relative_information_score: 20.7243, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6981, predictive_accuracy: 0.7011, prior_entropy: 0.9794, recall: 0.7011, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.712, kappa: 0.4053, kb_relative_information_score: 15.8988, mean_absolute_error: 0.4099, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7116, predictive_accuracy: 0.7126, prior_entropy: 0.9794, recall: 0.7126, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.6904, kappa: 0.3578, kb_relative_information_score: 20.2856, mean_absolute_error: 0.3816, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6997, predictive_accuracy: 0.7011, prior_entropy: 0.9794, recall: 0.7011, relative_absolute_error: 0.7861, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.6115, kappa: 0.2074, kb_relative_information_score: 16.0428, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6164, predictive_accuracy: 0.6092, prior_entropy: 0.9794, recall: 0.6092, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6251, root_relative_squared_error: 1.2693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6782, kappa: 0.3366, kb_relative_information_score: 28.5498, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6782, predictive_accuracy: 0.6782, prior_entropy: 0.9794, recall: 0.6782, relative_absolute_error: 0.6629, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.1519, scimark_benchmark: 1697.6783, usercpu_time_millis: 1578.125, usercpu_time_millis_training: 1578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4333, kb_relative_information_score: 11.8739, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.3436, predictive_accuracy: 0.5862, prior_entropy: 0.9794, recall: 0.5862, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6433, root_relative_squared_error: 1.3061, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.7361, kappa: 0.4573, kb_relative_information_score: 38.9722, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7368, predictive_accuracy: 0.7356, prior_entropy: 0.9794, recall: 0.7356, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5142, root_relative_squared_error: 1.044, scimark_benchmark: 1862.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4333, kb_relative_information_score: 11.8739, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.3436, predictive_accuracy: 0.5862, prior_entropy: 0.9794, recall: 0.5862, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6433, root_relative_squared_error: 1.3061, scimark_benchmark: 1349.4932, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4333, kb_relative_information_score: 11.8739, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.3436, predictive_accuracy: 0.5862, prior_entropy: 0.9794, recall: 0.5862, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6433, root_relative_squared_error: 1.3061, scimark_benchmark: 1382.2435, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.7361, kappa: 0.4573, kb_relative_information_score: 38.9722, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7368, predictive_accuracy: 0.7356, prior_entropy: 0.9794, recall: 0.7356, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5142, root_relative_squared_error: 1.044, scimark_benchmark: 1383.5306, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6782, kappa: 0.3366, kb_relative_information_score: 28.5498, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6782, predictive_accuracy: 0.6782, prior_entropy: 0.9794, recall: 0.6782, relative_absolute_error: 0.6629, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.1519, scimark_benchmark: 1613.9802, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7162, f_measure: 0.7148, kappa: 0.4241, kb_relative_information_score: 29.1958, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7261, predictive_accuracy: 0.7126, prior_entropy: 0.9794, recall: 0.7126, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0093, scimark_benchmark: 1918.4916, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.7022, kappa: 0.389, kb_relative_information_score: 31.0043, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.704, predictive_accuracy: 0.7011, prior_entropy: 0.9794, recall: 0.7011, relative_absolute_error: 0.6408, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0187, scimark_benchmark: 1918.4916, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.7677, kappa: 0.5183, kb_relative_information_score: 45.2257, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7687, predictive_accuracy: 0.7701, prior_entropy: 0.9794, recall: 0.7701, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4795, root_relative_squared_error: 0.9735, scimark_benchmark: 1427.64, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7591, kappa: 0.5045, kb_relative_information_score: 43.0379, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7597, predictive_accuracy: 0.7586, prior_entropy: 0.9794, recall: 0.7586, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.8789, scimark_benchmark: 1359.7412, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.7361, kappa: 0.4573, kb_relative_information_score: 33.6764, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7368, predictive_accuracy: 0.7356, prior_entropy: 0.9794, recall: 0.7356, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9332, scimark_benchmark: 1255.8196, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.6933, kappa: 0.3632, kb_relative_information_score: 20.7243, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6981, predictive_accuracy: 0.7011, prior_entropy: 0.9794, recall: 0.7011, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9188, scimark_benchmark: 1412.8887, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.738, kappa: 0.4566, kb_relative_information_score: 41.0567, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7508, predictive_accuracy: 0.7471, prior_entropy: 0.9794, recall: 0.7471, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.021, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.6801, kappa: 0.3473, kb_relative_information_score: 28.5498, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6848, predictive_accuracy: 0.6782, prior_entropy: 0.9794, recall: 0.6782, relative_absolute_error: 0.6629, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.1519, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.7262, kappa: 0.4494, kb_relative_information_score: 30.4473, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7405, predictive_accuracy: 0.7241, prior_entropy: 0.9794, recall: 0.7241, relative_absolute_error: 0.657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9876, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.748, kappa: 0.483, kb_relative_information_score: 32.7179, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7497, predictive_accuracy: 0.7471, prior_entropy: 0.9794, recall: 0.7471, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.888, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.7361, kappa: 0.4573, kb_relative_information_score: 38.2158, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7368, predictive_accuracy: 0.7356, prior_entropy: 0.9794, recall: 0.7356, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0312, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.7677, kappa: 0.5183, kb_relative_information_score: 