Task
Supervised Classification on sylva_agnostic

Supervised Classification on sylva_agnostic

Task 3889 Supervised Classification sylva_agnostic 60368 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9892, kappa: 0.9045, kb_relative_information_score: 9924.4242, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9892, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.2271, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.3941, scimark_benchmark: 1365.5819, usercpu_time_millis: 236.818, usercpu_time_millis_testing: 1.977, usercpu_time_millis_training: 234.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9931, kappa: 0.9405, kb_relative_information_score: 12169.8112, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.3338, recall: 0.9931, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.3076, scimark_benchmark: 1371.8773, usercpu_time_millis: 1402.494, usercpu_time_millis_testing: 4.936, usercpu_time_millis_training: 1397.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.941, kappa: 0.392, kb_relative_information_score: 1399.3146, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9544, predictive_accuracy: 0.9538, prior_entropy: 0.3338, recall: 0.9538, relative_absolute_error: 0.5971, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.6833, scimark_benchmark: 1369.6409, usercpu_time_millis: 113.607, usercpu_time_millis_testing: 3.017, usercpu_time_millis_training: 110.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.98, kappa: 0.8154, kb_relative_information_score: 4674.9988, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9812, predictive_accuracy: 0.9813, prior_entropy: 0.3338, recall: 0.9813, relative_absolute_error: 0.4438, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.5416, scimark_benchmark: 1368.3434, usercpu_time_millis: 12.571, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 12.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9885, kappa: 0.898, kb_relative_information_score: 7773.1333, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9886, predictive_accuracy: 0.9888, prior_entropy: 0.3338, recall: 0.9888, relative_absolute_error: 0.2954, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.4309, scimark_benchmark: 1366.0499, usercpu_time_millis: 440.909, usercpu_time_millis_testing: 3.503, usercpu_time_millis_training: 437.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9849, kappa: 0.8646, kb_relative_information_score: 9501.5774, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.985, predictive_accuracy: 0.9854, prior_entropy: 0.3338, recall: 0.9854, relative_absolute_error: 0.2305, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.4399, scimark_benchmark: 1363.2854, usercpu_time_millis: 1784.452, usercpu_time_millis_testing: 3.897, usercpu_time_millis_training: 1780.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9722, kappa: 0.7375, kb_relative_information_score: 1298.8219, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9747, predictive_accuracy: 0.9749, prior_entropy: 0.3338, recall: 0.9749, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.6957, scimark_benchmark: 1370.203, usercpu_time_millis: 1093.146, usercpu_time_millis_testing: 3.172, usercpu_time_millis_training: 1089.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9925, kappa: 0.9346, kb_relative_information_score: 11330.8077, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9924, predictive_accuracy: 0.9925, prior_entropy: 0.3338, recall: 0.9925, relative_absolute_error: 0.1589, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.3302, scimark_benchmark: 1369.3579, usercpu_time_millis: 270.974, usercpu_time_millis_testing: 1.263, usercpu_time_millis_training: 269.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9926, kappa: 0.9352, kb_relative_information_score: 11277.9277, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9926, predictive_accuracy: 0.9926, prior_entropy: 0.3338, recall: 0.9926, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.08, root_relative_squared_error: 0.333, scimark_benchmark: 1367.3604, usercpu_time_millis: 300.726, usercpu_time_millis_testing: 3.928, usercpu_time_millis_training: 296.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9934, kappa: 0.9433, kb_relative_information_score: 12174.7896, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.3338, recall: 0.9934, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0741, root_relative_squared_error: 0.3084, scimark_benchmark: 1368.182, usercpu_time_millis: 823.531, usercpu_time_millis_testing: 2.095, usercpu_time_millis_training: 821.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9907, kappa: 0.9181, kb_relative_information_score: 10503.8614, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9907, predictive_accuracy: 0.9908, prior_entropy: 0.3338, recall: 0.9908, relative_absolute_error: 0.1897, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.3823, scimark_benchmark: 1366.1101, usercpu_time_millis: 1569.646, usercpu_time_millis_testing: 4.849, usercpu_time_millis_training: 1564.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.9087, kb_relative_information_score: 0.4855, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1, scimark_benchmark: 1368.241, usercpu_time_millis: 17.449, usercpu_time_millis_testing: 2.799, usercpu_time_millis_training: 14.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9943, kappa: 0.9508, kb_relative_information_score: 11980.3452, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.3338, recall: 0.9943, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.2988, scimark_benchmark: 1366.5058, usercpu_time_millis: 272.438, usercpu_time_millis_testing: 2.005, usercpu_time_millis_training: 270.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9676, kappa: 0.6897, kb_relative_information_score: 1395.0176, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9713, predictive_accuracy: 0.9714, prior_entropy: 0.3338, recall: 0.9714, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.164, root_relative_squared_error: 0.6822, scimark_benchmark: 1364.3298, usercpu_time_millis: 16.633, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 16.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9886, kappa: 0.8984, kb_relative_information_score: 7693.9583, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9887, predictive_accuracy: 0.9889, prior_entropy: 0.3338, recall: 0.9889, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1042, root_relative_squared_error: 0.4337, scimark_benchmark: 1365.4588, usercpu_time_millis: 631.104, usercpu_time_millis_testing: 3.604, usercpu_time_millis_training: 627.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9886, kappa: 0.899, kb_relative_information_score: 7886.897, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9888, predictive_accuracy: 0.989, prior_entropy: 0.3338, recall: 0.989, relative_absolute_error: 0.3384, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.4414, scimark_benchmark: 1351.2342, usercpu_time_millis: 23.924, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 23.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9935, kappa: 0.9439, kb_relative_information_score: 12564.3218, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.3338, recall: 0.9935, relative_absolute_error: 0.1035, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0706, root_relative_squared_error: 0.2938, scimark_benchmark: 1364.2182, usercpu_time_millis: 256.655, usercpu_time_millis_testing: 0.629, usercpu_time_millis_training: 256.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9929, kappa: 0.938, kb_relative_information_score: 10232.0156, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9929, predictive_accuracy: 0.993, prior_entropy: 0.3338, recall: 0.993, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.3524, scimark_benchmark: 1365.1264, usercpu_time_millis: 484.715, usercpu_time_millis_testing: 7.549, usercpu_time_millis_training: 477.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9926, kappa: 0.9359, kb_relative_information_score: 11374.5293, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9926, predictive_accuracy: 0.9926, prior_entropy: 0.3338, recall: 0.9926, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.3291, scimark_benchmark: 1363.9296, usercpu_time_millis: 515.001, usercpu_time_millis_testing: 2.255, usercpu_time_millis_training: 512.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9825, kappa: 0.8402, kb_relative_information_score: 5269.9595, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9833, predictive_accuracy: 0.9835, prior_entropy: 0.3338, recall: 0.9835, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.5142, scimark_benchmark: 1365.7589, usercpu_time_millis: 184.913, usercpu_time_millis_testing: 3.453, usercpu_time_millis_training: 181.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9909, kappa: 0.9206, kb_relative_information_score: 10505.4097, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9909, predictive_accuracy: 0.991, prior_entropy: 0.3338, recall: 0.991, relative_absolute_error: 0.1885, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.3714, scimark_benchmark: 1366.838, usercpu_time_millis: 714.262, usercpu_time_millis_testing: 3.065, usercpu_time_millis_training: 711.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.977, kappa: 0.7857, kb_relative_information_score: 3633.0243, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9787, predictive_accuracy: 0.9788, prior_entropy: 0.3338, recall: 0.9788, relative_absolute_error: 0.4785, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.5774, scimark_benchmark: 1365.1635, usercpu_time_millis: 164.948, usercpu_time_millis_testing: 3.099, usercpu_time_millis_training: 161.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9725, kappa: 0.7399, kb_relative_information_score: 1919.3923, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9752, predictive_accuracy: 0.9752, prior_entropy: 0.3338, recall: 0.9752, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.6483, scimark_benchmark: 1366.545, usercpu_time_millis: 736.725, usercpu_time_millis_testing: 5.072, usercpu_time_millis_training: 731.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9742, kappa: 0.762, kb_relative_information_score: 1574.1941, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9751, predictive_accuracy: 0.976, prior_entropy: 0.3338, recall: 0.976, relative_absolute_error: 0.5524, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.6914, scimark_benchmark: 1364.6471, usercpu_time_millis: 1117.275, usercpu_time_millis_testing: 3.933, usercpu_time_millis_training: 1113.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9719, kappa: 0.734, kb_relative_information_score: 1275.5888, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.3338, recall: 0.9747, relative_absolute_error: 0.557, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.6872, scimark_benchmark: 1367.1082, usercpu_time_millis: 215.594, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 214.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.9087, kb_relative_information_score: -4.8209, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1, scimark_benchmark: 1368.8655, usercpu_time_millis: 4.73, usercpu_time_millis_testing: 0.578, usercpu_time_millis_training: 4.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9524, kappa: 0.5225, kb_relative_information_score: 1322.8621, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9612, predictive_accuracy: 0.9608, prior_entropy: 0.3338, recall: 0.9608, relative_absolute_error: 0.5826, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.682, scimark_benchmark: 1366.6028, usercpu_time_millis: 234.637, usercpu_time_millis_testing: 2.52, usercpu_time_millis_training: 232.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9923, kappa: 0.9327, kb_relative_information_score: 11398.3017, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9923, predictive_accuracy: 0.9924, prior_entropy: 0.3338, recall: 0.9924, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.3409, scimark_benchmark: 1365.0242, usercpu_time_millis: 542.344, usercpu_time_millis_testing: 4.228, usercpu_time_millis_training: 538.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9522, kappa: 0.5201, kb_relative_information_score: 1248.7662, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9611, predictive_accuracy: 0.9606, prior_entropy: 0.3338, recall: 0.9606, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.683, scimark_benchmark: 1362.0305, usercpu_time_millis: 40.486, usercpu_time_millis_testing: 0.701, usercpu_time_millis_training: 39.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9887, kappa: 0.8995, kb_relative_information_score: 6811.9255, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9888, predictive_accuracy: 0.989, prior_entropy: 0.3338, recall: 0.989, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.111, root_relative_squared_error: 0.4619, scimark_benchmark: 1363.9725, usercpu_time_millis: 29.696, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 29.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9935, kappa: 0.9437, kb_relative_information_score: 12408.0739, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.3338, recall: 0.9935, relative_absolute_error: 0.1141, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0722, root_relative_squared_error: 0.3005, scimark_benchmark: 1362.3323, usercpu_time_millis: 168.111, usercpu_time_millis_testing: 0.573, usercpu_time_millis_training: 167.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9087, kb_relative_information_score: 1082.3269, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.768, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.7876, scimark_benchmark: 1360.3708, usercpu_time_millis: 78.071, usercpu_time_millis_testing: 5.573, usercpu_time_millis_training: 72.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9921, kappa: 0.9308, kb_relative_information_score: 9566.3506, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9921, predictive_accuracy: 0.9922, prior_entropy: 0.3338, recall: 0.9922, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.373, scimark_benchmark: 1363.5426, usercpu_time_millis: 30.374, usercpu_time_millis_testing: 0.799, usercpu_time_millis_training: 29.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9941, kappa: 0.9492, kb_relative_information_score: 12482.3541, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.3338, recall: 0.9941, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0694, root_relative_squared_error: 0.2888, scimark_benchmark: 1366.9971, usercpu_time_millis: 745.806, usercpu_time_millis_testing: 2.785, usercpu_time_millis_training: 743.021,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9904, kappa: 0.9151, kb_relative_information_score: 8585.5644, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9905, predictive_accuracy: 0.9906, prior_entropy: 0.3338, recall: 0.9906, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1006, root_relative_squared_error: 0.4185, scimark_benchmark: 1849.8294, usercpu_time_millis: 6.41, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 6.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.9458, kappa: 0.5606, kb_relative_information_score: 3210.2486, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9504, predictive_accuracy: 0.9424, prior_entropy: 0.3338, recall: 0.9424, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.8001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9924, kappa: 0.9336, kb_relative_information_score: 10242.873, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9924, predictive_accuracy: 0.9925, prior_entropy: 0.3338, recall: 0.9925, relative_absolute_error: 0.2236, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.3563, scimark_benchmark: 1855.0232, usercpu_time_millis: 213.942, usercpu_time_millis_testing: 4.55, usercpu_time_millis_training: 209.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9829, kappa: 0.8468, kb_relative_information_score: 3050.7725, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9831, predictive_accuracy: 0.9836, prior_entropy: 0.3338, recall: 0.9836, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.6295, scimark_benchmark: 1361.1982, usercpu_time_millis: 1224.84, usercpu_time_millis_testing: 4.519, usercpu_time_millis_training: 1220.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9934, kappa: 0.9432, kb_relative_information_score: 12498.2632, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.3338, recall: 0.9934, relative_absolute_error: 0.1103, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.2965, scimark_benchmark: 1360.9662, usercpu_time_millis: 1580.962, usercpu_time_millis_testing: 4.232, usercpu_time_millis_training: 1576.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9944, kappa: 0.9517, kb_relative_information_score: 12639.0447, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.3338, recall: 0.9944, relative_absolute_error: 0.103, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0677, root_relative_squared_error: 0.2819, scimark_benchmark: 1360.9617, usercpu_time_millis: 919.426, usercpu_time_millis_testing: 3.178, usercpu_time_millis_training: 916.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9685, kappa: 0.6989, kb_relative_information_score: 1347.7322, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9721, predictive_accuracy: 0.9721, prior_entropy: 0.3338, recall: 0.9721, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.676, scimark_benchmark: 1351.1971, usercpu_time_millis: 473.798, usercpu_time_millis_testing: 2.943, usercpu_time_millis_training: 470.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.99, kappa: 0.9119, kb_relative_information_score: 10573.1848, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.99, predictive_accuracy: 0.9901, prior_entropy: 0.3338, recall: 0.9901, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3883, scimark_benchmark: 1364.6274, usercpu_time_millis: 737.884, usercpu_time_millis_testing: 1.8, usercpu_time_millis_training: 736.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9933, kappa: 0.9424, kb_relative_information_score: 12096.7345, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.3338, recall: 0.9933, relative_absolute_error: 0.1363, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.3041, scimark_benchmark: 1361.0761, usercpu_time_millis: 882.692, usercpu_time_millis_testing: 5.88, usercpu_time_millis_training: 876.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9711, kappa: 0.7253, kb_relative_information_score: 1296.598, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 0.3338, recall: 0.974, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.6856, scimark_benchmark: 1357.4156, usercpu_time_millis: 674.744, usercpu_time_millis_testing: 2.807, usercpu_time_millis_training: 671.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9606, kappa: 0.6141, kb_relative_information_score: 1123.0535, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9666, predictive_accuracy: 0.9663, prior_entropy: 0.3338, recall: 0.9663, relative_absolute_error: 0.5717, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.6859, scimark_benchmark: 1357.9279, usercpu_time_millis: 913.847, usercpu_time_millis_testing: 5.581, usercpu_time_millis_training: 908.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9917, kappa: 0.9275, kb_relative_information_score: 11229.4516, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9917, predictive_accuracy: 0.9918, prior_entropy: 0.3338, recall: 0.9918, relative_absolute_error: 0.179, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.3489, scimark_benchmark: 1358.524, usercpu_time_millis: 96.014, usercpu_time_millis_testing: 0.971, usercpu_time_millis_training: 95.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9934, kappa: 0.9428, kb_relative_information_score: 12115.6467, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.3338, recall: 0.9934, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.3067, scimark_benchmark: 1364.6079, usercpu_time_millis: 898.707, usercpu_time_millis_testing: 4.466, usercpu_time_millis_training: 894.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9903, kappa: 0.9147, kb_relative_information_score: 8015.8687, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9904, predictive_accuracy: 0.9906, prior_entropy: 0.3338, recall: 0.9906, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1011, root_relative_squared_error: 0.4206, scimark_benchmark: 1362.1819, usercpu_time_millis: 385.755, usercpu_time_millis_testing: 6.025, usercpu_time_millis_training: 379.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9816, kappa: 0.8332, kb_relative_information_score: 3541.9385, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.982, predictive_accuracy: 0.9825, prior_entropy: 0.3338, recall: 0.9825, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.5847, scimark_benchmark: 1359.6819, usercpu_time_millis: 967.005, usercpu_time_millis_testing: 3.97, usercpu_time_millis_training: 963.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9932, kappa: 0.9408, kb_relative_information_score: 11894.2593, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 0.3338, recall: 0.9932, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.3151, scimark_benchmark: 1362.4167, usercpu_time_millis: 310.75, usercpu_time_millis_testing: 1.946, usercpu_time_millis_training: 308.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9902, kappa: 0.9133, kb_relative_information_score: 10379.118, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9902, predictive_accuracy: 0.9903, prior_entropy: 0.3338, recall: 0.9903, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.3852, scimark_benchmark: 1359.2115, usercpu_time_millis: 438.148, usercpu_time_millis_testing: 1.234, usercpu_time_millis_training: 436.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.9087, kb_relative_information_score: 7.9141, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1, scimark_benchmark: 1363.875, usercpu_time_millis: 9.644, usercpu_time_millis_testing: 1.448, usercpu_time_millis_training: 8.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9685, kappa: 0.6989, kb_relative_information_score: 1201.4811, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9721, predictive_accuracy: 0.9721, prior_entropy: 0.3338, recall: 0.9721, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.6836, scimark_benchmark: 1360.1739, usercpu_time_millis: 452.234, usercpu_time_millis_testing: 2.873, usercpu_time_millis_training: 449.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9911, kappa: 0.9217, kb_relative_information_score: 9700.4404, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.991, predictive_accuracy: 0.9912, prior_entropy: 0.3338, recall: 0.9912, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.376, scimark_benchmark: 1357.1355, usercpu_time_millis: 248.943, usercpu_time_millis_testing: 1.586, usercpu_time_millis_training: 247.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9521, kappa: 0.5189, kb_relative_information_score: 1320.6772, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.961, predictive_accuracy: 0.9605, prior_entropy: 0.3338, recall: 0.9605, relative_absolute_error: 0.5852, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.164, root_relative_squared_error: 0.6826, scimark_benchmark: 1360.4988, usercpu_time_millis: 231.13, usercpu_time_millis_testing: 3.759, usercpu_time_millis_training: 227.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9731, kappa: 0.7591, kb_relative_information_score: 1866.9651, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9728, predictive_accuracy: 0.9741, prior_entropy: 0.3338, recall: 0.9741, relative_absolute_error: 0.5487, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.6957, scimark_benchmark: 1361.0505, usercpu_time_millis: 1523.563, usercpu_time_millis_testing: 3.81, usercpu_time_millis_training: 1519.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9909, kappa: 0.9205, kb_relative_information_score: 10517.5738, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9909, predictive_accuracy: 0.991, prior_entropy: 0.3338, recall: 0.991, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.3677, scimark_benchmark: 1366.1248, usercpu_time_millis: 1142.27, usercpu_time_millis_testing: 4.377, usercpu_time_millis_training: 1137.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9936, kappa: 0.9451, kb_relative_information_score: 12542.6901, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9937, predictive_accuracy: 0.9936, prior_entropy: 0.3338, recall: 0.9936, relative_absolute_error: 0.1072, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.2909, scimark_benchmark: 1361.4376, usercpu_time_millis: 1638.047, usercpu_time_millis_testing: 3.603, usercpu_time_millis_training: 1634.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9939, kappa: 0.9475, kb_relative_information_score: 12535.5472, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 0.3338, recall: 0.9939, relative_absolute_error: 0.1078, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0697, root_relative_squared_error: 0.2901, scimark_benchmark: 1364.0771, usercpu_time_millis: 1095.14, usercpu_time_millis_testing: 3.37, usercpu_time_millis_training: 1091.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9734, kappa: 0.7501, kb_relative_information_score: 1451.2572, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9758, predictive_accuracy: 0.9759, prior_entropy: 0.3338, recall: 0.9759, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.6749, scimark_benchmark: 1363.5087, usercpu_time_millis: 200.546, usercpu_time_millis_testing: 1.438, usercpu_time_millis_training: 199.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9925, kappa: 0.9353, kb_relative_information_score: 11436.3089, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9925, predictive_accuracy: 0.9926, prior_entropy: 0.3338, recall: 0.9926, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.3271, scimark_benchmark: 1360.3542, usercpu_time_millis: 669.854, usercpu_time_millis_testing: 3.183, usercpu_time_millis_training: 666.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.994, kappa: 0.948, kb_relative_information_score: 12251.3845, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 0.3338, recall: 0.994, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.2946, scimark_benchmark: 1363.1581, usercpu_time_millis: 407.957, usercpu_time_millis_testing: 2.38, usercpu_time_millis_training: 405.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9104, kappa: 0.021, kb_relative_information_score: 1424.893, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9429, predictive_accuracy: 0.9391, prior_entropy: 0.3338, recall: 0.9391, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.7004, scimark_benchmark: 1358.7227, usercpu_time_millis: 68.691, usercpu_time_millis_testing: 2.661, usercpu_time_millis_training: 66.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.973, kappa: 0.7583, kb_relative_information_score: 1840.9127, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9727, predictive_accuracy: 0.974, prior_entropy: 0.3338, recall: 0.974, relative_absolute_error: 0.5489, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.6952, scimark_benchmark: 1357.8719, usercpu_time_millis: 800.307, usercpu_time_millis_testing: 2.838, usercpu_time_millis_training: 797.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9943, kappa: 0.9511, kb_relative_information_score: 12537.49, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9944, predictive_accuracy: 0.9943, prior_entropy: 0.3338, recall: 0.9943, relative_absolute_error: 0.1128, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.281, scimark_benchmark: 1363.3408, usercpu_time_millis: 1252.909, usercpu_time_millis_testing: 6.058, usercpu_time_millis_training: 1246.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9926, kappa: 0.9354, kb_relative_information_score: 10238.5942, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9926, predictive_accuracy: 0.9927, prior_entropy: 0.3338, recall: 0.9927, relative_absolute_error: 0.2241, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.3555, scimark_benchmark: 1360.8354, usercpu_time_millis: 272, usercpu_time_millis_testing: 3.934, usercpu_time_millis_training: 268.066,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs