Task
Supervised Classification on thyroid_sick

Supervised Classification on thyroid_sick

Task 3487 Supervised Classification thyroid_sick 67 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_15 study_20 under100k under1m
Issue #Downvotes for this reason By


Metric:

67 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.9356, kappa: 0.5269, kb_relative_information_score: -1315.1165, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9514, predictive_accuracy: 0.9266, prior_entropy: 0.3333, recall: 0.9266, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9091, kb_relative_information_score: 909.0798, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, scimark_benchmark: 1697.6783, usercpu_time_millis: 406.25, usercpu_time_millis_testing: 171.875, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, f_measure: 0.9108, kappa: 0.0283, kb_relative_information_score: 884.3822, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9066, predictive_accuracy: 0.9382, prior_entropy: 0.3333, recall: 0.9382, relative_absolute_error: 0.5363, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2485, root_relative_squared_error: 1.0366, scimark_benchmark: 1862.8608, usercpu_time_millis: 4250, usercpu_time_millis_testing: 1187.5, usercpu_time_millis_training: 3062.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9091, kb_relative_information_score: 909.0798, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, scimark_benchmark: 1366.9817, usercpu_time_millis: 570, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, f_measure: 0.9108, kappa: 0.0283, kb_relative_information_score: 884.3822, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9066, predictive_accuracy: 0.9382, prior_entropy: 0.3333, recall: 0.9382, relative_absolute_error: 0.5363, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2485, root_relative_squared_error: 1.0366, scimark_benchmark: 1354.5405, usercpu_time_millis: 3990, usercpu_time_millis_testing: 1620, usercpu_time_millis_training: 2370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.9683, kappa: 0.7307, kb_relative_information_score: 1866.6579, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9692, predictive_accuracy: 0.9677, prior_entropy: 0.3333, recall: 0.9677, relative_absolute_error: 0.4235, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.6888, scimark_benchmark: 1918.4916, usercpu_time_millis: 21765.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 21750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.9724, kappa: 0.7622, kb_relative_information_score: 2148.8938, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9727, predictive_accuracy: 0.9722, prior_entropy: 0.3333, recall: 0.9722, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.662, scimark_benchmark: 1918.4916, usercpu_time_millis: 27625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 27609.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.8891, kappa: 0.2671, kb_relative_information_score: -2474.4898, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9224, predictive_accuracy: 0.8661, prior_entropy: 0.3333, recall: 0.8661, relative_absolute_error: 1.1623, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3659, root_relative_squared_error: 1.526, scimark_benchmark: 1854.0453, usercpu_time_millis: 195734.375, usercpu_time_millis_testing: 109.375, usercpu_time_millis_training: 195625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.8891, kappa: 0.2671, kb_relative_information_score: -2474.4898, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9224, predictive_accuracy: 0.8661, prior_entropy: 0.3333, recall: 0.8661, relative_absolute_error: 1.1623, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3659, root_relative_squared_error: 1.526, scimark_benchmark: 1742.8208, usercpu_time_millis: 179046.875, usercpu_time_millis_testing: 93.75, usercpu_time_millis_training: 178953.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.9703, kappa: 0.7281, kb_relative_information_score: 2452.679, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9701, predictive_accuracy: 0.9719, prior_entropy: 0.3333, recall: 0.9719, relative_absolute_error: 0.244, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.6991, scimark_benchmark: 1377.4309, usercpu_time_millis: 9468.75, usercpu_time_millis_testing: 187.5, usercpu_time_millis_training: 9281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9646, kappa: 0.6872, kb_relative_information_score: 1896.4876, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9642, predictive_accuracy: 0.9653, prior_entropy: 0.3333, recall: 0.9653, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.6988, scimark_benchmark: 1414.0913, usercpu_time_millis: 24540, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 24510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.9694, kappa: 0.7382, kb_relative_information_score: 1593.6727, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.97, predictive_accuracy: 0.969, prior_entropy: 0.3333, recall: 0.969, relative_absolute_error: 0.3477, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.161, root_relative_squared_error: 0.6713, scimark_benchmark: 1416.417, usercpu_time_millis: 3421.875, usercpu_time_millis_training: 3421.875,