38.8116, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7687, predictive_accuracy: 0.7701, prior_entropy: 0.9794, recall: 0.7701, relative_absolute_error: 0.5555, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9189, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.6572, kappa: 0.3006, kb_relative_information_score: 14.3805, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.662, predictive_accuracy: 0.6552, prior_entropy: 0.9794, recall: 0.6552, relative_absolute_error: 0.853, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.0334, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.7033, kappa: 0.3987, kb_relative_information_score: 19.581, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7121, predictive_accuracy: 0.7011, prior_entropy: 0.9794, recall: 0.7011, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9601, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.7351, kappa: 0.4528, kb_relative_information_score: 24.4954, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7347, predictive_accuracy: 0.7356, prior_entropy: 0.9794, recall: 0.7356, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8497, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, f_measure: 0.6725, kappa: 0.3199, kb_relative_information_score: 20.5752, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6734, predictive_accuracy: 0.6782, prior_entropy: 0.9794, recall: 0.6782, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9232, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.6461, kappa: 0.2802, kb_relative_information_score: 18.0723, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6527, predictive_accuracy: 0.6437, prior_entropy: 0.9794, recall: 0.6437, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5675, root_relative_squared_error: 1.1522, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.6933, kappa: 0.3632, kb_relative_information_score: 20.7243, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6981, predictive_accuracy: 0.7011, prior_entropy: 0.9794, recall: 0.7011, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9188, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.738, kappa: 0.4566, kb_relative_information_score: 41.0567, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7508, predictive_accuracy: 0.7471, prior_entropy: 0.9794, recall: 0.7471, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.021, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.6801, kappa: 0.3473, kb_relative_information_score: 28.5498, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6848, predictive_accuracy: 0.6782, prior_entropy: 0.9794, recall: 0.6782, relative_absolute_error: 0.6629, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.1519, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.7262, kappa: 0.4494, kb_relative_information_score: 30.4473, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7405, predictive_accuracy: 0.7241, prior_entropy: 0.9794, recall: 0.7241, relative_absolute_error: 0.657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9876, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.748, kappa: 0.483, kb_relative_information_score: 32.7179, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7497, predictive_accuracy: 0.7471, prior_entropy: 0.9794, recall: 0.7471, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.888, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.7361, kappa: 0.4573, kb_relative_information_score: 38.2158, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7368, predictive_accuracy: 0.7356, prior_entropy: 0.9794, recall: 0.7356, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0312, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.7677, kappa: 0.5183, kb_relative_information_score: 38.8116, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7687, predictive_accuracy: 0.7701, prior_entropy: 0.9794, recall: 0.7701, relative_absolute_error: 0.5555, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9189, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.6572, kappa: 0.3006, kb_relative_information_score: 14.3805, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.662, predictive_accuracy: 0.6552, prior_entropy: 0.9794, recall: 0.6552, relative_absolute_error: 0.853, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.0334, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.7033, kappa: 0.3987, kb_relative_information_score: 19.581, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7121, predictive_accuracy: 0.7011, prior_entropy: 0.9794, recall: 0.7011, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9601, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.7351, kappa: 0.4528, kb_relative_information_score: 24.4954, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7347, predictive_accuracy: 0.7356, prior_entropy: 0.9794, recall: 0.7356, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8497, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, f_measure: 0.6725, kappa: 0.3199, kb_relative_information_score: 20.5752, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6734, predictive_accuracy: 0.6782, prior_entropy: 0.9794, recall: 0.6782, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9232, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.6461, kappa: 0.2802, kb_relative_information_score: 18.0723, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6527, predictive_accuracy: 0.6437, prior_entropy: 0.9794, recall: 0.6437, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5675, root_relative_squared_error: 1.1522, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7677, kappa: 0.5183, kb_relative_information_score: 38.606, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7687, predictive_accuracy: 0.7701, prior_entropy: 0.9794, recall: 0.7701, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9199, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.7148, kappa: 0.4241, kb_relative_information_score: 29.0073, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7261, predictive_accuracy: 0.7126, prior_entropy: 0.9794, recall: 0.7126, relative_absolute_error: 0.6715, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.0043, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.7132, kappa: 0.4101, kb_relative_information_score: 21.62, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7139, predictive_accuracy: 0.7126, prior_entropy: 0.9794, recall: 0.7126, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.923, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7034, f_measure: 0.7258, kappa: 0.4405, kb_relative_information_score: 21.369, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7304, predictive_accuracy: 0.7241, prior_entropy: 0.9794, recall: 0.7241, relative_absolute_error: 0.7846, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.896, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.7033, kappa: 0.3987, kb_relative_information_score: 18.323, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7121, predictive_accuracy: 0.7011, prior_entropy: 0.9794, recall: 0.7011, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9273, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.6959, kappa: 0.3685, kb_relative_information_score: 17.7131, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6975, predictive_accuracy: 0.7011, prior_entropy: 0.9794, recall: 0.7011, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4495, root_relative_squared_error: 0.9127, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6062, f_measure: 0.6246, kappa: 0.2243, kb_relative_information_score: 22.2963, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6366, predictive_accuracy: 0.6437, prior_entropy: 0.9794, recall: 0.6437, relative_absolute_error: 0.734, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5969, root_relative_squared_error: 1.212, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.738, kappa: 0.4566, kb_relative_information_score: 41.0567, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7508, predictive_accuracy: 0.7471, prior_entropy: 0.9794, recall: 0.7471, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.021, scimark_benchmark: 1308.2992, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.748, kappa: 0.483, kb_relative_information_score: 32.7179, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7497, predictive_accuracy: 0.7471, prior_entropy: 0.9794, recall: 0.7471, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.888, scimark_benchmark: 1064.9547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.6805, kappa: 0.3525, kb_relative_information_score: 16.136, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6892, predictive_accuracy: 0.6782, prior_entropy: 0.9794, recall: 0.6782, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9875, scimark_benchmark: 1174.3226, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.6768, kappa: 0.3302, kb_relative_information_score: 21.6945, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6879, predictive_accuracy: 0.6897, prior_entropy: 0.9794, recall: 0.6897, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.904, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.7553, kappa: 0.4921, kb_relative_information_score: 25.6674, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7571, predictive_accuracy: 0.7586, prior_entropy: 0.9794, recall: 0.7586, relative_absolute_error: 0.7373, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.924, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.6787, kappa: 0.3409, kb_relative_information_score: 27.1223, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7128, predictive_accuracy: 0.7011, prior_entropy: 0.9794, recall: 0.7011, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9877, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.687, kappa: 0.3522, kb_relative_information_score: 13.9705, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7025, predictive_accuracy: 0.7011, prior_entropy: 0.9794, recall: 0.7011, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9225, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.7581, kappa: 0.5004, kb_relative_information_score: 24.0106, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7578, predictive_accuracy: 0.7586, prior_entropy: 0.9794, recall: 0.7586, relative_absolute_error: 0.7637, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.8979, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.6642, kappa: 0.3044, kb_relative_information_score: 21.3958, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6633, predictive_accuracy: 0.6667, prior_entropy: 0.9794, recall: 0.6667, relative_absolute_error: 0.7637, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.891, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.6697, kappa: 0.3142, kb_relative_information_score: 28.5498, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6734, predictive_accuracy: 0.6782, prior_entropy: 0.9794, recall: 0.6782, relative_absolute_error: 0.6629, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.1519, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.6801, kappa: 0.3473, kb_relative_information_score: 28.5498, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6848, predictive_accuracy: 0.6782, prior_entropy: 0.9794, recall: 0.6782, relative_absolute_error: 0.6629, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.1519, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.7369, kappa: 0.4617, kb_relative_information_score: 21.7627, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7399, predictive_accuracy: 0.7356, prior_entropy: 0.9794, recall: 0.7356, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8924, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.7033, kappa: 0.3987, kb_relative_information_score: 19.581, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7121, predictive_accuracy: 0.7011, prior_entropy: 0.9794, recall: 0.7011, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9601, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.6959, kappa: 0.3685, kb_relative_information_score: 17.5061, mean_absolute_error: 0.3978, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6975, predictive_accuracy: 0.7011, prior_entropy: 0.9794, recall: 0.7011, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9181, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, f_measure: 0.6725, kappa: 0.3199, kb_relative_information_score: 20.5752, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6734, predictive_accuracy: 0.6782, prior_entropy: 0.9794, recall: 0.6782, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9232, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.7486, kappa: 0.4871, kb_relative_information_score: 22.9622, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7533, predictive_accuracy: 0.7471, prior_entropy: 0.9794, recall: 0.7471, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8766, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6318, f_measure: 0.6683, kappa: 0.3212, kb_relative_information_score: 22.2413, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6715, predictive_accuracy: 0.6667, prior_entropy: 0.9794, recall: 0.6667, relative_absolute_error: 0.7501, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5469, root_relative_squared_error: 1.1104, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.769, kappa: 0.5222, kb_relative_information_score: 24.8759, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7688, predictive_accuracy: 0.7701, prior_entropy: 0.9794, recall: 0.7701, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9263, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.689, kappa: 0.3577, kb_relative_information_score: 21.995, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.6885, predictive_accuracy: 0.6897, prior_entropy: 0.9794, recall: 0.6897, relative_absolute_error: 0.7688, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.8759, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.7553, kappa: 0.4921, kb_relative_information_score: 26.1644, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7571, predictive_accuracy: 0.7586, prior_entropy: 0.9794, recall: 0.7586, relative_absolute_error: 0.7302, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9224, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.7361, kappa: 0.4573, kb_relative_information_score: 38.2158, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.4855, number_of_instances: 87, precision: 0.7368, predictive_accuracy: 0.7356, prior_entropy: 0.9794, recall: 0.7356, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0312, scimark_benchmark: 1838.8826,

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