OpenML
Supervised Classification on meta

Supervised Classification on meta

Task 4328 Supervised Classification meta 219 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.9049, kappa: 0.4236, kb_relative_information_score: 459.3364, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.9053, predictive_accuracy: 0.9174, prior_entropy: 0.4808, recall: 0.9174, relative_absolute_error: 0.6741, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.8504, scimark_benchmark: 1350.1007, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
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: 0.8577, f_measure: 0.892, kappa: 0.3783, kb_relative_information_score: 11.0025, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8876, predictive_accuracy: 0.8987, prior_entropy: 0.4808, recall: 0.8987, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.9148, scimark_benchmark: 1342.6744, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.892, kappa: 0.3783, kb_relative_information_score: 11.0025, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8876, predictive_accuracy: 0.8987, prior_entropy: 0.4808, recall: 0.8987, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.9148, scimark_benchmark: 1342.9012, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.8537, kappa: 0.04, kb_relative_information_score: -483.182, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8451, predictive_accuracy: 0.8955, prior_entropy: 0.4808, recall: 0.8955, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.9115, scimark_benchmark: 1329.5628, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.9026, kappa: 0.3954, kb_relative_information_score: 1346.1743, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.9094, predictive_accuracy: 0.9191, prior_entropy: 0.4808, recall: 0.9191, relative_absolute_error: 0.5727, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.8279, scimark_benchmark: 1299.6719, usercpu_time_millis: 960, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.892, kappa: 0.3783, kb_relative_information_score: 11.0025, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8876, predictive_accuracy: 0.8987, prior_entropy: 0.4808, recall: 0.8987, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.9148, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8702, kappa: 0.1545, kb_relative_information_score: 14.2359, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8924, predictive_accuracy: 0.9047, prior_entropy: 0.4808, recall: 0.9047, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.8435, scimark_benchmark: 1303.3869, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.8493, kb_relative_information_score: 20.7978, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0001, scimark_benchmark: 1349.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.8493, kb_relative_information_score: -66.1849, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0001, scimark_benchmark: 1371.4836, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8493, kb_relative_information_score: 1380.6378, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3198, root_relative_squared_error: 1.0554, scimark_benchmark: 1286.0816, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8493, kb_relative_information_score: 1380.6378, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3198, root_relative_squared_error: 1.0554, scimark_benchmark: 1325.6322, usercpu_time_millis: 200, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.892, kappa: 0.3783, kb_relative_information_score: 11.0025, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8876, predictive_accuracy: 0.8987, prior_entropy: 0.4808, recall: 0.8987, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.9148, scimark_benchmark: 1333.9912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.9169, kappa: 0.5239, kb_relative_information_score: 1927.6014, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.9145, predictive_accuracy: 0.9214, prior_entropy: 0.4808, recall: 0.9214, relative_absolute_error: 0.5423, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.8639, scimark_benchmark: 1348.2804, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8702, kappa: 0.1545, kb_relative_information_score: 14.2359, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8924, predictive_accuracy: 0.9047, prior_entropy: 0.4808, recall: 0.9047, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.8435, scimark_benchmark: 1260.1387, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8493, kb_relative_information_score: 1380.6378, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3198, root_relative_squared_error: 1.0554, scimark_benchmark: 1315.5063, usercpu_time_millis: 200, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8702, kappa: 0.1545, kb_relative_information_score: 14.2359, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8924, predictive_accuracy: 0.9047, prior_entropy: 0.4808, recall: 0.9047, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.8435, scimark_benchmark: 1260.1387, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.892, kappa: 0.3783, kb_relative_information_score: 11.0025, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8876, predictive_accuracy: 0.8987, prior_entropy: 0.4808, recall: 0.8987, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.9148, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.9169, kappa: 0.5239, kb_relative_information_score: 1927.6014, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.9145, predictive_accuracy: 0.9214, prior_entropy: 0.4808, recall: 0.9214, relative_absolute_error: 0.5423, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.8639, scimark_benchmark: 1344.4042, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8702, kappa: 0.1545, kb_relative_information_score: 14.2359, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8924, predictive_accuracy: 0.9047, prior_entropy: 0.4808, recall: 0.9047, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.8435, scimark_benchmark: 1281.7531, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.9079, kappa: 0.4699, kb_relative_information_score: 855.0128, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.9048, predictive_accuracy: 0.9134, prior_entropy: 0.4808, recall: 0.9134, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.898, scimark_benchmark: 942.9708, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.892, kappa: 0.3783, kb_relative_information_score: 11.0025, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8876, predictive_accuracy: 0.8987, prior_entropy: 0.4808, recall: 0.8987, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.9148, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.892, kappa: 0.3783, kb_relative_information_score: 11.0025, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8876, predictive_accuracy: 0.8987, prior_entropy: 0.4808, recall: 0.8987, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.9148, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.8493, kb_relative_information_score: 208.5305, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.9169, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.9351, scimark_benchmark: 1331.7205, usercpu_time_millis: 240, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.892, kappa: 0.3783, kb_relative_information_score: 11.0025, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8876, predictive_accuracy: 0.8987, prior_entropy: 0.4808, recall: 0.8987, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.9148, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8712, kappa: 0.1634, kb_relative_information_score: -1601.542, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8901, predictive_accuracy: 0.9047, prior_entropy: 0.4808, recall: 0.9047, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.8786, scimark_benchmark: 1327.5791, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.8493, kb_relative_information_score: -907.2386, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.9529, scimark_benchmark: 1341.2425, usercpu_time_millis: 1840, usercpu_time_millis_testing: 1840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.888, kappa: 0.2974, kb_relative_information_score: -1329.6132, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.892, predictive_accuracy: 0.9091, prior_entropy: 0.4808, recall: 0.9091, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.8766, scimark_benchmark: 1295.0797, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.8036, kappa: 0.2788, kb_relative_information_score: -4158.6451, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8913, predictive_accuracy: 0.7602, prior_entropy: 0.4808, recall: 0.7602, relative_absolute_error: 1.3015, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.4696, root_relative_squared_error: 1.5499, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.892, kappa: 0.3783, kb_relative_information_score: 11.0025, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8876, predictive_accuracy: 0.8987, prior_entropy: 0.4808, recall: 0.8987, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.9148, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.8493, kb_relative_information_score: 20.7978, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0001, scimark_benchmark: 1346.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.892, kappa: 0.3783, kb_relative_information_score: 11.0025, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8876, predictive_accuracy: 0.8987, prior_entropy: 0.4808, recall: 0.8987, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.9148, scimark_benchmark: 1151.6869, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.888, kappa: 0.2974, kb_relative_information_score: -1329.6132, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.892, predictive_accuracy: 0.9091, prior_entropy: 0.4808, recall: 0.9091, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.8766, scimark_benchmark: 1314.7093, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, f_measure: 0.8757, kappa: 0.2576, kb_relative_information_score: 429.816, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8681, predictive_accuracy: 0.8894, prior_entropy: 0.4808, recall: 0.8894, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3182, root_relative_squared_error: 1.0501, scimark_benchmark: 1328.941, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8945, kappa: 0.3601, kb_relative_information_score: 482.228, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.892, predictive_accuracy: 0.9083, prior_entropy: 0.4808, recall: 0.9083, relative_absolute_error: 0.6849, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.264, root_relative_squared_error: 0.8714, scimark_benchmark: 892.0148, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8499, kappa: 0.0065, kb_relative_information_score: -498.8176, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8318, predictive_accuracy: 0.8966, prior_entropy: 0.4808, recall: 0.8966, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.9031, scimark_benchmark: 892.0148, usercpu_time_millis: 540, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5464, f_measure: 0.8384, kappa: 0.0977, kb_relative_information_score: -693.0611, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8344, predictive_accuracy: 0.8426, prior_entropy: 0.4808, recall: 0.8426, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3967, root_relative_squared_error: 1.3093, scimark_benchmark: 1320.9026, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.8515, kappa: 0.0157, kb_relative_information_score: 180.2839, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8797, predictive_accuracy: 0.8983, prior_entropy: 0.4808, recall: 0.8983, relative_absolute_error: 0.9138, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.935, scimark_benchmark: 1347.5461, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, f_measure: 0.8599, kappa: 0.1753, kb_relative_information_score: 293.9887, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8505, predictive_accuracy: 0.8725, prior_entropy: 0.4808, recall: 0.8725, relative_absolute_error: 0.7001, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.337, root_relative_squared_error: 1.112, scimark_benchmark: 1332.576, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.8949, kappa: 0.3627, kb_relative_information_score: 492.6841, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8925, predictive_accuracy: 0.9087, prior_entropy: 0.4808, recall: 0.9087, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.8699, scimark_benchmark: 1360.2771, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.8513, kappa: 0.0178, kb_relative_information_score: -585.1935, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8426, predictive_accuracy: 0.8966, prior_entropy: 0.4808, recall: 0.8966, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.903, scimark_benchmark: 882.7843, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.8524, kappa: 0.0266, kb_relative_information_score: -549.4167, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8481, predictive_accuracy: 0.8968, prior_entropy: 0.4808, recall: 0.8968, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.9049, scimark_benchmark: 1304.9611, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.8493, kb_relative_information_score: 20.7978, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0001, scimark_benchmark: 939.