OpenML
Supervised Classification on disclosure_z

Supervised Classification on disclosure_z

Task 4499 Supervised Classification disclosure_z 228 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5753, f_measure: 0.5524, kappa: 0.1046, kb_relative_information_score: 158.0551, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5548, predictive_accuracy: 0.5571, prior_entropy: 0.9981, recall: 0.5571, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.496, root_relative_squared_error: 0.9934, scimark_benchmark: 1334.863, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5413, f_measure: 0.5373, kappa: 0.0718, kb_relative_information_score: 89.1312, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5371, predictive_accuracy: 0.5375, prior_entropy: 0.9981, recall: 0.5375, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.0061, scimark_benchmark: 1320.8283, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.544, f_measure: 0.5454, kappa: 0.0884, kb_relative_information_score: 189.0951, mean_absolute_error: 0.4867, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5454, predictive_accuracy: 0.5453, prior_entropy: 0.9981, recall: 0.5453, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5113, root_relative_squared_error: 1.024, scimark_benchmark: 1318.4315, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5705, f_measure: 0.5488, kappa: 0.0989, kb_relative_information_score: 137.2678, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5525, predictive_accuracy: 0.555, prior_entropy: 0.9981, recall: 0.555, relative_absolute_error: 0.9842, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9945, scimark_benchmark: 1318.6467, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1365.0842,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.5236, kappa: 0.0443, kb_relative_information_score: 108.7982, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5236, predictive_accuracy: 0.5255, prior_entropy: 0.9981, recall: 0.5255, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5175, root_relative_squared_error: 1.0363, scimark_benchmark: 1321.8321, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5632, f_measure: 0.5505, kappa: 0.1001, kb_relative_information_score: 143.7793, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5523, predictive_accuracy: 0.5545, prior_entropy: 0.9981, recall: 0.5545, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9973, scimark_benchmark: 1303.9481, usercpu_time_millis: 760, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1334.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.3653, kappa: -0.0026, kb_relative_information_score: -3.2018, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.4508, predictive_accuracy: 0.5242, prior_entropy: 0.9981, recall: 0.5242, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0005, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5413, f_measure: 0.5373, kappa: 0.0718, kb_relative_information_score: 89.1312, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5371, predictive_accuracy: 0.5375, prior_entropy: 0.9981, recall: 0.5375, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.0061, scimark_benchmark: 1365.0842, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5672, f_measure: 0.5586, kappa: 0.1237, kb_relative_information_score: 740.8101, mean_absolute_error: 0.4426, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5645, predictive_accuracy: 0.5595, prior_entropy: 0.9981, recall: 0.5595, relative_absolute_error: 0.8875, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6449, root_relative_squared_error: 1.2916, scimark_benchmark: 1260.1387, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4908, kappa: -0.0134, kb_relative_information_score: -17.1561, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.4942, predictive_accuracy: 0.5006, prior_entropy: 0.9981, recall: 0.5006, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.7067, root_relative_squared_error: 1.4152, scimark_benchmark: 1347.1763, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1324.6608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.3653, kappa: -0.0026, kb_relative_information_score: -3.2018, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.4508, predictive_accuracy: 0.5242, prior_entropy: 0.9981, recall: 0.5242, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0005, scimark_benchmark: 1324.9809, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4908, kappa: -0.0134, kb_relative_information_score: -17.1561, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.4942, predictive_accuracy: 0.5006, prior_entropy: 0.9981, recall: 0.5006, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.7067, root_relative_squared_error: 1.4152, scimark_benchmark: 1311.7006, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.5236, kappa: 0.0443, kb_relative_information_score: 108.7982, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5236, predictive_accuracy: 0.5255, prior_entropy: 0.9981, recall: 0.5255, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5175, root_relative_squared_error: 1.0363, scimark_benchmark: 1347.993, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.3653, kappa: -0.0026, kb_relative_information_score: -3.2018, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.4508, predictive_accuracy: 0.5242, prior_entropy: 0.9981, recall: 0.5242, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0005, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.3698, kappa: -0.0046, kb_relative_information_score: -5.8243, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.4611, predictive_accuracy: 0.5228, prior_entropy: 0.9981, recall: 0.5228, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0009, scimark_benchmark: 1280.6338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5413, f_measure: 0.5373, kappa: 0.0718, kb_relative_information_score: 89.1312, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5371, predictive_accuracy: 0.5375, prior_entropy: 0.9981, recall: 0.5375, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.0061, scimark_benchmark: 1295.0797, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.5236, kappa: 0.0443, kb_relative_information_score: 108.7982, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5236, predictive_accuracy: 0.5255, prior_entropy: 0.9981, recall: 0.5255, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5175, root_relative_squared_error: 1.0363, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.3653, kappa: -0.0026, kb_relative_information_score: -3.2018, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.4508, predictive_accuracy: 0.5242, prior_entropy: 0.9981, recall: 0.5242, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0005, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1071, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, f_measure: 0.524, kappa: 0.045, kb_relative_information_score: 92.0298, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5238, predictive_accuracy: 0.5254, prior_entropy: 0.9981, recall: 0.5254, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0539, scimark_benchmark: 1357.5655, usercpu_time_millis: 220, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5135, f_measure: 0.5061, kappa: 0.0118, kb_relative_information_score: 43.553, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5072, predictive_accuracy: 0.5057, prior_entropy: 0.9981, recall: 0.5057, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.531, root_relative_squared_error: 1.0635, scimark_benchmark: 1368.9272, usercpu_time_millis: 3540, usercpu_time_millis_testing: 3540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5413, f_measure: 0.5373, kappa: 0.0718, kb_relative_information_score: 