Task
Supervised Classification on plasma_retinol

Supervised Classification on plasma_retinol

Task 3778 Supervised Classification plasma_retinol 549 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5672, f_measure: 0.5545, kappa: 0.0816, kb_relative_information_score: 11.7082, mean_absolute_error: 0.4691, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5535, predictive_accuracy: 0.5651, prior_entropy: 0.9827, recall: 0.5651, relative_absolute_error: 0.9614, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.511, root_relative_squared_error: 1.0347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, f_measure: 0.4914, kappa: 0.0441, kb_relative_information_score: 1.4842, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5672, predictive_accuracy: 0.5841, prior_entropy: 0.9827, recall: 0.5841, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5257, f_measure: 0.4517, kappa: -0.0088, kb_relative_information_score: 0.3211, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.4969, predictive_accuracy: 0.5651, prior_entropy: 0.9827, recall: 0.5651, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4955, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.544, f_measure: 0.5539, kappa: 0.0935, kb_relative_information_score: 43.6647, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5668, predictive_accuracy: 0.5841, prior_entropy: 0.9827, recall: 0.5841, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6449, root_relative_squared_error: 1.3057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5645, f_measure: 0.5748, kappa: 0.1457, kb_relative_information_score: 15.8384, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.6056, predictive_accuracy: 0.6127, prior_entropy: 0.9827, recall: 0.6127, relative_absolute_error: 0.9564, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5066, root_relative_squared_error: 1.0256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5338, f_measure: 0.5204, kappa: 0.0281, kb_relative_information_score: 3.0581, mean_absolute_error: 0.4824, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5289, predictive_accuracy: 0.5556, prior_entropy: 0.9827, recall: 0.5556, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5238, root_relative_squared_error: 1.0606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5626, f_measure: 0.5665, kappa: 0.1066, kb_relative_information_score: 9.6024, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5665, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5499, f_measure: 0.5308, kappa: 0.0596, kb_relative_information_score: 5.3306, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5511, predictive_accuracy: 0.5746, prior_entropy: 0.9827, recall: 0.5746, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5223, f_measure: 0.4608, kappa: 0.0307, kb_relative_information_score: -17.886, mean_absolute_error: 0.5077, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5336, predictive_accuracy: 0.4825, prior_entropy: 0.9827, recall: 0.4825, relative_absolute_error: 1.0404, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5805, root_relative_squared_error: 1.1753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5525, f_measure: 0.5362, kappa: 0.0653, kb_relative_information_score: -0.9686, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5446, predictive_accuracy: 0.5333, prior_entropy: 0.9827, recall: 0.5333, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5271, root_relative_squared_error: 1.0671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5641, f_measure: 0.5607, kappa: 0.0992, kb_relative_information_score: 14.6602, mean_absolute_error: 0.4679, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5658, predictive_accuracy: 0.581, prior_entropy: 0.9827, recall: 0.581, relative_absolute_error: 0.9588, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4846, f_measure: 0.5262, kappa: 0.0276, kb_relative_information_score: -5.5685, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5255, predictive_accuracy: 0.527, prior_entropy: 0.9827, recall: 0.527, relative_absolute_error: 1.0115, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5501, root_relative_squared_error: 1.1138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5344, f_measure: 0.5136, kappa: 0.012, kb_relative_information_score: -1.3404, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.518, predictive_accuracy: 0.5111, prior_entropy: 0.9827, recall: 0.5111, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6508, root_relative_squared_error: 1.3177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5398, f_measure: 0.4608, kappa: 0.0307, kb_relative_information_score: -9.5922, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5336, predictive_accuracy: 0.4825, prior_entropy: 0.9827, recall: 0.4825, relative_absolute_error: 1.016, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5502, root_relative_squared_error: 1.1139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, f_measure: 0.5476, kappa: 0.1018, kb_relative_information_score: 16.2254, mean_absolute_error: 0.466, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5843, predictive_accuracy: 0.5968, prior_entropy: 0.9827, recall: 0.5968, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5123, f_measure: 0.5066, kappa: -0.0164, kb_relative_information_score: -2.1893, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.504, predictive_accuracy: 0.5111, prior_entropy: 0.9827, recall: 0.5111, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6446, root_relative_squared_error: 1.3052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, f_measure: 0.5176, kappa: 0.0612, kb_relative_information_score: 10.5377, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.564, predictive_accuracy: 0.5841, prior_entropy: 0.9827, recall: 0.5841, relative_absolute_error: 0.9721, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5299, f_measure: 0.5482, kappa: 0.0683, kb_relative_information_score: 4.8625, mean_absolute_error: 0.4794, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5462, predictive_accuracy: 0.5556, prior_entropy: 0.9827, recall: 0.5556, relative_absolute_error: 0.9825, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5238, root_relative_squared_error: 1.0605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4878, f_measure: 0.4232, kb_relative_information_score: -0.0579, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.3338, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5589, f_measure: 0.53, kappa: 0.0837, kb_relative_information_score: 39.6749, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5819, predictive_accuracy: 0.5937, prior_entropy: 0.9827, recall: 0.5937, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5761, root_relative_squared_error: 1.1663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.5885, kappa: 0.1517, kb_relative_information_score: 