OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131682 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7686, kappa: 0.4847, kb_relative_information_score: 224.3954, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7677, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8327, scimark_benchmark: 1863.4543, usercpu_time_millis: 4.946, usercpu_time_millis_testing: 0.716, usercpu_time_millis_training: 4.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.7275, kappa: 0.3883, kb_relative_information_score: 175.8436, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7285, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.7884, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8703, scimark_benchmark: 1749.992, usercpu_time_millis: 1.197, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 1.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.5363, kappa: 0.0302, kb_relative_information_score: 69.3435, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6517, predictive_accuracy: 0.6563, prior_entropy: 0.9335, recall: 0.6563, relative_absolute_error: 0.9257, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.9342, scimark_benchmark: 1744.2877, usercpu_time_millis: 1.233, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 1.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.767, kappa: 0.4825, kb_relative_information_score: 247.6331, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7658, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.8259, scimark_benchmark: 1861.3749, usercpu_time_millis: 5.254, usercpu_time_millis_testing: 0.627, usercpu_time_millis_training: 4.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7514, kappa: 0.4418, kb_relative_information_score: 207.9135, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8369, scimark_benchmark: 1744.8504, usercpu_time_millis: 4.009, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 3.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7457, f_measure: 0.6976, kappa: 0.3256, kb_relative_information_score: 165.9459, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6953, predictive_accuracy: 0.7031, prior_entropy: 0.9335, recall: 0.7031, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.9201, scimark_benchmark: 1871.0467, usercpu_time_millis: 0.053, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -0.9898, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1, scimark_benchmark: 1869.6309, usercpu_time_millis: 0.285, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.761, kappa: 0.4653, kb_relative_information_score: 241.8215, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8291, scimark_benchmark: 1857.1406, usercpu_time_millis: 0.381, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.7365, kappa: 0.4062, kb_relative_information_score: 142.7547, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7484, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8817, scimark_benchmark: 1859.4255, usercpu_time_millis: 1.093, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7622, kappa: 0.4691, kb_relative_information_score: 240.9668, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7617, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8287, scimark_benchmark: 1862.932, usercpu_time_millis: 1.574, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 1.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7572, kappa: 0.4619, kb_relative_information_score: 251.6487, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.756, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.681, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.834, scimark_benchmark: 1868.0738, usercpu_time_millis: 2.352, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 2.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7635, kappa: 0.4738, kb_relative_information_score: 230.4444, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7625, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7158, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.83, scimark_benchmark: 1139.101, usercpu_time_millis: 8.677, usercpu_time_millis_testing: 1.196, usercpu_time_millis_training: 7.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.77, kappa: 0.4881, kb_relative_information_score: 242.1875, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7691, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6967, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8294, scimark_benchmark: 1843.1016, usercpu_time_millis: 0.187, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7019, kappa: 0.3309, kb_relative_information_score: 129.7695, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7364, predictive_accuracy: 0.7331, prior_entropy: 0.9335, recall: 0.7331, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8844, scimark_benchmark: 1845.7835, usercpu_time_millis: 1.117, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 0.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5134, kb_relative_information_score: -0.0735, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1866.1009, usercpu_time_millis: 0.284, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1824, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1844.6587, usercpu_time_millis: 1.294, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 0.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0723, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1869.1029, usercpu_time_millis: 0.448, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7389, kappa: 0.4125, kb_relative_information_score: 170.6743, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7448, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8591, scimark_benchmark: 1872.9496, usercpu_time_millis: 1.338, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 1.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7605, kappa: 0.4683, kb_relative_information_score: 247.9087, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7593, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.829, scimark_benchmark: 1871.4349, usercpu_time_millis: 4.951, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 4.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7586, kappa: 0.4617, kb_relative_information_score: 200.026, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7578, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8459, scimark_benchmark: 1832.5555, usercpu_time_millis: 1.953, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 1.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7724, kappa: 0.4931, kb_relative_information_score: 237.5804, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7717, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.7054, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8319, scimark_benchmark: 1871.5019, usercpu_time_millis: 1.77, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 1.