OpenML
Supervised Classification on glass

Supervised Classification on glass

Task 1920 Supervised Classification glass 169 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7194, kappa: 0.6233, kb_relative_information_score: 1248.7589, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7232, predictive_accuracy: 0.7234, prior_entropy: 2.2315, recall: 0.7234, relative_absolute_error: 0.4897, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.7849, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.6798, kappa: 0.5668, kb_relative_information_score: 1196.0471, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.6796, predictive_accuracy: 0.6818, prior_entropy: 2.2315, recall: 0.6818, relative_absolute_error: 0.5361, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.811, scimark_benchmark: 851.2074, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.6413, kappa: 0.5377, kb_relative_information_score: 1155.7713, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.6255, predictive_accuracy: 0.6752, prior_entropy: 2.2315, recall: 0.6752, relative_absolute_error: 0.4385, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.9389, scimark_benchmark: 916.0735, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7301, kappa: 0.6414, kb_relative_information_score: 1286.443, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7334, predictive_accuracy: 0.7388, prior_entropy: 2.2315, recall: 0.7388, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.751, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7301, kappa: 0.6414, kb_relative_information_score: 1286.443, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7334, predictive_accuracy: 0.7388, prior_entropy: 2.2315, recall: 0.7388, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.751, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7301, kappa: 0.6414, kb_relative_information_score: 1286.443, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7334, predictive_accuracy: 0.7388, prior_entropy: 2.2315, recall: 0.7388, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.751, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.7194, kappa: 0.6304, kb_relative_information_score: 1209.8048, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.73, predictive_accuracy: 0.7327, prior_entropy: 2.2315, recall: 0.7327, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.237, root_relative_squared_error: 0.7304, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7301, kappa: 0.6414, kb_relative_information_score: 1286.443, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7334, predictive_accuracy: 0.7388, prior_entropy: 2.2315, recall: 0.7388, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.751, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.7855, kappa: 0.7127, kb_relative_information_score: 1357.8213, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.788, predictive_accuracy: 0.7911, prior_entropy: 2.2315, recall: 0.7911, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.6538, scimark_benchmark: 931.771, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.6413, kappa: 0.5377, kb_relative_information_score: 1155.7713, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.6255, predictive_accuracy: 0.6752, prior_entropy: 2.2315, recall: 0.6752, relative_absolute_error: 0.4385, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.9389, scimark_benchmark: 937.5117, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.6978, kappa: 0.6136, kb_relative_information_score: 1285.3959, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7079, predictive_accuracy: 0.7182, prior_entropy: 2.2315, recall: 0.7182, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.7621, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7301, kappa: 0.6414, kb_relative_information_score: 1286.443, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7334, predictive_accuracy: 0.7388, prior_entropy: 2.2315, recall: 0.7388, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.751, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.7034, kappa: 0.6086, kb_relative_information_score: 1203.5752, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7043, predictive_accuracy: 0.7154, prior_entropy: 2.2315, recall: 0.7154, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.7691, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.7855, kappa: 0.7127, kb_relative_information_score: 1357.8213, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.788, predictive_accuracy: 0.7911, prior_entropy: 2.2315, recall: 0.7911, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.6538, scimark_benchmark: 943.1009, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7194, kappa: 0.6233, kb_relative_information_score: 1248.7589, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7232, predictive_accuracy: 0.7234, prior_entropy: 2.2315, recall: 0.7234, relative_absolute_error: 0.4897, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.7849, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.6798, kappa: 0.5668, kb_relative_information_score: 1196.0471, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.6796, predictive_accuracy: 0.6818, prior_entropy: 2.2315, recall: 0.6818, relative_absolute_error: 0.5361, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.811, scimark_benchmark: 936.2574, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.6413, kappa: 0.5377, kb_relative_information_score: 1155.7713, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.6255, predictive_accuracy: 0.6752, prior_entropy: 2.2315, recall: 0.6752, relative_absolute_error: 0.4385, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.9389, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.6413, kappa: 0.5377, kb_relative_information_score: 1155.7713, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.6255, predictive_accuracy: 0.6752, prior_entropy: 2.2315, recall: 0.6752, relative_absolute_error: 0.4385, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.9389, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7301, kappa: 0.6414, kb_relative_information_score: 1286.443, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7334, predictive_accuracy: 0.7388, prior_entropy: 2.2315, recall: 0.7388, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.751, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.7194, kappa: 0.6304, kb_relative_information_score: 1209.8048, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.73, predictive_accuracy: 0.7327, prior_entropy: 2.2315, recall: 0.7327, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.237, root_relative_squared_error: 0.7304, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7301, kappa: 0.6414, kb_relative_information_score: 1286.443, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7334, predictive_accuracy: 0.7388, prior_entropy: 2.2315, recall: 0.7388, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.751, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.7034, kappa: 0.6086, kb_relative_information_score: 1203.5752, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7043, predictive_accuracy: 0.7154, prior_entropy: 2.2315, recall: 0.7154, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.7691, scimark_benchmark: 936.3213, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.7855, kappa: 0.7127, kb_relative_information_score: 1357.8213, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.788, predictive_accuracy: 0.7911, prior_entropy: 2.2315, recall: 0.7911, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.6538, scimark_benchmark: 901.4991, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.764, kappa: 0.6846, kb_relative_information_score: 1310.0639, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7685, predictive_accuracy: 0.772, prior_entropy: 2.2315, recall: 0.772, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.6697, scimark_benchmark: 920.2531, usercpu_time_millis: 1070, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.7646, kappa: 0.6856, kb_relative_information_score: 1310.825, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7688, predictive_accuracy: 0.7724, prior_entropy: 2.2315, recall: 0.7724, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.6715, scimark_benchmark: 934.7923, usercpu_time_millis: 490, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.76, kappa: 0.6805, kb_relative_information_score: 1307.8534, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7631, predictive_accuracy: 0.7687, prior_entropy: 2.2315, recall: 0.7687, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.674, scimark_benchmark: 922.613, usercpu_time_millis: 250, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.7493, kappa: 0.6653, kb_relative_information_score: 1304.5525, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7517, predictive_accuracy: 0.7575, prior_entropy: 2.2315, recall: 0.7575, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.6817, scimark_benchmark: 896.2181, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.7378, kappa: 0.649, kb_relative_information_score: 1295.5043, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7409, predictive_accuracy: 0.7458, prior_entropy: 2.2315, recall: 0.7458, relative_absolute_error: 0.5029, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.6992, scimark_benchmark: 936.7184, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.472, f_measure: 0.1861, kb_relative_information_score: 1.6344, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.1261, predictive_accuracy: 0.3551, prior_entropy: 2.2315, recall: 0.3551, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3245, root_relative_squared_error: 1.0003, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6582, f_measure: 0.283, kappa: 0.24, kb_relative_information_score: 592.2954, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.207, predictive_accuracy: 0.4477, prior_entropy: 2.2315, recall: 0.4477, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.303, root_relative_squared_error: 0.934, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6582, f_measure: 0.283, kappa: 0.24, kb_relative_information_score: 592.2954, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.207, predictive_accuracy: 0.4477, prior_entropy: 2.2315, recall: 0.4477, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.303, root_relative_squared_error: 0.934, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6582, f_measure: 0.283, kappa: 0.24, kb_relative_information_score: 592.2954, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.207, predictive_accuracy: 0.4477, prior_entropy: 2.2315, recall: 0.4477, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.303, root_relative_squared_error: 0.934, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6582, f_measure: 0.283, kappa: 0.24, kb_relative_information_score: 592.2954, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.207, predictive_accuracy: 0.4477, prior_entropy: 2.2315, recall: 0.4477, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.303, root_relative_squared_error: 0.934, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6582, f_measure: 0.283, kappa: 0.24, kb_relative_information_score: 592.2954, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.207, predictive_accuracy: 0.4477, prior_entropy: 2.2315, recall: 0.4477, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.303, root_relative_squared_error: 0.934, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1861, kb_relative_information_score: 297.7933, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.1261, predictive_accuracy: 0.3551, prior_entropy: 2.2315, recall: 0.3551, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.4292, root_relative_squared_error: 1.323, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.7487, kappa: 0.6604, kb_relative_information_score: 1314.1536, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7486, predictive_accuracy: 0.7523, prior_entropy: 2.2315, recall: 0.7523, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.7009, scimark_benchmark: 926.5859, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.7196, kappa: 0.6206, kb_relative_information_score: 1264.7387, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7218, predictive_accuracy: 0.722, prior_entropy: 2.2315, recall: 0.722, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.7125, scimark_benchmark: 936.7184, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.7855, kappa: 0.7127, kb_relative_information_score: 1357.8213, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.788, predictive_accuracy: 0.7911, prior_entropy: 2.2315, recall: 0.7911, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.6538, scimark_benchmark: 1260.1387, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.6978, kappa: 0.6136, kb_relative_information_score: 1285.3959, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7079, predictive_accuracy: 0.7182, prior_entropy: 2.2315, recall: 0.7182, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.7621, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7301, kappa: 0.6414, kb_relative_information_score: 1286.443, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7334, predictive_accuracy: 0.7388, prior_entropy: 2.2315, recall: 0.7388, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.751, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.7855, kappa: 0.7127, kb_relative_information_score: 1357.8213, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.788, predictive_accuracy: 0.7911, prior_entropy: 2.2315, recall: 0.7911, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.6538, scimark_benchmark: 942.9708, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7194, kappa: 0.6233, kb_relative_information_score: 1248.7589, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7232, predictive_accuracy: 0.7234, prior_entropy: 2.2315, recall: 0.7234, relative_absolute_error: 0.4897, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.7849, scimark_benchmark: 1384.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.6798, kappa: 0.5668, kb_relative_information_score: 1196.0471, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.6796, predictive_accuracy: 0.6818, prior_entropy: 2.2315, recall: 0.6818, relative_absolute_error: 0.5361, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.811, scimark_benchmark: 1371.9645, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7301, kappa: 0.6414, kb_relative_information_score: 1286.443, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7334, predictive_accuracy: 0.7388, prior_entropy: 2.2315, recall: 0.7388, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.751, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.6978, kappa: 0.6136, kb_relative_information_score: 1285.3959, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7079, predictive_accuracy: 0.7182, prior_entropy: 2.2315, recall: 0.7182, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.7621, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7301, kappa: 0.6414, kb_relative_information_score: 1286.443, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7334, predictive_accuracy: 0.7388, prior_entropy: 2.2315, recall: 0.7388, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.751, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7301, kappa: 0.6414, kb_relative_information_score: 1286.443, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7334, predictive_accuracy: 0.7388, prior_entropy: 2.2315, recall: 0.7388, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.751, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7301, kappa: 0.6414, kb_relative_information_score: 1286.443, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7334, predictive_accuracy: 0.7388, prior_entropy: 2.2315, recall: 0.7388, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.751, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.6978, kappa: 0.6136, kb_relative_information_score: 1285.3959, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7079, predictive_accuracy: 0.7182, prior_entropy: 2.2315, recall: 0.7182, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.7621, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.6978, kappa: 0.6136, kb_relative_information_score: 1285.3959, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7079, predictive_accuracy: 0.7182, prior_entropy: 2.2315, recall: 0.7182, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.7621, scimark_benchmark: 1313.5052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.7855, kappa: 0.7127, kb_relative_information_score: 1357.8213, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.788, predictive_accuracy: 0.7911, prior_entropy: 2.2315, recall: 0.7911, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.6538, scimark_benchmark: 1345.7204, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.7398, kappa: 0.6459, kb_relative_information_score: 1403.6064, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7396, predictive_accuracy: 0.7421, prior_entropy: 2.2315, recall: 0.7421, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.802, scimark_benchmark: 1064.8317, usercpu_time_millis: 480, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.7541, kappa: 0.6634, kb_relative_information_score: 1433.214, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7676, predictive_accuracy: 0.7551, prior_entropy: 2.2315, recall: 0.7551, relative_absolute_error: 0.3512, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.7302, scimark_benchmark: 1318.6149, usercpu_time_millis: 440, usercpu_time_millis_testing: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.6965, kappa: 0.5882, kb_relative_information_score: 1208.5148, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.6964, predictive_accuracy: 0.6991, prior_entropy: 2.2315, recall: 0.6991, relative_absolute_error: 0.488, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.8518, scimark_benchmark: 1340.1351, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.7307, kappa: 0.6387, kb_relative_information_score: 1276.969, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7348, predictive_accuracy: 0.7364, prior_entropy: 2.2315, recall: 0.7364, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.7495, scimark_benchmark: 1342.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.6798, kappa: 0.5668, kb_relative_information_score: 1196.0471, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.6796, predictive_accuracy: 0.6818, prior_entropy: 2.2315, recall: 0.6818, relative_absolute_error: 0.5361, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.811, scimark_benchmark: 1342.1678, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.7159, kappa: 0.6375, kb_relative_information_score: 1102.7877, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7308, predictive_accuracy: 0.7421, prior_entropy: 2.2315, recall: 0.7421, relative_absolute_error: 0.619, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.7298, scimark_benchmark: 854.5188, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.646, kappa: 0.5191, kb_relative_information_score: 1153.7862, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.6475, predictive_accuracy: 0.6449, prior_entropy: 2.2315, recall: 0.6449, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.9818, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.7121, kappa: 0.6359, kb_relative_information_score: 1093.302, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.742, predictive_accuracy: 0.7411, prior_entropy: 2.2315, recall: 0.7411, relative_absolute_error: 0.6267, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.7297, scimark_benchmark: 1327.5791, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7194, kappa: 0.6233, kb_relative_information_score: 1248.7589, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.2116, number_of_instances: 2140, precision: 0.7232, predictive_accuracy: 0.7234, prior_entropy: 2.2315, recall: 0.7234, relative_absolute_error: 0.4897, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.7849, scimark_benchmark: 1331.2332,

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