Task
Supervised Classification on fri_c0_100_50

Supervised Classification on fri_c0_100_50

Task 3715 Supervised Classification fri_c0_100_50 559 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, f_measure: 0.6899, kappa: 0.3795, kb_relative_information_score: 25.1149, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.69, predictive_accuracy: 0.69, prior_entropy: 0.9997, recall: 0.69, relative_absolute_error: 0.7771, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.47, root_relative_squared_error: 0.9402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.7096, kappa: 0.4191, kb_relative_information_score: 33.3589, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.7104, predictive_accuracy: 0.71, prior_entropy: 0.9997, recall: 0.71, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.68, kappa: 0.3603, kb_relative_information_score: 34.6152, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6805, predictive_accuracy: 0.68, prior_entropy: 0.9997, recall: 0.68, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.623, f_measure: 0.66, kappa: 0.3203, kb_relative_information_score: 25.0442, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6605, predictive_accuracy: 0.66, prior_entropy: 0.9997, recall: 0.66, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5433, root_relative_squared_error: 1.0868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, f_measure: 0.7283, kappa: 0.4583, kb_relative_information_score: 25.0879, mean_absolute_error: 0.389, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.7339, predictive_accuracy: 0.73, prior_entropy: 0.9997, recall: 0.73, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.8948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.68, kappa: 0.3603, kb_relative_information_score: 34.6152, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6805, predictive_accuracy: 0.68, prior_entropy: 0.9997, recall: 0.68, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7225, f_measure: 0.69, kappa: 0.38, kb_relative_information_score: 27.418, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6902, predictive_accuracy: 0.69, prior_entropy: 0.9997, recall: 0.69, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4797, root_relative_squared_error: 0.9596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, f_measure: 0.6499, kappa: 0.3006, kb_relative_information_score: 27.326, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.651, predictive_accuracy: 0.65, prior_entropy: 0.9997, recall: 0.65, relative_absolute_error: 0.7267, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5743, root_relative_squared_error: 1.1489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.6499, kappa: 0.2994, kb_relative_information_score: 29.0328, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6499, predictive_accuracy: 0.65, prior_entropy: 0.9997, recall: 0.65, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5741, root_relative_squared_error: 1.1484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.6391, kappa: 0.2786, kb_relative_information_score: 24.2404, mean_absolute_error: 0.3828, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6403, predictive_accuracy: 0.64, prior_entropy: 0.9997, recall: 0.64, relative_absolute_error: 0.7658, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.7273, kappa: 0.4622, kb_relative_information_score: 41.0315, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.7428, predictive_accuracy: 0.73, prior_entropy: 0.9997, recall: 0.73, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7296, kappa: 0.4591, kb_relative_information_score: 33.0286, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.7305, predictive_accuracy: 0.73, prior_entropy: 0.9997, recall: 0.73, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.6774, kappa: 0.3577, kb_relative_information_score: 19.6802, mean_absolute_error: 0.4132, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6837, predictive_accuracy: 0.68, prior_entropy: 0.9997, recall: 0.68, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7296, kappa: 0.4591, kb_relative_information_score: 33.0286, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.7305, predictive_accuracy: 0.73, prior_entropy: 0.9997, recall: 0.73, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.6792, kappa: 0.3587, kb_relative_information_score: 31.8583, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6806, predictive_accuracy: 0.68, prior_entropy: 0.9997, recall: 0.68, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7441, f_measure: 0.7198, kappa: 0.4393, kb_relative_information_score: 23.708, mean_absolute_error: 0.3958, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.7201, predictive_accuracy: 0.72, prior_entropy: 0.9997, recall: 0.72, relative_absolute_error: 0.7919, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.62, kappa: 0.2397, kb_relative_information_score: 11.2165, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.62, predictive_accuracy: 0.62, prior_entropy: 0.9997, recall: 0.62, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.482, f_measure: 0.3445, kb_relative_information_score: -0.0572, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.2601, predictive_accuracy: 0.51, prior_entropy: 0.9997, recall: 0.51, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.688, kappa: 0.382, kb_relative_information_score: 30.9123, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6975, predictive_accuracy: 0.69, prior_entropy: 0.9997, recall: 0.69, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.6699, kappa: 0.3395, kb_relative_information_score: 26.4106, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6699, predictive_accuracy: 0.67, prior_entropy: 0.9997, recall: 0.67, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.6699, kappa: 0.3395, kb_relative_information_score: 26.4106, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6699, predictive_accuracy: 