OpenML
Supervised Classification on postoperative-patient-data

Supervised Classification on postoperative-patient-data

Task 1914 Supervised Classification postoperative-patient-data 175 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.5867, kappa: -0.0169, kb_relative_information_score: 5.2324, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5038, predictive_accuracy: 0.7022, prior_entropy: 1.0305, recall: 0.7022, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.01, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4598, f_measure: 0.5969, kappa: -0.0138, kb_relative_information_score: -40.833, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5685, predictive_accuracy: 0.6478, prior_entropy: 1.0305, recall: 0.6478, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4325, root_relative_squared_error: 1.1517, scimark_benchmark: 851.2074, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 214.8403, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688, scimark_benchmark: 916.0735, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3769, f_measure: 0.5686, kappa: -0.0863, kb_relative_information_score: -61.4721, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5094, predictive_accuracy: 0.6567, prior_entropy: 1.0305, recall: 0.6567, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4126, root_relative_squared_error: 1.0988, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3769, f_measure: 0.5686, kappa: -0.0863, kb_relative_information_score: -61.4721, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5094, predictive_accuracy: 0.6567, prior_entropy: 1.0305, recall: 0.6567, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4126, root_relative_squared_error: 1.0988, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3769, f_measure: 0.5686, kappa: -0.0863, kb_relative_information_score: -61.4721, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5094, predictive_accuracy: 0.6567, prior_entropy: 1.0305, recall: 0.6567, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4126, root_relative_squared_error: 1.0988, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4333, f_measure: 0.5889, kappa: -0.0085, kb_relative_information_score: 12.4512, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5048, predictive_accuracy: 0.7067, prior_entropy: 1.0305, recall: 0.7067, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3868, root_relative_squared_error: 1.03, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3769, f_measure: 0.5686, kappa: -0.0863, kb_relative_information_score: -61.4721, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5094, predictive_accuracy: 0.6567, prior_entropy: 1.0305, recall: 0.6567, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4126, root_relative_squared_error: 1.0988, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.445, f_measure: 0.5538, kappa: -0.125, kb_relative_information_score: -56.6711, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.4907, predictive_accuracy: 0.6356, prior_entropy: 1.0305, recall: 0.6356, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4218, root_relative_squared_error: 1.1233, scimark_benchmark: 931.771, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 214.8403, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688, scimark_benchmark: 937.5117, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4266, f_measure: 0.586, kappa: -0.0428, kb_relative_information_score: -24.6273, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.546, predictive_accuracy: 0.6689, prior_entropy: 1.0305, recall: 0.6689, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.41, root_relative_squared_error: 1.0918, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.445, f_measure: 0.5538, kappa: -0.125, kb_relative_information_score: -56.6711, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.4907, predictive_accuracy: 0.6356, prior_entropy: 1.0305, recall: 0.6356, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4218, root_relative_squared_error: 1.1233, scimark_benchmark: 943.1009, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.5867, kappa: -0.0169, kb_relative_information_score: 5.2324, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5038, predictive_accuracy: 0.7022, prior_entropy: 1.0305, recall: 0.7022, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.01, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4598, f_measure: 0.5969, kappa: -0.0138, kb_relative_information_score: -40.833, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5685, predictive_accuracy: 0.6478, prior_entropy: 1.0305, recall: 0.6478, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4325, root_relative_squared_error: 1.1517, scimark_benchmark: 936.2574, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 214.8403, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688, scimark_benchmark: 730.6551, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 214.8403, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3769, f_measure: 0.5686, kappa: -0.0863, kb_relative_information_score: -61.4721, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5094, predictive_accuracy: 0.6567, prior_entropy: 1.0305, recall: 0.6567, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4126, root_relative_squared_error: 1.0988, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3769, f_measure: 0.5686, kappa: -0.0863, kb_relative_information_score: -61.4721, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5094, predictive_accuracy: 0.6567, prior_entropy: 1.0305, recall: 0.6567, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4126, root_relative_squared_error: 1.0988, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3769, f_measure: 0.5686, kappa: -0.0863, kb_relative_information_score: -61.4721, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5094, predictive_accuracy: 0.6567, prior_entropy: 1.0305, recall: 0.6567, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4126, root_relative_squared_error: 1.0988, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3769, f_measure: 0.5686, kappa: -0.0863, kb_relative_information_score: -61.4721, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5094, predictive_accuracy: 0.6567, prior_entropy: 1.0305, recall: 0.6567, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4126, root_relative_squared_error: 1.0988, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4333, f_measure: 0.5889, kappa: -0.0085, kb_relative_information_score: 12.4512, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5048, predictive_accuracy: 0.7067, prior_entropy: 1.0305, recall: 0.7067, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3868, root_relative_squared_error: 1.03, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3769, f_measure: 0.5686, kappa: -0.0863, kb_relative_information_score: -61.4721, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5094, predictive_accuracy: 0.6567, prior_entropy: 1.0305, recall: 0.6567, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4126, root_relative_squared_error: 1.0988, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4266, f_measure: 0.586, kappa: -0.0428, kb_relative_information_score: -24.6273, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.546, predictive_accuracy: 0.6689, prior_entropy: 1.0305, recall: 0.6689, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.41, root_relative_squared_error: 1.0918, scimark_benchmark: 936.3213, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.445, f_measure: 0.5538, kappa: -0.125, kb_relative_information_score: -56.6711, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.4907, predictive_accuracy: 0.6356, prior_entropy: 1.0305, recall: 0.6356, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4218, root_relative_squared_error: 1.1233, scimark_benchmark: 1051.249, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3837, f_measure: 0.59, kappa: -0.0043, kb_relative_information_score: -16.5496, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5052, predictive_accuracy: 0.7089, prior_entropy: 1.0305, recall: 0.7089, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3847, root_relative_squared_error: 1.0246, scimark_benchmark: 920.2531, usercpu_time_millis: 560, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3823, f_measure: 0.5862, kappa: -0.0189, kb_relative_information_score: -18.9204, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5036, predictive_accuracy: 0.7011, prior_entropy: 1.0305, recall: 0.7011, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3855, root_relative_squared_error: 1.0267, scimark_benchmark: 940.1221, usercpu_time_millis: 220, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3829, f_measure: 0.5878, kappa: -0.0127, kb_relative_information_score: -17.0583, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5043, predictive_accuracy: 0.7044, prior_entropy: 1.0305, recall: 0.7044, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3853, root_relative_squared_error: 1.0261, scimark_benchmark: 921.2615, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3862, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -26.6088, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3874, root_relative_squared_error: 1.0316, scimark_benchmark: 896.2181, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4273, f_measure: 0.5876, kappa: -0.0176, kb_relative_information_score: -16.0795, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5259, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3847, root_relative_squared_error: 1.0245, scimark_benchmark: 936.7184, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4266, f_measure: 0.5911, kb_relative_information_score: -7.0949, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3763, root_relative_squared_error: 1.0022, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4329, f_measure: 0.5873, kappa: -0.0148, kb_relative_information_score: -250.2986, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5041, predictive_accuracy: 0.7033, prior_entropy: 1.0305, recall: 0.7033, relative_absolute_error: 1.1758, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4097, root_relative_squared_error: 1.0912, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4308, f_measure: 0.5878, kappa: -0.0127, kb_relative_information_score: -235.327, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5043, predictive_accuracy: 0.7044, prior_entropy: 1.0305, recall: 0.7044, relative_absolute_error: 1.1644, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4097, root_relative_squared_error: 1.0911, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4332, f_measure: 0.5878, kappa: -0.0127, kb_relative_information_score: -228.7017, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5043, predictive_accuracy: 0.7044, prior_entropy: 1.0305, recall: 0.7044, relative_absolute_error: 1.1568, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4098, root_relative_squared_error: 1.0913, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4519, f_measure: 0.5862, kappa: -0.0161, kb_relative_information_score: -143.8943, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5036, predictive_accuracy: 0.7011, prior_entropy: 1.0305, recall: 0.7011, relative_absolute_error: 1.0824, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4122, root_relative_squared_error: 1.0978, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.5851, kappa: -0.0202, kb_relative_information_score: -86.8096, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5031, predictive_accuracy: 0.6989, prior_entropy: 1.0305, recall: 0.6989, relative_absolute_error: 1.0171, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4164, root_relative_squared_error: 1.109, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 214.8403, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4232, f_measure: 0.5867, kappa: -0.0169, kb_relative_information_score: 5.6032, mean_absolute_error: 0.2843, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5038, predictive_accuracy: 0.7022, prior_entropy: 1.0305, recall: 0.7022, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3792, root_relative_squared_error: 1.01, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4587, f_measure: 0.5671, kappa: -0.0813, kb_relative_information_score: -415.3942, mean_absolute_error: 0.3898, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5311, predictive_accuracy: 0.6256, prior_entropy: 1.0305, recall: 0.6256, relative_absolute_error: 1.3579, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4284, root_relative_squared_error: 1.141, scimark_benchmark: 942.6192, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 214.8403, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688, scimark_benchmark: 1318.2298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.445, f_measure: 0.5538, kappa: -0.125, kb_relative_information_score: -56.6711, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.4907, predictive_accuracy: 0.6356, prior_entropy: 1.0305, recall: 0.6356, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4218, root_relative_squared_error: 1.1233, scimark_benchmark: 1260.1387, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3769, f_measure: 0.5686, kappa: -0.0863, kb_relative_information_score: -61.4721, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5094, predictive_accuracy: 0.6567, prior_entropy: 1.0305, recall: 0.6567, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4126, root_relative_squared_error: 1.0988, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3769, f_measure: 0.5686, kappa: -0.0863, kb_relative_information_score: -61.4721, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5094, predictive_accuracy: 0.6567, prior_entropy: 1.0305, recall: 0.6567, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4126, root_relative_squared_error: 1.0988, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.445, f_measure: 0.5538, kappa: -0.125, kb_relative_information_score: -56.6711, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.4907, predictive_accuracy: 0.6356, prior_entropy: 1.0305, recall: 0.6356, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4218, root_relative_squared_error: 1.1233, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.5867, kappa: -0.0169, kb_relative_information_score: 5.2324, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5038, predictive_accuracy: 0.7022, prior_entropy: 1.0305, recall: 0.7022, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.01, scimark_benchmark: 1384.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4076, f_measure: 0.587, kappa: -0.028, kb_relative_information_score: -61.1948, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.545, predictive_accuracy: 0.6711, prior_entropy: 1.0305, recall: 0.6711, relative_absolute_error: 1.0244, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4061, root_relative_squared_error: 1.0816, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3769, f_measure: 0.5686, kappa: -0.0863, kb_relative_information_score: -61.4721, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5094, predictive_accuracy: 0.6567, prior_entropy: 1.0305, recall: 0.6567, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4126, root_relative_squared_error: 1.0988, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3769, f_measure: 0.5686, kappa: -0.0863, kb_relative_information_score: -61.4721, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5094, predictive_accuracy: 0.6567, prior_entropy: 1.0305, recall: 0.6567, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4126, root_relative_squared_error: 1.0988, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4076, f_measure: 0.587, kappa: -0.028, kb_relative_information_score: -61.1948, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.545, predictive_accuracy: 0.6711, prior_entropy: 1.0305, recall: 0.6711, relative_absolute_error: 1.0244, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4061, root_relative_squared_error: 1.0816, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4333, f_measure: 0.5889, kappa: -0.0085, kb_relative_information_score: 12.4512, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5048, predictive_accuracy: 0.7067, prior_entropy: 1.0305, recall: 0.7067, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3868, root_relative_squared_error: 1.03, scimark_benchmark: 1312.0581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.445, f_measure: 0.5538, kappa: -0.125, kb_relative_information_score: -56.6711, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.4907, predictive_accuracy: 0.6356, prior_entropy: 1.0305, recall: 0.6356, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4218, root_relative_squared_error: 1.1233, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4598, f_measure: 0.5969, kappa: -0.0138, kb_relative_information_score: -40.833, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5685, predictive_accuracy: 0.6478, prior_entropy: 1.0305, recall: 0.6478, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4325, root_relative_squared_error: 1.1517, scimark_benchmark: 1337.446, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3887, f_measure: 0.5556, kappa: -0.1215, kb_relative_information_score: -67.5366, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.4902, predictive_accuracy: 0.6411, prior_entropy: 1.0305, recall: 0.6411, relative_absolute_error: 1.0169, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4336, root_relative_squared_error: 1.1546, scimark_benchmark: 942.9708, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4145, f_measure: 0.5902, kappa: -0.0149, kb_relative_information_score: -5.1891, mean_absolute_error: 0.2862, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5484, predictive_accuracy: 0.6978, prior_entropy: 1.0305, recall: 0.6978, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3911, root_relative_squared_error: 1.0415, scimark_benchmark: 1340.1351, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.5867, kappa: -0.0169, kb_relative_information_score: 5.2324, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5038, predictive_accuracy: 0.7022, prior_entropy: 1.0305, recall: 0.7022, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.01, scimark_benchmark: 1343.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3726, f_measure: 0.5911, kb_relative_information_score: 11.0774, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.2871, number_of_instances: 900, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3772, root_relative_squared_error: 1.0046, scimark_benchmark: 1309.4998, 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