Task
Supervised Classification on postoperative-patient-data

Supervised Classification on postoperative-patient-data

Task 1798 Supervised Classification postoperative-patient-data 299 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4755, f_measure: 0.5873, kappa: -0.039, kb_relative_information_score: -13.2295, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5481, predictive_accuracy: 0.6711, prior_entropy: 1.0305, recall: 0.6711, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.411, root_relative_squared_error: 1.0945, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3633, f_measure: 0.5063, kappa: -0.1848, kb_relative_information_score: -91.5528, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.4996, predictive_accuracy: 0.5133, prior_entropy: 1.0305, recall: 0.5133, relative_absolute_error: 1.1498, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.3332, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3358, f_measure: 0.5565, kappa: -0.1166, kb_relative_information_score: -61.6116, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5148, predictive_accuracy: 0.6156, prior_entropy: 1.0305, recall: 0.6156, relative_absolute_error: 1.0805, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4418, root_relative_squared_error: 1.1766, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3122, f_measure: 0.5445, kappa: -0.1451, kb_relative_information_score: -67.7917, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5104, predictive_accuracy: 0.5889, prior_entropy: 1.0305, recall: 0.5889, relative_absolute_error: 1.0929, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.453, root_relative_squared_error: 1.2066, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3122, f_measure: 0.5445, kappa: -0.1451, kb_relative_information_score: -67.7917, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5104, predictive_accuracy: 0.5889, prior_entropy: 1.0305, recall: 0.5889, relative_absolute_error: 1.0929, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.453, root_relative_squared_error: 1.2066, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3451, f_measure: 0.5695, kappa: -0.0808, kb_relative_information_score: -42.4659, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5067, predictive_accuracy: 0.66, prior_entropy: 1.0305, recall: 0.66, relative_absolute_error: 1.0471, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.411, root_relative_squared_error: 1.0945, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3122, f_measure: 0.5445, kappa: -0.1451, kb_relative_information_score: -67.7917, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5104, predictive_accuracy: 0.5889, prior_entropy: 1.0305, recall: 0.5889, relative_absolute_error: 1.0929, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.453, root_relative_squared_error: 1.2066, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3499, f_measure: 0.5297, kappa: -0.1744, kb_relative_information_score: -80.5838, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5011, predictive_accuracy: 0.5644, prior_entropy: 1.0305, recall: 0.5644, relative_absolute_error: 1.1175, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4578, root_relative_squared_error: 1.2191, scimark_benchmark: 931.771, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 107.4202, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 450, 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: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3358, f_measure: 0.5565, kappa: -0.1166, kb_relative_information_score: -61.6116, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5148, predictive_accuracy: 0.6156, prior_entropy: 1.0305, recall: 0.6156, relative_absolute_error: 1.0805, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4418, root_relative_squared_error: 1.1766, scimark_benchmark: 974.2014,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3985, f_measure: 0.5554, kappa: -0.1142, kb_relative_information_score: -48.1911, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5233, predictive_accuracy: 0.5978, prior_entropy: 1.0305, recall: 0.5978, relative_absolute_error: 1.048, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4471, root_relative_squared_error: 1.1907, scimark_benchmark: 938.5498, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3499, f_measure: 0.5297, kappa: -0.1744, kb_relative_information_score: -80.5838, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5011, predictive_accuracy: 0.5644, prior_entropy: 1.0305, recall: 0.5644, relative_absolute_error: 1.1175, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4578, root_relative_squared_error: 1.2191, scimark_benchmark: 943.1009, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4755, f_measure: 0.5873, kappa: -0.039, kb_relative_information_score: -13.2295, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5481, predictive_accuracy: 0.6711, prior_entropy: 1.0305, recall: 0.6711, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.411, root_relative_squared_error: 1.0945, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3633, f_measure: 0.5063, kappa: -0.1848, kb_relative_information_score: -91.5528, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.4996, predictive_accuracy: 0.5133, prior_entropy: 1.0305, recall: 0.5133, relative_absolute_error: 1.1498, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.3332, scimark_benchmark: 936.2574, 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: 107.4202, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 450, 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: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3451, f_measure: 0.5695, kappa: -0.0808, kb_relative_information_score: -42.4659, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5067, predictive_accuracy: 0.66, prior_entropy: 1.0305, recall: 0.66, relative_absolute_error: 1.0471, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.411, root_relative_squared_error: 1.0945, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3499, f_measure: 0.5297, kappa: -0.1744, kb_relative_information_score: -80.5838, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5011, predictive_accuracy: 0.5644, prior_entropy: 1.0305, recall: 0.5644, relative_absolute_error: 1.1175, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4578, root_relative_squared_error: 1.2191, scimark_benchmark: 901.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3487, f_measure: 0.5664, kappa: -0.0959, kb_relative_information_score: -43.788, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5152, predictive_accuracy: 0.6444, prior_entropy: 1.0305, recall: 0.6444, relative_absolute_error: 1.0532, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4121, root_relative_squared_error: 1.0975, scimark_benchmark: 936.2727, usercpu_time_millis: 490, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3478, f_measure: 0.5622, kappa: -0.1061, kb_relative_information_score: -43.2074, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.507, predictive_accuracy: 0.6422, prior_entropy: 1.0305, recall: 0.6422, relative_absolute_error: 1.0516, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4127, root_relative_squared_error: 1.099, scimark_benchmark: 935.2002, usercpu_time_millis: 400, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 190,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3691, f_measure: 0.5667, kappa: -0.0931, kb_relative_information_score: -48.7105, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5193, predictive_accuracy: 0.6378, prior_entropy: 1.0305, recall: 0.6378, relative_absolute_error: 1.0594, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4137, root_relative_squared_error: 