Task
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.8092, kappa: 0.6153, kb_relative_information_score: 1516.3309, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.7303, kappa: 0.4579, kb_relative_information_score: 561.4702, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7313, predictive_accuracy: 0.7299, prior_entropy: 0.9948, recall: 0.7299, relative_absolute_error: 0.8765, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7623, kappa: 0.5203, kb_relative_information_score: 1272.4388, mean_absolute_error: 0.3454, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7627, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8296, scimark_benchmark: 1847.8629, usercpu_time_millis: 1807.336, usercpu_time_millis_testing: 26.89, usercpu_time_millis_training: 1780.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7488, kappa: 0.4931, kb_relative_information_score: 987.9553, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7502, predictive_accuracy: 0.7502, prior_entropy: 0.9948, recall: 0.7502, relative_absolute_error: 0.7696, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.8689, scimark_benchmark: 1855.4813, usercpu_time_millis: 1830.99, usercpu_time_millis_testing: 25.896, usercpu_time_millis_training: 1805.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.7601, kappa: 0.5159, kb_relative_information_score: 1149.2137, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.761, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.7289, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8459, scimark_benchmark: 1849.7595, usercpu_time_millis: 1795.791, usercpu_time_millis_testing: 27.477, usercpu_time_millis_training: 1768.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.7417, kappa: 0.4787, kb_relative_information_score: 899.1889, mean_absolute_error: 0.3931, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7434, predictive_accuracy: 0.7433, prior_entropy: 0.9948, recall: 0.7433, relative_absolute_error: 0.7919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8813, scimark_benchmark: 1847.8629, usercpu_time_millis: 1837.931, usercpu_time_millis_testing: 24.279, usercpu_time_millis_training: 1813.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.704, kappa: 0.4042, kb_relative_information_score: 561.8352, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7116, predictive_accuracy: 0.7089, prior_entropy: 0.9948, recall: 0.7089, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9278, scimark_benchmark: 1831.7864, usercpu_time_millis: 2010.161, usercpu_time_millis_testing: 15.808, usercpu_time_millis_training: 1994.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7503, kappa: 0.4962, kb_relative_information_score: 1011.4642, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7514, predictive_accuracy: 0.7515, prior_entropy: 0.9948, recall: 0.7515, relative_absolute_error: 0.7636, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8665, scimark_benchmark: 1850.8706, usercpu_time_millis: 1922.453, usercpu_time_millis_testing: 27.695, usercpu_time_millis_training: 1894.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.7122, kappa: 0.4203, kb_relative_information_score: 594.0645, mean_absolute_error: 0.4303, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7186, predictive_accuracy: 0.7163, prior_entropy: 0.9948, recall: 0.7163, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9218, scimark_benchmark: 1823.0405, usercpu_time_millis: 2084.91, usercpu_time_millis_testing: 19.622, usercpu_time_millis_training: 2065.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7457, f_measure: 0.7028, kappa: 0.4019, kb_relative_information_score: 555.802, mean_absolute_error: 0.4346, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7107, predictive_accuracy: 0.7078, prior_entropy: 0.9948, recall: 0.7078, relative_absolute_error: 0.8755, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9297, scimark_benchmark: 1850.4154, usercpu_time_millis: 2105.486, usercpu_time_millis_testing: 16.676, usercpu_time_millis_training: 2088.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.7187, kappa: 0.4334, kb_relative_information_score: 634.2746, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7253, predictive_accuracy: 0.7227, prior_entropy: 0.9948, recall: 0.7227, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9163, scimark_benchmark: 1847.4809, usercpu_time_millis: 2065.155, usercpu_time_millis_testing: 20.465, usercpu_time_millis_training: 2044.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, f_measure: 0.705, kappa: 0.4063, kb_relative_information_score: 585.5098, mean_absolute_error: 0.4311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7128, predictive_accuracy: 0.7099, prior_entropy: 0.9948, recall: 0.7099, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9253, scimark_benchmark: 1735.1328, usercpu_time_millis: 2186.055, usercpu_time_millis_testing: 18.723, usercpu_time_millis_training: 2167.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7674, kappa: 0.5308, kb_relative_information_score: 1388.0292, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7677, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.814, scimark_benchmark: 1851.8968, usercpu_time_millis: 2110.632, usercpu_time_millis_testing: 32.509, usercpu_time_millis_training: 2078.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.7065, kappa: 0.4092, kb_relative_information_score: 577.4279, mean_absolute_error: 0.4322, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7141, predictive_accuracy: 0.7113, prior_entropy: 0.9948, recall: 0.7113, relative_absolute_error: 0.8705, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9264, scimark_benchmark: 1862.9181, usercpu_time_millis: 2199.848, usercpu_time_millis_testing: 19.241, usercpu_time_millis_training: 2180.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7503, kappa: 0.4961, kb_relative_information_score: 1004.5102, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7514, predictive_accuracy: 0.7515, prior_entropy: 0.9948, recall: 0.7515, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8662, scimark_benchmark: 1853.454, usercpu_time_millis: 2121.024, usercpu_time_millis_testing: 31.519, usercpu_time_millis_training: 2089.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.7, kappa: 0.3961, kb_relative_information_score: 548.0027, mean_absolute_error: 0.4354, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7073, predictive_accuracy: 0.7049, prior_entropy: 0.9948, recall: 0.7049, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9328, scimark_benchmark: 1715.9762, usercpu_time_millis: 2206.746, usercpu_time_millis_testing: 15.02, usercpu_time_millis_training: 2191.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.7035, kappa: 0.4032, kb_relative_information_score: 561.1608, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.711, predictive_accuracy: 0.7083, prior_entropy: 0.9948, recall: 0.7083, relative_absolute_error: 0.8742, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4628, root_relative_squared_error: 0.9289, scimark_benchmark: 1728.4298, usercpu_time_millis: 2275.996, usercpu_time_millis_testing: 18.121, usercpu_time_millis_training: 2257.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.6995, kappa: 0.3953, kb_relative_information_score: 553.9302, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7073, predictive_accuracy: 0.7046, prior_entropy: 0.9948, recall: 0.7046, relative_absolute_error: 0.8759, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9305, scimark_benchmark: 1736.9559, usercpu_time_millis: 2299.929, usercpu_time_millis_testing: 16.986, usercpu_time_millis_training: 2282.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.7179, kappa: 0.4317, kb_relative_information_score: 643.2619, mean_absolute_error: 0.4246, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7245, predictive_accuracy: 0.7219, prior_entropy: 0.9948, recall: 0.7219, relative_absolute_error: 0.8553, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.9143, scimark_benchmark: 1817.9594, usercpu_time_millis: 2238.593, usercpu_time_millis_testing: 24.213, usercpu_time_millis_training: 2214.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.7665, kappa: 0.5289, kb_relative_information_score: 1245.8865, mean_absolute_error: 0.3493, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.767, predictive_accuracy: 0.7673, prior_entropy: 0.9948, recall: 0.7673, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8307, scimark_benchmark: 1853.9121, usercpu_time_millis: 2288.017, usercpu_time_millis_testing: 31.366, usercpu_time_millis_training: 2256.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.7631, kappa: 0.522, kb_relative_information_score: 1170.0881, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7639, predictive_accuracy: 0.7641, prior_entropy: 0.9948, recall: 0.7641, relative_absolute_error: 0.7235, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8428, scimark_benchmark: 1733.3606, usercpu_time_millis: 2284.752, usercpu_time_millis_testing: 34.31, usercpu_time_millis_training: 2250.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.701, kappa: 0.3982, kb_relative_information_score: 541.1963, mean_absolute_error: 0.4363, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7086, predictive_accuracy: 0.7059, prior_entropy: 0.9948, recall: 0.7059, relative_absolute_error: 0.8788, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.465, root_relative_squared_error: 0.9333, scimark_benchmark: 1846.4335, usercpu_time_millis: 2274.543, usercpu_time_millis_testing: 16.07, usercpu_time_millis_training: 2258.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.7147, kappa: 0.4253, kb_relative_information_score: 608.6016, mean_absolute_error: 0.4285, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.721, predictive_accuracy: 0.7187, prior_entropy: 0.9948, recall: 0.7187, relative_absolute_error: 0.8632, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9209, scimark_benchmark: 1854.4431, usercpu_time_millis: 2337.39, usercpu_time_millis_testing: 23.548, usercpu_time_millis_training: 2313.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.7087, kappa: 0.4137, kb_relative_information_score: 584.8263, mean_absolute_error: 0.4313, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7162, predictive_accuracy: 0.7134, prior_entropy: 0.9948, recall: 0.7134, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9248, scimark_benchmark: 1952.8286, usercpu_time_millis: 2438.662, usercpu_time_millis_testing: 23.359, usercpu_time_millis_training: 2415.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.6953, kappa: 0.3867, kb_relative_information_score: 534.6542, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7027, predictive_accuracy: 0.7003, prior_entropy: 0.9948, recall: 0.7003, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9393, scimark_benchmark: 1830.2533, usercpu_time_millis: 2434.705, usercpu_time_millis_testing: 13.995, usercpu_time_millis_training: 2420.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, f_measure: 0.7021, kappa: 0.4005, kb_relative_information_score: 560.1681, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7096, predictive_accuracy: 0.707, prior_entropy: 0.9948, recall: 0.707, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.93, scimark_benchmark: 1734.798, usercpu_time_millis: 2435.752, usercpu_time_millis_testing: 18.515, usercpu_time_millis_training: 2417.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, f_measure: 0.7053, kappa: 0.4067, kb_relative_information_score: 569.3113, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7125, predictive_accuracy: 0.7099, prior_entropy: 0.9948, recall: 0.7099, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.927, scimark_benchmark: 1849.8294, usercpu_time_millis: 2442.792, usercpu_time_millis_testing: 20.944, usercpu_time_millis_training: 2421.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.7016, kappa: 0.3996, kb_relative_information_score: 556.3969, mean_absolute_error: 0.4346, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7097, predictive_accuracy: 0.7067, prior_entropy: 0.9948, recall: 0.7067, relative_absolute_error: 0.8755, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9286, scimark_benchmark: 1845.779, usercpu_time_millis: 2420.477, usercpu_time_millis_testing: 20.226, usercpu_time_millis_training: 2400.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.7775, kappa: 0.5522, kb_relative_information_score: 1451.8349, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7778, predictive_accuracy: 0.7774, prior_entropy: 0.9948, recall: 0.7774, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8024, scimark_benchmark: 1850.2875, usercpu_time_millis: 2442.156, usercpu_time_millis_testing: 37.983, usercpu_time_millis_training: 2404.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7479, f_measure: 0.7038, kappa: 0.404, kb_relative_information_score: 567.1323, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7119, predictive_accuracy: 0.7089, prior_entropy: 0.9948, recall: 0.7089, relative_absolute_error: 0.8729, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9278, scimark_benchmark: 1848.388, usercpu_time_millis: 2598.039, usercpu_time_millis_testing: 22.498, usercpu_time_millis_training: 2575.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, f_measure: 0.7116, kappa: 0.4191, kb_relative_information_score: 596.8254, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7181, predictive_accuracy: 0.7158, prior_entropy: 0.9948, recall: 0.7158, relative_absolute_error: 0.866, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9221, scimark_benchmark: 1851.8567, usercpu_time_millis: 2537.541, usercpu_time_millis_testing: 24.634, usercpu_time_millis_training: 2512.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.6673, kappa: 0.3417, kb_relative_information_score: 403.3966, mean_absolute_error: 0.4533, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6996, predictive_accuracy: 0.683, prior_entropy: 0.9948, recall: 0.683, relative_absolute_error: 0.9132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9395, scimark_benchmark: 1840.6995, usercpu_time_millis: 2683.287, usercpu_time_millis_testing: 39.847, usercpu_time_millis_training: 2643.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.7004, kappa: 0.3972, kb_relative_information_score: 541.471, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7088, predictive_accuracy: 0.7057, prior_entropy: 0.9948, recall: 0.7057, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9314, scimark_benchmark: 1855.4813, usercpu_time_millis: 2718.608, usercpu_time_millis_testing: 22.276, usercpu_time_millis_training: 2696.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7219, f_measure: 0.6883, kappa: 0.3722, kb_relative_information_score: 549.3539, mean_absolute_error: 0.4341, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6942, predictive_accuracy: 0.6929, prior_entropy: 0.9948, recall: 0.6929, relative_absolute_error: 0.8744, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9437, scimark_benchmark: 1956.4422, usercpu_time_millis: 2776.414, usercpu_time_millis_testing: 15.271, usercpu_time_millis_training: 2761.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.6989, kappa: 0.3946, kb_relative_information_score: 531.8129, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7082, predictive_accuracy: 0.7046, prior_entropy: 0.9948, recall: 0.7046, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9336, scimark_benchmark: 1849.3742, usercpu_time_millis: 2670.231, usercpu_time_millis_testing: 20.508, usercpu_time_millis_training: 2649.723,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7664, kappa: 0.5289, kb_relative_information_score: 1583.1699, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7666, predictive_accuracy: 0.767, prior_entropy: 0.9948, recall: 0.767, relative_absolute_error: 0.5979, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8176, scimark_benchmark: 1733.7613, usercpu_time_millis: 85.545, usercpu_time_millis_testing: 84.992, usercpu_time_millis_training: 0.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1769.05, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9548, scimark_benchmark: 1730.591, usercpu_time_millis: 83.654, usercpu_time_millis_testing: 83.033, usercpu_time_millis_training: 0.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1800.9635, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0181, scimark_benchmark: 1853.454, usercpu_time_millis: 79.517, usercpu_time_millis_testing: 78.923, usercpu_time_millis_training: 0.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7577, kappa: 0.5112, kb_relative_information_score: 1667.2524, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8468, scimark_benchmark: 1850.2875, usercpu_time_millis: 89.325, usercpu_time_millis_testing: 88.731, usercpu_time_millis_training: 0.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.6755, kappa: 0.3463, kb_relative_information_score: 606.6515, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6806, predictive_accuracy: 0.6801, prior_entropy: 0.9948, recall: 0.6801, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9494, scimark_benchmark: 1848.8474, usercpu_time_millis: 4364.658, usercpu_time_millis_testing: 19.522, usercpu_time_millis_training: 4345.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1769.05, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9548, scimark_benchmark: 1846.6923, usercpu_time_millis: 80.555, usercpu_time_millis_testing: 79.961, usercpu_time_millis_training: 0.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7629, kappa: 0.5218, kb_relative_information_score: 1599.8574, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7632, predictive_accuracy: 0.7635, prior_entropy: 0.9948, recall: 0.7635, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8205, scimark_benchmark: 1806.246, usercpu_time_millis: 86.591, usercpu_time_millis_testing: 86.006, usercpu_time_millis_training: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1687.7642, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8599, scimark_benchmark: 1818.9456, usercpu_time_millis: 87.652, usercpu_time_millis_testing: 87.067, usercpu_time_millis_training: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7577, kappa: 0.5112, kb_relative_information_score: 1667.2524, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8468, scimark_benchmark: 1853.454, usercpu_time_millis: 90.689, usercpu_time_millis_testing: 90.1, usercpu_time_millis_training: 0.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7685, kappa: 0.5329, kb_relative_information_score: 1507.9174, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7688, predictive_accuracy: 0.7691, prior_entropy: 0.9948, recall: 0.7691, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8107, scimark_benchmark: 1729.2293, usercpu_time_millis: 96.917, usercpu_time_millis_testing: 96.328, usercpu_time_millis_training: 0.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7664, kappa: 0.5289, kb_relative_information_score: 1583.1699, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7666, predictive_accuracy: 0.767, prior_entropy: 0.9948, recall: 0.767, relative_absolute_error: 0.5979, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8176, scimark_benchmark: 1853.9121, usercpu_time_millis: 90.2, usercpu_time_millis_testing: 89.597, usercpu_time_millis_training: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7673, kappa: 0.5305, kb_relative_information_score: 1494.5617, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7678, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1731.9625, usercpu_time_millis: 96.64, usercpu_time_millis_testing: 96.057, usercpu_time_millis_training: 0.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7669, kappa: 0.5298, kb_relative_information_score: 1536.4395, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1730.1287, usercpu_time_millis: 96.675, usercpu_time_millis_testing: 96.097, usercpu_time_millis_training: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7577, kappa: 0.5112, kb_relative_information_score: 1667.2524, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8468, scimark_benchmark: 1805.715, usercpu_time_millis: 90.959, usercpu_time_millis_testing: 90.365, usercpu_time_millis_training: 0.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7643, kappa: 0.5246, kb_relative_information_score: 1616.1822, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7645, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8246, scimark_benchmark: 1735.5975, usercpu_time_millis: 96.567, usercpu_time_millis_testing: 95.957, usercpu_time_millis_training: 0.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7674, kappa: 0.5308, kb_relative_information_score: 1521.9462, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7677, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8114, scimark_benchmark: 1728.354, usercpu_time_millis: 93.302, usercpu_time_millis_testing: 92.691, usercpu_time_millis_training: 0.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1384.7857, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8109, scimark_benchmark: 1841.2361, usercpu_time_millis: 92.922, usercpu_time_millis_testing: 92.361, usercpu_time_millis_training: 0.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7683, kappa: 0.5327, kb_relative_information_score: 1566.9641, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7685, predictive_accuracy: 0.7689, prior_entropy: 0.9948, recall: 0.7689, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8154, scimark_benchmark: 1849.8294, usercpu_time_millis: 90.357, usercpu_time_millis_testing: 89.764, usercpu_time_millis_training: 0.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7664, kappa: 0.5289, kb_relative_information_score: 1583.1699, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7666, predictive_accuracy: 0.767, prior_entropy: 0.9948, recall: 0.767, relative_absolute_error: 0.5979, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8176, scimark_benchmark: 1822.2707, usercpu_time_millis: 90.167, usercpu_time_millis_testing: 89.561, usercpu_time_millis_training: 0.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7606, kappa: 0.5168, kb_relative_information_score: 1394.2414, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7616, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8106, scimark_benchmark: 1733.7613, usercpu_time_millis: 98.02, usercpu_time_millis_testing: 97.451, usercpu_time_millis_training: 0.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7653, kappa: 0.5264, kb_relative_information_score: 1469.4768, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8096, scimark_benchmark: 1729.728, usercpu_time_millis: 101.518, usercpu_time_millis_testing: 100.94, usercpu_time_millis_training: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1687.7642, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8599, scimark_benchmark: 1851.8567, usercpu_time_millis: 87.79, usercpu_time_millis_testing: 87.196, usercpu_time_millis_training: 0.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7669, kappa: 0.5298, kb_relative_information_score: 1536.4395, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1730.591, usercpu_time_millis: 99.396, usercpu_time_millis_testing: 98.793, usercpu_time_millis_training: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7606, kappa: 0.5168, kb_relative_information_score: 1394.2414, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7616, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8106, scimark_benchmark: 1850.2875, usercpu_time_millis: 95.55, usercpu_time_millis_testing: 94.993, usercpu_time_millis_training: 0.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7662, kappa: 0.5283, kb_relative_information_score: 1551.4043, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8137, scimark_benchmark: 1850.2875, usercpu_time_millis: 97.423, usercpu_time_millis_testing: 96.833, usercpu_time_millis_training: 0.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7669, kappa: 0.5298, kb_relative_information_score: 1536.4395, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1734.2259, usercpu_time_millis: 99.993, usercpu_time_millis_testing: 99.377, usercpu_time_millis_training: 0.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7627, kappa: 0.5213, kb_relative_information_score: 1632.2084, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7629, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.5804, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.83, scimark_benchmark: 1831.1577, usercpu_time_millis: 93.116, usercpu_time_millis_testing: 92.516, usercpu_time_millis_training: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7662, kappa: 0.5283, kb_relative_information_score: 1551.4043, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8137, scimark_benchmark: 1730.1903, usercpu_time_millis: 98.915, usercpu_time_millis_testing: 98.312, usercpu_time_millis_training: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1769.05, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9548, scimark_benchmark: 1792.4268, usercpu_time_millis: 79.749, usercpu_time_millis_testing: 79.169, usercpu_time_millis_training: 0.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7653, kappa: 0.5264, kb_relative_information_score: 1457.7149, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8095, scimark_benchmark: 1849.7595, usercpu_time_millis: 98.296, usercpu_time_millis_testing: 97.733, usercpu_time_millis_training: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7653, kappa: 0.5264, kb_relative_information_score: 1457.7149, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8095, scimark_benchmark: 1853.9121, usercpu_time_millis: 99.712, usercpu_time_millis_testing: 99.112, usercpu_time_millis_training: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1800.9635, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0181, scimark_benchmark: 1839.5885, usercpu_time_millis: 77.458, usercpu_time_millis_testing: 76.87, usercpu_time_millis_training: 0.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7606, kappa: 0.5168, kb_relative_information_score: 1394.2414, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7616, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8106, scimark_benchmark: 1728.8162, usercpu_time_millis: 103.896, usercpu_time_millis_testing: 103.293, usercpu_time_millis_training: 0.603,

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