Task
Supervised Classification on pbc

Supervised Classification on pbc

Task 3675 Supervised Classification pbc 508 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.6687, kappa: 0.329, kb_relative_information_score: 104.0468, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6708, predictive_accuracy: 0.6722, prior_entropy: 0.9928, recall: 0.6722, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8804, scimark_benchmark: 1838.8826, usercpu_time_millis: 249.6016, usercpu_time_millis_testing: 46.8003, usercpu_time_millis_training: 202.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6164, f_measure: 0.6193, kappa: 0.2304, kb_relative_information_score: 93.9313, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6191, predictive_accuracy: 0.6196, prior_entropy: 0.9928, recall: 0.6196, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6156, root_relative_squared_error: 1.2375, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, f_measure: 0.6105, kappa: 0.2141, kb_relative_information_score: 86.8635, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6111, predictive_accuracy: 0.61, prior_entropy: 0.9928, recall: 0.61, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6228, root_relative_squared_error: 1.252, scimark_benchmark: 1838.8826, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, f_measure: 0.6473, kappa: 0.3399, kb_relative_information_score: 117.5431, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7155, predictive_accuracy: 0.6579, prior_entropy: 0.9928, recall: 0.6579, relative_absolute_error: 0.7263, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9848, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.6844, kappa: 0.394, kb_relative_information_score: 143.4478, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7281, predictive_accuracy: 0.689, prior_entropy: 0.9928, recall: 0.689, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9991, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.3906, kb_relative_information_score: -0.0159, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.3028, predictive_accuracy: 0.5502, prior_entropy: 0.9928, recall: 0.5502, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4975, root_relative_squared_error: 1, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.6802, kappa: 0.3524, kb_relative_information_score: 89.8212, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6804, predictive_accuracy: 0.6818, prior_entropy: 0.9928, recall: 0.6818, relative_absolute_error: 0.8077, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9275, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.6697, kappa: 0.3323, kb_relative_information_score: 80.9448, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6696, predictive_accuracy: 0.6699, prior_entropy: 0.9928, recall: 0.6699, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9188, scimark_benchmark: 972.587, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.6961, kappa: 0.3858, kb_relative_information_score: 108.9454, mean_absolute_error: 0.3749, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.696, predictive_accuracy: 0.6962, prior_entropy: 0.9928, recall: 0.6962, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9255, scimark_benchmark: 851.2074, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7015, kappa: 0.4053, kb_relative_information_score: 130.4489, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7107, predictive_accuracy: 0.701, prior_entropy: 0.9928, recall: 0.701, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9426, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.6942, kappa: 0.3831, kb_relative_information_score: 101.1331, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6948, predictive_accuracy: 0.6938, prior_entropy: 0.9928, recall: 0.6938, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.8983, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7015, kappa: 0.4053, kb_relative_information_score: 130.4489, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7107, predictive_accuracy: 0.701, prior_entropy: 0.9928, recall: 0.701, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9426, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.3857, kappa: -0.037, kb_relative_information_score: 20.2552, mean_absolute_error: 0.4689, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.343, predictive_accuracy: 0.5311, prior_entropy: 0.9928, recall: 0.5311, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6848, root_relative_squared_error: 1.3765, scimark_benchmark: 932.438, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.704, kappa: 0.4093, kb_relative_information_score: 138.2235, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7118, predictive_accuracy: 0.7033, prior_entropy: 0.9928, recall: 0.7033, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.9542, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.6505, kappa: 0.2936, kb_relative_information_score: 95.78, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6504, predictive_accuracy: 0.6507, prior_entropy: 0.9928, recall: 0.6507, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.51, root_relative_squared_error: 1.0251, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.6687, kappa: 0.329, kb_relative_information_score: 104.0468, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6708, predictive_accuracy: 0.6722, prior_entropy: 0.9928, recall: 0.6722, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8804, scimark_benchmark: 974.2014, usercpu_time_millis: 460, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.6802, kappa: 0.3524, kb_relative_information_score: 89.8212, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6804, predictive_accuracy: 0.6818, prior_entropy: 0.9928, recall: 0.6818, relative_absolute_error: 0.8077, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9275, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.6697, kappa: 0.3323, kb_relative_information_score: 80.9448, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6696, predictive_accuracy: 0.6699, prior_entropy: 0.9928, recall: 0.6699, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9188, scimark_benchmark: 901.6243, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.6961, kappa: 0.3858, kb_relative_information_score: 108.9454, mean_absolute_error: 0.3749, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.696, predictive_accuracy: 0.6962, prior_entropy: 0.9928, recall: 0.6962, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9255, scimark_benchmark: 819.5729, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.3857, kappa: -0.037, kb_relative_information_score: 20.2552, mean_absolute_error: 0.4689, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.343, predictive_accuracy: 0.5311, prior_entropy: 0.9928, recall: 0.5311, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6848, root_relative_squared_error: 1.3765, scimark_benchmark: 905.2959, usercpu_time_millis: 90, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.704, kappa: 0.4093, kb_relative_information_score: 138.2235, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7118, predictive_accuracy: 0.7033, prior_entropy: 0.9928, recall: 0.7033, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.9542, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7015, kappa: 0.4053, kb_relative_information_score: 130.4489, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7107, predictive_accuracy: 0.701, prior_entropy: 0.9928, recall: 0.701, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9426, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7015, kappa: 0.4053, kb_relative_information_score: 130.4489, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7107, predictive_accuracy: 0.701, prior_entropy: 0.9928, recall: 0.701, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9426, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7015, kappa: 0.4053, kb_relative_information_score: 130.4489, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7107, predictive_accuracy: 0.701, prior_entropy: 0.9928, recall: 0.701, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9426, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.6942, kappa: 0.3831, kb_relative_information_score: 101.1331, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6948, predictive_accuracy: 0.6938, prior_entropy: 0.9928, recall: 0.6938, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.8983, scimark_benchmark: 941.4991, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7172, kappa: 0.428, kb_relative_information_score: 133.068, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7171, predictive_accuracy: 0.7177, prior_entropy: 0.9928, recall: 0.7177, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8765, scimark_benchmark: 938.4601, usercpu_time_millis: 4540, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7015, kappa: 0.4053, kb_relative_information_score: 130.4489, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7107, predictive_accuracy: 0.701, prior_entropy: 0.9928, recall: 0.701, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9426, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.6687, kappa: 0.329, kb_relative_information_score: 104.0468, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6708, predictive_accuracy: 0.6722, prior_entropy: 0.9928, recall: 0.6722, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8804, scimark_benchmark: 936.3213, usercpu_time_millis: 390, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.703, kappa: 0.3995, kb_relative_information_score: 103.005, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7028, predictive_accuracy: 0.7033, prior_entropy: 0.9928, recall: 0.7033, relative_absolute_error: 0.779, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8721, scimark_benchmark: 870.2101, usercpu_time_millis: 7400, usercpu_time_millis_testing: 3720, usercpu_time_millis_training: 3680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.6964, kappa: 0.387, kb_relative_information_score: 102.9174, mean_absolute_error: 0.3855, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6967, predictive_accuracy: 0.6962, prior_entropy: 0.9928, recall: 0.6962, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8725, scimark_benchmark: 935.5664, usercpu_time_millis: 2170, usercpu_time_millis_testing: 790, usercpu_time_millis_training: 1380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.6864, kappa: 0.3659, kb_relative_information_score: 102.403, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6862, predictive_accuracy: 0.6866, prior_entropy: 0.9928, recall: 0.6866, relative_absolute_error: 0.7794, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8764, scimark_benchmark: 906.8974, usercpu_time_millis: 1400, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.7029, kappa: 0.3989, kb_relative_information_score: 103.8089, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7026, predictive_accuracy: 0.7033, prior_entropy: 0.9928, recall: 0.7033, relative_absolute_error: 0.7741, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8786, scimark_benchmark: 928.7131, usercpu_time_millis: 430, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7816, f_measure: 0.6959, kappa: 0.3853, kb_relative_information_score: 108.249, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6958, predictive_accuracy: 0.6962, prior_entropy: 0.9928, recall: 0.6962, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8731, scimark_benchmark: 899.1108, usercpu_time_millis: 280, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7076, kappa: 0.4086, kb_relative_information_score: 127.4852, mean_absolute_error: 0.3521, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7075, predictive_accuracy: 0.7081, prior_entropy: 0.9928, recall: 0.7081, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8969, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7076, kappa: 0.4086, kb_relative_information_score: 127.4852, mean_absolute_error: 0.3521, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7075, predictive_accuracy: 0.7081, prior_entropy: 0.9928, recall: 0.7081, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8969, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7076, kappa: 0.4086, kb_relative_information_score: 127.4852, mean_absolute_error: 0.3521, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7075, predictive_accuracy: 0.7081, prior_entropy: 0.9928, recall: 0.7081, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8969, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7076, kappa: 0.4086, kb_relative_information_score: 127.4852, mean_absolute_error: 0.3521, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7075, predictive_accuracy: 0.7081, prior_entropy: 0.9928, recall: 0.7081, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8969, scimark_benchmark: 936.7184, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7076, kappa: 0.4086, kb_relative_information_score: 127.4852, mean_absolute_error: 0.3521, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7075, predictive_accuracy: 0.7081, prior_entropy: 0.9928, recall: 0.7081, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8969, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.6942, kappa: 0.3831, kb_relative_information_score: 101.1331, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6948, predictive_accuracy: 0.6938, prior_entropy: 0.9928, recall: 0.6938, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.8983, scimark_benchmark: 1317.5857, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.6802, kappa: 0.3524, kb_relative_information_score: 89.8212, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6804, predictive_accuracy: 0.6818, prior_entropy: 0.9928, recall: 0.6818, relative_absolute_error: 0.8077, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9275, scimark_benchmark: 1343.7262,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7172, kappa: 0.428, kb_relative_information_score: 133.0646, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7171, predictive_accuracy: 0.7177, prior_entropy: 0.9928, recall: 0.7177, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8765, scimark_benchmark: 1336.0954, usercpu_time_millis: 3890, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3850,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7015, kappa: 0.4053, kb_relative_information_score: 130.4489, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7107, predictive_accuracy: 0.701, prior_entropy: 0.9928, recall: 0.701, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9426, scimark_benchmark: 1346.4374,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs