OpenML
Supervised Classification on usp05-ft

Supervised Classification on usp05-ft

Task 3908 Supervised Classification usp05-ft 321 runs submitted
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  • study_1 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.9074, kappa: 0.8157, kb_relative_information_score: 43.8786, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8916, predictive_accuracy: 0.9306, prior_entropy: 1.4392, recall: 0.9306, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.5904, scimark_benchmark: 851.2074, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.7897, kappa: 0.4741, kb_relative_information_score: 30.4801, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.7477, predictive_accuracy: 0.8472, prior_entropy: 1.4392, recall: 0.8472, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.8732, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.7897, kappa: 0.4741, kb_relative_information_score: 30.4801, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.7477, predictive_accuracy: 0.8472, prior_entropy: 1.4392, recall: 0.8472, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.8732, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9075, kappa: 0.7853, kb_relative_information_score: 48.1044, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.901, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.5242, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9075, kappa: 0.7853, kb_relative_information_score: 48.1044, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.901, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.5242, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8418, kappa: 0.6195, kb_relative_information_score: 33.3472, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8192, predictive_accuracy: 0.875, prior_entropy: 1.4392, recall: 0.875, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.7114, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9075, kappa: 0.7853, kb_relative_information_score: 48.1044, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.901, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.5242, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8926, kappa: 0.7788, kb_relative_information_score: 41.9921, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8757, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.2831, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.6038, scimark_benchmark: 927.2917, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.7897, kappa: 0.4741, kb_relative_information_score: 30.4801, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.7477, predictive_accuracy: 0.8472, prior_entropy: 1.4392, recall: 0.8472, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.8732, scimark_benchmark: 938.5498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9075, kappa: 0.7853, kb_relative_information_score: 48.1044, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.901, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.5242, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9075, kappa: 0.7853, kb_relative_information_score: 48.1044, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.901, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.5242, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8926, kappa: 0.7788, kb_relative_information_score: 41.9921, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8757, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.2831, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.6038, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8597, kappa: 0.6624, kb_relative_information_score: 39.9284, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8408, predictive_accuracy: 0.8889, prior_entropy: 1.4392, recall: 0.8889, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.6108, scimark_benchmark: 943.1009, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.7897, kappa: 0.4741, kb_relative_information_score: 30.4801, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.7477, predictive_accuracy: 0.8472, prior_entropy: 1.4392, recall: 0.8472, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.8732, scimark_benchmark: 730.6551, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.7897, kappa: 0.4741, kb_relative_information_score: 30.4801, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.7477, predictive_accuracy: 0.8472, prior_entropy: 1.4392, recall: 0.8472, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.8732, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.8689, kappa: 0.6667, kb_relative_information_score: 38.2429, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8988, predictive_accuracy: 0.8472, prior_entropy: 1.4392, recall: 0.8472, relative_absolute_error: 0.4086, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.7943, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9075, kappa: 0.7853, kb_relative_information_score: 48.1044, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.901, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.5242, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9075, kappa: 0.7853, kb_relative_information_score: 48.1044, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.901, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.5242, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9075, kappa: 0.7853, kb_relative_information_score: 48.1044, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.901, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.5242, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8418, kappa: 0.6195, kb_relative_information_score: 33.3472, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8192, predictive_accuracy: 0.875, prior_entropy: 1.4392, recall: 0.875, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.7114, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9075, kappa: 0.7853, kb_relative_information_score: 48.1044, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.901, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.5242, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8926, kappa: 0.7788, kb_relative_information_score: 41.9921, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8757, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.2831, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.6038, scimark_benchmark: 934.695, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8597, kappa: 0.6624, kb_relative_information_score: 39.9284, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8408, predictive_accuracy: 0.8889, prior_entropy: 1.4392, recall: 0.8889, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.6108, scimark_benchmark: 917.5013, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9052, kappa: 0.8108, kb_relative_information_score: 41.0421, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8851, predictive_accuracy: 0.9306, prior_entropy: 1.4392, recall: 0.9306, relative_absolute_error: 0.3607, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.5462, scimark_benchmark: 608.4057, usercpu_time_millis: 1030, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9052, kappa: 0.8108, kb_relative_information_score: 41.2001, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8851, predictive_accuracy: 0.9306, prior_entropy: 1.4392, recall: 0.9306, relative_absolute_error: 0.364, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.5463, scimark_benchmark: 941.4991, usercpu_time_millis: 580, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.8902, kappa: 0.7672, kb_relative_information_score: 40.3898, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8728, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.5591, scimark_benchmark: 938.8535, usercpu_time_millis: 190, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.8913, kappa: 0.7726, kb_relative_information_score: 41.3454, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8679, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.5616, scimark_benchmark: 914.3583, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8752, kappa: 0.713, kb_relative_information_score: 39.8468, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8554, predictive_accuracy: 0.9028, prior_entropy: 1.4392, recall: 0.9028, relative_absolute_error: 0.3525, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.5879, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4175, f_measure: 0.6616, kb_relative_information_score: -1.1618, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.5835, predictive_accuracy: 0.7639, prior_entropy: 1.4392, recall: 0.7639, relative_absolute_error: 1.0117, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2599, root_relative_squared_error: 1.0058, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8861, kappa: 0.7545, kb_relative_information_score: 34.3312, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8819, predictive_accuracy: 0.9028, prior_entropy: 1.4392, recall: 0.9028, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.6706, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8861, kappa: 0.7545, kb_relative_information_score: 34.3312, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8819, predictive_accuracy: 0.9028, prior_entropy: 1.4392, recall: 0.9028, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.6706, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8861, kappa: 0.7545, kb_relative_information_score: 35.3609, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8819, predictive_accuracy: 0.9028, prior_entropy: 1.4392, recall: 0.9028, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.6858, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8729, kappa: 0.7124, kb_relative_information_score: 33.0223, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8649, predictive_accuracy: 0.8889, prior_entropy: 1.4392, recall: 0.8889, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.738, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8393, kappa: 0.5957, kb_relative_information_score: 40.4124, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.833, predictive_accuracy: 0.8472, prior_entropy: 1.4392, recall: 0.8472, relative_absolute_error: 0.313, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.7318, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6616, kb_relative_information_score: 16.7541, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.5835, predictive_accuracy: 0.7639, prior_entropy: 1.4392, recall: 0.7639, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2805, root_relative_squared_error: 1.0856, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8504, kappa: 0.6412, kb_relative_information_score: 31.5175, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8302, predictive_accuracy: 0.875, prior_entropy: 1.4392, recall: 0.875, relative_absolute_error: 0.4725, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.6933, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9, kappa: 0.7672, kb_relative_information_score: 32.2799, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8907, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.5194, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.165, root_relative_squared_error: 0.6386, scimark_benchmark: 899.1108, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.7506, kappa: 0.3134, kb_relative_information_score: 23.8215, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.7613, predictive_accuracy: 0.8056, prior_entropy: 1.4392, recall: 0.8056, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.8454, scimark_benchmark: 933.0918,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9075, kappa: 0.7853, kb_relative_information_score: 48.1044, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.901, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.5242, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8418, kappa: 0.6195, kb_relative_information_score: 33.3472, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8192, predictive_accuracy: 0.875, prior_entropy: 1.4392, recall: 0.875, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.7114, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9075, kappa: 0.7853, kb_relative_information_score: 48.1044, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.901, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.5242, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9075, kappa: 0.7853, kb_relative_information_score: 48.1044, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.901, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.5242, scimark_benchmark: 1347.917,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9075, kappa: 0.7853, kb_relative_information_score: 48.1044, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.901, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.5242, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8597, kappa: 0.6624, kb_relative_information_score: 39.9284, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.8408, predictive_accuracy: 0.8889, prior_entropy: 1.4392, recall: 0.8889, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.6108, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9075, kappa: 0.7853, kb_relative_information_score: 48.1044, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.901, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.5242, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9075, kappa: 0.7853, kb_relative_information_score: 48.1044, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1439, number_of_instances: 72, precision: 0.901, predictive_accuracy: 0.9167, prior_entropy: 1.4392, recall: 0.9167, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.2584, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.5242, scimark_benchmark: 1343.4596, usercpu_time_millis: 10, 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

OpenML bootcamp

From your own software

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

OpenML APIs