OpenML
Supervised Classification on postoperative-patient-data

Supervised Classification on postoperative-patient-data

Task 34 Supervised Classification postoperative-patient-data 705 runs submitted
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  • basic study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3596, f_measure: 0.5632, kappa: -0.0984, kb_relative_information_score: -5.7826, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4936, predictive_accuracy: 0.6556, prior_entropy: 1.0305, recall: 0.6556, relative_absolute_error: 1.0231, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4131, root_relative_squared_error: 1.1002, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4498, f_measure: 0.5455, kappa: -0.1504, kb_relative_information_score: -6.3627, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4856, predictive_accuracy: 0.6222, prior_entropy: 1.0305, recall: 0.6222, relative_absolute_error: 1.0087, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.425, root_relative_squared_error: 1.1319, scimark_benchmark: 901.4991, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4141, f_measure: 0.6037, kappa: 0.0122, kb_relative_information_score: -2.9753, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5957, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4001, root_relative_squared_error: 1.0657, scimark_benchmark: 936.9595, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4141, f_measure: 0.6037, kappa: 0.0122, kb_relative_information_score: -2.9753, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5957, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4001, root_relative_squared_error: 1.0657, scimark_benchmark: 928.8135, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, 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: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4529, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -9.2497, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4241, root_relative_squared_error: 1.1296, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4422, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -25.5129, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.1855, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4092, root_relative_squared_error: 1.0897, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3578, f_measure: 0.5911, kb_relative_information_score: -1.6717, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3844, root_relative_squared_error: 1.0237, scimark_benchmark: 763.3895, usercpu_time_millis: 650, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3714, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -2.4258, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3859, root_relative_squared_error: 1.0277, scimark_benchmark: 944.235, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3873, f_measure: 0.5911, kb_relative_information_score: -1.6493, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3838, root_relative_squared_error: 1.0221, scimark_benchmark: 903.2737, usercpu_time_millis: 230, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3643, f_measure: 0.5911, kb_relative_information_score: -2.8552, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.0074, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.387, root_relative_squared_error: 1.0306, scimark_benchmark: 930.5033, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4529, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -1.0846, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3825, root_relative_squared_error: 1.0187, 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: 0.3992, f_measure: 0.6259, kappa: 0.064, kb_relative_information_score: -5.3477, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.646, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.017, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4042, root_relative_squared_error: 1.0765, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4601, f_measure: 0.5845, kappa: -0.0511, kb_relative_information_score: -4.7533, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5511, predictive_accuracy: 0.6444, prior_entropy: 1.0305, recall: 0.6444, relative_absolute_error: 1.0079, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.1302, scimark_benchmark: 608.4057, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4133, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -0.3665, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3907, root_relative_squared_error: 1.0404, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3596, f_measure: 0.5632, kappa: -0.0984, kb_relative_information_score: -5.7826, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4936, predictive_accuracy: 0.6556, prior_entropy: 1.0305, recall: 0.6556, relative_absolute_error: 1.0231, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4131, root_relative_squared_error: 1.1002, scimark_benchmark: 933.3455,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4266, f_measure: 0.5911, kb_relative_information_score: -0.7095, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.2871, number_of_instances: 90, 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: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4354, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -22.4384, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.1599, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4109, root_relative_squared_error: 1.0942, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4518, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -5.5623, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.04, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3843, root_relative_squared_error: 1.0235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3775, f_measure: 0.5745, kappa: -0.061, kb_relative_information_score: -2.5745, mean_absolute_error: 0.2849, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4986, predictive_accuracy: 0.6778, prior_entropy: 1.0305, recall: 0.6778, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3994, root_relative_squared_error: 1.0637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.5911, kb_relative_information_score: 2.7215, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.9651, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3757, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3757, f_measure: 0.5911, kb_relative_information_score: -1.0316, mean_absolute_error: 0.2843, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3874, root_relative_squared_error: 1.0316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4368, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -2.4626, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.0137, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3824, root_relative_squared_error: 1.0185,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3596, f_measure: 0.5632, kappa: -0.0984, kb_relative_information_score: -5.7826, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4936, predictive_accuracy: 0.6556, prior_entropy: 1.0305, recall: 0.6556, relative_absolute_error: 1.0231, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4131, root_relative_squared_error: 1.1002, scimark_benchmark: 938.838,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3674, f_measure: 0.5911, kb_relative_information_score: -5.0809, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.0255, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3931, root_relative_squared_error: 1.047, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4414, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: 0.515, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.009, scimark_benchmark: 926.4745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4412, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: 0.5174, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3787, root_relative_squared_error: 1.0086, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4659, f_measure: 0.5854, kappa: -0.0427, kb_relative_information_score: -41.4906, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.557, predictive_accuracy: 0.6444, prior_entropy: 1.0305, recall: 0.6444, relative_absolute_error: 1.3587, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4283, root_relative_squared_error: 1.1407, scimark_benchmark: 943.4741, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3596, f_measure: 0.5632, kappa: -0.0984, kb_relative_information_score: -5.7826, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4936, predictive_accuracy: 0.6556, prior_entropy: 1.0305, recall: 0.6556, relative_absolute_error: 1.0231, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4131, root_relative_squared_error: 1.1002, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3992, f_measure: 0.6259, kappa: 0.064, kb_relative_information_score: -5.3477, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.646, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.017, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4042, root_relative_squared_error: 1.0765, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4355, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -22.4375, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.1598, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4107, root_relative_squared_error: 1.0938, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4544, f_measure: 0.5801, kappa: -0.0319, kb_relative_information_score: -14.782, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.501, predictive_accuracy: 0.6889, prior_entropy: 1.0305, recall: 0.6889, relative_absolute_error: 1.0899, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4161, root_relative_squared_error: 1.1082, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4601, f_measure: 0.5845, kappa: -0.0511, kb_relative_information_score: -4.7533, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5511, predictive_accuracy: 0.6444, prior_entropy: 1.0305, recall: 0.6444, relative_absolute_error: 1.0079, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.1302, scimark_benchmark: 922.9595, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4414, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -0.2001, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3851, root_relative_squared_error: 1.0255, scimark_benchmark: 1347.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3021, f_measure: 0.5911, kb_relative_information_score: 1.2359, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3771, root_relative_squared_error: 1.0043, scimark_benchmark: 1347.5461, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3232, f_measure: 0.5911, kb_relative_information_score: 1.2633, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3769, root_relative_squared_error: 1.0037, scimark_benchmark: 1311.9814, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4414, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: 0.515, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.009, scimark_benchmark: 1349.1028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4414, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: 0.515, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.009, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4498, f_measure: 0.5455, kappa: -0.1504, kb_relative_information_score: -6.3627, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4856, predictive_accuracy: 0.6222, prior_entropy: 1.0305, recall: 0.6222, relative_absolute_error: 1.0087, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.425, root_relative_squared_error: 1.1319, scimark_benchmark: 1318.5627, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4601, f_measure: 0.5845, kappa: -0.0511, kb_relative_information_score: -4.7533, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5511, predictive_accuracy: 0.6444, prior_entropy: 1.0305, recall: 0.6444, relative_absolute_error: 1.0079, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.1302, scimark_benchmark: 929.0363, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4414, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: 0.515, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.009, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3596, f_measure: 0.5632, kappa: -0.0984, kb_relative_information_score: -5.7826, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4936, predictive_accuracy: 0.6556, prior_entropy: 1.0305, recall: 0.6556, relative_absolute_error: 1.0231, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4131, root_relative_squared_error: 1.1002, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3992, f_measure: 0.6259, kappa: 0.064, kb_relative_information_score: -5.3477, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.646, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 1.017, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4042, root_relative_squared_error: 1.0765, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3759, f_measure: 0.5801, kappa: -0.0413, kb_relative_information_score: -1.6614, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.501, predictive_accuracy: 0.6889, prior_entropy: 1.0305, recall: 0.6889, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3982, root_relative_squared_error: 1.0604, scimark_benchmark: 1313.5052, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4153, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -0.4035, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3902, root_relative_squared_error: 1.0392, scimark_benchmark: 1281.7531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3388, f_measure: 0.5911, kb_relative_information_score: 1.1907, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3769, root_relative_squared_error: 1.0037, scimark_benchmark: 1413.089, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4266, f_measure: 0.5911, kb_relative_information_score: 1.3852, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3762, root_relative_squared_error: 1.0019, scimark_benchmark: 1347.388, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4414, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: 0.515, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.009, scimark_benchmark: 904.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3596, f_measure: 0.5632, kappa: -0.0984, kb_relative_information_score: -5.7826, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4936, predictive_accuracy: 0.6556, prior_entropy: 1.0305, recall: 0.6556, relative_absolute_error: 1.0231, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4131, root_relative_squared_error: 1.1002, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4414, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: 0.515, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.009, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4369, build_cpu_time: 0.009, build_memory: 68933369.6, f_measure: 0.5395, kappa: -0.1667, kb_relative_information_score: -7.3101, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4829, predictive_accuracy: 0.6111, prior_entropy: 1.0305, recall: 0.6111, relative_absolute_error: 1.019, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4286, root_relative_squared_error: 1.1416, scimark_benchmark: 946.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3976, build_cpu_time: 0.4211, build_memory: 668180064, f_measure: 0.5856, kappa: -0.021, kb_relative_information_score: -12.4677, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5034, predictive_accuracy: 0.7, prior_entropy: 1.0305, recall: 0.7, relative_absolute_error: 1.087, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.3904, root_relative_squared_error: 1.0397, scimark_benchmark: 926.9748,

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