OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 1917 Supervised Classification diabetes 778 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.7387, kappa: 0.4124, kb_relative_information_score: 2773.7781, mean_absolute_error: 0.2862, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7428, predictive_accuracy: 0.7499, prior_entropy: 0.9335, recall: 0.7499, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.7306, kappa: 0.3941, kb_relative_information_score: 1925.7356, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7344, predictive_accuracy: 0.7423, prior_entropy: 0.9335, recall: 0.7423, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.6877, kappa: 0.3098, kb_relative_information_score: 2035.8718, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.6865, predictive_accuracy: 0.6892, prior_entropy: 0.9335, recall: 0.6892, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4917, root_relative_squared_error: 1.0317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.7294, kappa: 0.3929, kb_relative_information_score: 2353.6931, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7303, predictive_accuracy: 0.7385, prior_entropy: 0.9335, recall: 0.7385, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7311, kappa: 0.405, kb_relative_information_score: 1994.2397, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7299, predictive_accuracy: 0.7328, prior_entropy: 0.9335, recall: 0.7328, relative_absolute_error: 0.7433, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.7393, kappa: 0.4195, kb_relative_information_score: 2114.7372, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7379, predictive_accuracy: 0.7434, prior_entropy: 0.9335, recall: 0.7434, relative_absolute_error: 0.7264, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.7337, kappa: 0.4012, kb_relative_information_score: 1814.63, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7374, predictive_accuracy: 0.7451, prior_entropy: 0.9335, recall: 0.7451, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.7349, kappa: 0.404, kb_relative_information_score: 1748.399, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7389, predictive_accuracy: 0.7464, prior_entropy: 0.9335, recall: 0.7464, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8731,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7389, kappa: 0.4118, kb_relative_information_score: 1934.2772, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.749, predictive_accuracy: 0.7538, prior_entropy: 0.9335, recall: 0.7538, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7366, kappa: 0.4077, kb_relative_information_score: 2741.8097, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.741, predictive_accuracy: 0.7482, prior_entropy: 0.9335, recall: 0.7482, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7303, kappa: 0.3935, kb_relative_information_score: 1907.3094, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7342, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.7493, kappa: 0.4415, kb_relative_information_score: 2350.2092, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.748, predictive_accuracy: 0.7533, prior_entropy: 0.9335, recall: 0.7533, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8745, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7452, kappa: 0.4316, kb_relative_information_score: 1701.9751, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7441, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8706, scimark_benchmark: 972.587, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7446, kappa: 0.4301, kb_relative_information_score: 2336.4092, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7437, predictive_accuracy: 0.7497, prior_entropy: 0.9335, recall: 0.7497, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8754, scimark_benchmark: 851.2074, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 1541.0084, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394, scimark_benchmark: 916.0735, usercpu_time_millis: 220, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7588, kappa: 0.4621, kb_relative_information_score: 2552.0293, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.758, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.84, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7618, kappa: 0.4668, kb_relative_information_score: 2640.1268, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7625, predictive_accuracy: 0.7681, prior_entropy: 0.9335, recall: 0.7681, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8264, scimark_benchmark: 943.8235, usercpu_time_millis: 4660, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 4580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7596, kappa: 0.4643, kb_relative_information_score: 2549.6511, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7586, predictive_accuracy: 0.7635, prior_entropy: 0.9335, recall: 0.7635, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394, scimark_benchmark: 931.771, usercpu_time_millis: 250, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 1541.0084, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394, scimark_benchmark: 937.5117, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7512, kappa: 0.4485, kb_relative_information_score: 2584.6889, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.75, predictive_accuracy: 0.7534, prior_entropy: 0.9335, recall: 0.7534, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8711, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7596, kappa: 0.4643, kb_relative_information_score: 2549.6511, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7586, predictive_accuracy: 0.7635, prior_entropy: 0.9335, recall: 0.7635, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394, scimark_benchmark: 943.1009, usercpu_time_millis: 280, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.7493, kappa: 0.4415, kb_relative_information_score: 2350.2092, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.748, predictive_accuracy: 0.7533, prior_entropy: 0.9335, recall: 0.7533, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8745, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7452, kappa: 0.4316, kb_relative_information_score: 1701.9751, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7441, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8706, scimark_benchmark: 935.2002, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7446, kappa: 0.4301, kb_relative_information_score: 2336.4092, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7437, predictive_accuracy: 0.7497, prior_entropy: 0.9335, recall: 0.7497, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8754, scimark_benchmark: 608.4057, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 1541.0084, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394, scimark_benchmark: 908.9569, usercpu_time_millis: 530, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 1541.0084, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394, scimark_benchmark: 938.1282, usercpu_time_millis: 220, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7588, kappa: 0.4621, kb_relative_information_score: 2552.0293, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.758, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.84, scimark_benchmark: 903.2737, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7618, kappa: 0.4668, kb_relative_information_score: 2640.1268, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7625, predictive_accuracy: 0.7681, prior_entropy: 0.9335, recall: 0.7681, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8264, scimark_benchmark: 919.3788, usercpu_time_millis: 5580, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 5520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7512, kappa: 0.4485, kb_relative_information_score: 2584.6889, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.75, predictive_accuracy: 0.7534, prior_entropy: 0.9335, recall: 0.7534, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8711, scimark_benchmark: 936.3213, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7596, kappa: 0.4643, kb_relative_information_score: 2549.6511, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7586, predictive_accuracy: 0.7635, prior_entropy: 0.9335, recall: 0.7635, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394, scimark_benchmark: 901.4991, usercpu_time_millis: 270, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.761, kappa: 0.4639, kb_relative_information_score: 2230.6324, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7635, predictive_accuracy: 0.769, prior_entropy: 0.9335, recall: 0.769, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8318, scimark_benchmark: 920.2531, usercpu_time_millis: 2730, usercpu_time_millis_testing: 680, usercpu_time_millis_training: 2050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7606, kappa: 0.4628, kb_relative_information_score: 2226.0958, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7631, predictive_accuracy: 0.7686, prior_entropy: 0.9335, recall: 0.7686, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8328, scimark_benchmark: 931.7096, usercpu_time_millis: 1440, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.761, kappa: 0.464, kb_relative_information_score: 2236.0368, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7634, predictive_accuracy: 0.7689, prior_entropy: 0.9335, recall: 0.7689, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8329, scimark_benchmark: 921.2615, usercpu_time_millis: 660, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 520,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.7561, kappa: 0.4533, kb_relative_information_score: 2215.9752, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7575, predictive_accuracy: 0.7635, prior_entropy: 0.9335, recall: 0.7635, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8419, scimark_benchmark: 936.7184, usercpu_time_millis: 200, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 150,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.7493, kappa: 0.4415, kb_relative_information_score: 2350.2092, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.748, predictive_accuracy: 0.7533, prior_entropy: 0.9335, recall: 0.7533, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8745, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 1541.0084, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394, scimark_benchmark: 1310.6554, usercpu_time_millis: 370, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.7585, kappa: 0.4666, kb_relative_information_score: 2718.6934, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7578, predictive_accuracy: 0.7595, prior_entropy: 0.9335, recall: 0.7595, relative_absolute_error: 0.6455, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8663, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7588, kappa: 0.4621, kb_relative_information_score: 2552.0293, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.758, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.84, scimark_benchmark: 1316.5668, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7618, kappa: 0.4668, kb_relative_information_score: 2640.1268, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7625, predictive_accuracy: 0.7681, prior_entropy: 0.9335, recall: 0.7681, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8264, scimark_benchmark: 1343.3311, usercpu_time_millis: 3920, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 3850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 1331.4379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7588, kappa: 0.4621, kb_relative_information_score: 2552.0293, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.758, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.84, scimark_benchmark: 1342.2845, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7618, kappa: 0.4668, kb_relative_information_score: 2640.1268, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7625, predictive_accuracy: 0.7681, prior_entropy: 0.9335, recall: 0.7681, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8264, scimark_benchmark: 1324.6442, usercpu_time_millis: 3720, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 3650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7512, kappa: 0.4485, kb_relative_information_score: 2584.6889, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.75, predictive_accuracy: 0.7534, prior_entropy: 0.9335, recall: 0.7534, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8711, scimark_benchmark: 1336.5541, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7452, kappa: 0.4316, kb_relative_information_score: 1701.9751, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7441, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8706, scimark_benchmark: 1319.5773, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7446, kappa: 0.4301, kb_relative_information_score: 2336.4092, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7437, predictive_accuracy: 0.7497, prior_entropy: 0.9335, recall: 0.7497, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8754, scimark_benchmark: 1318.6467, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 1320.1171, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 1303.9481, 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