OpenML
Supervised Classification on lowbwt

Supervised Classification on lowbwt

Task 4509 Supervised Classification lowbwt 212 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.8147, kappa: 0.6305, kb_relative_information_score: 1017.0176, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8294, predictive_accuracy: 0.8175, prior_entropy: 0.9984, recall: 0.8175, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7238, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8118, kappa: 0.6237, kb_relative_information_score: 912.0772, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.821, predictive_accuracy: 0.8138, prior_entropy: 0.9984, recall: 0.8138, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7303, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.8125, kappa: 0.6245, kb_relative_information_score: 1022.8559, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8175, predictive_accuracy: 0.8138, prior_entropy: 0.9984, recall: 0.8138, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7554, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.6277, kappa: 0.2585, kb_relative_information_score: 501.4921, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.6364, predictive_accuracy: 0.6339, prior_entropy: 0.9984, recall: 0.6339, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6051, root_relative_squared_error: 1.2116, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.6277, kappa: 0.2585, kb_relative_information_score: 501.4921, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.6364, predictive_accuracy: 0.6339, prior_entropy: 0.9984, recall: 0.6339, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6051, root_relative_squared_error: 1.2116, scimark_benchmark: 904.0772, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8186, kappa: 0.6369, kb_relative_information_score: 1044.5082, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8255, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7101, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.8246, kappa: 0.6529, kb_relative_information_score: 1045.0834, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8542, predictive_accuracy: 0.8291, prior_entropy: 0.9984, recall: 0.8291, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7097, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8118, kappa: 0.625, kb_relative_information_score: 992.2216, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8276, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.5015, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7176, scimark_benchmark: 941.6675, usercpu_time_millis: 1710, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.8113, kappa: 0.6228, kb_relative_information_score: 1005.3807, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8199, predictive_accuracy: 0.8132, prior_entropy: 0.9984, recall: 0.8132, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7535, scimark_benchmark: 944.1067, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.6277, kappa: 0.2585, kb_relative_information_score: 501.4921, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.6364, predictive_accuracy: 0.6339, prior_entropy: 0.9984, recall: 0.6339, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6051, root_relative_squared_error: 1.2116, scimark_benchmark: 941.3847, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.6277, kappa: 0.2585, kb_relative_information_score: 501.4921, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.6364, predictive_accuracy: 0.6339, prior_entropy: 0.9984, recall: 0.6339, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6051, root_relative_squared_error: 1.2116, scimark_benchmark: 944.1783, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8248, kappa: 0.6495, kb_relative_information_score: 1054.8529, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8332, predictive_accuracy: 0.8265, prior_entropy: 0.9984, recall: 0.8265, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7209, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8186, kappa: 0.6369, kb_relative_information_score: 1044.5082, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8255, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7101, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8346, kappa: 0.669, kb_relative_information_score: 1024.0728, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8416, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.4837, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7133, scimark_benchmark: 937.5117, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.8147, kappa: 0.6305, kb_relative_information_score: 1017.0176, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8294, predictive_accuracy: 0.8175, prior_entropy: 0.9984, recall: 0.8175, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7238, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8118, kappa: 0.6237, kb_relative_information_score: 912.0772, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.821, predictive_accuracy: 0.8138, prior_entropy: 0.9984, recall: 0.8138, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7303, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.8125, kappa: 0.6245, kb_relative_information_score: 1022.8559, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8175, predictive_accuracy: 0.8138, prior_entropy: 0.9984, recall: 0.8138, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7554, scimark_benchmark: 940.1541, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.6277, kappa: 0.2585, kb_relative_information_score: 501.4921, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.6364, predictive_accuracy: 0.6339, prior_entropy: 0.9984, recall: 0.6339, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6051, root_relative_squared_error: 1.2116, scimark_benchmark: 904.5548, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8186, kappa: 0.6369, kb_relative_information_score: 1044.5082, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8255, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7101, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8186, kappa: 0.6369, kb_relative_information_score: 1044.5082, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8255, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7101, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8186, kappa: 