OpenML
Supervised Classification on credit-approval

Supervised Classification on credit-approval

Task 259 Supervised Classification credit-approval 356 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8634, kappa: 0.7263, kb_relative_information_score: 142.315, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8634, predictive_accuracy: 0.8634, prior_entropy: 0.9913, recall: 0.8634, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6493, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8723, kappa: 0.7444, kb_relative_information_score: 134.8076, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8726, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.4497, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6254, scimark_benchmark: 972.587, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8767, kappa: 0.7529, kb_relative_information_score: 154.6991, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8767, predictive_accuracy: 0.8767, prior_entropy: 0.9913, recall: 0.8767, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.5918, scimark_benchmark: 851.2074, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.391, kappa: 0.0036, kb_relative_information_score: 7.7142, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.5108, predictive_accuracy: 0.5198, prior_entropy: 0.9913, recall: 0.5198, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.6929, root_relative_squared_error: 1.3836, scimark_benchmark: 916.0735, usercpu_time_millis: 240, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.391, kappa: 0.0036, kb_relative_information_score: 7.7142, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.5108, predictive_accuracy: 0.5198, prior_entropy: 0.9913, recall: 0.5198, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.6929, root_relative_squared_error: 1.3836, scimark_benchmark: 941.6675, usercpu_time_millis: 420, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8591, kappa: 0.7178, kb_relative_information_score: 140.7628, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8592, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.4132, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6484, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8808, kappa: 0.7612, kb_relative_information_score: 127.8975, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8822, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6344, scimark_benchmark: 931.771, usercpu_time_millis: 170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.391, kappa: 0.0036, kb_relative_information_score: 7.7142, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.5108, predictive_accuracy: 0.5198, prior_entropy: 0.9913, recall: 0.5198, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.6929, root_relative_squared_error: 1.3836, scimark_benchmark: 937.5117, usercpu_time_millis: 340, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8721, kappa: 0.7436, kb_relative_information_score: 162.4333, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8727, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6217, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8718, kappa: 0.7433, kb_relative_information_score: 156.7009, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8742, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.3291, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.6586, scimark_benchmark: 943.1009, usercpu_time_millis: 690, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8808, kappa: 0.7612, kb_relative_information_score: 127.8975, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8822, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6344, scimark_benchmark: 943.1009, usercpu_time_millis: 260, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8634, kappa: 0.7263, kb_relative_information_score: 142.315, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8634, predictive_accuracy: 0.8634, prior_entropy: 0.9913, recall: 0.8634, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6493, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8723, kappa: 0.7444, kb_relative_information_score: 134.8076, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8726, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.4497, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6254, scimark_benchmark: 935.2002, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8767, kappa: 0.7529, kb_relative_information_score: 154.6991, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8767, predictive_accuracy: 0.8767, prior_entropy: 0.9913, recall: 0.8767, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.5918, scimark_benchmark: 936.2574, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.391, kappa: 0.0036, kb_relative_information_score: 7.7142, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.5108, predictive_accuracy: 0.5198, prior_entropy: 0.9913, recall: 0.5198, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.6929, root_relative_squared_error: 1.3836, scimark_benchmark: 859.5223, usercpu_time_millis: 220, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8721, kappa: 0.7436, kb_relative_information_score: 162.4333, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8727, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6217, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8591, kappa: 0.7178, kb_relative_information_score: 140.7628, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8592, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.4132, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6484, scimark_benchmark: 933.3455, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8631, kappa: 0.7258, kb_relative_information_score: 145.3733, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8645, predictive_accuracy: 0.8634, prior_entropy: 0.9913, recall: 0.8634, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6456, scimark_benchmark: 730.6551, usercpu_time_millis: 55830, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 55700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8808, kappa: 0.7612, kb_relative_information_score: 127.8975, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8822, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6344, scimark_benchmark: 936.9595, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8767, kappa: 0.7534, kb_relative_information_score: 148.5018, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.878, predictive_accuracy: 0.8767, prior_entropy: 0.9913, recall: 0.8767, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.5825, scimark_benchmark: 938.4601, usercpu_time_millis: 10180, usercpu_time_millis_testing: 3780, usercpu_time_millis_training: 6400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.8811, kappa: 0.762, kb_relative_information_score: 149.7344, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8814, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.5778, scimark_benchmark: 934.695, usercpu_time_millis: 4090, usercpu_time_millis_testing: 1110, usercpu_time_millis_training: 2980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8635, kappa: 0.7267, kb_relative_information_score: 149.0479, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8638, predictive_accuracy: 0.8634, prior_entropy: 0.9913, recall: 0.8634, relative_absolute_error: 0.3812, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.5833, scimark_benchmark: 917.2109, usercpu_time_millis: 1880, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 1520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.8899, kappa: 0.7796, kb_relative_information_score: 150.0204, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8903, predictive_accuracy: 0.8899, prior_entropy: 0.9913, recall: 0.8899, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.5836, scimark_benchmark: 911.2316, usercpu_time_millis: 1130, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8854, kappa: 0.7704, kb_relative_information_score: 150.3865, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8855, predictive_accuracy: 0.8855, prior_entropy: 0.9913, recall: 0.8855, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.6001, scimark_benchmark: 889.4922, usercpu_time_millis: 520, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8808, kappa: 0.763, kb_relative_information_score: 153.261, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8884, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.5863, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8808, kappa: 0.763, kb_relative_information_score: 153.261, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8884, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.5863, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8808, kappa: 0.763, kb_relative_information_score: 153.261, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8884, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.5863, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8722, kappa: 0.7449, kb_relative_information_score: 171.6327, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.875, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.6554, scimark_benchmark: 940.0055, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.391, kappa: 0.0036, kb_relative_information_score: 7.7142, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.5108, predictive_accuracy: 0.5198, prior_entropy: 0.9913, recall: 0.5198, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.6929, root_relative_squared_error: 1.3836, scimark_benchmark: 1303.5632, usercpu_time_millis: 420, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8721, kappa: 0.7436, kb_relative_information_score: 162.4333, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8727, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6217, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8721, kappa: 0.7436, kb_relative_information_score: 162.4333, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8727, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6217, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.391, kappa: 0.0036, kb_relative_information_score: 7.7142, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.5108, predictive_accuracy: 0.5198, prior_entropy: 0.9913, recall: 0.5198, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.6929, root_relative_squared_error: 1.3836, scimark_benchmark: 1303.3869, usercpu_time_millis: 380, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.391, kappa: 0.0036, kb_relative_information_score: 7.7142, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.5108, predictive_accuracy: 0.5198, prior_entropy: 0.9913, recall: 0.5198, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.6929, root_relative_squared_error: 1.3836, scimark_benchmark: 1338.5214, usercpu_time_millis: 390, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8721, kappa: 0.7436, kb_relative_information_score: 162.4333, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8727, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6217, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 1309.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8591, kappa: 0.7178, kb_relative_information_score: 140.7628, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8592, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.4132, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6484, scimark_benchmark: 1350.2591, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8634, kappa: 0.7263, kb_relative_information_score: 142.315, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8634, predictive_accuracy: 0.8634, prior_entropy: 0.9913, recall: 0.8634, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6493, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.391, kappa: 0.0036, kb_relative_information_score: 7.7142, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.5108, predictive_accuracy: 0.5198, prior_entropy: 0.9913, recall: 0.5198, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.6929, root_relative_squared_error: 1.3836, scimark_benchmark: 1347.1763, usercpu_time_millis: 400, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8721, kappa: 0.7436, kb_relative_information_score: 162.4333, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8727, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6217, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8591, kappa: 0.7178, kb_relative_information_score: 140.7628, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8592, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.4132, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6484, scimark_benchmark: 1337.9552, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8631, kappa: 0.7258, kb_relative_information_score: 145.3733, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8645, predictive_accuracy: 0.8634, prior_entropy: 0.9913, recall: 0.8634, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6456, scimark_benchmark: 1393.8432, usercpu_time_millis: 18310, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 18160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.391, kappa: 0.0036, kb_relative_information_score: 7.7142, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.5108, predictive_accuracy: 0.5198, prior_entropy: 0.9913, recall: 0.5198, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.6929, root_relative_squared_error: 1.3836, scimark_benchmark: 1350.7721, usercpu_time_millis: 380, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8721, kappa: 0.7436, kb_relative_information_score: 162.4333, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8727, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6217, scimark_benchmark: 1327.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 1332.7986, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8591, kappa: 0.7178, kb_relative_information_score: 140.7628, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8592, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.4132, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6484, scimark_benchmark: 1317.5857, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 1317.6232, usercpu_time_millis: 10, usercpu_time_millis_testing: 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