OpenML
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 1767 Supervised Classification kr-vs-kp 356 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9843, kappa: 0.9685, kb_relative_information_score: 15371.086, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9843, predictive_accuracy: 0.9843, prior_entropy: 0.9986, recall: 0.9843, relative_absolute_error: 0.0399, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.233, scimark_benchmark: 1256.2802, usercpu_time_millis: 380, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9621, kappa: 0.9241, kb_relative_information_score: 13179.145, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9626, predictive_accuracy: 0.9621, prior_entropy: 0.9986, recall: 0.9621, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3745, scimark_benchmark: 1253.0071, usercpu_time_millis: 560, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9216, kappa: 0.8429, kb_relative_information_score: 13468.8342, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9217, predictive_accuracy: 0.9217, prior_entropy: 0.9986, recall: 0.9217, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5604, scimark_benchmark: 1396.1629, usercpu_time_millis: 6070, usercpu_time_millis_testing: 1450, usercpu_time_millis_training: 4620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 1349.9109, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9854, kappa: 0.9706, kb_relative_information_score: 15123.0184, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9986, recall: 0.9854, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.2199, scimark_benchmark: 1325.3966, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9553, kappa: 0.9105, kb_relative_information_score: 12724.2105, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9555, predictive_accuracy: 0.9553, prior_entropy: 0.9986, recall: 0.9553, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.193, root_relative_squared_error: 0.3864, scimark_benchmark: 1318.3027, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9216, kappa: 0.8429, kb_relative_information_score: 13468.8342, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9217, predictive_accuracy: 0.9217, prior_entropy: 0.9986, recall: 0.9217, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5604, scimark_benchmark: 1274.7011, usercpu_time_millis: 4540, usercpu_time_millis_testing: 1420, usercpu_time_millis_training: 3120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 1343.3311, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 1340.9647, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9786, kappa: 0.9571, kb_relative_information_score: 15177.1705, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9786, predictive_accuracy: 0.9786, prior_entropy: 0.9986, recall: 0.9786, relative_absolute_error: 0.0521, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.2792, scimark_benchmark: 1316.7198, usercpu_time_millis: 10920, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 1348.841, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9216, kappa: 0.8429, kb_relative_information_score: 13468.8342, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9217, predictive_accuracy: 0.9217, prior_entropy: 0.9986, recall: 0.9217, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5604, scimark_benchmark: 1267.3105, usercpu_time_millis: 6200, usercpu_time_millis_testing: 1400, usercpu_time_millis_training: 4800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8708, kappa: 0.741, kb_relative_information_score: 9682.8257, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.871, predictive_accuracy: 0.8709, prior_entropy: 0.9986, recall: 0.8709, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6127, scimark_benchmark: 1260.1387, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9857, kappa: 0.9714, kb_relative_information_score: 13964.7269, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 0.9986, recall: 0.9857, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.2684, scimark_benchmark: 1326.8946, usercpu_time_millis: 750, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9852, kappa: 0.9703, kb_relative_information_score: 14595.4835, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9852, predictive_accuracy: 0.9852, prior_entropy: 0.9986, recall: 0.9852, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.121, root_relative_squared_error: 0.2422, scimark_benchmark: 1297.2338, usercpu_time_millis: 442160, usercpu_time_millis_testing: 2920, usercpu_time_millis_training: 439240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 1341.5795, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9786, kappa: 0.9571, kb_relative_information_score: 15177.1705, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9786, predictive_accuracy: 0.9786, prior_entropy: 0.9986, recall: 0.9786, relative_absolute_error: 0.0521, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.2792, scimark_benchmark: 1328.1857, usercpu_time_millis: 10640, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9852, kappa: 0.9703, kb_relative_information_score: 14595.4835, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9852, predictive_accuracy: 0.9852, prior_entropy: 0.9986, recall: 0.9852, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.121, root_relative_squared_error: 0.2422, scimark_benchmark: 1312.2688, usercpu_time_millis: 440190, usercpu_time_millis_testing: 2910, usercpu_time_millis_training: 437280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 1352.1128, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 933.1165, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 933.1165, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 1360.6585, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9216, kappa: 0.8429, kb_relative_information_score: 13468.8342, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9217, predictive_accuracy: 0.9217, prior_entropy: 0.9986, recall: 0.9217, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5604, scimark_benchmark: 1380.2233, usercpu_time_millis: 4790, usercpu_time_millis_testing: 1300, usercpu_time_millis_training: 3490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 1380.2233, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9216, kappa: 0.8429, kb_relative_information_score: 13468.8342, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9217, predictive_accuracy: 0.9217, prior_entropy: 0.9986, recall: 0.9217, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5604, scimark_benchmark: 1335.643, usercpu_time_millis: 3960, usercpu_time_millis_testing: 1350, usercpu_time_millis_training: 2610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 1342.6911, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 1343.2125, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 1345.7204, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9553, kappa: 0.9105, kb_relative_information_score: 12724.2105, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9555, predictive_accuracy: 0.9553, prior_entropy: 0.9986, recall: 0.9553, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.193, root_relative_squared_error: 0.3864, scimark_benchmark: 915.9324, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.943, kappa: 0.8858, kb_relative_information_score: 11967.4877, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9432, predictive_accuracy: 0.9431, prior_entropy: 0.9986, recall: 0.9431, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.4687, scimark_benchmark: 1357.5655, usercpu_time_millis: 71230, usercpu_time_millis_testing: 71230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9553, kappa: 0.9105, kb_relative_information_score: 12724.2105, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9555, predictive_accuracy: 0.9553, prior_entropy: 0.9986, recall: 0.9553, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.193, root_relative_squared_error: 0.3864, scimark_benchmark: 1328.941, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9892, kappa: 0.9784, kb_relative_information_score: 15525.1566, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 0.9986, recall: 0.9892, relative_absolute_error: 0.0308, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2038, scimark_benchmark: 892.0148, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9553, kappa: 0.9105, kb_relative_information_score: 12724.2105, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9555, predictive_accuracy: 0.9553, prior_entropy: 0.9986, recall: 0.9553, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.193, root_relative_squared_error: 0.3864, scimark_benchmark: 1320.9026, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9719, kappa: 0.9438, kb_relative_information_score: 8673.7799, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9723, predictive_accuracy: 0.972, prior_entropy: 0.9986, recall: 0.972, relative_absolute_error: 0.5261, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.5716, scimark_benchmark: 1333.8751, usercpu_time_millis: 3380, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 3000,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9925, kappa: 0.9849, kb_relative_information_score: 15713.4355, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.9986, recall: 0.9925, relative_absolute_error: 0.0172, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.1635, scimark_benchmark: 1086.8793, usercpu_time_millis: 9080, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 9070,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9864, kappa: 0.9728, kb_relative_information_score: 15139.8462, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9864, predictive_accuracy: 0.9864, prior_entropy: 0.9986, recall: 0.9864, relative_absolute_error: 0.0591, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.2139, scimark_benchmark: 1313.9606, usercpu_time_millis: 1090, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9859, kappa: 0.9718, kb_relative_information_score: 15135.7133, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9859, predictive_accuracy: 0.9859, prior_entropy: 0.9986, recall: 0.9859, relative_absolute_error: 0.0593, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2152, scimark_benchmark: 1327.4647, usercpu_time_millis: 660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9854, kappa: 0.9706, kb_relative_information_score: 15123.0184, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9986, recall: 0.9854, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.2199, scimark_benchmark: 1316.7863, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8708, kappa: 0.741, kb_relative_information_score: 9682.8257, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.871, predictive_accuracy: 0.8709, prior_entropy: 0.9986, recall: 0.8709, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6127, scimark_benchmark: 1332.4146, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 918.6005, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9687, kappa: 0.9373, kb_relative_information_score: 14977.1211, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9689, predictive_accuracy: 0.9687, prior_entropy: 0.9986, recall: 0.9687, relative_absolute_error: 0.0627, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.3541, scimark_benchmark: 918.6005, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.8743, kappa: 0.7482, kb_relative_information_score: 3590.1407, mean_absolute_error: 0.3903, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.8744, predictive_accuracy: 0.8743, prior_entropy: 0.9986, recall: 0.8743, relative_absolute_error: 0.7822, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8754, scimark_benchmark: 929.0363, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6605, kappa: 0.3402, kb_relative_information_score: 5281.564, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.6881, predictive_accuracy: 0.6662, prior_entropy: 0.9986, recall: 0.6662, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5777, root_relative_squared_error: 1.1566, scimark_benchmark: 906.4475, usercpu_time_millis: 1310, usercpu_time_millis_testing: 1300, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3583, kb_relative_information_score: -0.0661, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 912.7324, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.4004, kappa: 0.042, kb_relative_information_score: 19.657, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.7469, predictive_accuracy: 0.5414, prior_entropy: 0.9986, recall: 0.5414, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9981, scimark_benchmark: 916.6405, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9861, kappa: 0.9722, kb_relative_information_score: 15343.5331, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 0.9986, recall: 0.9861, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2313, scimark_benchmark: 825.5282, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9875, kappa: 0.975, kb_relative_information_score: 15496.5924, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 0.9986, recall: 0.9875, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.2054, scimark_benchmark: 1339.4189, usercpu_time_millis: 890, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6721, f_measure: 0.6233, kappa: 0.3396, kb_relative_information_score: 3384.2855, mean_absolute_error: 