26.8353, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5872, predictive_accuracy: 0.5937, prior_entropy: 0.9827, recall: 0.5937, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, f_measure: 0.5386, kappa: 0.0581, kb_relative_information_score: 2.7973, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5448, predictive_accuracy: 0.5651, prior_entropy: 0.9827, recall: 0.5651, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4878, f_measure: 0.4232, kb_relative_information_score: -0.0579, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.3338, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4878, f_measure: 0.4232, kb_relative_information_score: 0.0239, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.3338, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.509, f_measure: 0.5116, kappa: -0.0047, kb_relative_information_score: 1.4238, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5098, predictive_accuracy: 0.5143, prior_entropy: 0.9827, recall: 0.5143, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.6156, kappa: 0.2073, kb_relative_information_score: 28.3703, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.6156, predictive_accuracy: 0.6222, prior_entropy: 0.9827, recall: 0.6222, relative_absolute_error: 0.9199, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5186, root_relative_squared_error: 1.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.5272, kappa: 0.0315, kb_relative_information_score: 3.1397, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5275, predictive_accuracy: 0.527, prior_entropy: 0.9827, recall: 0.527, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.4608, kappa: 0.0307, kb_relative_information_score: -18.2185, mean_absolute_error: 0.5083, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5336, predictive_accuracy: 0.4825, prior_entropy: 0.9827, recall: 0.4825, relative_absolute_error: 1.0417, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5805, root_relative_squared_error: 1.1753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5375, f_measure: 0.5885, kappa: 0.1517, kb_relative_information_score: 7.5074, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5872, predictive_accuracy: 0.5937, prior_entropy: 0.9827, recall: 0.5937, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.0199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, f_measure: 0.5323, kappa: 0.0898, kb_relative_information_score: 51.9476, mean_absolute_error: 0.4032, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5884, predictive_accuracy: 0.5968, prior_entropy: 0.9827, recall: 0.5968, relative_absolute_error: 0.8262, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.635, root_relative_squared_error: 1.2856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4232, kb_relative_information_score: 39.5233, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.3338, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 0.8652, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, f_measure: 0.5094, kappa: -0.0109, kb_relative_information_score: 12.5921, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5067, predictive_accuracy: 0.5143, prior_entropy: 0.9827, recall: 0.5143, relative_absolute_error: 0.9512, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5445, root_relative_squared_error: 1.1025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.5583, kappa: 0.0893, kb_relative_information_score: 15.151, mean_absolute_error: 0.4659, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5572, predictive_accuracy: 0.5683, prior_entropy: 0.9827, recall: 0.5683, relative_absolute_error: 0.9548, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5384, f_measure: 0.4715, kappa: 0.0267, kb_relative_information_score: -11.7217, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5293, predictive_accuracy: 0.4857, prior_entropy: 0.9827, recall: 0.4857, relative_absolute_error: 1.0224, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5593, root_relative_squared_error: 1.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.538, f_measure: 0.53, kappa: 0.0837, kb_relative_information_score: 49.8769, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5819, predictive_accuracy: 0.5937, prior_entropy: 0.9827, recall: 0.5937, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6375, root_relative_squared_error: 1.2906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.5272, kappa: 0.0315, kb_relative_information_score: 3.1397, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5275, predictive_accuracy: 0.527, prior_entropy: 0.9827, recall: 0.527, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5302, f_measure: 0.5103, kappa: 0.0764, kb_relative_information_score: -7.1937, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5576, predictive_accuracy: 0.5175, prior_entropy: 0.9827, recall: 0.5175, relative_absolute_error: 1.0111, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.54, root_relative_squared_error: 1.0932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.522, f_measure: 0.4648, kappa: 0.0357, kb_relative_information_score: -17.534, mean_absolute_error: 0.5073, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.537, predictive_accuracy: 0.4857, prior_entropy: 0.9827, recall: 0.4857, relative_absolute_error: 1.0396, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5791, root_relative_squared_error: 1.1726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4878, f_measure: 0.4232, kb_relative_information_score: -0.046, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.3338, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5859, f_measure: 0.5712, kappa: 0.1184, kb_relative_information_score: 16.8902, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5745, predictive_accuracy: 0.5873, prior_entropy: 0.9827, recall: 0.5873, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5346, f_measure: 0.5441, kappa: 0.0687, kb_relative_information_score: 16.7453, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5457, predictive_accuracy: 0.5429, prior_entropy: 0.9827, recall: 0.5429, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6761, root_relative_squared_error: 1.3689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.482, kappa: -0.0085, kb_relative_information_score: -22.5984, mean_absolute_error: 0.5175, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5075, predictive_accuracy: 0.4825, prior_entropy: 0.9827, recall: 0.4825, relative_absolute_error: 1.0604, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.7193, root_relative_squared_error: 1.4564, scimark_benchmark: 1280.301, usercpu_time_millis: 23656.25, usercpu_time_millis_training: 23656.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5085, f_measure: 0.5224, kappa: 0.0178, kb_relative_information_score: 14.6746, mean_absolute_error: 0.4603, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5214, predictive_accuracy: 0.5397, prior_entropy: 0.9827, recall: 0.5397, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6785, root_relative_squared_error: 1.3737, scimark_benchmark: 1280.301, usercpu_time_millis: 19265.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 19250,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4232, kb_relative_information_score: 39.5233, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.3338, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 0.8652, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156, scimark_benchmark: 1461.2356, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5626, f_measure: 0.5665, kappa: 0.1066, kb_relative_information_score: 9.6024, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5665, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9999, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5126, f_measure: 0.5377, kappa: 0.0542, kb_relative_information_score: 9.4215, mean_absolute_error: 0.4735, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5421, predictive_accuracy: 0.5619, prior_entropy: 0.9827, recall: 0.5619, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5219, root_relative_squared_error: 1.0567, scimark_benchmark: 1834.908, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5716, f_measure: 0.5694, kappa: 0.1122, kb_relative_information_score: 16.2861, mean_absolute_error: 0.463, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5684, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 0.9489, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.512, root_relative_squared_error: 1.0367, scimark_benchmark: 1834.908, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5716, f_measure: 0.5694, kappa: 0.1122, kb_relative_information_score: 16.2861, mean_absolute_error: 0.463, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5684, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 0.9489, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.512, root_relative_squared_error: 1.0367, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.4765, kappa: -0.0226, kb_relative_information_score: -2.1169, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.4936, predictive_accuracy: 0.546, prior_entropy: 0.9827, recall: 0.546, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0231, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4594, f_measure: 0.478, kappa: -0.03, kb_relative_information_score: -3.2246, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.4897, predictive_accuracy: 0.5397, prior_entropy: 0.9827, recall: 0.5397, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0188, 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: 0.5161, f_measure: 0.4553, kappa: 0.0036, kb_relative_information_score: 6.1062, mean_absolute_error: 0.4797, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.519, predictive_accuracy: 0.5714, prior_entropy: 0.9827, recall: 0.5714, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0121, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5122, f_measure: 0.4877, kappa: 0.0419, kb_relative_information_score: 1.3236, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5682, predictive_accuracy: 0.5841, prior_entropy: 0.9827, recall: 0.5841, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0079, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, f_measure: 0.4971, kappa: 0.0525, kb_relative_information_score: 45.7354, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5756, predictive_accuracy: 0.5873, prior_entropy: 0.9827, recall: 0.5873, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6424, root_relative_squared_error: 1.3007, 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: 0.5353, f_measure: 0.5277, kappa: 0.0775, kb_relative_information_score: 47.8061, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5757, predictive_accuracy: 0.5905, prior_entropy: 0.9827, recall: 0.5905, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6399, root_relative_squared_error: 1.2957, scimark_benchmark: 915.5225, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.579, f_measure: 0.5832, kappa: 0.1438, kb_relative_information_score: 12.054, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5885, predictive_accuracy: 0.6, prior_entropy: 0.9827, recall: 0.6, relative_absolute_error: 0.9676, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0113, scimark_benchmark: 1179.2569, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5626, f_measure: 0.5665, kappa: 0.1066, kb_relative_information_score: 9.6024, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5665, predictive_accuracy: 0.5778, prior_entropy: 0.9827, recall: 0.5778, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9999, scimark_benchmark: 925.1293, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5217, f_measure: 0.485, kappa: 0.0016, kb_relative_information_score: 2.524, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5135, predictive_accuracy: 0.5587, prior_entropy: 0.9827, recall: 0.5587, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5064, root_relative_squared_error: 1.0253, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5109, f_measure: 0.4963, kappa: 0.0143, kb_relative_information_score: 1.2101, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5236, predictive_accuracy: 0.5619, prior_entropy: 0.9827, recall: 0.5619, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5363, root_relative_squared_error: 1.0857, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5399, f_measure: 0.5214, kappa: 0.0396, kb_relative_information_score: 11.1744, mean_absolute_error: 0.4652, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5378, predictive_accuracy: 0.5651, prior_entropy: 0.9827, recall: 0.5651, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5856, root_relative_squared_error: 1.1855, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5088, f_measure: 0.5377, kappa: 0.0599, kb_relative_information_score: 1.3428, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5469, predictive_accuracy: 0.5683, prior_entropy: 0.9827, recall: 0.5683, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5193, root_relative_squared_error: 1.0515, 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: 0.5157, f_measure: 0.512, kappa: 0.0311, kb_relative_information_score: 1.6567, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5342, predictive_accuracy: 0.5651, prior_entropy: 0.9827, recall: 0.5651, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0398, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.5262, kappa: 0.0276, kb_relative_information_score: -5.0975, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5255, predictive_accuracy: 0.527, prior_entropy: 0.9827, recall: 0.527, relative_absolute_error: 1.0097, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5478, root_relative_squared_error: 1.109, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,

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