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Supervised Classification on meta_ensembles.arff

Supervised Classification on meta_ensembles.arff

Task 2354 Supervised Classification meta_ensembles.arff 305 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.6679, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3907, root_relative_squared_error: 1.0055, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.4759, kappa: 0.1351, kb_relative_information_score: 3.8564, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.4556, predictive_accuracy: 0.5, prior_entropy: 1.5899, recall: 0.5, relative_absolute_error: 0.8254, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4344, root_relative_squared_error: 1.1179, scimark_benchmark: 851.2074, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 5.3016, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4564, root_relative_squared_error: 1.1746, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.5729, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3904, root_relative_squared_error: 1.0046, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.5729, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3904, root_relative_squared_error: 1.0046, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.4099, kappa: -0.0518, kb_relative_information_score: 1.9752, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3297, predictive_accuracy: 0.5417, prior_entropy: 1.5899, recall: 0.5417, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.9844, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.5729, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3904, root_relative_squared_error: 1.0046, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.4596, kappa: 0.102, kb_relative_information_score: 6.7632, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3991, predictive_accuracy: 0.5417, prior_entropy: 1.5899, recall: 0.5417, relative_absolute_error: 0.824, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.9635, 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: 0.4298, kb_relative_information_score: 5.3016, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4564, root_relative_squared_error: 1.1746, scimark_benchmark: 974.2014, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.4259, kappa: 0.0341, kb_relative_information_score: 2.9763, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3979, predictive_accuracy: 0.4583, prior_entropy: 1.5899, recall: 0.4583, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4331, root_relative_squared_error: 1.1147, scimark_benchmark: 947.1781, usercpu_time_millis: 1040, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.4596, kappa: 0.102, kb_relative_information_score: 6.7632, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3991, predictive_accuracy: 0.5417, prior_entropy: 1.5899, recall: 0.5417, relative_absolute_error: 0.824, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.9635, scimark_benchmark: 943.1009, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.6679, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3907, root_relative_squared_error: 1.0055, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 5.3016, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4564, root_relative_squared_error: 1.1746, scimark_benchmark: 936.2574, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.5729, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3904, root_relative_squared_error: 1.0046, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.4099, kappa: -0.0518, kb_relative_information_score: 1.9752, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3297, predictive_accuracy: 0.5417, prior_entropy: 1.5899, recall: 0.5417, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.9844, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.5729, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3904, root_relative_squared_error: 1.0046, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.4259, kappa: 0.0341, kb_relative_information_score: 2.9763, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3979, predictive_accuracy: 0.4583, prior_entropy: 1.5899, recall: 0.4583, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4331, root_relative_squared_error: 1.1147, scimark_benchmark: 945.6228, usercpu_time_millis: 1020, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.4596, kappa: 0.102, kb_relative_information_score: 6.7632, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3991, predictive_accuracy: 0.5417, prior_entropy: 1.5899, recall: 0.5417, relative_absolute_error: 0.824, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.9635, scimark_benchmark: 917.5013, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.5295, kappa: 0.2105, kb_relative_information_score: 8.4297, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.5046, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.9091, scimark_benchmark: 933.3455, usercpu_time_millis: 2870, usercpu_time_millis_testing: 980, usercpu_time_millis_training: 1890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.5295, kappa: 0.2105, kb_relative_information_score: 9.0832, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.5046, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.7538, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.8833, scimark_benchmark: 943.6618, usercpu_time_millis: 1460, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.5295, kappa: 0.2105, kb_relative_information_score: 8.8707, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.5046, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.9091, scimark_benchmark: 896.2424, usercpu_time_millis: 800, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.6109, kappa: 0.3663, kb_relative_information_score: 8.4725, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.5741, predictive_accuracy: 0.6667, prior_entropy: 1.5899, recall: 0.6667, relative_absolute_error: 0.7645, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.9097, scimark_benchmark: 939.7883, usercpu_time_millis: 310, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.5692, kappa: 0.2871, kb_relative_information_score: 10.2806, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.5324, predictive_accuracy: 0.625, prior_entropy: 1.5899, recall: 0.625, relative_absolute_error: 0.703, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.352, root_relative_squared_error: 0.9058, scimark_benchmark: 938.3115, usercpu_time_millis: 250, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.342, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3897, root_relative_squared_error: 1.0029, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5381, f_measure: 0.4298, kb_relative_information_score: -1.1782, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 1.1572, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0412, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5381, f_measure: 0.4298, kb_relative_information_score: -1.1782, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 1.1572, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0412, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5381, f_measure: 0.4298, kb_relative_information_score: -1.1782, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 1.1572, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0412, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5381, f_measure: 0.4298, kb_relative_information_score: -1.1782, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 1.1572, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0412, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5381, f_measure: 0.4298, kb_relative_information_score: -1.1782, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 1.1572, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0412, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 5.3016, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4564, root_relative_squared_error: 1.1746, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.5429, kappa: 0.2577, kb_relative_information_score: 5.8935, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.4825, predictive_accuracy: 0.625, prior_entropy: 1.5899, recall: 0.625, relative_absolute_error: 0.78, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.9938, scimark_benchmark: 926.5859, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.5619, kappa: 0.2615, kb_relative_information_score: 7.1675, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.5486, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.9538, scimark_benchmark: 936.7184, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6335, f_measure: 0.4298, kb_relative_information_score: 3.0878, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.8641, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3893, root_relative_squared_error: 1.002, scimark_benchmark: 931.7994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.6679, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3907, root_relative_squared_error: 1.0055, scimark_benchmark: 926.4745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.4759, kappa: 0.1351, kb_relative_information_score: 3.8564, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.4556, predictive_accuracy: 0.5, prior_entropy: 1.5899, recall: 0.5, relative_absolute_error: 0.8254, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4344, root_relative_squared_error: 1.1179, scimark_benchmark: 875.9128, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 5.3016, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4564, root_relative_squared_error: 1.1746, scimark_benchmark: 946.6409, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.5729, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3904, root_relative_squared_error: 1.0046, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.5729, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3904, root_relative_squared_error: 1.0046, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.5729, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3904, root_relative_squared_error: 1.0046, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.5729, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3904, root_relative_squared_error: 1.0046, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.5729, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3904, root_relative_squared_error: 1.0046, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.5729, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3904, root_relative_squared_error: 1.0046, scimark_benchmark: 933.1165,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs