OpenML
Supervised Classification on nursery

Supervised Classification on nursery

Task 26 Supervised Classification nursery 1271 runs submitted
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  • at2 basic study_1 study_107 study_41 study_7 study_70 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.1667, kb_relative_information_score: 0.279, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3695, root_relative_squared_error: 1, scimark_benchmark: 1487.4659, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.8944, kappa: 0.8597, kb_relative_information_score: 10131.1511, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8844, predictive_accuracy: 0.9053, prior_entropy: 1.7176, recall: 0.9053, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.4828, scimark_benchmark: 1482.3544, usercpu_time_millis: 570, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9714, kappa: 0.9583, kb_relative_information_score: 12016.9591, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9713, predictive_accuracy: 0.9715, prior_entropy: 1.7176, recall: 0.9715, relative_absolute_error: 0.0913, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2904, scimark_benchmark: 1498.8129, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.8909, kappa: 0.8546, kb_relative_information_score: 6440.2805, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8804, predictive_accuracy: 0.9019, prior_entropy: 1.7176, recall: 0.9019, relative_absolute_error: 0.6228, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.6667, scimark_benchmark: 1606.0784, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.8944, kappa: 0.8597, kb_relative_information_score: 10131.1511, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8844, predictive_accuracy: 0.9053, prior_entropy: 1.7176, recall: 0.9053, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.4828, scimark_benchmark: 1623.3381, usercpu_time_millis: 200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9455, kappa: 0.9231, kb_relative_information_score: 9038.3901, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9502, predictive_accuracy: 0.9478, prior_entropy: 1.7176, recall: 0.9478, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4572, scimark_benchmark: 1435.6215, usercpu_time_millis: 850, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.938, kappa: 0.9121, kb_relative_information_score: 11538.8811, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9405, predictive_accuracy: 0.9404, prior_entropy: 1.7176, recall: 0.9404, relative_absolute_error: 0.1408, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.3462, scimark_benchmark: 1347.0556, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9538, kappa: 0.9332, kb_relative_information_score: 12029.2773, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9533, predictive_accuracy: 0.9545, prior_entropy: 1.7176, recall: 0.9545, relative_absolute_error: 0.081, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.112, root_relative_squared_error: 0.3031, scimark_benchmark: 1421.9387, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9423, kappa: 0.9183, kb_relative_information_score: 9182.6388, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9461, predictive_accuracy: 0.9445, prior_entropy: 1.7176, recall: 0.9445, relative_absolute_error: 0.4036, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.4496, scimark_benchmark: 1535.349, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9817, kappa: 0.9733, kb_relative_information_score: 12571.1243, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9817, predictive_accuracy: 0.9818, prior_entropy: 1.7176, recall: 0.9818, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.075, root_relative_squared_error: 0.203, scimark_benchmark: 1632.1393, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 6929.1896, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.5232, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.7234, scimark_benchmark: 1506.6175, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9065, kappa: 0.8786, kb_relative_information_score: 10335.1352, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8956, predictive_accuracy: 0.9181, prior_entropy: 1.7176, recall: 0.9181, relative_absolute_error: 0.2371, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.4499, scimark_benchmark: 1337.1375, usercpu_time_millis: 410, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9801, kappa: 0.9709, kb_relative_information_score: 12483.2478, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9801, predictive_accuracy: 0.9802, prior_entropy: 1.7176, recall: 0.9802, relative_absolute_error: 0.039, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.2205, scimark_benchmark: 1736.5067, usercpu_time_millis: 2880, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.1667, kb_relative_information_score: 0.279, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3695, root_relative_squared_error: 1, scimark_benchmark: 1499.7734, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7023, kappa: 0.5701, kb_relative_information_score: 7526.8842, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.6952, predictive_accuracy: 0.7097, prior_entropy: 1.7176, recall: 0.7097, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.9223, scimark_benchmark: 1346.1571, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 4068.7589, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.7819, scimark_benchmark: 1395.6761, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9716, kappa: 0.9595, kb_relative_information_score: 12193.0074, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9715, predictive_accuracy: 0.9725, prior_entropy: 1.7176, recall: 0.9725, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.2455, scimark_benchmark: 1422.8866, usercpu_time_millis: 290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8945, kappa: 0.8568, kb_relative_information_score: 10152.5369, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9058, predictive_accuracy: 0.9033, prior_entropy: 1.7176, recall: 0.9033, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.4782, scimark_benchmark: 1345.8102, usercpu_time_millis: 70, usercpu_time_millis_testing: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8945, kappa: 0.8567, kb_relative_information_score: 10162.0631, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9058, predictive_accuracy: 0.9032, prior_entropy: 1.7176, recall: 0.9032, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.478, scimark_benchmark: 1607.7528, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9304, kappa: 0.8983, kb_relative_information_score: 2785.2059, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9303, predictive_accuracy: 0.9307, prior_entropy: 1.7176, recall: 0.9307, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.8671, scimark_benchmark: 1509.5043, usercpu_time_millis: 9870, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 9850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 10151.8021, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3961, scimark_benchmark: 1597.6735, usercpu_time_millis: 9000, usercpu_time_millis_testing: 8990, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9656, kappa: 0.9499, kb_relative_information_score: 12045.7028, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9661, predictive_accuracy: 0.9658, prior_entropy: 1.7176, recall: 0.9658, relative_absolute_error: 0.0673, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.284, scimark_benchmark: 1377.0455, usercpu_time_millis: 24590, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 24560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9902, kappa: 0.9859, kb_relative_information_score: 12006.1661, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9901, predictive_accuracy: 0.9904, prior_entropy: 1.7176, recall: 0.9904, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.2337, scimark_benchmark: 1481.7692, usercpu_time_millis: 970, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9183, kappa: 0.8907, kb_relative_information_score: 10599.1575, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9278, predictive_accuracy: 0.9262, prior_entropy: 1.7176, recall: 0.9262, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.426, scimark_benchmark: 1364.8603, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 10151.8021, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3961, scimark_benchmark: 1396.2262, usercpu_time_millis: 18290, usercpu_time_millis_testing: 9060, usercpu_time_millis_training: 9230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9943, kappa: 0.9917, kb_relative_information_score: 12839.1346, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9943, predictive_accuracy: 0.9944, prior_entropy: 1.7176, recall: 0.9944, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.118, scimark_benchmark: 1346.6886, usercpu_time_millis: 570, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.998, kappa: 0.9971, kb_relative_information_score: 12901.5728, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9979, predictive_accuracy: 0.998, prior_entropy: 1.7176, recall: 0.998, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.026, root_relative_squared_error: 0.0704, scimark_benchmark: 1498.0588, usercpu_time_millis: 365330, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 365030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9197, kappa: 0.8822, kb_relative_information_score: 11068.9011, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.92, predictive_accuracy: 0.9196, prior_entropy: 1.7176, recall: 0.9196, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.4217, scimark_benchmark: 1471.838, usercpu_time_millis: 1660, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8218, kappa: 0.7506, kb_relative_information_score: 5328.6732, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8125, predictive_accuracy: 0.8316, prior_entropy: 1.7176, recall: 0.8316, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.7152, scimark_benchmark: 1361.872, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9395, kappa: 0.9112, kb_relative_information_score: 11884.973, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9399, predictive_accuracy: 0.9394, prior_entropy: 1.7176, recall: 0.9394, relative_absolute_error: 0.0878, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.3725, scimark_benchmark: 1464.394, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9942, kappa: 0.9915, kb_relative_information_score: 12821.7643, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9943, predictive_accuracy: 0.9942, prior_entropy: 1.7176, recall: 0.9942, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0424, root_relative_squared_error: 0.1149, scimark_benchmark: 1476.5349, usercpu_time_millis: 410, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 6929.0223, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.7234, scimark_benchmark: 1459.3092, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9757, kappa: 0.9676, kb_relative_information_score: 10139.1349, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9782, predictive_accuracy: 0.978, prior_entropy: 1.7176, recall: 0.978, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.4002, scimark_benchmark: 1452.7681, usercpu_time_millis: 113800, usercpu_time_millis_testing: 113760, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9736, kappa: 0.9621, kb_relative_information_score: 12271.0668, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9735, predictive_accuracy: 0.9742, prior_entropy: 1.7176, recall: 0.9742, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.2405, scimark_benchmark: 1374.6023, usercpu_time_millis: 300, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9783, kappa: 0.9694, kb_relative_information_score: 12264.4759, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9787, predictive_accuracy: 0.9792, prior_entropy: 1.7176, recall: 0.9792, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.2262, scimark_benchmark: 1494.0715, usercpu_time_millis: 221930, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 221480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9861, kb_relative_information_score: 12631.4821, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 1.7176, recall: 0.9905, relative_absolute_error: 0.0318, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.1593, scimark_benchmark: 1710.0031, usercpu_time_millis: 226210, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 225940,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 4068.7589, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.7819, scimark_benchmark: 1506.5099, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9716, kappa: 0.9595, kb_relative_information_score: 12193.0074, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9715, predictive_accuracy: 0.9725, prior_entropy: 1.7176, recall: 0.9725, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.2455, scimark_benchmark: 1257.5007, usercpu_time_millis: 300, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8945, kappa: 0.8568, kb_relative_information_score: 10152.5369, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9058, predictive_accuracy: 0.9033, prior_entropy: 1.7176, recall: 0.9033, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.4782, scimark_benchmark: 1340.6925, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8945, kappa: 0.8567, kb_relative_information_score: 10162.0631, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9058, predictive_accuracy: 0.9032, prior_entropy: 1.7176, recall: 0.9032, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.478, scimark_benchmark: 1412.3628, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9304, kappa: 0.8983, kb_relative_information_score: 2785.2059, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9303, predictive_accuracy: 0.9307, prior_entropy: 1.7176, recall: 0.9307, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.8671, scimark_benchmark: 1454.5812, usercpu_time_millis: 11120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 11100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 10151.8021, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3961, scimark_benchmark: 1306.9868, usercpu_time_millis: 9810, usercpu_time_millis_testing: 9810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9656, kappa: 0.9499, kb_relative_information_score: 12045.7028, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9661, predictive_accuracy: 0.9658, prior_entropy: 1.7176, recall: 0.9658, relative_absolute_error: 0.0673, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.284, scimark_benchmark: 1328.7024, usercpu_time_millis: 25240, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 25210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9902, kappa: 0.9859, kb_relative_information_score: 12006.1661, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9901, predictive_accuracy: 0.9904, prior_entropy: 1.7176, recall: 0.9904, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.2337, scimark_benchmark: 1209.9096, usercpu_time_millis: 1270, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9183, kappa: 0.8907, kb_relative_information_score: 10599.1575, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9278, predictive_accuracy: 0.9262, prior_entropy: 1.7176, recall: 0.9262, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.426, scimark_benchmark: 1407.7429, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 10151.8021, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3961, scimark_benchmark: 1621.1371, usercpu_time_millis: 16700, usercpu_time_millis_testing: 8630, usercpu_time_millis_training: 8070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9943, kappa: 0.9917, kb_relative_information_score: 12839.1346, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9943, predictive_accuracy: 0.9944, prior_entropy: 1.7176, recall: 0.9944, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.118, scimark_benchmark: 1317.1525, usercpu_time_millis: 780, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9197, kappa: 0.8822, kb_relative_information_score: 11068.9011, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.92, predictive_accuracy: 0.9196, prior_entropy: 1.7176, recall: 0.9196, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.4217, scimark_benchmark: 1449.7636, usercpu_time_millis: 1940, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 1310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8218, kappa: 0.7506, kb_relative_information_score: 5328.6732, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8125, predictive_accuracy: 0.8316, prior_entropy: 1.7176, recall: 0.8316, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.7152, scimark_benchmark: 1936.395, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9395, kappa: 0.9112, kb_relative_information_score: 11884.973, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9399, predictive_accuracy: 0.9394, prior_entropy: 1.7176, recall: 0.9394, relative_absolute_error: 0.0878, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.3725, scimark_benchmark: 1455.7696, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9942, kappa: 0.9915, kb_relative_information_score: 12821.7643, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9943, predictive_accuracy: 0.9942, prior_entropy: 1.7176, recall: 0.9942, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0424, root_relative_squared_error: 0.1149, scimark_benchmark: 1345.1039, usercpu_time_millis: 420, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 6929.0223, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.7234, scimark_benchmark: 1243.241, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9757, kappa: 0.9676, kb_relative_information_score: 10139.1349, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9782, predictive_accuracy: 0.978, prior_entropy: 1.7176, recall: 0.978, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.4002, scimark_benchmark: 1382.786, usercpu_time_millis: 124140, usercpu_time_millis_testing: 124090, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9736, kappa: 0.9621, kb_relative_information_score: 12271.0668, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9735, predictive_accuracy: 0.9742, prior_entropy: 1.7176, recall: 0.9742, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.2405, scimark_benchmark: 1926.3345, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.998, kappa: 0.9971, kb_relative_information_score: 12901.5728, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9979, predictive_accuracy: 0.998, prior_entropy: 1.7176, recall: 0.998, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.026, root_relative_squared_error: 0.0704, scimark_benchmark: 1349.8582, usercpu_time_millis: 403100, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 402770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9783, kappa: 0.9694, kb_relative_information_score: 12264.4759, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9787, predictive_accuracy: 0.9792, prior_entropy: 1.7176, recall: 0.9792, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.2262, scimark_benchmark: 1776.9115, usercpu_time_millis: 149810, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 149510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8605, kappa: 0.8095, kb_relative_information_score: 7460.6667, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8678, predictive_accuracy: 0.8717, prior_entropy: 1.7176, recall: 0.8717, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.6857, scimark_benchmark: 1368.8996, usercpu_time_millis: 1008600, usercpu_time_millis_testing: 1008570, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9861, kb_relative_information_score: 12631.4821, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 1.7176, recall: 0.9905, relative_absolute_error: 0.0318, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.1593, scimark_benchmark: 1358.8962, usercpu_time_millis: 285140, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 284780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9304, kappa: 0.8983, kb_relative_information_score: 2785.2059, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9303, predictive_accuracy: 0.9307, prior_entropy: 1.7176, recall: 0.9307, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.8671, scimark_benchmark: 1327.7511, usercpu_time_millis: 14720, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 14700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9112, kappa: 0.8852, kb_relative_information_score: 2743.515, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9006, predictive_accuracy: 0.9225, prior_entropy: 1.7176, recall: 0.9225, relative_absolute_error: 0.8904, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.869, scimark_benchmark: 1365.443, usercpu_time_millis: 145760, usercpu_time_millis_testing: 50580, usercpu_time_millis_training: 95180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 6929.1896, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.5232, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.7234, scimark_benchmark: 1291.3001, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.965, kappa: 0.949, kb_relative_information_score: 12188.7788, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9648, predictive_accuracy: 0.9652, prior_entropy: 1.7176, recall: 0.9652, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.2777, scimark_benchmark: 1840.4771, usercpu_time_millis: 400, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.895, kappa: 0.8558, kb_relative_information_score: 10336.2208, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8963, predictive_accuracy: 0.9025, prior_entropy: 1.7176, recall: 0.9025, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.4708, scimark_benchmark: 1277.1048, usercpu_time_millis: 630, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 6468.724, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.8139, scimark_benchmark: 1300.4982, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8985, kappa: 0.8597, kb_relative_information_score: 11065.0063, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9075, predictive_accuracy: 0.9052, prior_entropy: 1.7176, recall: 0.9052, relative_absolute_error: 0.1376, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.5134, scimark_benchmark: 1301.3606, usercpu_time_millis: 400, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 280,

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