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: 0.4753, 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: 906.0979,
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: 972.587, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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: 934.3687, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
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: 942.2392,
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: 941.6675,
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: 941.6675, 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: 934.695,
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: 905.2959,
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: 944.1783, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, 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: 944.1783, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
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: 974.2014, usercpu_time_millis: 10, 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: 943.1009, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, 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: 942.2392, 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: 908.9569, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 936.2574, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
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: 940.1221, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, 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: 926.5462, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
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: 930.404, 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: 933.3455, 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: 903.2737, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, 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: 945.6228, 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: 938.988, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.9023, kappa: 0.397, kb_relative_information_score: 707.0287, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.9064, predictive_accuracy: 0.9178, prior_entropy: 0.4808, recall: 0.9178, relative_absolute_error: 0.6741, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.8202, scimark_benchmark: 904.5548, usercpu_time_millis: 9430, usercpu_time_millis_testing: 3100, usercpu_time_millis_training: 6330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8987, kappa: 0.3734, kb_relative_information_score: 700.1905, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.9021, predictive_accuracy: 0.9152, prior_entropy: 0.4808, recall: 0.9152, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.8245, scimark_benchmark: 859.5223, usercpu_time_millis: 4490, usercpu_time_millis_testing: 1530, usercpu_time_millis_training: 2960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8975, kappa: 0.3693, kb_relative_information_score: 682.5481, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8988, predictive_accuracy: 0.9133, prior_entropy: 0.4808, recall: 0.9133, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.8291, scimark_benchmark: 929.7512, usercpu_time_millis: 1980, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.9012, kappa: 0.3939, kb_relative_information_score: 705.7229, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.903, predictive_accuracy: 0.9159, prior_entropy: 0.4808, recall: 0.9159, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.8262, scimark_benchmark: 890.4736, usercpu_time_millis: 1060, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.9011, kappa: 0.398, kb_relative_information_score: 712.707, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.901, predictive_accuracy: 0.9146, prior_entropy: 0.4808, recall: 0.9146, relative_absolute_error: 0.6646, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.8364, scimark_benchmark: 920.5394, usercpu_time_millis: 420, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.8996, kappa: 0.3893, kb_relative_information_score: 549.2597, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8991, predictive_accuracy: 0.9133, prior_entropy: 0.4808, recall: 0.9133, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.8854, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.8996, kappa: 0.3893, kb_relative_information_score: 549.3317, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8991, predictive_accuracy: 0.9133, prior_entropy: 0.4808, recall: 0.9133, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.8854, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.9002, kappa: 0.3933, kb_relative_information_score: 545.0659, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8997, predictive_accuracy: 0.9136, prior_entropy: 0.4808, recall: 0.9136, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.8851, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.9003, kappa: 0.3878, kb_relative_information_score: 568.1389, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.9022, predictive_accuracy: 0.9153, prior_entropy: 0.4808, recall: 0.9153, relative_absolute_error: 0.6407, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.8768, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.8962, kappa: 0.3542, kb_relative_information_score: 427.3779, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.9009, predictive_accuracy: 0.9142, prior_entropy: 0.4808, recall: 0.9142, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.8683, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.876, kappa: 0.2032, kb_relative_information_score: 1712.0028, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8867, predictive_accuracy: 0.9053, prior_entropy: 0.4808, recall: 0.9053, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.9884, scimark_benchmark: 936.1714, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.8765, kappa: 0.2032, kb_relative_information_score: 1696.9018, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8922, predictive_accuracy: 0.9066, prior_entropy: 0.4808, recall: 0.9066, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.9876, scimark_benchmark: 936.1714, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.8621, kappa: 0.0967, kb_relative_information_score: 1507.1541, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8796, predictive_accuracy: 0.9009, prior_entropy: 0.4808, recall: 0.9009, relative_absolute_error: 0.5385, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.31, root_relative_squared_error: 1.0229, scimark_benchmark: 929.0296, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.8598, kappa: 0.0797, kb_relative_information_score: 1471.3166, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8772, predictive_accuracy: 0.9002, prior_entropy: 0.4808, recall: 0.9002, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3113, root_relative_squared_error: 1.0274, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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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: 1366.7181,
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: 1366.7181, usercpu_time_millis: 10, usercpu_time_millis_training: 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: 1324.6442,
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: 1375.1578, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
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: 1313.11,
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: 1342.8584, 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: 1337.9552, 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: 1347.1763, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1309.2287, usercpu_time_millis: 680, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 570,
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: 1393.8432,
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: 1342.8584, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
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: 1342.2845,
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: 1326.2019,
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: 1332.9478, usercpu_time_millis: 10, usercpu_time_millis_training: 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: 1337.3324,
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: 1332.7986,
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: 1342.2845, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 1310.6554,
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: 1320.8283, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, 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: 1320.8283, 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: 1393.8432,
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: 1320.1171, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.8913, kappa: 0.3956, kb_relative_information_score: 1065.9855, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1848, number_of_instances: 5280, precision: 0.8892, predictive_accuracy: 0.8936, prior_entropy: 0.4808, recall: 0.8936, relative_absolute_error: 0.5889, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.9944, scimark_benchmark: 1322.5413, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
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: 1325.3966, usercpu_time_millis: 190, usercpu_time_millis_training: 190,

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