1.1017, scimark_benchmark: 894.7131, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.399, f_measure: 0.585, kappa: -0.0352, kb_relative_information_score: -21.536, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.545, predictive_accuracy: 0.6778, prior_entropy: 1.0305, recall: 0.6778, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.1609, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.394, f_measure: 0.5863, kappa: -0.0314, kb_relative_information_score: 10.8365, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5481, predictive_accuracy: 0.68, prior_entropy: 1.0305, recall: 0.68, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1744, scimark_benchmark: 938.3115,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3985, f_measure: 0.5554, kappa: -0.1142, kb_relative_information_score: -48.1911, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5233, predictive_accuracy: 0.5978, prior_entropy: 1.0305, recall: 0.5978, relative_absolute_error: 1.048, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4471, root_relative_squared_error: 1.1907, scimark_benchmark: 1317.7919, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 107.4202, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 450, 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: 1371.4836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3015, f_measure: 0.5314, kappa: -0.1755, kb_relative_information_score: -74.9741, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.4975, predictive_accuracy: 0.5733, prior_entropy: 1.0305, recall: 0.5733, relative_absolute_error: 1.1073, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4627, root_relative_squared_error: 1.2324, scimark_benchmark: 1316.2665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4755, f_measure: 0.5873, kappa: -0.039, kb_relative_information_score: -13.2295, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5481, predictive_accuracy: 0.6711, prior_entropy: 1.0305, recall: 0.6711, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.411, root_relative_squared_error: 1.0945, scimark_benchmark: 1397.3209, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 107.4202, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 450, 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: 1350.007, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3122, f_measure: 0.5445, kappa: -0.1451, kb_relative_information_score: -67.7917, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5104, predictive_accuracy: 0.5889, prior_entropy: 1.0305, recall: 0.5889, relative_absolute_error: 1.0929, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.453, root_relative_squared_error: 1.2066, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3122, f_measure: 0.5445, kappa: -0.1451, kb_relative_information_score: -67.7917, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5104, predictive_accuracy: 0.5889, prior_entropy: 1.0305, recall: 0.5889, relative_absolute_error: 1.0929, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.453, root_relative_squared_error: 1.2066, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3985, f_measure: 0.5554, kappa: -0.1142, kb_relative_information_score: -48.1911, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5233, predictive_accuracy: 0.5978, prior_entropy: 1.0305, recall: 0.5978, relative_absolute_error: 1.048, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4471, root_relative_squared_error: 1.1907, scimark_benchmark: 940.3347, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3499, f_measure: 0.5297, kappa: -0.1744, kb_relative_information_score: -80.5838, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5011, predictive_accuracy: 0.5644, prior_entropy: 1.0305, recall: 0.5644, relative_absolute_error: 1.1175, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4578, root_relative_squared_error: 1.2191, scimark_benchmark: 1326.8946, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3122, f_measure: 0.5445, kappa: -0.1451, kb_relative_information_score: -67.7917, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5104, predictive_accuracy: 0.5889, prior_entropy: 1.0305, recall: 0.5889, relative_absolute_error: 1.0929, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.453, root_relative_squared_error: 1.2066, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 107.4202, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 450, 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: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3358, f_measure: 0.5565, kappa: -0.1166, kb_relative_information_score: -61.6116, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5148, predictive_accuracy: 0.6156, prior_entropy: 1.0305, recall: 0.6156, relative_absolute_error: 1.0805, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4418, root_relative_squared_error: 1.1766, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4755, f_measure: 0.5873, kappa: -0.039, kb_relative_information_score: -13.2295, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5481, predictive_accuracy: 0.6711, prior_entropy: 1.0305, recall: 0.6711, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.411, root_relative_squared_error: 1.0945, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3358, f_measure: 0.5565, kappa: -0.1166, kb_relative_information_score: -61.6116, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5148, predictive_accuracy: 0.6156, prior_entropy: 1.0305, recall: 0.6156, relative_absolute_error: 1.0805, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4418, root_relative_squared_error: 1.1766, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3122, f_measure: 0.5445, kappa: -0.1451, kb_relative_information_score: -67.7917, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5104, predictive_accuracy: 0.5889, prior_entropy: 1.0305, recall: 0.5889, relative_absolute_error: 1.0929, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.453, root_relative_squared_error: 1.2066, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3122, f_measure: 0.5445, kappa: -0.1451, kb_relative_information_score: -67.7917, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5104, predictive_accuracy: 0.5889, prior_entropy: 1.0305, recall: 0.5889, relative_absolute_error: 1.0929, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.453, root_relative_squared_error: 1.2066, scimark_benchmark: 1312.0581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3451, f_measure: 0.5695, kappa: -0.0808, kb_relative_information_score: -42.4659, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5067, predictive_accuracy: 0.66, prior_entropy: 1.0305, recall: 0.66, relative_absolute_error: 1.0471, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.411, root_relative_squared_error: 1.0945, scimark_benchmark: 1312.0581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4755, f_measure: 0.5873, kappa: -0.039, kb_relative_information_score: -13.2295, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5481, predictive_accuracy: 0.6711, prior_entropy: 1.0305, recall: 0.6711, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.411, root_relative_squared_error: 1.0945, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4755, f_measure: 0.5873, kappa: -0.039, kb_relative_information_score: -13.2295, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.2871, number_of_instances: 450, precision: 0.5481, predictive_accuracy: 0.6711, prior_entropy: 1.0305, recall: 0.6711, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.411, root_relative_squared_error: 1.0945, scimark_benchmark: 1151.6869,

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