Task
Supervised Classification on balance-scale

Supervised Classification on balance-scale

Task 3860 Supervised Classification balance-scale 580 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9534, kappa: 0.9061, kb_relative_information_score: 369.3399, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9554, predictive_accuracy: 0.9536, prior_entropy: 0.9956, recall: 0.9536, relative_absolute_error: 0.4619, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.5546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9792, kappa: 0.958, kb_relative_information_score: 576.6706, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9796, predictive_accuracy: 0.9792, prior_entropy: 0.9956, recall: 0.9792, relative_absolute_error: 0.0841, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.2993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9151, kappa: 0.829, kb_relative_information_score: 443.228, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9153, predictive_accuracy: 0.9152, prior_entropy: 0.9956, recall: 0.9152, relative_absolute_error: 0.3168, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9583, kappa: 0.9159, kb_relative_information_score: 365.6842, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9601, predictive_accuracy: 0.9584, prior_entropy: 0.9956, recall: 0.9584, relative_absolute_error: 0.4682, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.5593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8592, kappa: 0.7165, kb_relative_information_score: 408.1462, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8591, predictive_accuracy: 0.8592, prior_entropy: 0.9956, recall: 0.8592, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.9121, kappa: 0.8241, kb_relative_information_score: 510.5117, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9157, predictive_accuracy: 0.912, prior_entropy: 0.9956, recall: 0.912, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.872, kappa: 0.7423, kb_relative_information_score: 468.4056, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 0.9956, recall: 0.872, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9728, kappa: 0.9452, kb_relative_information_score: 577.7756, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9729, predictive_accuracy: 0.9728, prior_entropy: 0.9956, recall: 0.9728, relative_absolute_error: 0.0802, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.2922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.6466, kappa: 0.2893, kb_relative_information_score: 97.4149, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.6469, predictive_accuracy: 0.6464, prior_entropy: 0.9956, recall: 0.6464, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9262, kappa: 0.8512, kb_relative_information_score: 396.5683, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9275, predictive_accuracy: 0.9264, prior_entropy: 0.9956, recall: 0.9264, relative_absolute_error: 0.4043, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, f_measure: 0.6643, kappa: 0.3238, kb_relative_information_score: 117.6228, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.6665, predictive_accuracy: 0.6672, prior_entropy: 0.9956, recall: 0.6672, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9296, kappa: 0.8584, kb_relative_information_score: 456.8806, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9297, predictive_accuracy: 0.9296, prior_entropy: 0.9956, recall: 0.9296, relative_absolute_error: 0.2908, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.955, kappa: 0.9094, kb_relative_information_score: 360.8292, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9569, predictive_accuracy: 0.9552, prior_entropy: 0.9956, recall: 0.9552, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.936, kappa: 0.8713, kb_relative_information_score: 533.6927, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9361, predictive_accuracy: 0.936, prior_entropy: 0.9956, recall: 0.936, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8879, kappa: 0.7743, kb_relative_information_score: 433.4383, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9956, recall: 0.888, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.8598, kappa: 0.7175, kb_relative_information_score: 197.5063, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8638, predictive_accuracy: 0.8608, prior_entropy: 0.9956, recall: 0.8608, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.7727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.3778, kb_relative_information_score: -0.0197, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.2907, predictive_accuracy: 0.5392, prior_entropy: 0.9956, recall: 0.5392, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4985, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.6451, kappa: 0.2924, kb_relative_information_score: 113.446, mean_absolute_error: 0.4176, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.6508, predictive_accuracy: 0.6448, prior_entropy: 0.9956, recall: 0.6448, relative_absolute_error: 0.8403, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9121, kappa: 0.8241, kb_relative_information_score: 462.0343, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9157, predictive_accuracy: 0.912, prior_entropy: 0.9956, recall: 0.912, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.243, root_relative_squared_error: 0.4875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9121, kappa: 0.8241, kb_relative_information_score: 462.0343, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9157, predictive_accuracy: 0.912, prior_entropy: 0.9956, recall: 0.912, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.243, root_relative_squared_error: 0.4875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.8398, kappa: 0.6772, kb_relative_information_score: 392.3835, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9956, recall: 0.84, relative_absolute_error: 0.3863, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.955, kappa: 0.9094, kb_relative_information_score: 360.8292, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9569, predictive_accuracy: 0.9552, prior_entropy: 0.9956, recall: 0.9552, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9297, kappa: 0.8588, kb_relative_information_score: 519.5814, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9304, predictive_accuracy: 0.9296, prior_entropy: 0.9956, recall: 0.9296, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.4638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.8849, kappa: 0.7685, kb_relative_information_score: 466.7805, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8851, predictive_accuracy: 0.8848, prior_entropy: 0.9956, recall: 0.8848, relative_absolute_error: 0.2623, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.5138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6557, f_measure: 0.6593, kappa: 0.3132, kb_relative_information_score: 197.2221, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.6597, predictive_accuracy: 0.6608, prior_entropy: 0.9956, recall: 0.6608, relative_absolute_error: 0.6826, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5824, root_relative_squared_error: 1.1684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9679, kappa: 0.9353, kb_relative_information_score: 354.4312, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9698, predictive_accuracy: 0.968, prior_entropy: 0.9956, recall: 0.968, relative_absolute_error: 0.4881, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.5721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.9265, kappa: 0.8524, kb_relative_information_score: 532.1664, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9275, predictive_accuracy: 0.9264, prior_entropy: 0.9956, recall: 0.9264, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.5443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.8398, kappa: 0.6772, kb_relative_information_score: 392.3835, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9956, recall: 0.84, relative_absolute_error: 0.3863, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.9249, kappa: 0.8494, kb_relative_information_score: 530.1486, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9267, predictive_accuracy: 0.9248, prior_entropy: 0.9956, recall: 0.9248, relative_absolute_error: 0.1513, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.5501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.955, kappa: 0.9094, kb_relative_information_score: 360.8292, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9569, predictive_accuracy: 0.9552, prior_entropy: 0.9956, recall: 0.9552, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9599, kappa: 0.9191, kb_relative_information_score: 357.3005, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9615, predictive_accuracy: 0.96, prior_entropy: 0.9956, recall: 0.96, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.5695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9534, kappa: 0.9061, kb_relative_information_score: 566.4679, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9554, predictive_accuracy: 0.9536, prior_entropy: 0.9956, recall: 0.9536, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.9535, kappa: 0.9062, kb_relative_information_score: 566.4679, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9548, predictive_accuracy: 0.9536, prior_entropy: 0.9956, recall: 0.9536, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.8322, kappa: 0.6632, kb_relative_information_score: 413.1199, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8334, predictive_accuracy: 0.832, prior_entropy: 0.9956, recall: 0.832, relative_absolute_error: 0.3381, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8911, kappa: 0.7808, kb_relative_information_score: 487.7762, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8912, predictive_accuracy: 0.8912, prior_entropy: 0.9956, recall: 0.8912, relative_absolute_error: 0.2189, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.6617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3778, kb_relative_information_score: 43.8742, mean_absolute_error: 0.4608, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.2907, predictive_accuracy: 0.5392, prior_entropy: 0.9956, recall: 0.5392, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6788, root_relative_squared_error: 1.3618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8911, kappa: 0.7808, kb_relative_information_score: 487.7762, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8912, predictive_accuracy: 0.8912, prior_entropy: 0.9956, recall: 0.8912, relative_absolute_error: 0.2189, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.6617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9534, kappa: 0.9061, kb_relative_information_score: 566.4679, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9554, predictive_accuracy: 0.9536, prior_entropy: 0.9956, recall: 0.9536, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.9535, kappa: 0.9062, kb_relative_information_score: 566.4679, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9548, predictive_accuracy: 0.9536, prior_entropy: 0.9956, recall: 0.9536, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.8322, kappa: 0.6632, kb_relative_information_score: 413.1199, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8334, predictive_accuracy: 0.832, prior_entropy: 0.9956, recall: 0.832, relative_absolute_error: 0.3381, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8223, usercpu_time_millis: 0.11, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.3778, kb_relative_information_score: -0.0197, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.2907, predictive_accuracy: 0.5392, prior_entropy: 0.9956, recall: 0.5392, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4985, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9648, kappa: 0.9291, kb_relative_information_score: 552.1407, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9649, predictive_accuracy: 0.9648, prior_entropy: 0.9956, recall: 0.9648, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.3236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.8802, kappa: 0.7599, kb_relative_information_score: 455.178, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8828, predictive_accuracy: 0.88, prior_entropy: 0.9956, recall: 0.88, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.864, kappa: 0.7265, kb_relative_information_score: 453.4747, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8641, predictive_accuracy: 0.864, prior_entropy: 0.9956, recall: 0.864, relative_absolute_error: 0.2737, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.9022, kappa: 0.803, kb_relative_information_score: 501.9003, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9026, predictive_accuracy: 0.9024, prior_entropy: 0.9956, recall: 0.9024, relative_absolute_error: 0.1964, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8926, kappa: 0.7836, kb_relative_information_score: 489.7939, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8931, predictive_accuracy: 0.8928, prior_entropy: 0.9956, recall: 0.8928, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6569,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.8525, kappa: 0.7029, kb_relative_information_score: 392.8421, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8529, predictive_accuracy: 0.8528, prior_entropy: 0.9956, recall: 0.8528, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.701, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.8753, kappa: 0.7492, kb_relative_information_score: 467.508, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8755, predictive_accuracy: 0.8752, prior_entropy: 0.9956, recall: 0.8752, relative_absolute_error: 0.2606, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.256, root_relative_squared_error: 0.5136, scimark_benchmark: 1892.0925, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9534, kappa: 0.9061, kb_relative_information_score: 369.3399, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9554, predictive_accuracy: 0.9536, prior_entropy: 0.9956, recall: 0.9536, relative_absolute_error: 0.4619, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.5546, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.843, kappa: 0.6837, kb_relative_information_score: 395.9579, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8432, predictive_accuracy: 0.8432, prior_entropy: 0.9956, recall: 0.8432, relative_absolute_error: 0.3808, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7615, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8592, kappa: 0.7165, kb_relative_information_score: 408.1462, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8591, predictive_accuracy: 0.8592, prior_entropy: 0.9956, recall: 0.8592, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.695, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9503, kappa: 0.8998, kb_relative_information_score: 524.5665, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9513, predictive_accuracy: 0.9504, prior_entropy: 0.9956, recall: 0.9504, relative_absolute_error: 0.1801, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4167, scimark_benchmark: 1834.908, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9888, kappa: 0.9774, kb_relative_information_score: 569.6494, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.989, predictive_accuracy: 0.9888, prior_entropy: 0.9956, recall: 0.9888, relative_absolute_error: 0.1016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.25, scimark_benchmark: 1834.908, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9888, kappa: 0.9774, kb_relative_information_score: 569.6494, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.989, predictive_accuracy: 0.9888, prior_entropy: 0.9956, recall: 0.9888, relative_absolute_error: 0.1016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.25, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9888, kappa: 0.9774, kb_relative_information_score: 569.6494, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.989, predictive_accuracy: 0.9888, prior_entropy: 0.9956, recall: 0.9888, relative_absolute_error: 0.1016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.25, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8592, kappa: 0.7165, kb_relative_information_score: 408.1462, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.8591, predictive_accuracy: 0.8592, prior_entropy: 0.9956, recall: 0.8592, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.695, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9503, kappa: 0.8998, kb_relative_information_score: 524.5665, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9513, predictive_accuracy: 0.9504, prior_entropy: 0.9956, recall: 0.9504, relative_absolute_error: 0.1801, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4167, scimark_benchmark: 1788.6668, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9519, kappa: 0.903, kb_relative_information_score: 527.7482, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9533, predictive_accuracy: 0.952, prior_entropy: 0.9956, recall: 0.952, relative_absolute_error: 0.1681, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.4086, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.9265, kappa: 0.8524, kb_relative_information_score: 532.1664, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9275, predictive_accuracy: 0.9264, prior_entropy: 0.9956, recall: 0.9264, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.5443, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.9265, kappa: 0.8524, kb_relative_information_score: 532.1664, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9275, predictive_accuracy: 0.9264, prior_entropy: 0.9956, recall: 0.9264, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.5443, scimark_benchmark: 1553.1114, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9519, kappa: 0.903, kb_relative_information_score: 527.7482, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4969, number_of_instances: 625, precision: 0.9533, predictive_accuracy: 0.952, prior_entropy: 0.9956, recall: 0.952, relative_absolute_error: 0.1681, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.4086, scimark_benchmark: 1018.0698, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

Metric:

Timeline

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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

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

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

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