OpenML
Supervised Classification on optdigits

Supervised Classification on optdigits

Task 28 Supervised Classification optdigits 21750 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.0882, kappa: 0.1083, kb_relative_information_score: 1085.8473, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 933.8635, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.0882, kappa: 0.1083, kb_relative_information_score: 1085.8473, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 939.7623, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.0882, kappa: 0.1083, kb_relative_information_score: 1085.8473, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 876.8277, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.0882, kappa: 0.1083, kb_relative_information_score: 1085.8473, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 938.4278, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.0882, kappa: 0.1083, kb_relative_information_score: 1085.8473, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 942.1229, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9145, kappa: 0.9045, kb_relative_information_score: 4823.4363, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9167, predictive_accuracy: 0.9141, prior_entropy: 3.3218, recall: 0.9141, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.391, scimark_benchmark: 945.6434, usercpu_time_millis: 15650, usercpu_time_millis_testing: 4800, usercpu_time_millis_training: 10850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9145, kappa: 0.9045, kb_relative_information_score: 4823.4363, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9167, predictive_accuracy: 0.9141, prior_entropy: 3.3218, recall: 0.9141, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.391, scimark_benchmark: 939.7623, usercpu_time_millis: 16160, usercpu_time_millis_testing: 5020, usercpu_time_millis_training: 11140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9145, kappa: 0.9045, kb_relative_information_score: 4823.4363, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9167, predictive_accuracy: 0.9141, prior_entropy: 3.3218, recall: 0.9141, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.391, scimark_benchmark: 942.6953, usercpu_time_millis: 15620, usercpu_time_millis_testing: 4790, usercpu_time_millis_training: 10830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9159, kappa: 0.9061, kb_relative_information_score: 4954.6505, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9181, predictive_accuracy: 0.9155, prior_entropy: 3.3218, recall: 0.9155, relative_absolute_error: 0.1796, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.3963, scimark_benchmark: 911.3823, usercpu_time_millis: 27510, usercpu_time_millis_testing: 9070, usercpu_time_millis_training: 18440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9171, kappa: 0.9075, kb_relative_information_score: 5140.7194, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9193, predictive_accuracy: 0.9167, prior_entropy: 3.3218, recall: 0.9167, relative_absolute_error: 0.0924, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.4221, scimark_benchmark: 945.6434, usercpu_time_millis: 22900, usercpu_time_millis_testing: 8200, usercpu_time_millis_training: 14700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9042, kappa: 0.8936, kb_relative_information_score: 5044.4696, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9043, predictive_accuracy: 0.9043, prior_entropy: 3.3218, recall: 0.9043, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.4452, scimark_benchmark: 1054.3694, usercpu_time_millis: 610, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.032, kappa: -0.0004, kb_relative_information_score: 0.7676, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0206, predictive_accuracy: 0.1014, prior_entropy: 3.3218, recall: 0.1014, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.9101, kappa: 0.9002, kb_relative_information_score: 5091.9042, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9104, predictive_accuracy: 0.9101, prior_entropy: 3.3218, recall: 0.9101, relative_absolute_error: 0.0998, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.4469, scimark_benchmark: 1028.5889, usercpu_time_millis: 121430, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 121420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.9101, kappa: 0.9002, kb_relative_information_score: 5091.9042, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9104, predictive_accuracy: 0.9101, prior_entropy: 3.3218, recall: 0.9101, relative_absolute_error: 0.0998, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.4469, scimark_benchmark: 1054.3694, usercpu_time_millis: 151290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 151280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9842, kappa: 0.9824, kb_relative_information_score: 5514.3156, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9842, predictive_accuracy: 0.9842, prior_entropy: 3.3218, recall: 0.9842, relative_absolute_error: 0.0274, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.053, root_relative_squared_error: 0.1765, scimark_benchmark: 889.9795, usercpu_time_millis: 387750, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 387550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5921, f_measure: 0.2175, kappa: 0.1841, kb_relative_information_score: 1303.5047, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.2096, predictive_accuracy: 0.2658, prior_entropy: 3.3218, recall: 0.2658, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3832, root_relative_squared_error: 1.2773, scimark_benchmark: 1465.2979, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.928, kappa: 0.9199, kb_relative_information_score: 5185.1529, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9281, predictive_accuracy: 0.9279, prior_entropy: 3.3218, recall: 0.9279, relative_absolute_error: 0.0861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.3929, scimark_benchmark: 1341.2341, usercpu_time_millis: 1590, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5135, f_measure: 0.0589, kappa: 0.027, kb_relative_information_score: 467.7563, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.708, predictive_accuracy: 0.123, prior_entropy: 3.3218, recall: 0.123, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4188, root_relative_squared_error: 1.3961, scimark_benchmark: 1384.4418, usercpu_time_millis: 24210, usercpu_time_millis_testing: 5280, usercpu_time_millis_training: 18930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9179, kappa: 0.9085, kb_relative_information_score: 5135.8486, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9219, predictive_accuracy: 0.9176, prior_entropy: 3.3218, recall: 0.9176, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.4279, scimark_benchmark: 1353.6735, usercpu_time_millis: 15940, usercpu_time_millis_testing: 11260, usercpu_time_millis_training: 4680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.902, kappa: 0.8911, kb_relative_information_score: 4999.7236, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9023, predictive_accuracy: 0.902, prior_entropy: 3.3218, recall: 0.902, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.4421, scimark_benchmark: 1355.7054, usercpu_time_millis: 2870, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.8956, kappa: 0.8839, kb_relative_information_score: 4923.414, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8958, predictive_accuracy: 0.8956, prior_entropy: 3.3218, recall: 0.8956, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.4461, scimark_benchmark: 1280.6952, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8667, kappa: 0.8517, kb_relative_information_score: 4835.7788, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.867, predictive_accuracy: 0.8665, prior_entropy: 3.3218, recall: 0.8665, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.5446, scimark_benchmark: 1319.9043, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 5116.1041, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.2859, scimark_benchmark: 1316.0472, usercpu_time_millis: 3340, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 2960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8935, kappa: 0.8816, kb_relative_information_score: 4864.0233, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8942, predictive_accuracy: 0.8934, prior_entropy: 3.3218, recall: 0.8934, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.4312, scimark_benchmark: 1316.0472, usercpu_time_millis: 280050, usercpu_time_millis_testing: 4160, usercpu_time_millis_training: 275890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.7841, kappa: 0.7012, kb_relative_information_score: 4039.4218, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.927, predictive_accuracy: 0.731, prior_entropy: 3.3218, recall: 0.731, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.232, root_relative_squared_error: 0.7732, scimark_benchmark: 1250.8301, usercpu_time_millis: 37260, usercpu_time_millis_testing: 16030, usercpu_time_millis_training: 21230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9542, kappa: 0.949, kb_relative_information_score: 5350.2573, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9545, predictive_accuracy: 0.9541, prior_entropy: 3.3218, recall: 0.9541, relative_absolute_error: 0.051, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0958, root_relative_squared_error: 0.3194, scimark_benchmark: 1304.9611, usercpu_time_millis: 1460, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9716, kappa: 0.9684, kb_relative_information_score: 5429.0648, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9716, predictive_accuracy: 0.9715, prior_entropy: 3.3218, recall: 0.9715, relative_absolute_error: 0.0527, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0676, root_relative_squared_error: 0.2254, scimark_benchmark: 916.5955, usercpu_time_millis: 16010, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 15940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9824, kappa: 0.9804, kb_relative_information_score: 1681.9086, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9825, predictive_accuracy: 0.9824, prior_entropy: 3.3218, recall: 0.9824, relative_absolute_error: 0.8897, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.9061, scimark_benchmark: 1369.9744, usercpu_time_millis: 1650, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9709, kappa: 0.9676, kb_relative_information_score: 1677.7922, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9711, predictive_accuracy: 0.9708, prior_entropy: 3.3218, recall: 0.9708, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9078, scimark_benchmark: 1363.434, usercpu_time_millis: 38030, usercpu_time_millis_testing: 30140, usercpu_time_millis_training: 7890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9879, kappa: 0.9866, kb_relative_information_score: 5546.8718, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.988, predictive_accuracy: 0.9879, prior_entropy: 3.3218, recall: 0.9879, relative_absolute_error: 0.0191, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1544, scimark_benchmark: 939.5205, usercpu_time_millis: 11470, usercpu_time_millis_testing: 11470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9854, kappa: 0.9838, kb_relative_information_score: 5539.7432, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9856, predictive_accuracy: 0.9854, prior_entropy: 3.3218, recall: 0.9854, relative_absolute_error: 0.0227, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.156, scimark_benchmark: 916.6405, usercpu_time_millis: 12270, usercpu_time_millis_testing: 12270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.0882, kappa: 0.1083, kb_relative_information_score: 1085.8473, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 915.9324, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.0882, kappa: 0.1083, kb_relative_information_score: 1085.8473, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 942.9518, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.0882, kappa: 0.1083, kb_relative_information_score: 1085.8473, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 1442.7264, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.0882, kappa: 0.1083, kb_relative_information_score: 1085.8473, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.0578, predictive_accuracy: 0.1975, prior_entropy: 3.3218, recall: 0.1975, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.9684, scimark_benchmark: 915.6729, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 4989.8616, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.219, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.3229, scimark_benchmark: 854.5188, usercpu_time_millis: 5970, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 5810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.8657, kappa: 0.849, kb_relative_information_score: 4844.1526, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8827, predictive_accuracy: 0.8641, prior_entropy: 3.3218, recall: 0.8641, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.5319, scimark_benchmark: 1314.0383, usercpu_time_millis: 2440, usercpu_time_millis_testing: 1160, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.78, kappa: 0.7568, kb_relative_information_score: 4342.5964, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.7796, predictive_accuracy: 0.7811, prior_entropy: 3.3218, recall: 0.7811, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.6398, scimark_benchmark: 904.3681, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8728, kappa: 0.8588, kb_relative_information_score: 4877.7561, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8727, predictive_accuracy: 0.873, prior_entropy: 3.3218, recall: 0.873, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.511, scimark_benchmark: 1151.3336, usercpu_time_millis: 1190, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9227, kappa: 0.9136, kb_relative_information_score: 5181.4174, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9243, predictive_accuracy: 0.9222, prior_entropy: 3.3218, recall: 0.9222, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.3913, scimark_benchmark: 1341.4232, usercpu_time_millis: 380, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9723, kappa: 0.9692, kb_relative_information_score: 5455.2986, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9724, predictive_accuracy: 0.9722, prior_entropy: 3.3218, recall: 0.9722, relative_absolute_error: 0.0414, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.221, scimark_benchmark: 1343.5291, usercpu_time_millis: 30260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.9002, kappa: 0.8893, kb_relative_information_score: 4998.5671, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9005, predictive_accuracy: 0.9004, prior_entropy: 3.3218, recall: 0.9004, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.135, root_relative_squared_error: 0.4501, scimark_benchmark: 1326.8946, usercpu_time_millis: 3100, usercpu_time_millis_training: 3100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.81, kappa: 0.7894, kb_relative_information_score: 4200.1971, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.811, predictive_accuracy: 0.8105, prior_entropy: 3.3218, recall: 0.8105, relative_absolute_error: 0.3847, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5684, scimark_benchmark: 1345.842, usercpu_time_millis: 12170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 12160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9712, kappa: 0.968, kb_relative_information_score: 5445.8192, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9713, predictive_accuracy: 0.9712, prior_entropy: 3.3218, recall: 0.9712, relative_absolute_error: 0.0442, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0674, root_relative_squared_error: 0.2248, scimark_benchmark: 1086.8793, usercpu_time_millis: 57660, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 57610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9752, kappa: 0.9725, kb_relative_information_score: 5474.0429, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9752, predictive_accuracy: 0.9753, prior_entropy: 3.3218, recall: 0.9753, relative_absolute_error: 0.0286, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0697, root_relative_squared_error: 0.2323, scimark_benchmark: 912.7324, usercpu_time_millis: 12030, usercpu_time_millis_testing: 2680, usercpu_time_millis_training: 9350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9481, kappa: 0.9423, kb_relative_information_score: 5272.3843, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9482, predictive_accuracy: 0.948, prior_entropy: 3.3218, recall: 0.948, relative_absolute_error: 0.0978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.2954, scimark_benchmark: 1324.5988, usercpu_time_millis: 10170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9703, kappa: 0.967, kb_relative_information_score: 4984.2259, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9704, predictive_accuracy: 0.9703, prior_entropy: 3.3218, recall: 0.9703, relative_absolute_error: 0.2182, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.099, root_relative_squared_error: 0.3301, scimark_benchmark: 1318.8785, usercpu_time_millis: 2440, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 2360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.81, kappa: 0.7894, kb_relative_information_score: 4200.1971, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.811, predictive_accuracy: 0.8105, prior_entropy: 3.3218, recall: 0.8105, relative_absolute_error: 0.3847, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5684, scimark_benchmark: 1329.8902, usercpu_time_millis: 12350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 12340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9735, kappa: 0.9705, kb_relative_information_score: 5476.1761, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9736, predictive_accuracy: 0.9735, prior_entropy: 3.3218, recall: 0.9735, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.2172, scimark_benchmark: 1301.2156, usercpu_time_millis: 84870, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 84850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 5116.1041, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.2859, scimark_benchmark: 1318.5627, usercpu_time_millis: 3540, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 3170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.78, kappa: 0.7568, kb_relative_information_score: 4342.5964, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.7796, predictive_accuracy: 0.7811, prior_entropy: 3.3218, recall: 0.7811, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.6398, scimark_benchmark: 933.1165, usercpu_time_millis: 270, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9227, kappa: 0.9136, kb_relative_information_score: 5181.4174, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9243, predictive_accuracy: 0.9222, prior_entropy: 3.3218, recall: 0.9222, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.3913, scimark_benchmark: 938.0414, usercpu_time_millis: 420, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 5475.13, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2215, scimark_benchmark: 932.5646, usercpu_time_millis: 960, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 5116.1041, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.2859, scimark_benchmark: 1322.7257, usercpu_time_millis: 3030, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 2600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8935, kappa: 0.8816, kb_relative_information_score: 4864.0233, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8942, predictive_accuracy: 0.8934, prior_entropy: 3.3218, recall: 0.8934, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.4312, scimark_benchmark: 1281.7531, usercpu_time_millis: 295590, usercpu_time_millis_testing: 4300, usercpu_time_millis_training: 291290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.7841, kappa: 0.7012, kb_relative_information_score: 4039.4218, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.927, predictive_accuracy: 0.731, prior_entropy: 3.3218, recall: 0.731, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.232, root_relative_squared_error: 0.7732, scimark_benchmark: 1350.007, usercpu_time_millis: 44260, usercpu_time_millis_testing: 20950, usercpu_time_millis_training: 23310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.78, kappa: 0.7568, kb_relative_information_score: 4342.5964, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.7796, predictive_accuracy: 0.7811, prior_entropy: 3.3218, recall: 0.7811, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.6398, scimark_benchmark: 1260.1387, usercpu_time_millis: 180, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9769, kappa: 0.9743, kb_relative_information_score: 5495.5424, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.977, predictive_accuracy: 0.9769, prior_entropy: 3.3218, recall: 0.9769, relative_absolute_error: 0.0276, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2052, scimark_benchmark: 1417.3093, usercpu_time_millis: 69730, usercpu_time_millis_testing: 62370, usercpu_time_millis_training: 7360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 5116.1041, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.2859, scimark_benchmark: 1404.0159, usercpu_time_millis: 4670, usercpu_time_millis_testing: 790, usercpu_time_millis_training: 3880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 5475.13, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2215, scimark_benchmark: 1350.0252, usercpu_time_millis: 620, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 5475.13, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2215, scimark_benchmark: 1316.7198, usercpu_time_millis: 650, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 5116.1041, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.2859, scimark_benchmark: 1286.0816, usercpu_time_millis: 3170, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 2710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 5475.13, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2215, scimark_benchmark: 1336.4701, usercpu_time_millis: 710, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 5475.13, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 3.3218, recall: 0.9744, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.2215, scimark_benchmark: 1371.174, usercpu_time_millis: 790, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 180,

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