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, f_measure: 0.8942, kappa: 0.3413, kb_relative_information_score: 853.398, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8983, predictive_accuracy: 0.9127, prior_entropy: 0.4808, recall: 0.9127, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.8653, scimark_benchmark: 1333.5799, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8909, kappa: 0.3147, kb_relative_information_score: 684.9615, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8974, predictive_accuracy: 0.9117, prior_entropy: 0.4808, recall: 0.9117, relative_absolute_error: 0.6511, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.8642, scimark_benchmark: 939.5205, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8888, kappa: 0.297, kb_relative_information_score: 535.6882, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8977, predictive_accuracy: 0.9114, prior_entropy: 0.4808, recall: 0.9114, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.8661, scimark_benchmark: 933.3136, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8794, kappa: 0.2277, kb_relative_information_score: 321.6852, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8898, predictive_accuracy: 0.9068, prior_entropy: 0.4808, recall: 0.9068, relative_absolute_error: 0.7033, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.8869, scimark_benchmark: 937.1527, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.8661, kappa: 0.1289, kb_relative_information_score: -234.552, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.877, predictive_accuracy: 0.9013, prior_entropy: 0.4808, recall: 0.9013, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.9206, scimark_benchmark: 1336.3256, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.8493, kb_relative_information_score: -907.7255, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.9528, scimark_benchmark: 1325.2092, usercpu_time_millis: 90, usercpu_time_millis_testing: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.8493, kb_relative_information_score: -907.7255, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.9528, scimark_benchmark: 940.3347, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.909, kappa: 0.4864, kb_relative_information_score: 1936.4746, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.9066, predictive_accuracy: 0.9125, prior_entropy: 0.4808, recall: 0.9125, relative_absolute_error: 0.4734, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.9762, scimark_benchmark: 1313.9994, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8493, kb_relative_information_score: 1380.6378, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3198, root_relative_squared_error: 1.0554, scimark_benchmark: 1287.514, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.9024, kappa: 0.4144, kb_relative_information_score: 1979.2313, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.9004, predictive_accuracy: 0.9136, prior_entropy: 0.4808, recall: 0.9136, relative_absolute_error: 0.4673, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.9699, scimark_benchmark: 1318.5526, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.9045, kappa: 0.4199, kb_relative_information_score: 444.7171, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.9053, predictive_accuracy: 0.9174, prior_entropy: 0.4808, recall: 0.9174, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.8468, scimark_benchmark: 918.6005, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5464, f_measure: 0.8384, kappa: 0.0977, kb_relative_information_score: -693.0611, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8344, predictive_accuracy: 0.8426, prior_entropy: 0.4808, recall: 0.8426, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3967, root_relative_squared_error: 1.3093, scimark_benchmark: 938.9967, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.9026, kappa: 0.3954, kb_relative_information_score: 1346.1743, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.9094, predictive_accuracy: 0.9191, prior_entropy: 0.4808, recall: 0.9191, relative_absolute_error: 0.5727, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.8279, scimark_benchmark: 938.0414, usercpu_time_millis: 2150, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.8926, kappa: 0.3586, kb_relative_information_score: 288.2501, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8883, predictive_accuracy: 0.9044, prior_entropy: 0.4808, recall: 0.9044, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.9025, scimark_benchmark: 1307.4861, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8702, kappa: 0.1545, kb_relative_information_score: 14.2359, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8924, predictive_accuracy: 0.9047, prior_entropy: 0.4808, recall: 0.9047, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.8435, scimark_benchmark: 825.5282, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7307, f_measure: 0.869, kappa: 0.1713, kb_relative_information_score: -251.2577, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8634, predictive_accuracy: 0.8956, prior_entropy: 0.4808, recall: 0.8956, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.9911, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5146, f_measure: 0.8502, kappa: 0.0093, kb_relative_information_score: -31.466, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8356, predictive_accuracy: 0.8966, prior_entropy: 0.4808, recall: 0.8966, relative_absolute_error: 0.9803, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.9976, scimark_benchmark: 1321.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5699, f_measure: 0.8599, kappa: 0.1065, kb_relative_information_score: -14.3458, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8488, predictive_accuracy: 0.8907, prior_entropy: 0.4808, recall: 0.8907, relative_absolute_error: 0.924, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3095, root_relative_squared_error: 1.0216, scimark_benchmark: 1359.379, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.8548, kappa: 0.2565, kb_relative_information_score: -536.2866, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8644, predictive_accuracy: 0.8468, prior_entropy: 0.4808, recall: 0.8468, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3914, root_relative_squared_error: 1.2918, scimark_benchmark: 1318.1432, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.535, f_measure: 0.8131, kappa: 0.0604, kb_relative_information_score: -2296.4366, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8278, predictive_accuracy: 0.8, prior_entropy: 0.4808, recall: 0.8, relative_absolute_error: 1.0821, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.4759, scimark_benchmark: 986.8456, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.8814, kappa: 0.2876, kb_relative_information_score: -45.4374, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8749, predictive_accuracy: 0.8953, prior_entropy: 0.4808, recall: 0.8953, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.29, root_relative_squared_error: 0.9571, scimark_benchmark: 1330.0803, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.8722, kappa: 0.2, kb_relative_information_score: 1302.2505, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8662, predictive_accuracy: 0.8956, prior_entropy: 0.4808, recall: 0.8956, relative_absolute_error: 0.5646, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.323, root_relative_squared_error: 1.0661, scimark_benchmark: 1465.2979,

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