0.67, prior_entropy: 0.9997, recall: 0.67, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6357, f_measure: 0.61, kappa: 0.22, kb_relative_information_score: 22.0603, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6102, predictive_accuracy: 0.61, prior_entropy: 0.9997, recall: 0.61, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5946, root_relative_squared_error: 1.1894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.68, kappa: 0.3603, kb_relative_information_score: 34.6677, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6805, predictive_accuracy: 0.68, prior_entropy: 0.9997, recall: 0.68, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.8871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.6495, kappa: 0.2989, kb_relative_information_score: 29.323, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6501, predictive_accuracy: 0.65, prior_entropy: 0.9997, recall: 0.65, relative_absolute_error: 0.707, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5832, root_relative_squared_error: 1.1666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.7697, kappa: 0.5393, kb_relative_information_score: 43.1534, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.7707, predictive_accuracy: 0.77, prior_entropy: 0.9997, recall: 0.77, relative_absolute_error: 0.5933, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.7793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.7096, kappa: 0.4191, kb_relative_information_score: 33.362, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.7104, predictive_accuracy: 0.71, prior_entropy: 0.9997, recall: 0.71, relative_absolute_error: 0.6856, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.76, kappa: 0.5202, kb_relative_information_score: 51.9723, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.7606, predictive_accuracy: 0.76, prior_entropy: 0.9997, recall: 0.76, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.6495, kappa: 0.3011, kb_relative_information_score: 29.8209, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6522, predictive_accuracy: 0.65, prior_entropy: 0.9997, recall: 0.65, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5213, root_relative_squared_error: 1.0429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.6855, kappa: 0.377, kb_relative_information_score: 37.9645, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6983, predictive_accuracy: 0.69, prior_entropy: 0.9997, recall: 0.69, relative_absolute_error: 0.6202, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6357, f_measure: 0.61, kappa: 0.22, kb_relative_information_score: 22.0603, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6102, predictive_accuracy: 0.61, prior_entropy: 0.9997, recall: 0.61, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5946, root_relative_squared_error: 1.1894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.68, kappa: 0.3597, kb_relative_information_score: 12.3336, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.68, predictive_accuracy: 0.68, prior_entropy: 0.9997, recall: 0.68, relative_absolute_error: 0.9012, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.6855, kappa: 0.377, kb_relative_information_score: 37.9645, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6983, predictive_accuracy: 0.69, prior_entropy: 0.9997, recall: 0.69, relative_absolute_error: 0.6202, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.68, kappa: 0.3603, kb_relative_information_score: 34.6677, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6805, predictive_accuracy: 0.68, prior_entropy: 0.9997, recall: 0.68, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.8871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.73, kappa: 0.46, kb_relative_information_score: 17.6104, mean_absolute_error: 0.4275, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.7302, predictive_accuracy: 0.73, prior_entropy: 0.9997, recall: 0.73, relative_absolute_error: 0.8553, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.8984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.566, f_measure: 0.527, kappa: 0.057, kb_relative_information_score: 5.0238, mean_absolute_error: 0.478, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.5293, predictive_accuracy: 0.53, prior_entropy: 0.9997, recall: 0.53, relative_absolute_error: 0.9564, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5598, f_measure: 0.56, kappa: 0.1196, kb_relative_information_score: 11.9501, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.56, predictive_accuracy: 0.56, prior_entropy: 0.9997, recall: 0.56, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6293, f_measure: 0.6294, kappa: 0.2588, kb_relative_information_score: 25.9578, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.63, predictive_accuracy: 0.63, prior_entropy: 0.9997, recall: 0.63, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.74, kappa: 0.4798, kb_relative_information_score: 47.97, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.9997, recall: 0.74, relative_absolute_error: 0.5202, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.02, scimark_benchmark: 1959.6455, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.7594, kappa: 0.521, kb_relative_information_score: 51.9723, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.7644, predictive_accuracy: 0.76, prior_entropy: 0.9997, recall: 0.76, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.98, scimark_benchmark: 1959.6455, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.6699, kappa: 0.3395, kb_relative_information_score: 36.6181, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6699, predictive_accuracy: 0.67, prior_entropy: 0.9997, recall: 0.67, relative_absolute_error: 0.6342, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0526, scimark_benchmark: 1600.5903, usercpu_time_millis: 780, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.7594, kappa: 0.521, kb_relative_information_score: 51.9723, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.7644, predictive_accuracy: 0.76, prior_entropy: 0.9997, recall: 0.76, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.98, scimark_benchmark: 1368.729, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.74, kappa: 0.4798, kb_relative_information_score: 47.97, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.9997, recall: 0.74, relative_absolute_error: 0.5202, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.02, scimark_benchmark: 1372.133, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6293, f_measure: 0.6294, kappa: 0.2588, kb_relative_information_score: 25.9578, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.63, predictive_accuracy: 0.63, prior_entropy: 0.9997, recall: 0.63, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2168, scimark_benchmark: 1384.0011, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, f_measure: 0.66, kappa: 0.3197, kb_relative_information_score: 31.9612, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.66, predictive_accuracy: 0.66, prior_entropy: 0.9997, recall: 0.66, relative_absolute_error: 0.6803, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1664, scimark_benchmark: 1827.4462, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.6667, kappa: 0.3373, kb_relative_information_score: 25.4774, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6745, predictive_accuracy: 0.67, prior_entropy: 0.9997, recall: 0.67, relative_absolute_error: 0.7628, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9254, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.6473, kappa: 0.3148, kb_relative_information_score: 22.7708, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6814, predictive_accuracy: 0.66, prior_entropy: 0.9997, recall: 0.66, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5433, root_relative_squared_error: 1.0869, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.5932, kappa: 0.251, kb_relative_information_score: 20.7867, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6916, predictive_accuracy: 0.63, prior_entropy: 0.9997, recall: 0.63, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.0125, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6937, f_measure: 0.6226, kappa: 0.2558, kb_relative_information_score: 12.2348, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6374, predictive_accuracy: 0.63, prior_entropy: 0.9997, recall: 0.63, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9387, 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: 0.6753, f_measure: 0.6299, kappa: 0.2606, kb_relative_information_score: 20.5935, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6309, predictive_accuracy: 0.63, prior_entropy: 0.9997, recall: 0.63, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.69, kappa: 0.38, kb_relative_information_score: 17.6324, mean_absolute_error: 0.4223, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6902, predictive_accuracy: 0.69, prior_entropy: 0.9997, recall: 0.69, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9389, 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: 0.7101, f_measure: 0.71, kappa: 0.42, kb_relative_information_score: 41.9667, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.7102, predictive_accuracy: 0.71, prior_entropy: 0.9997, recall: 0.71, relative_absolute_error: 0.5802, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.0772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.72, kappa: 0.4398, kb_relative_information_score: 43.9678, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9997, recall: 0.72, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0585, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, f_measure: 0.66, kappa: 0.3203, kb_relative_information_score: 31.9612, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6605, predictive_accuracy: 0.66, prior_entropy: 0.9997, recall: 0.66, relative_absolute_error: 0.6803, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1664, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, f_measure: 0.6495, kappa: 0.2989, kb_relative_information_score: 19.5966, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6501, predictive_accuracy: 0.65, prior_entropy: 0.9997, recall: 0.65, relative_absolute_error: 0.8254, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.0101, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.6197, kappa: 0.2409, kb_relative_information_score: 16.8932, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6214, predictive_accuracy: 0.62, prior_entropy: 0.9997, recall: 0.62, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5246, root_relative_squared_error: 1.0495, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.72, kappa: 0.4398, kb_relative_information_score: 33.1316, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9997, recall: 0.72, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8513, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.68, kappa: 0.3603, kb_relative_information_score: 34.6152, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6805, predictive_accuracy: 0.68, prior_entropy: 0.9997, recall: 0.68, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8885, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7003, f_measure: 0.7, kappa: 0.4002, kb_relative_information_score: 39.9656, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.7006, predictive_accuracy: 0.7, prior_entropy: 0.9997, recall: 0.7, relative_absolute_error: 0.6002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.6895, kappa: 0.379, kb_relative_information_score: 37.9645, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6903, predictive_accuracy: 0.69, prior_entropy: 0.9997, recall: 0.69, relative_absolute_error: 0.6202, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1138,

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