0.397, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.8015, predictive_accuracy: 0.6605, prior_entropy: 0.9986, recall: 0.6605, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.892, scimark_benchmark: 876.0664, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6427, f_measure: 0.6022, kappa: 0.2338, kb_relative_information_score: 2644.5729, mean_absolute_error: 0.4195, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.6462, predictive_accuracy: 0.625, prior_entropy: 0.9986, recall: 0.625, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.588, root_relative_squared_error: 1.1772, scimark_benchmark: 938.343, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9911, kappa: 0.9822, kb_relative_information_score: 15695.162, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 0.9986, recall: 0.9911, relative_absolute_error: 0.0178, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.1887, scimark_benchmark: 1324.8395, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9553, kappa: 0.9105, kb_relative_information_score: 12724.2105, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9555, predictive_accuracy: 0.9553, prior_entropy: 0.9986, recall: 0.9553, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.193, root_relative_squared_error: 0.3864, scimark_benchmark: 935.5075, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9671, kappa: 0.9339, kb_relative_information_score: 8546.7002, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9675, predictive_accuracy: 0.9671, prior_entropy: 0.9986, recall: 0.9671, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.5807, scimark_benchmark: 932.0242, usercpu_time_millis: 1490, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9593, kappa: 0.9185, kb_relative_information_score: 8482.3725, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9602, predictive_accuracy: 0.9594, prior_entropy: 0.9986, recall: 0.9594, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.5875, scimark_benchmark: 1330.0694, usercpu_time_millis: 610, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9522, kappa: 0.9042, kb_relative_information_score: 8562.4927, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9527, predictive_accuracy: 0.9523, prior_entropy: 0.9986, recall: 0.9523, relative_absolute_error: 0.5269, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5895, scimark_benchmark: 860.584, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9541, kappa: 0.9079, kb_relative_information_score: 13492.9798, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 0.9986, recall: 0.9541, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.3661, scimark_benchmark: 938.9967, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 11301.7537, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.3345, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.4838, scimark_benchmark: 895.5332, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9407, kappa: 0.8811, kb_relative_information_score: 12951.1091, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9421, predictive_accuracy: 0.9408, prior_entropy: 0.9986, recall: 0.9408, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.4607, scimark_benchmark: 869.6028, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9531, kappa: 0.906, kb_relative_information_score: 13895.3406, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9533, predictive_accuracy: 0.9531, prior_entropy: 0.9986, recall: 0.9531, relative_absolute_error: 0.1415, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.3619, scimark_benchmark: 918.6005, usercpu_time_millis: 800, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9498, kappa: 0.8994, kb_relative_information_score: 13491.6038, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9501, predictive_accuracy: 0.9499, prior_entropy: 0.9986, recall: 0.9499, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.192, root_relative_squared_error: 0.3844, scimark_benchmark: 932.0242, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9416, kappa: 0.8829, kb_relative_information_score: 12967.1986, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9425, predictive_accuracy: 0.9417, prior_entropy: 0.9986, recall: 0.9417, relative_absolute_error: 0.2106, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.41, scimark_benchmark: 1304.9611, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9434, kappa: 0.8865, kb_relative_information_score: 11894.0675, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9437, predictive_accuracy: 0.9434, prior_entropy: 0.9986, recall: 0.9434, relative_absolute_error: 0.2895, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.4602, scimark_benchmark: 939.5088, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9298, kappa: 0.8594, kb_relative_information_score: 10467.5457, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9319, predictive_accuracy: 0.93, prior_entropy: 0.9986, recall: 0.93, relative_absolute_error: 0.3909, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.5371, scimark_benchmark: 933.3136, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9376, kappa: 0.875, kb_relative_information_score: 10860.1816, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9394, predictive_accuracy: 0.9378, prior_entropy: 0.9986, recall: 0.9378, relative_absolute_error: 0.3577, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.5094, scimark_benchmark: 924.3698, usercpu_time_millis: 2370, usercpu_time_millis_testing: 2370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9404, kappa: 0.8805, kb_relative_information_score: 11697.9549, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9416, predictive_accuracy: 0.9405, prior_entropy: 0.9986, recall: 0.9405, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.4796, scimark_benchmark: 1363.454, usercpu_time_millis: 1880, usercpu_time_millis_testing: 1880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9404, kappa: 0.8805, kb_relative_information_score: 11697.9549, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9416, predictive_accuracy: 0.9405, prior_entropy: 0.9986, recall: 0.9405, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.4796, scimark_benchmark: 854.5188, usercpu_time_millis: 2390, usercpu_time_millis_testing: 2390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.6421, kappa: 0.2824, kb_relative_information_score: 4517.392, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.642, predictive_accuracy: 0.6424, prior_entropy: 0.9986, recall: 0.6424, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.598, root_relative_squared_error: 1.1972, scimark_benchmark: 940.3347, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs