Task
Supervised Classification on hip

Supervised Classification on hip

Task 3761 Supervised Classification hip 516 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

516 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.8325, kappa: 0.6648, kb_relative_information_score: 33.9123, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8368, predictive_accuracy: 0.8333, prior_entropy: 0.9991, recall: 0.8333, relative_absolute_error: 0.3786, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.7219, kappa: 0.446, kb_relative_information_score: 16.1971, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7261, predictive_accuracy: 0.7222, prior_entropy: 0.9991, recall: 0.7222, relative_absolute_error: 0.7248, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8334, kappa: 0.6667, kb_relative_information_score: 25.6441, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.834, predictive_accuracy: 0.8333, prior_entropy: 0.9991, recall: 0.8333, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.7772, kappa: 0.5537, kb_relative_information_score: 29.9521, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7787, predictive_accuracy: 0.7778, prior_entropy: 0.9991, recall: 0.7778, relative_absolute_error: 0.445, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8332, kappa: 0.6657, kb_relative_information_score: 29.6938, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8336, predictive_accuracy: 0.8333, prior_entropy: 0.9991, recall: 0.8333, relative_absolute_error: 0.4659, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.7394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.7778, kappa: 0.5549, kb_relative_information_score: 28.2908, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.9991, recall: 0.7778, relative_absolute_error: 0.4825, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.6439, kappa: 0.2905, kb_relative_information_score: 12.6587, mean_absolute_error: 0.3891, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.651, predictive_accuracy: 0.6481, prior_entropy: 0.9991, recall: 0.6481, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5134, root_relative_squared_error: 1.0275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.8332, kappa: 0.6658, kb_relative_information_score: 30.4614, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8336, predictive_accuracy: 0.8333, prior_entropy: 0.9991, recall: 0.8333, relative_absolute_error: 0.4595, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.8325, kappa: 0.6648, kb_relative_information_score: 33.647, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8368, predictive_accuracy: 0.8333, prior_entropy: 0.9991, recall: 0.8333, relative_absolute_error: 0.3966, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8143, kappa: 0.6311, kb_relative_information_score: 31.4558, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8228, predictive_accuracy: 0.8148, prior_entropy: 0.9991, recall: 0.8148, relative_absolute_error: 0.4296, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7952, kappa: 0.5903, kb_relative_information_score: 22.6743, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7992, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.6854, kappa: 0.3966, kb_relative_information_score: 13.6756, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7497, predictive_accuracy: 0.7037, prior_entropy: 0.9991, recall: 0.7037, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.759, kappa: 0.5172, kb_relative_information_score: 28.2765, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7593, predictive_accuracy: 0.7593, prior_entropy: 0.9991, recall: 0.7593, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.7961, kappa: 0.5937, kb_relative_information_score: 29.7636, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8008, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.759, kappa: 0.5172, kb_relative_information_score: 24.8176, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7593, predictive_accuracy: 0.7593, prior_entropy: 0.9991, recall: 0.7593, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.8817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.7219, kappa: 0.4429, kb_relative_information_score: 22.8766, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7221, predictive_accuracy: 0.7222, prior_entropy: 0.9991, recall: 0.7222, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4495, root_relative_squared_error: 0.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8514, kappa: 0.7025, kb_relative_information_score: 29.8393, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8534, predictive_accuracy: 0.8519, prior_entropy: 0.9991, recall: 0.8519, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.7111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.5473, kappa: 0.1657, kb_relative_information_score: 8.2162, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.6317, predictive_accuracy: 0.5926, prior_entropy: 0.9991, recall: 0.5926, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4914, root_relative_squared_error: 0.9834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.74, kappa: 0.4793, kb_relative_information_score: 24.4387, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7414, predictive_accuracy: 0.7407, prior_entropy: 0.9991, recall: 0.7407, relative_absolute_error: 0.5618, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8334, kappa: 0.6667, kb_relative_information_score: 36.0858, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.834, predictive_accuracy: 0.8333, prior_entropy: 0.9991, recall: 0.8333, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.7961, kappa: 0.5915, kb_relative_information_score: 23.9892, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7964, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.585, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7563, kappa: 0.5145, kb_relative_information_score: 16.7778, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7669, predictive_accuracy: 0.7593, prior_entropy: 0.9991, recall: 0.7593, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4231, f_measure: 0.3541, kb_relative_information_score: -0.1594, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.2689, predictive_accuracy: 0.5185, prior_entropy: 0.9991, recall: 0.5185, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.7778, kappa: 0.5549, kb_relative_information_score: 20.6052, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.9991, recall: 0.7778, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.5343, kappa: 0.1634, kb_relative_information_score: 9.7641, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.6542, predictive_accuracy: 0.5926, prior_entropy: 0.9991, recall: 0.5926, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5768, root_relative_squared_error: 1.1544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.5885, kappa: 0.2416, kb_relative_information_score: 11.3662, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.6916, predictive_accuracy: 0.6296, prior_entropy: 0.9991, recall: 0.6296, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.8143, kappa: 0.6281, kb_relative_information_score: 33.9595, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.816, predictive_accuracy: 0.8148, prior_entropy: 0.9991, recall: 0.8148, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8332, kappa: 0.6658, kb_relative_information_score: 29.9388, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8336, predictive_accuracy: 0.8333, prior_entropy: 0.9991, recall: 0.8333, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, f_measure: 0.7219, kappa: 0.4429, kb_relative_information_score: 23.941, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7221, predictive_accuracy: 0.7222, prior_entropy: 0.9991, recall: 0.7222, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.7386, kappa: 0.4779, kb_relative_information_score: 18.9382, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7447, predictive_accuracy: 0.7407, prior_entropy: 0.9991, recall: 0.7407, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.7952, kappa: 0.5903, kb_relative_information_score: 27.7863, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7992, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.8325, kappa: 0.6648, kb_relative_information_score: 31.3723, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8368, predictive_accuracy: 0.8333, prior_entropy: 0.9991, recall: 0.8333, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.8143, kappa: 0.6281, kb_relative_information_score: 25.2577, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.816, predictive_accuracy: 0.8148, prior_entropy: 0.9991, recall: 0.8148, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.8133, kappa: 0.6271, kb_relative_information_score: 33.9595, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8209, predictive_accuracy: 0.8148, prior_entropy: 0.9991, recall: 0.8148, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8334, kappa: 0.6667, kb_relative_information_score: 29.5892, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.834, predictive_accuracy: 0.8333, prior_entropy: 0.9991, recall: 0.8333, relative_absolute_error: 0.4758, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.7772, kappa: 0.5537, kb_relative_information_score: 26.6687, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7787, predictive_accuracy: 0.7778, prior_entropy: 0.9991, recall: 0.7778, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.7888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7759, kappa: 0.5525, kb_relative_information_score: 28.9214, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7828, predictive_accuracy: 0.7778, prior_entropy: 0.9991, recall: 0.7778, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.8325, kappa: 0.6648, kb_relative_information_score: 32.3895, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8368, predictive_accuracy: 0.8333, prior_entropy: 0.9991, recall: 0.8333, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.7037, kappa: 0.4082, kb_relative_information_score: 21.9374, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7056, predictive_accuracy: 0.7037, prior_entropy: 0.9991, recall: 0.7037, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5443, root_relative_squared_error: 1.0894, scimark_benchmark: 1461.2356, usercpu_time_millis: 33718.75, usercpu_time_millis_training: 33718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7961, kappa: 0.5915, kb_relative_information_score: 31.9558, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7964, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9033, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5398, f_measure: 0.4553, kappa: 0.0822, kb_relative_information_score: 5.9079, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.6411, predictive_accuracy: 0.5556, prior_entropy: 0.9991, recall: 0.5556, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3342, scimark_benchmark: 1959.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3541, kb_relative_information_score: 1.9005, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.2689, predictive_accuracy: 0.5185, prior_entropy: 0.9991, recall: 0.5185, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6939, root_relative_squared_error: 1.3887, 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: 0.8269, f_measure: 0.7964, kappa: 0.5926, kb_relative_information_score: 32.5446, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.797, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8216, scimark_benchmark: 1385.6627, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3541, kb_relative_information_score: 1.9005, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.2689, predictive_accuracy: 0.5185, prior_entropy: 0.9991, recall: 0.5185, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6939, root_relative_squared_error: 1.3887, scimark_benchmark: 1588.5565, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5398, f_measure: 0.4553, kappa: 0.0822, kb_relative_information_score: 5.9079, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.6411, predictive_accuracy: 0.5556, prior_entropy: 0.9991, recall: 0.5556, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3342, scimark_benchmark: 1360.3517, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.7037, kappa: 0.4082, kb_relative_information_score: 21.9374, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7056, predictive_accuracy: 0.7037, prior_entropy: 0.9991, recall: 0.7037, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5443, root_relative_squared_error: 1.0894, scimark_benchmark: 1651.751, usercpu_time_millis: 2210, usercpu_time_millis_training: 2210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7961, kappa: 0.5915, kb_relative_information_score: 31.9558, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7964, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9033, scimark_benchmark: 1507.2922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8697, kappa: 0.7393, kb_relative_information_score: 36.0479, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8745, predictive_accuracy: 0.8704, prior_entropy: 0.9991, recall: 0.8704, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7133, scimark_benchmark: 1908.2191, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8332, kappa: 0.6658, kb_relative_information_score: 34.9144, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8336, predictive_accuracy: 0.8333, prior_entropy: 0.9991, recall: 0.8333, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.6868, scimark_benchmark: 1464.0569, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8886, kappa: 0.7769, kb_relative_information_score: 35.5158, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8907, predictive_accuracy: 0.8889, prior_entropy: 0.9991, recall: 0.8889, relative_absolute_error: 0.3569, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6542, scimark_benchmark: 1060.9535,
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 - 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: 0.8777, f_measure: 0.8325, kappa: 0.6648, kb_relative_information_score: 32.3895, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8368, predictive_accuracy: 0.8333, prior_entropy: 0.9991, recall: 0.8333, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7164, scimark_benchmark: 1461.4123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.7952, kappa: 0.5903, kb_relative_information_score: 31.3588, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7992, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.4319, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7853, scimark_benchmark: 1272.5062, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.7964, kappa: 0.5926, kb_relative_information_score: 32.0576, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.797, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.419, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7026, scimark_benchmark: 1382.2395, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6099, f_measure: 0.5473, kappa: 0.1657, kb_relative_information_score: 9.6281, mean_absolute_error: 0.4111, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.6317, predictive_accuracy: 0.5926, prior_entropy: 0.9991, recall: 0.5926, relative_absolute_error: 0.8232, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6258, root_relative_squared_error: 1.2525, scimark_benchmark: 1342.8911, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8519, kappa: 0.7033, kb_relative_information_score: 38.7152, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8519, predictive_accuracy: 0.8519, prior_entropy: 0.9991, recall: 0.8519, relative_absolute_error: 0.2836, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.6983, scimark_benchmark: 1265.8734, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.7208, kappa: 0.4414, kb_relative_information_score: 21.0872, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7239, predictive_accuracy: 0.7222, prior_entropy: 0.9991, recall: 0.7222, relative_absolute_error: 0.6238, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9668, scimark_benchmark: 520.4011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.8143, kappa: 0.6281, kb_relative_information_score: 33.9595, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.816, predictive_accuracy: 0.8148, prior_entropy: 0.9991, recall: 0.8148, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8613, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.8332, kappa: 0.6676, kb_relative_information_score: 35.9631, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8382, predictive_accuracy: 0.8333, prior_entropy: 0.9991, recall: 0.8333, relative_absolute_error: 0.3338, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8171, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, f_measure: 0.7029, kappa: 0.405, kb_relative_information_score: 17.4002, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.704, predictive_accuracy: 0.7037, prior_entropy: 0.9991, recall: 0.7037, relative_absolute_error: 0.6966, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4773, root_relative_squared_error: 0.9553, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8325, kappa: 0.6648, kb_relative_information_score: 26.2844, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8368, predictive_accuracy: 0.8333, prior_entropy: 0.9991, recall: 0.8333, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7276, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.8325, kappa: 0.6648, kb_relative_information_score: 33.647, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8368, predictive_accuracy: 0.8333, prior_entropy: 0.9991, recall: 0.8333, relative_absolute_error: 0.3966, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7017, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.7188, kappa: 0.4398, kb_relative_information_score: 18.1026, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7282, predictive_accuracy: 0.7222, prior_entropy: 0.9991, recall: 0.7222, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9176, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.8325, kappa: 0.6648, kb_relative_information_score: 32.3895, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8368, predictive_accuracy: 0.8333, prior_entropy: 0.9991, recall: 0.8333, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7164, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.8143, kappa: 0.6281, kb_relative_information_score: 33.9595, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.816, predictive_accuracy: 0.8148, prior_entropy: 0.9991, recall: 0.8148, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8613, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.8332, kappa: 0.6676, kb_relative_information_score: 35.9631, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8382, predictive_accuracy: 0.8333, prior_entropy: 0.9991, recall: 0.8333, relative_absolute_error: 0.3338, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8171, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.7952, kappa: 0.5903, kb_relative_information_score: 31.3583, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7992, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.4319, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7854, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.7964, kappa: 0.5926, kb_relative_information_score: 32.0576, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.797, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.419, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7026, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6099, f_measure: 0.5473, kappa: 0.1657, kb_relative_information_score: 9.6281, mean_absolute_error: 0.4111, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.6317, predictive_accuracy: 0.5926, prior_entropy: 0.9991, recall: 0.5926, relative_absolute_error: 0.8232, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6258, root_relative_squared_error: 1.2525, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8519, kappa: 0.7033, kb_relative_information_score: 38.7152, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8519, predictive_accuracy: 0.8519, prior_entropy: 0.9991, recall: 0.8519, relative_absolute_error: 0.2836, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.6983, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, f_measure: 0.7012, kappa: 0.4033, kb_relative_information_score: 19.6443, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7067, predictive_accuracy: 0.7037, prior_entropy: 0.9991, recall: 0.7037, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9842, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.6813, kappa: 0.3651, kb_relative_information_score: 16.0345, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.6896, predictive_accuracy: 0.6852, prior_entropy: 0.9991, recall: 0.6852, relative_absolute_error: 0.7204, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4802, root_relative_squared_error: 0.9611, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.8325, kappa: 0.6648, kb_relative_information_score: 26.2792, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8368, predictive_accuracy: 0.8333, prior_entropy: 0.9991, recall: 0.8333, relative_absolute_error: 0.5435, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7283, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.8325, kappa: 0.6648, kb_relative_information_score: 33.647, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8368, predictive_accuracy: 0.8333, prior_entropy: 0.9991, recall: 0.8333, relative_absolute_error: 0.3966, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7017, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.7188, kappa: 0.4398, kb_relative_information_score: 18.1026, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7282, predictive_accuracy: 0.7222, prior_entropy: 0.9991, recall: 0.7222, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9176, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.7964, kappa: 0.5926, kb_relative_information_score: 32.0576, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.797, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.419, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7026, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.6439, kappa: 0.2905, kb_relative_information_score: 12.6587, mean_absolute_error: 0.3891, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.651, predictive_accuracy: 0.6481, prior_entropy: 0.9991, recall: 0.6481, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5134, root_relative_squared_error: 1.0275, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.8133, kappa: 0.6271, kb_relative_information_score: 31.6576, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8209, predictive_accuracy: 0.8148, prior_entropy: 0.9991, recall: 0.8148, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.786, 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: 0.9203, f_measure: 0.8519, kappa: 0.7033, kb_relative_information_score: 38.933, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8519, predictive_accuracy: 0.8519, prior_entropy: 0.9991, recall: 0.8519, relative_absolute_error: 0.2788, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.6868, 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: 0.9203, f_measure: 0.8519, kappa: 0.7033, kb_relative_information_score: 38.933, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8519, predictive_accuracy: 0.8519, prior_entropy: 0.9991, recall: 0.8519, relative_absolute_error: 0.2788, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.6868, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.8514, kappa: 0.7025, kb_relative_information_score: 38.3925, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8534, predictive_accuracy: 0.8519, prior_entropy: 0.9991, recall: 0.8519, relative_absolute_error: 0.2898, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7092, 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: 0.6696, f_measure: 0.6813, kappa: 0.3651, kb_relative_information_score: 15.9462, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.6896, predictive_accuracy: 0.6852, prior_entropy: 0.9991, recall: 0.6852, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0078, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.7961, kappa: 0.5915, kb_relative_information_score: 27.1816, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7964, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8213, 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: 0.8929, f_measure: 0.7961, kappa: 0.5915, kb_relative_information_score: 30.5811, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7964, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7168, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.8143, kappa: 0.6281, kb_relative_information_score: 33.9595, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.816, predictive_accuracy: 0.8148, prior_entropy: 0.9991, recall: 0.8148, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8613, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.8143, kappa: 0.6281, kb_relative_information_score: 33.9595, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.816, predictive_accuracy: 0.8148, prior_entropy: 0.9991, recall: 0.8148, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8613, scimark_benchmark: 1029.3761, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.7964, kappa: 0.5926, kb_relative_information_score: 32.0576, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.797, predictive_accuracy: 0.7963, prior_entropy: 0.9991, recall: 0.7963, relative_absolute_error: 0.419, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7026, scimark_benchmark: 1018.9933, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.492, kappa: 0.0873, kb_relative_information_score: 4.8393, mean_absolute_error: 0.4557, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.5827, predictive_accuracy: 0.5556, prior_entropy: 0.9991, recall: 0.5556, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5421, root_relative_squared_error: 1.085, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5529, f_measure: 0.5129, kappa: 0.0586, kb_relative_information_score: 5.8186, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.536, predictive_accuracy: 0.537, prior_entropy: 0.9991, recall: 0.537, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6254, root_relative_squared_error: 1.2516, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.74, kappa: 0.4793, kb_relative_information_score: 15.7021, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7414, predictive_accuracy: 0.7407, prior_entropy: 0.9991, recall: 0.7407, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5059, root_relative_squared_error: 1.0125, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.5766, kappa: 0.2394, kb_relative_information_score: 6.5357, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7256, predictive_accuracy: 0.6296, prior_entropy: 0.9991, recall: 0.6296, relative_absolute_error: 0.8868, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0043, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, f_measure: 0.492, kappa: 0.0873, kb_relative_information_score: 6.6985, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.5827, predictive_accuracy: 0.5556, prior_entropy: 0.9991, recall: 0.5556, relative_absolute_error: 0.8763, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5956, root_relative_squared_error: 1.1921, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.5885, kappa: 0.2416, kb_relative_information_score: 11.3662, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.6916, predictive_accuracy: 0.6296, prior_entropy: 0.9991, recall: 0.6296, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.958, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8332, kappa: 0.6658, kb_relative_information_score: 35.9631, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8336, predictive_accuracy: 0.8333, prior_entropy: 0.9991, recall: 0.8333, relative_absolute_error: 0.3338, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8171, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.8332, kappa: 0.6676, kb_relative_information_score: 35.9631, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8382, predictive_accuracy: 0.8333, prior_entropy: 0.9991, recall: 0.8333, relative_absolute_error: 0.3338, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8171, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.6667, kappa: 0.3324, kb_relative_information_score: 14.926, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.9991, recall: 0.6667, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9643, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.6836, kappa: 0.3669, kb_relative_information_score: 16.0516, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.6862, predictive_accuracy: 0.6852, prior_entropy: 0.9991, recall: 0.6852, relative_absolute_error: 0.7201, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.971, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.8325, kappa: 0.6648, kb_relative_information_score: 31.5942, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8368, predictive_accuracy: 0.8333, prior_entropy: 0.9991, recall: 0.8333, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.6967, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.8325, kappa: 0.6648, kb_relative_information_score: 33.647, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.8368, predictive_accuracy: 0.8333, prior_entropy: 0.9991, recall: 0.8333, relative_absolute_error: 0.3966, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7017, scimark_benchmark: 1870.7932,

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