OpenML
Supervised Classification on breast-cancer

Supervised Classification on breast-cancer

Task 13 Supervised Classification breast-cancer 767 runs submitted
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  • basic mythbusting mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, f_measure: 0.7088, kappa: 0.2719, kb_relative_information_score: 43.188, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.722, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9764, scimark_benchmark: 1851.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6386, f_measure: 0.7067, kappa: 0.2686, kb_relative_information_score: 50.0539, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7084, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.774, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0958, scimark_benchmark: 1851.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.714, kappa: 0.2983, kb_relative_information_score: 50.4665, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7098, predictive_accuracy: 0.7238, prior_entropy: 0.8796, recall: 0.7238, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9894, scimark_benchmark: 1851.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.714, kappa: 0.2983, kb_relative_information_score: 50.4665, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7098, predictive_accuracy: 0.7238, prior_entropy: 0.8796, recall: 0.7238, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9894, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.717, kappa: 0.3047, kb_relative_information_score: 56.4644, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7129, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9897, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.5801, kb_relative_information_score: -0.3776, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0001, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.5801, kb_relative_information_score: -0.3776, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0001, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.717, kappa: 0.3047, kb_relative_information_score: 56.4644, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7129, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9897, scimark_benchmark: 1336.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.5801, kb_relative_information_score: -0.3776, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0001, scimark_benchmark: 1336.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6291, f_measure: 0.651, kappa: 0.1271, kb_relative_information_score: 25.0941, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6493, predictive_accuracy: 0.6923, prior_entropy: 0.8796, recall: 0.6923, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9899, scimark_benchmark: 1336.8944, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.714, kappa: 0.2983, kb_relative_information_score: 50.4665, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7098, predictive_accuracy: 0.7238, prior_entropy: 0.8796, recall: 0.7238, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9894, scimark_benchmark: 1336.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, f_measure: 0.7088, kappa: 0.2719, kb_relative_information_score: 43.188, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.722, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9764, scimark_benchmark: 1336.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.7075, kappa: 0.2731, kb_relative_information_score: 51.6375, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.706, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.95, scimark_benchmark: 1244.7384, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.6892, kappa: 0.2339, kb_relative_information_score: 22.1886, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6836, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.971, scimark_benchmark: 1210.9913, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.717, kappa: 0.3047, kb_relative_information_score: 56.4644, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7129, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9897, scimark_benchmark: 1224.8503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.6743, kappa: 0.2189, kb_relative_information_score: 47.5355, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6737, predictive_accuracy: 0.6748, prior_entropy: 0.8796, recall: 0.6748, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.1271, scimark_benchmark: 1237.8253, usercpu_time_millis: 4160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6386, f_measure: 0.7067, kappa: 0.2686, kb_relative_information_score: 50.0539, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7084, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.774, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0958, scimark_benchmark: 473.1656, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, f_measure: 0.7072, kappa: 0.2682, kb_relative_information_score: 34.8021, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7377, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9722, scimark_benchmark: 473.1656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6271, f_measure: 0.6802, kappa: 0.2101, kb_relative_information_score: 26.5157, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.674, predictive_accuracy: 0.6958, prior_entropy: 0.8796, recall: 0.6958, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4626, root_relative_squared_error: 1.0121, scimark_benchmark: 1254.1389, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.717, kappa: 0.3047, kb_relative_information_score: 56.4644, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7129, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9897, scimark_benchmark: 473.1656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5903, f_measure: 0.6824, kappa: 0.2409, kb_relative_information_score: 16.8905, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6829, predictive_accuracy: 0.6818, prior_entropy: 0.8796, recall: 0.6818, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.9794, scimark_benchmark: 479.2609, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.717, kappa: 0.3047, kb_relative_information_score: 56.4644, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7129, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9897, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.717, kappa: 0.3047, kb_relative_information_score: 56.4644, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7129, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9897, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.7196, kappa: 0.3146, kb_relative_information_score: 54.5395, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7157, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9962, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.5801, kb_relative_information_score: -0.3776, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0001, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.5801, kb_relative_information_score: -0.3776, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0001, scimark_benchmark: 1248.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, f_measure: 0.7072, kappa: 0.2682, kb_relative_information_score: 34.8021, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7377, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9722, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.6858, kappa: 0.2177, kb_relative_information_score: 0.4691, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6829, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.9666, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.697, kappa: 0.2438, kb_relative_information_score: 40.4457, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6987, predictive_accuracy: 0.7238, prior_entropy: 0.8796, recall: 0.7238, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.9654, scimark_benchmark: 851.2074, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 931.771, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7138, kappa: 0.2905, kb_relative_information_score: 52.8096, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7116, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9707, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7138, kappa: 0.2905, kb_relative_information_score: 52.8096, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7116, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9707, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7138, kappa: 0.2905, kb_relative_information_score: 52.8096, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7116, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9707, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.6695, kappa: 0.1734, kb_relative_information_score: 25.198, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.675, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.8875, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9889, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7138, kappa: 0.2905, kb_relative_information_score: 52.8096, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7116, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9707, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.7208, kappa: 0.3051, kb_relative_information_score: 70.8883, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7224, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9764, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.7152, kappa: 0.2889, kb_relative_information_score: 36.429, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7215, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.9717, scimark_benchmark: 931.771, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 932.438, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.7208, kappa: 0.3051, kb_relative_information_score: 70.8883, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7224, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9764, scimark_benchmark: 943.1009, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.6695, kappa: 0.1734, kb_relative_information_score: 25.198, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.675, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.8875, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9889, scimark_benchmark: 946.9304, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.7, kappa: 0.2545, kb_relative_information_score: 44.4553, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6976, predictive_accuracy: 0.7203, prior_entropy: 0.8796, recall: 0.7203, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9805, scimark_benchmark: 879.4299, usercpu_time_millis: 1950, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1920,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.7208, kappa: 0.3051, kb_relative_information_score: 70.8883, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7224, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9764, scimark_benchmark: 942.3809, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.7152, kappa: 0.2889, kb_relative_information_score: 36.429, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7215, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.9717, scimark_benchmark: 942.3809, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, f_measure: 0.7072, kappa: 0.2682, kb_relative_information_score: 34.8021, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7377, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9722, scimark_benchmark: 933.4598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.7, kappa: 0.2545, kb_relative_information_score: 44.4553, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6976, predictive_accuracy: 0.7203, prior_entropy: 0.8796, recall: 0.7203, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9805, scimark_benchmark: 1322.0065, usercpu_time_millis: 2100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7138, kappa: 0.2905, kb_relative_information_score: 52.8096, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7116, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9707, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7138, kappa: 0.2905, kb_relative_information_score: 52.8096, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7116, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9707, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.7152, kappa: 0.2889, kb_relative_information_score: 36.429, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7215, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.9717, scimark_benchmark: 1322.5413, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7138, kappa: 0.2905, kb_relative_information_score: 52.8096, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7116, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9707, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, f_measure: 0.7072, kappa: 0.2682, kb_relative_information_score: 34.8021, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7377, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9722, scimark_benchmark: 1324.9519, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.7196, kappa: 0.3146, kb_relative_information_score: 54.5395, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7157, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9962, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.7196, kappa: 0.3146, kb_relative_information_score: 54.5395, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7157, predictive_accuracy: 0.7273, prior_entropy: 0.8796, recall: 0.7273, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9962, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7138, kappa: 0.2905, kb_relative_information_score: 52.8096, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7116, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9707, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.7, kappa: 0.2545, kb_relative_information_score: 44.4553, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6976, predictive_accuracy: 0.7203, prior_entropy: 0.8796, recall: 0.7203, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9805, scimark_benchmark: 1332.9478, usercpu_time_millis: 2250, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7138, kappa: 0.2905, kb_relative_information_score: 52.8096, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7116, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9707, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7138, kappa: 0.2905, kb_relative_information_score: 52.8096, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7116, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9707, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7138, kappa: 0.2905, kb_relative_information_score: 52.8096, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7116, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9707, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 1333.202, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,

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