89.1312, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5371, predictive_accuracy: 0.5375, prior_entropy: 0.9981, recall: 0.5375, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.0061, scimark_benchmark: 1327.5791, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.544, f_measure: 0.5454, kappa: 0.0884, kb_relative_information_score: 189.0951, mean_absolute_error: 0.4867, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5454, predictive_accuracy: 0.5453, prior_entropy: 0.9981, recall: 0.5453, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5113, root_relative_squared_error: 1.024, scimark_benchmark: 892.0148, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5306, f_measure: 0.5331, kappa: 0.0641, kb_relative_information_score: 104.0138, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5337, predictive_accuracy: 0.536, prior_entropy: 0.9981, recall: 0.536, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5091, root_relative_squared_error: 1.0195, scimark_benchmark: 1341.8761, usercpu_time_millis: 300, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5306, f_measure: 0.535, kappa: 0.0677, kb_relative_information_score: 105.7289, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5355, predictive_accuracy: 0.5378, prior_entropy: 0.9981, recall: 0.5378, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5095, root_relative_squared_error: 1.0204, scimark_benchmark: 1360.5691, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.5236, kappa: 0.0443, kb_relative_information_score: 108.7982, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5236, predictive_accuracy: 0.5255, prior_entropy: 0.9981, recall: 0.5255, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5175, root_relative_squared_error: 1.0363, scimark_benchmark: 1329.4192, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.3785, kappa: 0.0116, kb_relative_information_score: 34.7227, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5224, predictive_accuracy: 0.4846, prior_entropy: 0.9981, recall: 0.4846, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9999, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5438, f_measure: 0.5428, kappa: 0.0831, kb_relative_information_score: 141.616, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5432, predictive_accuracy: 0.5452, prior_entropy: 0.9981, recall: 0.5452, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0042, scimark_benchmark: 1339.4189, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.549, f_measure: 0.5376, kappa: 0.0754, kb_relative_information_score: 128.534, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.54, predictive_accuracy: 0.5429, prior_entropy: 0.9981, recall: 0.5429, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0048, scimark_benchmark: 860.584, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5397, f_measure: 0.5322, kappa: 0.0613, kb_relative_information_score: 192.427, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.532, predictive_accuracy: 0.5334, prior_entropy: 0.9981, recall: 0.5334, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5224, root_relative_squared_error: 1.0462, scimark_benchmark: 1363.434, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.548, f_measure: 0.5303, kappa: 0.0579, kb_relative_information_score: 191.5545, mean_absolute_error: 0.4861, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5304, predictive_accuracy: 0.5325, prior_entropy: 0.9981, recall: 0.5325, relative_absolute_error: 0.9747, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0134, scimark_benchmark: 1335.4072, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5523, f_measure: 0.5406, kappa: 0.0781, kb_relative_information_score: 194.1881, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5404, predictive_accuracy: 0.5415, prior_entropy: 0.9981, recall: 0.5415, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0078, scimark_benchmark: 937.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5282, f_measure: 0.52, kappa: 0.0374, kb_relative_information_score: 99.5723, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5202, predictive_accuracy: 0.5225, prior_entropy: 0.9981, recall: 0.5225, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.0237, scimark_benchmark: 887.6719, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5284, f_measure: 0.5214, kappa: 0.0399, kb_relative_information_score: 104.8622, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5214, predictive_accuracy: 0.5234, prior_entropy: 0.9981, recall: 0.5234, relative_absolute_error: 0.9866, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.513, root_relative_squared_error: 1.0274, scimark_benchmark: 925.4974, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1071, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, f_measure: 0.5525, kappa: 0.1023, kb_relative_information_score: 180.664, mean_absolute_error: 0.4873, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5527, predictive_accuracy: 0.5544, prior_entropy: 0.9981, recall: 0.5544, relative_absolute_error: 0.9773, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9987, scimark_benchmark: 1333.5799, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5488, f_measure: 0.5438, kappa: 0.0851, kb_relative_information_score: 132.0411, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5441, predictive_accuracy: 0.5459, prior_entropy: 0.9981, recall: 0.5459, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0001, scimark_benchmark: 942.6843, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5377, f_measure: 0.5369, kappa: 0.0709, kb_relative_information_score: 89.8311, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5369, predictive_accuracy: 0.5387, prior_entropy: 0.9981, recall: 0.5387, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0023, scimark_benchmark: 933.3136, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5233, f_measure: 0.5219, kappa: 0.0413, kb_relative_information_score: 44.9908, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5222, predictive_accuracy: 0.5245, prior_entropy: 0.9981, recall: 0.5245, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0054, scimark_benchmark: 935.5075, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5075, f_measure: 0.5054, kappa: 0.0106, kb_relative_information_score: 7.4098, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5068, predictive_accuracy: 0.5107, prior_entropy: 0.9981, recall: 0.5107, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0068, scimark_benchmark: 1404.1865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.4977, kappa: -0.0077, kb_relative_information_score: -62.4878, mean_absolute_error: 0.5027, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.4975, predictive_accuracy: 0.4982, prior_entropy: 0.9981, recall: 0.4982, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5488, root_relative_squared_error: 1.099, scimark_benchmark: 937.1527, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.501, kappa: -0.0012, kb_relative_information_score: 3.0726, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5007, predictive_accuracy: 0.5015, prior_entropy: 0.9981, recall: 0.5015, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5768, root_relative_squared_error: 1.155, scimark_benchmark: 942.9518, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5054, f_measure: 0.5067, kappa: 0.0107, kb_relative_information_score: 63.1474, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5067, predictive_accuracy: 0.5066, prior_entropy: 0.9981, recall: 0.5066, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.7024, root_relative_squared_error: 1.4066, scimark_benchmark: 930.5999, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

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