0.6369, kb_relative_information_score: 1044.5082, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8255, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7101, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.8246, kappa: 0.6529, kb_relative_information_score: 1045.0834, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8542, predictive_accuracy: 0.8291, prior_entropy: 0.9984, recall: 0.8291, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7097, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8118, kappa: 0.625, kb_relative_information_score: 992.2216, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8276, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.5015, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7176, scimark_benchmark: 931.7096, usercpu_time_millis: 1010, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8186, kappa: 0.6369, kb_relative_information_score: 1044.5082, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8255, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7101, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.8113, kappa: 0.6228, kb_relative_information_score: 1005.3807, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8199, predictive_accuracy: 0.8132, prior_entropy: 0.9984, recall: 0.8132, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7535, scimark_benchmark: 936.9595, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8346, kappa: 0.669, kb_relative_information_score: 1024.0728, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8416, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.4837, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7133, scimark_benchmark: 938.988, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8292, kappa: 0.6583, kb_relative_information_score: 780.3578, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8364, predictive_accuracy: 0.8307, prior_entropy: 0.9984, recall: 0.8307, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7378, scimark_benchmark: 917.5013, usercpu_time_millis: 890, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.8261, kappa: 0.6519, kb_relative_information_score: 767.8444, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8329, predictive_accuracy: 0.8275, prior_entropy: 0.9984, recall: 0.8275, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7427, scimark_benchmark: 934.7923, usercpu_time_millis: 420, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8286, kappa: 0.6571, kb_relative_information_score: 785.2346, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8368, predictive_accuracy: 0.8302, prior_entropy: 0.9984, recall: 0.8302, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.739, scimark_benchmark: 901.6243, usercpu_time_millis: 210, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8235, kappa: 0.6472, kb_relative_information_score: 810.1788, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8332, predictive_accuracy: 0.8254, prior_entropy: 0.9984, recall: 0.8254, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7354, scimark_benchmark: 920.5394, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8238, kappa: 0.647, kb_relative_information_score: 807.5199, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8283, predictive_accuracy: 0.8249, prior_entropy: 0.9984, recall: 0.8249, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7394, scimark_benchmark: 919.7824, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.815, kappa: 0.6308, kb_relative_information_score: 1054.9801, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8273, predictive_accuracy: 0.8175, prior_entropy: 0.9984, recall: 0.8175, relative_absolute_error: 0.4604, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7176, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.815, kappa: 0.6308, kb_relative_information_score: 1054.9801, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8273, predictive_accuracy: 0.8175, prior_entropy: 0.9984, recall: 0.8175, relative_absolute_error: 0.4604, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7176, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.815, kappa: 0.6308, kb_relative_information_score: 1054.9801, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8273, predictive_accuracy: 0.8175, prior_entropy: 0.9984, recall: 0.8175, relative_absolute_error: 0.4604, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7176, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.815, kappa: 0.6308, kb_relative_information_score: 1054.9801, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8273, predictive_accuracy: 0.8175, prior_entropy: 0.9984, recall: 0.8175, relative_absolute_error: 0.4604, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7176, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.815, kappa: 0.6308, kb_relative_information_score: 1054.9801, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8273, predictive_accuracy: 0.8175, prior_entropy: 0.9984, recall: 0.8175, relative_absolute_error: 0.4604, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7176, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.3601, kb_relative_information_score: -0.083, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.2744, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4994, root_relative_squared_error: 1, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8272, kappa: 0.6589, kb_relative_information_score: 1238.2153, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8629, predictive_accuracy: 0.8323, prior_entropy: 0.9984, recall: 0.8323, relative_absolute_error: 0.3472, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7795, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8118, kappa: 0.625, kb_relative_information_score: 992.2214, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8276, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.5015, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7176, scimark_benchmark: 1322.0065, usercpu_time_millis: 780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8186, kappa: 0.6369, kb_relative_information_score: 1044.5082, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8255, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7101, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8248, kappa: 0.6495, kb_relative_information_score: 1054.8529, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8332, predictive_accuracy: 0.8265, prior_entropy: 0.9984, recall: 0.8265, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7209, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8186, kappa: 0.6369, kb_relative_information_score: 1044.5082, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8255, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7101, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8186, kappa: 0.6369, kb_relative_information_score: 1044.5082, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8255, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7101, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8186, kappa: 0.6369, kb_relative_information_score: 1044.5082, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8255, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7101, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8186, kappa: 0.6369, kb_relative_information_score: 1044.5082, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8255, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7101, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8186, kappa: 0.6369, kb_relative_information_score: 1044.5082, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8255, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7101, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.8113, kappa: 0.6228, kb_relative_information_score: 1005.3807, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8199, predictive_accuracy: 0.8132, prior_entropy: 0.9984, recall: 0.8132, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7535, scimark_benchmark: 1322.1893, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8346, kappa: 0.669, kb_relative_information_score: 1024.0728, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8416, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.4837, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7133, scimark_benchmark: 1346.2927, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.8147, kappa: 0.6305, kb_relative_information_score: 1017.0176, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8294, predictive_accuracy: 0.8175, prior_entropy: 0.9984, recall: 0.8175, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7238, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.8276, kappa: 0.6563, kb_relative_information_score: 1063.4055, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8425, predictive_accuracy: 0.8302, prior_entropy: 0.9984, recall: 0.8302, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7196, scimark_benchmark: 1417.3093, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8118, kappa: 0.6237, kb_relative_information_score: 912.0772, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.821, predictive_accuracy: 0.8138, prior_entropy: 0.9984, recall: 0.8138, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7303, scimark_benchmark: 1320.8283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.8125, kappa: 0.6245, kb_relative_information_score: 1022.8559, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8175, predictive_accuracy: 0.8138, prior_entropy: 0.9984, recall: 0.8138, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7554, scimark_benchmark: 1318.4315, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.8255, kappa: 0.6542, kb_relative_information_score: 993.4698, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8524, predictive_accuracy: 0.8296, prior_entropy: 0.9984, recall: 0.8296, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7132, scimark_benchmark: 1337.1928, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.6277, kappa: 0.2585, kb_relative_information_score: 501.4921, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.6364, predictive_accuracy: 0.6339, prior_entropy: 0.9984, recall: 0.6339, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6051, root_relative_squared_error: 1.2116, scimark_benchmark: 1299.6719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8186, kappa: 0.6369, kb_relative_information_score: 1044.5082, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8255, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7101, scimark_benchmark: 1336.4564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.8246, kappa: 0.6529, kb_relative_information_score: 1045.0834, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8542, predictive_accuracy: 0.8291, prior_entropy: 0.9984, recall: 0.8291, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7097, scimark_benchmark: 1371.174, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8118, kappa: 0.625, kb_relative_information_score: 992.2214, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8276, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.5015, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7176, scimark_benchmark: 1325.3966, usercpu_time_millis: 560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.8113, kappa: 0.6228, kb_relative_information_score: 1005.3807, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8199, predictive_accuracy: 0.8132, prior_entropy: 0.9984, recall: 0.8132, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7535, scimark_benchmark: 1314.2279, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.8147, kappa: 0.6305, kb_relative_information_score: 1017.0176, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8294, predictive_accuracy: 0.8175, prior_entropy: 0.9984, recall: 0.8175, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7238, scimark_benchmark: 1382.5085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8118, kappa: 0.6237, kb_relative_information_score: 912.0772, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.821, predictive_accuracy: 0.8138, prior_entropy: 0.9984, recall: 0.8138, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7303, scimark_benchmark: 1324.3161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.8254, kappa: 0.6519, kb_relative_information_score: 1097.5714, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.4989, number_of_instances: 1890, precision: 0.8409, predictive_accuracy: 0.828, prior_entropy: 0.9984, recall: 0.828, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7446, scimark_benchmark: 1360.6367, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs