OpenML
Supervised Classification on hypothyroid

Supervised Classification on hypothyroid

Task 3863 Supervised Classification hypothyroid 522 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9971, kappa: 0.9794, kb_relative_information_score: 3594.5333, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.3928, recall: 0.9971, relative_absolute_error: 0.0371, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0529, root_relative_squared_error: 0.1984, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9783, kappa: 0.8554, kb_relative_information_score: 2688.0117, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.981, predictive_accuracy: 0.9772, prior_entropy: 0.3928, recall: 0.9772, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.5095, scimark_benchmark: 1870.7932, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9805, kappa: 0.8673, kb_relative_information_score: 2841.6231, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9818, predictive_accuracy: 0.9799, prior_entropy: 0.3928, recall: 0.9799, relative_absolute_error: 0.2162, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.127, root_relative_squared_error: 0.476, scimark_benchmark: 1870.7932, usercpu_time_millis: 46.8003, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.9412, kappa: 0.5377, kb_relative_information_score: 1799.519, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9446, predictive_accuracy: 0.9491, prior_entropy: 0.3928, recall: 0.9491, relative_absolute_error: 0.4059, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.8062, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.943, kappa: 0.5546, kb_relative_information_score: 1927.2737, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9457, predictive_accuracy: 0.9502, prior_entropy: 0.3928, recall: 0.9502, relative_absolute_error: 0.3715, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.7876, scimark_benchmark: 1732.2066, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.9412, kappa: 0.5377, kb_relative_information_score: 1799.519, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9446, predictive_accuracy: 0.9491, prior_entropy: 0.3928, recall: 0.9491, relative_absolute_error: 0.4059, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.8062, scimark_benchmark: 1887.4343, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.981, kappa: 0.8715, kb_relative_information_score: 2754.1904, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9825, predictive_accuracy: 0.9804, prior_entropy: 0.3928, recall: 0.9804, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.4744, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9976, kappa: 0.9833, kb_relative_information_score: 3620.6892, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.3928, recall: 0.9976, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.1827, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9596, kappa: 0.6958, kb_relative_information_score: 2526.8834, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9603, predictive_accuracy: 0.9626, prior_entropy: 0.3928, recall: 0.9626, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.5753, scimark_benchmark: 1806.5905, usercpu_time_millis: 1513.2097, usercpu_time_millis_testing: 639.6041, usercpu_time_millis_training: 873.6056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9955, kappa: 0.9688, kb_relative_information_score: 3084.5152, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9956, predictive_accuracy: 0.9955, prior_entropy: 0.3928, recall: 0.9955, relative_absolute_error: 0.1788, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.081, root_relative_squared_error: 0.3038, scimark_benchmark: 1806.5905, usercpu_time_millis: 592.8038, usercpu_time_millis_testing: 187.2012, usercpu_time_millis_training: 405.6026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.9089, kappa: 0.4462, kb_relative_information_score: 38.2672, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9261, predictive_accuracy: 0.8979, prior_entropy: 0.3928, recall: 0.8979, relative_absolute_error: 0.7178, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.3182, root_relative_squared_error: 1.1926, scimark_benchmark: 1806.5905, usercpu_time_millis: 733.2047, usercpu_time_millis_testing: 717.6046, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.9144, kappa: 0.3699, kb_relative_information_score: 784.9333, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9111, predictive_accuracy: 0.9186, prior_entropy: 0.3928, recall: 0.9186, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2852, root_relative_squared_error: 1.0689, scimark_benchmark: 1806.5905, usercpu_time_millis: 2371.2152, usercpu_time_millis_testing: 2371.2152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.9412, kappa: 0.5377, kb_relative_information_score: 1799.519, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9446, predictive_accuracy: 0.9491, prior_entropy: 0.3928, recall: 0.9491, relative_absolute_error: 0.4059, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.8062, scimark_benchmark: 1877.5305, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.943, kappa: 0.5546, kb_relative_information_score: 1927.2737, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9457, predictive_accuracy: 0.9502, prior_entropy: 0.3928, recall: 0.9502, relative_absolute_error: 0.3715, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.7876, scimark_benchmark: 1850.8887, usercpu_time_millis: 46.8003, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.8858, kb_relative_information_score: -6.8158, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.8517, predictive_accuracy: 0.9229, prior_entropy: 0.3928, recall: 0.9229, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2668, root_relative_squared_error: 1, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9955, kappa: 0.9686, kb_relative_information_score: 3548.1267, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.3928, recall: 0.9955, relative_absolute_error: 0.0459, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0633, root_relative_squared_error: 0.2373, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9974, kappa: 0.9816, kb_relative_information_score: 3392.5697, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9974, predictive_accuracy: 0.9973, prior_entropy: 0.3928, recall: 0.9973, relative_absolute_error: 0.0973, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0579, root_relative_squared_error: 0.2169, scimark_benchmark: 972.587, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9976, kappa: 0.9833, kb_relative_information_score: 3468.8648, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.3928, recall: 0.9976, relative_absolute_error: 0.0937, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1978, scimark_benchmark: 851.2074, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5326, f_measure: 0.8976, kappa: 0.1142, kb_relative_information_score: 1127.5703, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9331, predictive_accuracy: 0.9279, prior_entropy: 0.3928, recall: 0.9279, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2685, root_relative_squared_error: 1.0064, scimark_benchmark: 904.6764, usercpu_time_millis: 5830, usercpu_time_millis_testing: 1780, usercpu_time_millis_training: 4050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5326, f_measure: 0.8976, kappa: 0.1142, kb_relative_information_score: 1127.5703, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9331, predictive_accuracy: 0.9279, prior_entropy: 0.3928, recall: 0.9279, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2685, root_relative_squared_error: 1.0064, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9821, kappa: 0.8731, kb_relative_information_score: 2986.0666, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.982, predictive_accuracy: 0.9822, prior_entropy: 0.3928, recall: 0.9822, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4399, scimark_benchmark: 941.6675, usercpu_time_millis: 150, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9821, kappa: 0.8731, kb_relative_information_score: 2986.0666, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.982, predictive_accuracy: 0.9822, prior_entropy: 0.3928, recall: 0.9822, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4399, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9968, kappa: 0.9777, kb_relative_information_score: 3522.6585, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.3928, recall: 0.9968, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.2077, scimark_benchmark: 941.6675, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9638, kappa: 0.7239, kb_relative_information_score: 2166.2282, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9665, predictive_accuracy: 0.9671, prior_entropy: 0.3928, recall: 0.9671, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.5815, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9821, kappa: 0.8731, kb_relative_information_score: 2986.0666, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.982, predictive_accuracy: 0.9822, prior_entropy: 0.3928, recall: 0.9822, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4399, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9936, kappa: 0.9555, kb_relative_information_score: 3477.7554, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9937, predictive_accuracy: 0.9936, prior_entropy: 0.3928, recall: 0.9936, relative_absolute_error: 0.0604, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.2782, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5326, f_measure: 0.8976, kappa: 0.1142, kb_relative_information_score: 1127.5703, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9331, predictive_accuracy: 0.9279, prior_entropy: 0.3928, recall: 0.9279, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2685, root_relative_squared_error: 1.0064, scimark_benchmark: 932.438, usercpu_time_millis: 5260, usercpu_time_millis_testing: 1270, usercpu_time_millis_training: 3990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5326, f_measure: 0.8976, kappa: 0.1142, kb_relative_information_score: 1127.5703, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9331, predictive_accuracy: 0.9279, prior_entropy: 0.3928, recall: 0.9279, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2685, root_relative_squared_error: 1.0064, scimark_benchmark: 932.438, usercpu_time_millis: 5010, usercpu_time_millis_testing: 1460, usercpu_time_millis_training: 3550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9762, kappa: 0.8308, kb_relative_information_score: 2858.7575, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.976, predictive_accuracy: 0.9764, prior_entropy: 0.3928, recall: 0.9764, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.4881, scimark_benchmark: 974.2014, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9821, kappa: 0.8731, kb_relative_information_score: 2986.0666, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.982, predictive_accuracy: 0.9822, prior_entropy: 0.3928, recall: 0.9822, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4399, scimark_benchmark: 941.3847, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9821, kappa: 0.8731, kb_relative_information_score: 2986.0666, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.982, predictive_accuracy: 0.9822, prior_entropy: 0.3928, recall: 0.9822, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4399, scimark_benchmark: 974.2014, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9821, kappa: 0.8731, kb_relative_information_score: 2986.0666, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.982, predictive_accuracy: 0.9822, prior_entropy: 0.3928, recall: 0.9822, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4399, scimark_benchmark: 947.1781, usercpu_time_millis: 110, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9936, kappa: 0.9555, kb_relative_information_score: 3477.7554, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9937, predictive_accuracy: 0.9936, prior_entropy: 0.3928, recall: 0.9936, relative_absolute_error: 0.0604, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.2782, scimark_benchmark: 938.5498, usercpu_time_millis: 3270, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9955, kappa: 0.9688, kb_relative_information_score: 3084.5152, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9956, predictive_accuracy: 0.9955, prior_entropy: 0.3928, recall: 0.9955, relative_absolute_error: 0.1788, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.081, root_relative_squared_error: 0.3038, scimark_benchmark: 974.2014, usercpu_time_millis: 1240, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9955, kappa: 0.9686, kb_relative_information_score: 3548.1267, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.3928, recall: 0.9955, relative_absolute_error: 0.0459, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0633, root_relative_squared_error: 0.2373, scimark_benchmark: 819.5729, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5326, f_measure: 0.8976, kappa: 0.1142, kb_relative_information_score: 1127.5703, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9331, predictive_accuracy: 0.9279, prior_entropy: 0.3928, recall: 0.9279, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2685, root_relative_squared_error: 1.0064, scimark_benchmark: 926.5462, usercpu_time_millis: 5000, usercpu_time_millis_testing: 1240, usercpu_time_millis_training: 3760,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9821, kappa: 0.8731, kb_relative_information_score: 2986.0666, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.982, predictive_accuracy: 0.9822, prior_entropy: 0.3928, recall: 0.9822, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4399, scimark_benchmark: 938.838, usercpu_time_millis: 80, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9968, kappa: 0.9777, kb_relative_information_score: 3522.6585, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.3928, recall: 0.9968, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.2077, scimark_benchmark: 922.5036, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9638, kappa: 0.7239, kb_relative_information_score: 2166.2282, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9665, predictive_accuracy: 0.9671, prior_entropy: 0.3928, recall: 0.9671, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.5815, scimark_benchmark: 946.9304, usercpu_time_millis: 399770, usercpu_time_millis_testing: 4140, usercpu_time_millis_training: 395630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9821, kappa: 0.8731, kb_relative_information_score: 2986.0666, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.982, predictive_accuracy: 0.9822, prior_entropy: 0.3928, recall: 0.9822, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4399, scimark_benchmark: 952.4682, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9936, kappa: 0.9555, kb_relative_information_score: 3477.7554, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9937, predictive_accuracy: 0.9936, prior_entropy: 0.3928, recall: 0.9936, relative_absolute_error: 0.0604, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.2782, scimark_benchmark: 942.3809, usercpu_time_millis: 3450, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9955, kappa: 0.9688, kb_relative_information_score: 3084.5152, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9956, predictive_accuracy: 0.9955, prior_entropy: 0.3928, recall: 0.9955, relative_absolute_error: 0.1788, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.081, root_relative_squared_error: 0.3038, scimark_benchmark: 928.8135, usercpu_time_millis: 1100, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9955, kappa: 0.9686, kb_relative_information_score: 3548.1267, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.3928, recall: 0.9955, relative_absolute_error: 0.0459, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0633, root_relative_squared_error: 0.2373, scimark_benchmark: 901.8743, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5326, f_measure: 0.8976, kappa: 0.1142, kb_relative_information_score: 1127.5703, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9331, predictive_accuracy: 0.9279, prior_entropy: 0.3928, recall: 0.9279, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2685, root_relative_squared_error: 1.0064, scimark_benchmark: 917.9672, usercpu_time_millis: 4770, usercpu_time_millis_testing: 1420, usercpu_time_millis_training: 3350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5326, f_measure: 0.8976, kappa: 0.1142, kb_relative_information_score: 1127.5703, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9331, predictive_accuracy: 0.9279, prior_entropy: 0.3928, recall: 0.9279, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2685, root_relative_squared_error: 1.0064, scimark_benchmark: 1322.0065, usercpu_time_millis: 4880, usercpu_time_millis_testing: 1570, usercpu_time_millis_training: 3310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9762, kappa: 0.8308, kb_relative_information_score: 2858.7575, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.976, predictive_accuracy: 0.9764, prior_entropy: 0.3928, recall: 0.9764, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.4881, scimark_benchmark: 1346.2927, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9955, kappa: 0.9686, kb_relative_information_score: 3548.1267, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.3928, recall: 0.9955, relative_absolute_error: 0.0459, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0633, root_relative_squared_error: 0.2373, scimark_benchmark: 1317.8359, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9762, kappa: 0.8308, kb_relative_information_score: 2858.7575, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.976, predictive_accuracy: 0.9764, prior_entropy: 0.3928, recall: 0.9764, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.4881, scimark_benchmark: 1335.974, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9762, kappa: 0.8308, kb_relative_information_score: 2858.7575, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.976, predictive_accuracy: 0.9764, prior_entropy: 0.3928, recall: 0.9764, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.4881, scimark_benchmark: 1342.8632, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9821, kappa: 0.8731, kb_relative_information_score: 2986.0666, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.982, predictive_accuracy: 0.9822, prior_entropy: 0.3928, recall: 0.9822, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4399, scimark_benchmark: 1353.0836, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9821, kappa: 0.8731, kb_relative_information_score: 2986.0666, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.982, predictive_accuracy: 0.9822, prior_entropy: 0.3928, recall: 0.9822, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4399, scimark_benchmark: 1353.0836, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9968, kappa: 0.9777, kb_relative_information_score: 3522.6585, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.3928, recall: 0.9968, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.2077, scimark_benchmark: 1325.7874, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9821, kappa: 0.8731, kb_relative_information_score: 2986.0666, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.982, predictive_accuracy: 0.9822, prior_entropy: 0.3928, recall: 0.9822, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4399, scimark_benchmark: 1332.9478, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9762, kappa: 0.8308, kb_relative_information_score: 2858.7575, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.976, predictive_accuracy: 0.9764, prior_entropy: 0.3928, recall: 0.9764, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.4881, scimark_benchmark: 1336.0954, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9955, kappa: 0.9686, kb_relative_information_score: 3548.1267, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.3928, recall: 0.9955, relative_absolute_error: 0.0459, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0633, root_relative_squared_error: 0.2373, scimark_benchmark: 944.4621, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9974, kappa: 0.9816, kb_relative_information_score: 3392.5697, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9974, predictive_accuracy: 0.9973, prior_entropy: 0.3928, recall: 0.9973, relative_absolute_error: 0.0973, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0579, root_relative_squared_error: 0.2169, scimark_benchmark: 1360.6367, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9976, kappa: 0.9833, kb_relative_information_score: 3468.8648, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.3928, recall: 0.9976, relative_absolute_error: 0.0937, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1978, scimark_benchmark: 1336.0954, usercpu_time_millis: 1000, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5326, f_measure: 0.8976, kappa: 0.1142, kb_relative_information_score: 1127.5703, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9331, predictive_accuracy: 0.9279, prior_entropy: 0.3928, recall: 0.9279, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.2685, root_relative_squared_error: 1.0064, scimark_benchmark: 1346.2927, usercpu_time_millis: 4060, usercpu_time_millis_testing: 1530, usercpu_time_millis_training: 2530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9762, kappa: 0.8308, kb_relative_information_score: 2858.7575, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.976, predictive_accuracy: 0.9764, prior_entropy: 0.3928, recall: 0.9764, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.4881, scimark_benchmark: 1331.2559, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9821, kappa: 0.8731, kb_relative_information_score: 2986.0666, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.982, predictive_accuracy: 0.9822, prior_entropy: 0.3928, recall: 0.9822, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4399, scimark_benchmark: 1346.2927, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9821, kappa: 0.8731, kb_relative_information_score: 2986.0666, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.982, predictive_accuracy: 0.9822, prior_entropy: 0.3928, recall: 0.9822, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4399, scimark_benchmark: 908.2231, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9821, kappa: 0.8731, kb_relative_information_score: 2986.0666, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.982, predictive_accuracy: 0.9822, prior_entropy: 0.3928, recall: 0.9822, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4399, scimark_benchmark: 908.2231, usercpu_time_millis: 80, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9936, kappa: 0.9555, kb_relative_information_score: 3477.7554, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9937, predictive_accuracy: 0.9936, prior_entropy: 0.3928, recall: 0.9936, relative_absolute_error: 0.0604, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.2782, scimark_benchmark: 1331.7953, usercpu_time_millis: 4680, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9974, kappa: 0.9816, kb_relative_information_score: 3392.5697, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.9974, predictive_accuracy: 0.9973, prior_entropy: 0.3928, recall: 0.9973, relative_absolute_error: 0.0973, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.0579, root_relative_squared_error: 0.2169, scimark_benchmark: 1336.0954, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9762, kappa: 0.8308, kb_relative_information_score: 2858.7575, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1426, number_of_instances: 3772, precision: 0.976, predictive_accuracy: 0.9764, prior_entropy: 0.3928, recall: 0.9764, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.2668, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.4881, scimark_benchmark: 1317.5857, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,

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