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: 0.6291, 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: 0.4831, 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: 0.6992, f_measure: 0.717, kappa: 0.3047, kb_relative_information_score: 57.0348, mean_absolute_error: 0.3254, 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: 0.7778, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9878,
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,
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: 0.7002, 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: 0.5834, 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: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5861, f_measure: 0.6855, kappa: 0.2141, kb_relative_information_score: 33.3579, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7087, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.8806, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9804, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, 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,
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: 0.5834, 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: 819.5729,
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: 0.7022, 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: 0.5, 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: 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: 0.6386, 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: 0.7002, 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,
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: 1297.6356,
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: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5276, f_measure: 0.6266, kappa: 0.0663, kb_relative_information_score: 46.9718, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6188, predictive_accuracy: 0.6748, prior_entropy: 0.8796, recall: 0.6748, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5702, root_relative_squared_error: 1.2477, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, f_measure: 0.6446, kappa: 0.1121, kb_relative_information_score: 20.6144, mean_absolute_error: 0.3836, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6484, predictive_accuracy: 0.6958, prior_entropy: 0.8796, recall: 0.6958, relative_absolute_error: 0.9171, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4707, root_relative_squared_error: 1.03, scimark_benchmark: 1355.7054, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6108, f_measure: 0.6634, kappa: 0.1739, kb_relative_information_score: 41.8549, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6566, predictive_accuracy: 0.6748, prior_entropy: 0.8796, recall: 0.6748, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.1945, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.629, f_measure: 0.6977, kappa: 0.2661, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6941, 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: 1325.2092, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5876, f_measure: 0.6739, kappa: 0.1921, kb_relative_information_score: 59.7925, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6674, predictive_accuracy: 0.6923, prior_entropy: 0.8796, recall: 0.6923, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.2137, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1355.9413, usercpu_time_millis: 1570, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5659, f_measure: 0.6536, kappa: 0.1434, kb_relative_information_score: 44.4077, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6452, predictive_accuracy: 0.6713, prior_entropy: 0.8796, recall: 0.6713, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5733, root_relative_squared_error: 1.2544, scimark_benchmark: 986.8456, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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: 1347.7065, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.6953, kappa: 0.2423, kb_relative_information_score: 32.2624, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6928, predictive_accuracy: 0.7168, prior_entropy: 0.8796, recall: 0.7168, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.9533, scimark_benchmark: 1334.9657, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 1323.237, usercpu_time_millis: 3430, usercpu_time_millis_training: 3430,
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: 1344.7246, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6527, f_measure: 0.6822, kappa: 0.2058, kb_relative_information_score: 17.933, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6834, predictive_accuracy: 0.7133, prior_entropy: 0.8796, recall: 0.7133, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9831, scimark_benchmark: 1347.3845, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1325.2092, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.4728, kappa: 0.0737, kb_relative_information_score: -104.3118, mean_absolute_error: 0.5315, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6382, predictive_accuracy: 0.4685, prior_entropy: 0.8796, recall: 0.4685, relative_absolute_error: 1.2705, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.729, root_relative_squared_error: 1.5951, scimark_benchmark: 1318.1432, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5749, f_measure: 0.6653, kappa: 0.1675, kb_relative_information_score: 57.2283, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6586, predictive_accuracy: 0.6888, prior_entropy: 0.8796, recall: 0.6888, relative_absolute_error: 0.7439, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5578, root_relative_squared_error: 1.2206, scimark_benchmark: 894.7222, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.7076, kappa: 0.3142, kb_relative_information_score: 67.4849, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7145, 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: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.6909, kappa: 0.2275, kb_relative_information_score: 41.1177, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7141, predictive_accuracy: 0.7343, prior_entropy: 0.8796, recall: 0.7343, relative_absolute_error: 0.826, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9864, scimark_benchmark: 937.6212, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6817, kappa: 0.2055, kb_relative_information_score: 30.7652, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6804, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.8674, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9709, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.581, f_measure: 0.6934, kappa: 0.2365, kb_relative_information_score: 30.5653, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6916, predictive_accuracy: 0.7168, prior_entropy: 0.8796, recall: 0.7168, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9908, scimark_benchmark: 938.0414, 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: 1028.5889,
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: 1368.9272, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
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: 1307.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, f_measure: 0.6538, kappa: 0.1341, kb_relative_information_score: 21.2816, mean_absolute_error: 0.3743, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6512, predictive_accuracy: 0.6923, prior_entropy: 0.8796, recall: 0.6923, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9958, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5767, f_measure: 0.6757, kappa: 0.1943, kb_relative_information_score: 90.562, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7252, predictive_accuracy: 0.7343, prior_entropy: 0.8796, recall: 0.7343, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.1279, scimark_benchmark: 1054.3694,
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: 1341.5768, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, 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: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5898, f_measure: 0.6489, kappa: 0.1384, kb_relative_information_score: 9.7273, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6414, predictive_accuracy: 0.6608, prior_entropy: 0.8796, recall: 0.6608, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4933, root_relative_squared_error: 1.0794, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5724, f_measure: 0.6625, kappa: 0.1613, kb_relative_information_score: 54.6642, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6553, predictive_accuracy: 0.6853, prior_entropy: 0.8796, recall: 0.6853, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.561, root_relative_squared_error: 1.2274, scimark_benchmark: 1384.4418,
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: 944.5495, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, f_measure: 0.6893, kappa: 0.2246, kb_relative_information_score: 24.3485, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6896, predictive_accuracy: 0.7168, prior_entropy: 0.8796, recall: 0.7168, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4572, root_relative_squared_error: 1.0003, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5861, f_measure: 0.6855, kappa: 0.2141, kb_relative_information_score: 33.3579, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7087, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.8806, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9804, scimark_benchmark: 1310.3951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6483, f_measure: 0.681, kappa: 0.2052, kb_relative_information_score: 32.0501, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6779, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.9766, scimark_benchmark: 932.0242, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, f_measure: 0.6989, kappa: 0.2496, kb_relative_information_score: 47.8321, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7466, predictive_accuracy: 0.7483, prior_entropy: 0.8796, recall: 0.7483, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.9515, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.723, kappa: 0.3072, kb_relative_information_score: 35.8793, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7516, predictive_accuracy: 0.7587, prior_entropy: 0.8796, recall: 0.7587, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.935, scimark_benchmark: 932.5646, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.6942, kappa: 0.2372, kb_relative_information_score: 34.0859, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6946, predictive_accuracy: 0.7203, prior_entropy: 0.8796, recall: 0.7203, relative_absolute_error: 0.8558, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.9609, scimark_benchmark: 943.1756, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.6728, kappa: 0.1862, kb_relative_information_score: 31.6072, mean_absolute_error: 0.3614, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6672, predictive_accuracy: 0.6958, prior_entropy: 0.8796, recall: 0.6958, relative_absolute_error: 0.8639, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9873, scimark_benchmark: 1325.2092, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.6859, kappa: 0.2226, kb_relative_information_score: 33.6857, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6804, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.9631, scimark_benchmark: 915.9324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6298, f_measure: 0.7066, kappa: 0.266, kb_relative_information_score: 83.9232, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.7226, predictive_accuracy: 0.7413, prior_entropy: 0.8796, recall: 0.7413, relative_absolute_error: 0.6599, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0879, scimark_benchmark: 1321.8733, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6644, f_measure: 0.6536, kappa: 0.1336, kb_relative_information_score: 26.0397, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6537, predictive_accuracy: 0.6958, prior_entropy: 0.8796, recall: 0.6958, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9719, scimark_benchmark: 1323.976, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.6802, kappa: 0.2101, kb_relative_information_score: 62.3566, mean_absolute_error: 0.3042, 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: 0.7272, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5515, root_relative_squared_error: 1.2068, scimark_benchmark: 929.0363, 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: 918.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6571, kappa: 0.1454, kb_relative_information_score: 26.8176, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.678, predictive_accuracy: 0.7133, prior_entropy: 0.8796, recall: 0.7133, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.9609, scimark_benchmark: 1344.3348, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
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: 1327.9952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1321.1875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, f_measure: 0.655, kappa: 0.1445, kb_relative_information_score: 19.0905, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6958, predictive_accuracy: 0.7203, prior_entropy: 0.8796, recall: 0.7203, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9624, scimark_benchmark: 918.0213,

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