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: 0.9256, f_measure: 0.9356, kappa: 0.5269, kb_relative_information_score: -1315.1165, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9514, predictive_accuracy: 0.9266, prior_entropy: 0.3333, recall: 0.9266, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.9518, scimark_benchmark: 1351.4498, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9091, kb_relative_information_score: 909.0798, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, scimark_benchmark: 1300.2032, usercpu_time_millis: 560, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.954, kappa: 0.5538, kb_relative_information_score: 1884.6345, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9555, predictive_accuracy: 0.9597, prior_entropy: 0.3333, recall: 0.9597, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.8372, scimark_benchmark: 1618.1738, usercpu_time_millis: 234.375, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.9659, kappa: 0.7062, kb_relative_information_score: 1653.0405, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9663, predictive_accuracy: 0.9655, prior_entropy: 0.3333, recall: 0.9655, relative_absolute_error: 0.4572, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.6931, scimark_benchmark: 1744.8652, usercpu_time_millis: 1875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1859.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.9653, kappa: 0.6809, kb_relative_information_score: 1153.6325, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9649, predictive_accuracy: 0.9674, prior_entropy: 0.3333, recall: 0.9674, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.6828, scimark_benchmark: 1744.8652, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.9609, kappa: 0.6497, kb_relative_information_score: 1991.4019, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9601, predictive_accuracy: 0.9621, prior_entropy: 0.3333, recall: 0.9621, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.8118, scimark_benchmark: 1744.8652, usercpu_time_millis: 2140.625, usercpu_time_millis_testing: 2125, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9742, kappa: 0.775, kb_relative_information_score: 2309.8691, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9741, predictive_accuracy: 0.9743, prior_entropy: 0.3333, recall: 0.9743, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.589, scimark_benchmark: 1744.8652, usercpu_time_millis: 531.25, usercpu_time_millis_training: 531.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9861, kappa: 0.88, kb_relative_information_score: 3028.8069, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9862, predictive_accuracy: 0.9859, prior_entropy: 0.3333, recall: 0.9859, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.4599, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9857, kappa: 0.8729, kb_relative_information_score: 2740.0477, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9856, predictive_accuracy: 0.9859, prior_entropy: 0.3333, recall: 0.9859, relative_absolute_error: 0.1965, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.4782, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9827, kappa: 0.8431, kb_relative_information_score: 2498.2535, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9832, predictive_accuracy: 0.9836, prior_entropy: 0.3333, recall: 0.9836, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.4566, scimark_benchmark: 1744.8652, usercpu_time_millis: 968.75, usercpu_time_millis_testing: 265.625, usercpu_time_millis_training: 703.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.9176, kappa: 0.1261, kb_relative_information_score: -85.5876, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9161, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.9829, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9856, kappa: 0.874, kb_relative_information_score: 3018.4123, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9855, predictive_accuracy: 0.9857, prior_entropy: 0.3333, recall: 0.9857, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.4715, scimark_benchmark: 1744.8652, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.9356, kappa: 0.5269, kb_relative_information_score: -1315.1165, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9514, predictive_accuracy: 0.9266, prior_entropy: 0.3333, recall: 0.9266, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.9518, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9091, kb_relative_information_score: 909.0798, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, scimark_benchmark: 1744.8652, usercpu_time_millis: 312.5, usercpu_time_millis_training: 312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.954, kappa: 0.5538, kb_relative_information_score: 1884.6345, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9555, predictive_accuracy: 0.9597, prior_entropy: 0.3333, recall: 0.9597, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.8372, scimark_benchmark: 1744.8652, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.9682, kappa: 0.7275, kb_relative_information_score: 1830.4168, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9688, predictive_accuracy: 0.9677, prior_entropy: 0.3333, recall: 0.9677, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.6601, scimark_benchmark: 1744.8652, usercpu_time_millis: 1984.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1968.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.9653, kappa: 0.6809, kb_relative_information_score: 1153.6325, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9649, predictive_accuracy: 0.9674, prior_entropy: 0.3333, recall: 0.9674, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.6828, scimark_benchmark: 1744.8652, usercpu_time_millis: 203.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.9609, kappa: 0.6497, kb_relative_information_score: 1991.4019, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9601, predictive_accuracy: 0.9621, prior_entropy: 0.3333, recall: 0.9621, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.8118, scimark_benchmark: 1744.8652, usercpu_time_millis: 1859.375, usercpu_time_millis_testing: 1859.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9742, kappa: 0.775, kb_relative_information_score: 2309.8691, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9741, predictive_accuracy: 0.9743, prior_entropy: 0.3333, recall: 0.9743, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.589, scimark_benchmark: 1744.8652, usercpu_time_millis: 531.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.9825, kappa: 0.8478, kb_relative_information_score: 2886.3926, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.3333, recall: 0.9825, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.5192, scimark_benchmark: 1744.8652, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9857, kappa: 0.8729, kb_relative_information_score: 2740.0477, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9856, predictive_accuracy: 0.9859, prior_entropy: 0.3333, recall: 0.9859, relative_absolute_error: 0.1965, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.4782, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.984, kappa: 0.8551, kb_relative_information_score: 2523.6917, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9842, predictive_accuracy: 0.9846, prior_entropy: 0.3333, recall: 0.9846, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.454, scimark_benchmark: 1744.8652, usercpu_time_millis: 921.875, usercpu_time_millis_testing: 281.25, usercpu_time_millis_training: 640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.9176, kappa: 0.1261, kb_relative_information_score: -85.5876, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9161, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.9829, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9856, kappa: 0.874, kb_relative_information_score: 3018.4123, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9855, predictive_accuracy: 0.9857, prior_entropy: 0.3333, recall: 0.9857, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.4715, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9742, kappa: 0.775, kb_relative_information_score: 2309.8691, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9741, predictive_accuracy: 0.9743, prior_entropy: 0.3333, recall: 0.9743, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.589, scimark_benchmark: 1788.6668, usercpu_time_millis: 453.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 437.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.9686, kappa: 0.7324, kb_relative_information_score: 1738.9192, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9694, predictive_accuracy: 0.9679, prior_entropy: 0.3333, recall: 0.9679, relative_absolute_error: 0.4426, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.6692, scimark_benchmark: 1788.6668, usercpu_time_millis: 1812.5, usercpu_time_millis_training: 1812.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9702, kappa: 0.7476, kb_relative_information_score: 2042.1353, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9712, predictive_accuracy: 0.9695, prior_entropy: 0.3333, recall: 0.9695, relative_absolute_error: 0.3775, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.15, root_relative_squared_error: 0.6255, scimark_benchmark: 1788.6668, usercpu_time_millis: 218.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.9725, kappa: 0.7641, kb_relative_information_score: 2185.8446, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.973, predictive_accuracy: 0.9722, prior_entropy: 0.3333, recall: 0.9722, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.6389, 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: 0.8972, f_measure: 0.97, kappa: 0.7459, kb_relative_information_score: 1801.1234, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9711, predictive_accuracy: 0.9692, prior_entropy: 0.3333, recall: 0.9692, relative_absolute_error: 0.381, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.6712, scimark_benchmark: 1788.6668, usercpu_time_millis: 984.375, usercpu_time_millis_training: 984.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9523, kappa: 0.5541, kb_relative_information_score: 862.7012, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9511, predictive_accuracy: 0.956, prior_entropy: 0.3333, recall: 0.956, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.7289, 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: 0.5, f_measure: 0.9091, kb_relative_information_score: 909.0798, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9091, kb_relative_information_score: 909.0798, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, scimark_benchmark: 1001.246, usercpu_time_millis: 310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.9653, kappa: 0.6809, kb_relative_information_score: 1153.6325, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9649, predictive_accuracy: 0.9674, prior_entropy: 0.3333, recall: 0.9674, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.6828, scimark_benchmark: 1074.114, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.984, kappa: 0.8619, kb_relative_information_score: 2941.645, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9842, predictive_accuracy: 0.9838, prior_entropy: 0.3333, recall: 0.9838, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.4885, scimark_benchmark: 867.2329, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.9396, kappa: 0.4011, kb_relative_information_score: 1378.334, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9396, predictive_accuracy: 0.9488, prior_entropy: 0.3333, recall: 0.9488, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.9434, scimark_benchmark: 1860.4354, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.954, kappa: 0.5538, kb_relative_information_score: 1884.6345, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9555, predictive_accuracy: 0.9597, prior_entropy: 0.3333, recall: 0.9597, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.8372, scimark_benchmark: 1860.4354, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9626, kappa: 0.667, kb_relative_information_score: 212.2793, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9619, predictive_accuracy: 0.9634, prior_entropy: 0.3333, recall: 0.9634, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.7409, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.9356, kappa: 0.5269, kb_relative_information_score: -1315.1165, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9514, predictive_accuracy: 0.9266, prior_entropy: 0.3333, recall: 0.9266, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.9518, scimark_benchmark: 1860.4354, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.9618, kappa: 0.6593, kb_relative_information_score: 