OpenML
Supervised Classification on yeast

Supervised Classification on yeast

Task 2073 Supervised Classification yeast 1323 runs submitted
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  • at2 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: 0.8175, f_measure: 0.5624, kappa: 0.4433, kb_relative_information_score: 671.0861, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5839, predictive_accuracy: 0.5708, prior_entropy: 2.5035, recall: 0.5708, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.239, root_relative_squared_error: 0.8574, scimark_benchmark: 1414.3885, usercpu_time_millis: 280, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.567, kappa: 0.4446, kb_relative_information_score: 696.8846, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5711, predictive_accuracy: 0.5755, prior_entropy: 2.5035, recall: 0.5755, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.8685, scimark_benchmark: 1500.973, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 283.73, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.9035, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9501, scimark_benchmark: 1408.1077, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.5867, kappa: 0.4729, kb_relative_information_score: 670.4501, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5865, predictive_accuracy: 0.5957, prior_entropy: 2.5035, recall: 0.5957, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.8382, scimark_benchmark: 1402.17, usercpu_time_millis: 2260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.5802, kappa: 0.4652, kb_relative_information_score: 714.972, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5786, predictive_accuracy: 0.5889, prior_entropy: 2.5035, recall: 0.5889, relative_absolute_error: 0.6509, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.237, root_relative_squared_error: 0.8503, scimark_benchmark: 1532.5639, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.5787, kappa: 0.4661, kb_relative_information_score: 687.7759, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5828, predictive_accuracy: 0.5903, prior_entropy: 2.5035, recall: 0.5903, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.8344, scimark_benchmark: 1505.8986, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.5704, kappa: 0.4574, kb_relative_information_score: 260.7129, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5717, predictive_accuracy: 0.5842, prior_entropy: 2.5035, recall: 0.5842, relative_absolute_error: 1.0126, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.9601, scimark_benchmark: 1380.8526, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.5679, kappa: 0.4458, kb_relative_information_score: 733.982, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5666, predictive_accuracy: 0.5721, prior_entropy: 2.5035, recall: 0.5721, relative_absolute_error: 0.5715, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.9746, scimark_benchmark: 1476.3352, usercpu_time_millis: 290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 289.4441, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9503, scimark_benchmark: 1573.0602, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.5364, kappa: 0.4065, kb_relative_information_score: 666.121, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5348, predictive_accuracy: 0.5404, prior_entropy: 2.5035, recall: 0.5404, relative_absolute_error: 0.6524, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.9648, scimark_benchmark: 1477.9394, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.5679, kappa: 0.4519, kb_relative_information_score: 678.8663, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5899, predictive_accuracy: 0.5768, prior_entropy: 2.5035, recall: 0.5768, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.8585, scimark_benchmark: 1464.1714, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.5679, kappa: 0.4519, kb_relative_information_score: 678.8663, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5899, predictive_accuracy: 0.5768, prior_entropy: 2.5035, recall: 0.5768, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.8585, scimark_benchmark: 1366.2816, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.5659, kappa: 0.4444, kb_relative_information_score: 602.158, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5768, predictive_accuracy: 0.5761, prior_entropy: 2.5035, recall: 0.5761, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.8728, scimark_benchmark: 1457.9741, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 289.4441, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9503, scimark_benchmark: 1459.67, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.1818, kappa: 0.021, kb_relative_information_score: 31.2967, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.4776, predictive_accuracy: 0.3026, prior_entropy: 2.5035, recall: 0.3026, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2868, root_relative_squared_error: 1.029, scimark_benchmark: 1396.8562, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.5773, kappa: 0.4612, kb_relative_information_score: 659.0496, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5858, predictive_accuracy: 0.5876, prior_entropy: 2.5035, recall: 0.5876, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.8458, scimark_benchmark: 1465.3049, usercpu_time_millis: 2810, usercpu_time_millis_training: 2810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, f_measure: 0.5109, kappa: 0.3693, kb_relative_information_score: 622.6345, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5122, predictive_accuracy: 0.5101, prior_entropy: 2.5035, recall: 0.5101, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3131, root_relative_squared_error: 1.1233, scimark_benchmark: 1476.1398, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.5596, kappa: 0.4398, kb_relative_information_score: 644.1518, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5592, predictive_accuracy: 0.5701, prior_entropy: 2.5035, recall: 0.5701, relative_absolute_error: 0.694, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.8812, scimark_benchmark: 1450.2434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5852, f_measure: 0.3197, kappa: 0.1837, kb_relative_information_score: 375.0413, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.2763, predictive_accuracy: 0.4003, prior_entropy: 2.5035, recall: 0.4003, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3463, root_relative_squared_error: 1.2426, scimark_benchmark: 1516.0225, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.1484, kb_relative_information_score: 0.6293, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 2.5035, recall: 0.312, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2787, root_relative_squared_error: 1, scimark_benchmark: 1436.4956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.5781, kappa: 0.4612, kb_relative_information_score: 637.1986, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5893, predictive_accuracy: 0.5889, prior_entropy: 2.5035, recall: 0.5889, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.8425, scimark_benchmark: 1499.6164, usercpu_time_millis: 630, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.5971, kappa: 0.4867, kb_relative_information_score: 693.7584, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.595, predictive_accuracy: 0.6058, prior_entropy: 2.5035, recall: 0.6058, relative_absolute_error: 0.6671, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.832, scimark_benchmark: 1387.1606, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.5681, kappa: 0.4532, kb_relative_information_score: 491.2889, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5888, predictive_accuracy: 0.5856, prior_entropy: 2.5035, recall: 0.5856, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.8764, scimark_benchmark: 1441.6959, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.5693, kappa: 0.4463, kb_relative_information_score: 729.1769, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5717, predictive_accuracy: 0.5768, prior_entropy: 2.5035, recall: 0.5768, relative_absolute_error: 0.6263, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.8634, scimark_benchmark: 1647.0112, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.587, kappa: 0.4735, kb_relative_information_score: 690.6585, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5851, predictive_accuracy: 0.5957, prior_entropy: 2.5035, recall: 0.5957, relative_absolute_error: 0.6716, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.8328, scimark_benchmark: 1479.947, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.1484, kb_relative_information_score: 0.6293, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 2.5035, recall: 0.312, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2787, root_relative_squared_error: 1, scimark_benchmark: 1403.4101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.592, kappa: 0.482, kb_relative_information_score: 643.8449, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5935, predictive_accuracy: 0.6031, prior_entropy: 2.5035, recall: 0.6031, relative_absolute_error: 0.7107, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.838, scimark_benchmark: 1523.7548, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.503, kappa: 0.3599, kb_relative_information_score: 609.786, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5031, predictive_accuracy: 0.5034, prior_entropy: 2.5035, recall: 0.5034, relative_absolute_error: 0.6393, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3148, root_relative_squared_error: 1.1294, scimark_benchmark: 1419.6198, usercpu_time_millis: 18500, usercpu_time_millis_testing: 18500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.5393, kappa: 0.4113, kb_relative_information_score: 678.3887, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5361, predictive_accuracy: 0.5438, prior_entropy: 2.5035, recall: 0.5438, relative_absolute_error: 0.6408, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.9869, scimark_benchmark: 1417.8775, usercpu_time_millis: 46790, usercpu_time_millis_testing: 46790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 338.5879, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9373, scimark_benchmark: 1449.2506, usercpu_time_millis: 2700, usercpu_time_millis_testing: 2700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.3216, kappa: 0.1683, kb_relative_information_score: 403.8575, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.337, predictive_accuracy: 0.3922, prior_entropy: 2.5035, recall: 0.3922, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2861, root_relative_squared_error: 1.0267, scimark_benchmark: 1438.2844, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.2492, kappa: 0.1881, kb_relative_information_score: 354.654, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.407, predictive_accuracy: 0.409, prior_entropy: 2.5035, recall: 0.409, relative_absolute_error: 0.8795, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.9326, scimark_benchmark: 1383.5795, usercpu_time_millis: 27440, usercpu_time_millis_testing: 27430, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.4799, kappa: 0.3457, kb_relative_information_score: 273.9302, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.457, predictive_accuracy: 0.5135, prior_entropy: 2.5035, recall: 0.5135, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.9275, scimark_benchmark: 1495.2092, usercpu_time_millis: 930, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.5758, kappa: 0.4574, kb_relative_information_score: 678.4045, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5807, predictive_accuracy: 0.5869, prior_entropy: 2.5035, recall: 0.5869, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.8384, scimark_benchmark: 1417.5292, usercpu_time_millis: 250, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.5668, kappa: 0.4418, kb_relative_information_score: 717.9897, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5701, predictive_accuracy: 0.5748, prior_entropy: 2.5035, recall: 0.5748, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.8741, scimark_benchmark: 1660.1585, usercpu_time_millis: 230, usercpu_time_millis_testing: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.5778, kappa: 0.4605, kb_relative_information_score: 740.5505, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5745, predictive_accuracy: 0.5849, prior_entropy: 2.5035, recall: 0.5849, relative_absolute_error: 0.6291, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.8625, scimark_benchmark: 1443.0214, usercpu_time_millis: 200, usercpu_time_millis_testing: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6996, f_measure: 0.5251, kappa: 0.3878, kb_relative_information_score: 656.4889, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.527, predictive_accuracy: 0.5243, prior_entropy: 2.5035, recall: 0.5243, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3084, root_relative_squared_error: 1.1066, scimark_benchmark: 1514.0909, usercpu_time_millis: 210, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 283.73, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.9035, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9501, scimark_benchmark: 1484.0857, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.5802, kappa: 0.4636, kb_relative_information_score: 662.0126, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5822, predictive_accuracy: 0.5883, prior_entropy: 2.5035, recall: 0.5883, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.8429, scimark_benchmark: 1484.593, usercpu_time_millis: 2340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.6005, kappa: 0.4916, kb_relative_information_score: 729.7336, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5987, predictive_accuracy: 0.6085, prior_entropy: 2.5035, recall: 0.6085, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.233, root_relative_squared_error: 0.8362, scimark_benchmark: 1551.3001, usercpu_time_millis: 300, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.5923, kappa: 0.4834, kb_relative_information_score: 690.0854, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5942, predictive_accuracy: 0.6038, prior_entropy: 2.5035, recall: 0.6038, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.8335, scimark_benchmark: 1516.0321, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.5771, kappa: 0.4653, kb_relative_information_score: 287.135, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5764, predictive_accuracy: 0.5896, prior_entropy: 2.5035, recall: 0.5896, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.9493, scimark_benchmark: 1549.6901, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.5798, kappa: 0.4619, kb_relative_information_score: 769.5681, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5772, predictive_accuracy: 0.5849, prior_entropy: 2.5035, recall: 0.5849, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.9608, scimark_benchmark: 1445.9779, usercpu_time_millis: 430, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 289.4441, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9503, scimark_benchmark: 1461.5761, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.5551, kappa: 0.4276, kb_relative_information_score: 679.4385, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5538, predictive_accuracy: 0.558, prior_entropy: 2.5035, recall: 0.558, relative_absolute_error: 0.63, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.9702, scimark_benchmark: 1438.0855, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.5639, kappa: 0.4477, kb_relative_information_score: 675.1678, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5826, predictive_accuracy: 0.5735, prior_entropy: 2.5035, recall: 0.5735, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.8633, scimark_benchmark: 1502.7766, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.5639, kappa: 0.4477, kb_relative_information_score: 675.1678, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5826, predictive_accuracy: 0.5735, prior_entropy: 2.5035, recall: 0.5735, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.8633, scimark_benchmark: 1550.7979, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.5664, kappa: 0.443, kb_relative_information_score: 605.6372, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5776, predictive_accuracy: 0.5761, prior_entropy: 2.5035, recall: 0.5761, relative_absolute_error: 0.7107, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.8698, scimark_benchmark: 1466.7763, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 289.4441, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9503, scimark_benchmark: 1614.3378, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5443, f_measure: 0.2187, kappa: 0.0452, kb_relative_information_score: 68.3703, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5003, predictive_accuracy: 0.2972, prior_entropy: 2.5035, recall: 0.2972, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2945, root_relative_squared_error: 1.0567, scimark_benchmark: 1457.427, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.578, kappa: 0.4623, kb_relative_information_score: 656.7285, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5871, predictive_accuracy: 0.5883, prior_entropy: 2.5035, recall: 0.5883, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.8454, scimark_benchmark: 1378.347, usercpu_time_millis: 1820, usercpu_time_millis_training: 1820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.5221, kappa: 0.3872, kb_relative_information_score: 637.1178, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5224, predictive_accuracy: 0.5229, prior_entropy: 2.5035, recall: 0.5229, relative_absolute_error: 0.6135, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3089, root_relative_squared_error: 1.1083, scimark_benchmark: 1491.9483, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.5743, kappa: 0.4583, kb_relative_information_score: 654.0537, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5772, predictive_accuracy: 0.5849, prior_entropy: 2.5035, recall: 0.5849, relative_absolute_error: 0.6857, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.873, scimark_benchmark: 1445.0733, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5852, f_measure: 0.3197, kappa: 0.1837, kb_relative_information_score: 375.0413, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.2763, predictive_accuracy: 0.4003, prior_entropy: 2.5035, recall: 0.4003, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3463, root_relative_squared_error: 1.2426, scimark_benchmark: 1545.2166, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.1484, kb_relative_information_score: 0.6293, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 2.5035, recall: 0.312, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2787, root_relative_squared_error: 1, scimark_benchmark: 1508.4554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.583, kappa: 0.4726, kb_relative_information_score: 660.5812, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5891, predictive_accuracy: 0.595, prior_entropy: 2.5035, recall: 0.595, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.234, root_relative_squared_error: 0.8396, scimark_benchmark: 1396.2056, usercpu_time_millis: 830, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.5864, kappa: 0.4769, kb_relative_information_score: 660.4566, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5885, predictive_accuracy: 0.5984, prior_entropy: 2.5035, recall: 0.5984, relative_absolute_error: 0.6948, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.8387, scimark_benchmark: 1577.304, usercpu_time_millis: 520, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.4722, kappa: 0.3319, kb_relative_information_score: 273.5747, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.4557, predictive_accuracy: 0.5047, prior_entropy: 2.5035, recall: 0.5047, relative_absolute_error: 0.9059, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.259, root_relative_squared_error: 0.9295, scimark_benchmark: 1395.6401, usercpu_time_millis: 800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.4433, kappa: 0.2918, kb_relative_information_score: 232.5681, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.4457, predictive_accuracy: 0.4805, prior_entropy: 2.5035, recall: 0.4805, relative_absolute_error: 0.922, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.9414, scimark_benchmark: 1441.1533, usercpu_time_millis: 660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.5725, kappa: 0.4524, kb_relative_information_score: 682.1609, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5772, predictive_accuracy: 0.5822, prior_entropy: 2.5035, recall: 0.5822, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.8381, scimark_benchmark: 1411.9386, usercpu_time_millis: 270, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.564, kappa: 0.4388, kb_relative_information_score: 707.6052, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5649, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2464, root_relative_squared_error: 0.8842, scimark_benchmark: 1495.0364, usercpu_time_millis: 210, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.5251, kappa: 0.3878, kb_relative_information_score: 653.8635, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.527, predictive_accuracy: 0.5243, prior_entropy: 2.5035, recall: 0.5243, relative_absolute_error: 0.6158, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3073, root_relative_squared_error: 1.1027, scimark_benchmark: 1495.3522, usercpu_time_millis: 180, usercpu_time_millis_testing: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.5905, kappa: 0.4746, kb_relative_information_score: 710.5206, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5951, predictive_accuracy: 0.5991, prior_entropy: 2.5035, recall: 0.5991, relative_absolute_error: 0.6671, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.8228, scimark_benchmark: 1472.9402, usercpu_time_millis: 270, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.5653, kappa: 0.4441, kb_relative_information_score: 728.7153, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5613, predictive_accuracy: 0.5721, prior_entropy: 2.5035, recall: 0.5721, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.8738, scimark_benchmark: 1479.8468, usercpu_time_millis: 230, usercpu_time_millis_testing: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.3874, kappa: 0.2346, kb_relative_information_score: 103.4424, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5088, predictive_accuracy: 0.4481, prior_entropy: 2.5035, recall: 0.4481, relative_absolute_error: 1.0631, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2817, root_relative_squared_error: 1.0109, scimark_benchmark: 1484.5813, usercpu_time_millis: 2120, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 1390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1484, kb_relative_information_score: 42.1581, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 2.5035, recall: 0.312, relative_absolute_error: 1.0761, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2854, root_relative_squared_error: 1.0238, scimark_benchmark: 1523.5749, usercpu_time_millis: 3050, usercpu_time_millis_testing: 810, usercpu_time_millis_training: 2240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1484, kb_relative_information_score: 42.1581, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 2.5035, recall: 0.312, relative_absolute_error: 1.0761, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2854, root_relative_squared_error: 1.0238, scimark_benchmark: 1487.2821, usercpu_time_millis: 2970, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 2230,

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