200.9928, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9611, predictive_accuracy: 0.9629, prior_entropy: 0.3333, recall: 0.9629, relative_absolute_error: 0.591, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.7427, scimark_benchmark: 1860.4354, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.9176, kappa: 0.1261, kb_relative_information_score: -85.5876, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9161, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.9829, scimark_benchmark: 1860.4354, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.9636, kappa: 0.6665, kb_relative_information_score: 1807.1141, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9629, predictive_accuracy: 0.9655, prior_entropy: 0.3333, recall: 0.9655, relative_absolute_error: 0.3946, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.6817, scimark_benchmark: 1860.4354, usercpu_time_millis: 1203.125, usercpu_time_millis_testing: 546.875, usercpu_time_millis_training: 656.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9815, kappa: 0.8323, kb_relative_information_score: 2464.4355, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9816, predictive_accuracy: 0.9822, prior_entropy: 0.3333, recall: 0.9822, relative_absolute_error: 0.2913, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.4652, scimark_benchmark: 1860.4354, usercpu_time_millis: 578.125, usercpu_time_millis_testing: 156.25, usercpu_time_millis_training: 421.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.9745, kappa: 0.775, kb_relative_information_score: 2082.3747, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9742, predictive_accuracy: 0.9748, prior_entropy: 0.3333, recall: 0.9748, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.6085, scimark_benchmark: 1860.4354, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9851, kappa: 0.8681, kb_relative_information_score: 2729.9153, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.985, predictive_accuracy: 0.9854, prior_entropy: 0.3333, recall: 0.9854, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.4833, scimark_benchmark: 1860.4354, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.9619, kappa: 0.6644, kb_relative_information_score: 1816.3693, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9615, predictive_accuracy: 0.9624, prior_entropy: 0.3333, recall: 0.9624, relative_absolute_error: 0.3576, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.7937, scimark_benchmark: 1860.4354, usercpu_time_millis: 734.375, usercpu_time_millis_testing: 718.75, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.9609, kappa: 0.6497, kb_relative_information_score: 1991.4019, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9601, predictive_accuracy: 0.9621, prior_entropy: 0.3333, recall: 0.9621, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.8118, scimark_benchmark: 1860.4354, usercpu_time_millis: 1828.125, usercpu_time_millis_testing: 1828.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.9753, kappa: 0.7851, kb_relative_information_score: 2050.9431, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9753, predictive_accuracy: 0.9753, prior_entropy: 0.3333, recall: 0.9753, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.6057, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9856, kappa: 0.874, kb_relative_information_score: 3018.4123, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9855, predictive_accuracy: 0.9857, prior_entropy: 0.3333, recall: 0.9857, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.4715, scimark_benchmark: 1860.4354, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.9649, kappa: 0.6811, kb_relative_information_score: 1475.3827, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9643, predictive_accuracy: 0.9666, prior_entropy: 0.3333, recall: 0.9666, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.6784, scimark_benchmark: 1840.6094, usercpu_time_millis: 1015.625, usercpu_time_millis_testing: 1000, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.9578, kappa: 0.608, kb_relative_information_score: 1715.8004, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.957, predictive_accuracy: 0.9608, prior_entropy: 0.3333, recall: 0.9608, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.728, scimark_benchmark: 1840.6094, usercpu_time_millis: 828.125, usercpu_time_millis_testing: 812.5, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.9517, kappa: 0.529, kb_relative_information_score: 1612.0692, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9535, predictive_accuracy: 0.9581, prior_entropy: 0.3333, recall: 0.9581, relative_absolute_error: 0.389, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.7719, scimark_benchmark: 1840.6094, usercpu_time_millis: 2953.125, usercpu_time_millis_testing: 2953.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.953, kappa: 0.5333, kb_relative_information_score: 855.7278, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9579, predictive_accuracy: 0.9602, prior_entropy: 0.3333, recall: 0.9602, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.7177, scimark_benchmark: 1873.1108, usercpu_time_millis: 3765.625, usercpu_time_millis_testing: 3750, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.964, kappa: 0.6763, kb_relative_information_score: 1486.7465, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9633, predictive_accuracy: 0.9653, prior_entropy: 0.3333, recall: 0.9653, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.6949, scimark_benchmark: 1873.1108, usercpu_time_millis: 953.125, usercpu_time_millis_testing: 937.5, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.9582, kappa: 0.5995, kb_relative_information_score: 1059.4474, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9591, predictive_accuracy: 0.9626, prior_entropy: 0.3333, recall: 0.9626, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.7095, scimark_benchmark: 1873.1108, usercpu_time_millis: 3562.5, usercpu_time_millis_testing: 3562.5,

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