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.664, kappa: 0.258, kb_relative_information_score: 112.2603, mean_absolute_error: 0.3966, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.744, predictive_accuracy: 0.7174, prior_entropy: 0.9335, recall: 0.7174, relative_absolute_error: 0.8727, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.897, scimark_benchmark: 1854.8318, usercpu_time_millis: 0.334, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7636, kappa: 0.476, kb_relative_information_score: 246.5173, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7625, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6864, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394, scimark_benchmark: 1867.1999, usercpu_time_millis: 6.994, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 6.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.7421, kappa: 0.4211, kb_relative_information_score: 192.8063, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7442, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8543, scimark_benchmark: 1869.1727, usercpu_time_millis: 1.557, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 1.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.7406, kappa: 0.4157, kb_relative_information_score: 158.211, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7506, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.863, scimark_benchmark: 1872.0299, usercpu_time_millis: 1.874, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 1.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7553, kappa: 0.4524, kb_relative_information_score: 226.3727, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7557, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7197, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8359, scimark_benchmark: 1873.5991, usercpu_time_millis: 1.411, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 1.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7357, kappa: 0.4046, kb_relative_information_score: 148.2831, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7548, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.8291, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8697, scimark_benchmark: 1842.9272, usercpu_time_millis: 0.92, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7646, kappa: 0.4775, kb_relative_information_score: 246.1947, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7634, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8303, scimark_benchmark: 1849.9918, usercpu_time_millis: 7.925, usercpu_time_millis_testing: 1.087, usercpu_time_millis_training: 6.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7686, kappa: 0.4868, kb_relative_information_score: 237.9024, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7676, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7038, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8302, scimark_benchmark: 1860.0075, usercpu_time_millis: 2.822, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 2.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1639, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.675, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7651, kappa: 0.476, kb_relative_information_score: 224.0082, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7645, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.725, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8349, scimark_benchmark: 1868.2531, usercpu_time_millis: 1.159, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5134, kb_relative_information_score: -0.1592, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1868.1832, usercpu_time_millis: 0.225, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7579, kappa: 0.4625, kb_relative_information_score: 243.8397, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7566, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6942, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8339, scimark_benchmark: 1841.6148, usercpu_time_millis: 3.496, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 3.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7744, kappa: 0.5002, kb_relative_information_score: 252.6413, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7734, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8347, scimark_benchmark: 1864.7294, usercpu_time_millis: 0.542, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7655, kappa: 0.4791, kb_relative_information_score: 250.0877, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7644, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6841, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.832, scimark_benchmark: 1851.5125, usercpu_time_millis: 8.838, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 7.911,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7556, kappa: 0.4533, kb_relative_information_score: 235.9272, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7558, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7078, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8293, scimark_benchmark: 1821.8602, usercpu_time_millis: 1.028, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.7148, kappa: 0.3579, kb_relative_information_score: 136.3349, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7389, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8799, scimark_benchmark: 1760.5046, usercpu_time_millis: 0.286, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.7643, kappa: 0.4788, kb_relative_information_score: 255.8367, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7634, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8498, scimark_benchmark: 1866.1009, usercpu_time_millis: 15.938, usercpu_time_millis_testing: 1.557, usercpu_time_millis_training: 14.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7614, kappa: 0.4698, kb_relative_information_score: 252.2477, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7603, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8275, scimark_benchmark: 1871.5019, usercpu_time_millis: 9.668, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 8.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0864, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1758.5397, usercpu_time_millis: 1.086, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 0.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7556, kappa: 0.4562, kb_relative_information_score: 246.4628, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6918, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.8249, scimark_benchmark: 1758.9507, usercpu_time_millis: 1.107, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.7577, kappa: 0.4602, kb_relative_information_score: 248.4537, mean_absolute_error: 0.3127, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7567, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8274, scimark_benchmark: 1857.5664, usercpu_time_millis: 5.992, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 5.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7568, kappa: 0.4558, kb_relative_information_score: 235.0288, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7571, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8288, scimark_benchmark: 1840.5827, usercpu_time_millis: 3.644, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 3.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7689, kappa: 0.4877, kb_relative_information_score: 249.4405, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7678, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6846, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8337, scimark_benchmark: 1864.4376, usercpu_time_millis: 7.11, usercpu_time_millis_testing: 0.744, usercpu_time_millis_training: 6.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7705, kappa: 0.4919, kb_relative_information_score: 249.0112, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7696, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.399, root_relative_squared_error: 0.837, scimark_benchmark: 1873.5293, usercpu_time_millis: 10.596, usercpu_time_millis_testing: 0.975, usercpu_time_millis_training: 9.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7696, kappa: 0.4851, kb_relative_information_score: 195.5708, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7697, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.7635, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8434, scimark_benchmark: 1831.1749, usercpu_time_millis: 4.646, usercpu_time_millis_testing: 0.746, usercpu_time_millis_training: 3.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.7619, kappa: 0.4739, kb_relative_information_score: 252.7125, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7611, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6736, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8496, scimark_benchmark: 1869.2273, usercpu_time_millis: 12.904, usercpu_time_millis_testing: 1.564, usercpu_time_millis_training: 11.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7592, kappa: 0.4622, kb_relative_information_score: 200.4104, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7588, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8444, scimark_benchmark: 1754.3049, usercpu_time_millis: 4.267, usercpu_time_millis_testing: 0.586, usercpu_time_millis_training: 3.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7626, kappa: 0.4723, kb_relative_information_score: 240.7678, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7615, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6984, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8345, scimark_benchmark: 1730.0256, usercpu_time_millis: 3.821, usercpu_time_millis_testing: 0.469, usercpu_time_millis_training: 3.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7607, kappa: 0.4715, kb_relative_information_score: 259.7697, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.76, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8428, scimark_benchmark: 1758.1355, usercpu_time_millis: 6.441, usercpu_time_millis_testing: 0.591, usercpu_time_millis_training: 5.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7636, kappa: 0.4713, kb_relative_information_score: 193.9755, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7641, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8425, scimark_benchmark: 1756.2894, usercpu_time_millis: 6.47, usercpu_time_millis_testing: 1.07, usercpu_time_millis_training: 5.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7667, kappa: 0.4816, kb_relative_information_score: 232.6423, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7656, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8334, scimark_benchmark: 1822.71, usercpu_time_millis: 8.562, usercpu_time_millis_testing: 1.14, usercpu_time_millis_training: 7.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.7624, kappa: 0.4736, kb_relative_information_score: 249.3588, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6866, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8292, scimark_benchmark: 1825.6971, usercpu_time_millis: 9.878, usercpu_time_millis_testing: 1.274, usercpu_time_millis_training: 8.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7638, kappa: 0.4748, kb_relative_information_score: 249.5826, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.8282, scimark_benchmark: 1857.0384, usercpu_time_millis: 7.299, usercpu_time_millis_testing: 0.753, usercpu_time_millis_training: 6.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.5917, kappa: 0.1243, kb_relative_information_score: 89.3031, mean_absolute_error: 0.411, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7168, predictive_accuracy: 0.681, prior_entropy: 0.9335, recall: 0.681, relative_absolute_error: 0.9042, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.437, root_relative_squared_error: 0.9168, scimark_benchmark: 1861.6424, usercpu_time_millis: 0.485, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7648, kappa: 0.4751, kb_relative_information_score: 232.4292, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7644, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.713, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8316, scimark_benchmark: 1870.6721, usercpu_time_millis: 1.208, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 1.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.755, kappa: 0.4557, kb_relative_information_score: 249.0288, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7537, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6857, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8309, scimark_benchmark: 1868.2531, usercpu_time_millis: 2.633, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 2.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7653, kappa: 0.4782, kb_relative_information_score: 250.9383, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7642, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8264, scimark_benchmark: 1824.7377, usercpu_time_millis: 5.671, usercpu_time_millis_testing: 0.591, usercpu_time_millis_training: 5.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7591, kappa: 0.4672, kb_relative_information_score: 254.3593, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7582, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6718, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.846, scimark_benchmark: 1858.9715, usercpu_time_millis: 11.83, usercpu_time_millis_testing: 1.308, usercpu_time_millis_training: 10.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.7308, kappa: 0.4056, kb_relative_information_score: 197.9069, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.73, predictive_accuracy: 0.7318, prior_entropy: 0.9335, recall: 0.7318, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.9026, scimark_benchmark: 1869.8223, usercpu_time_millis: 0.073, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.759, kappa: 0.4594, kb_relative_information_score: 202.9697, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7612, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8369, scimark_benchmark: 1857.9581, usercpu_time_millis: 0.751, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7646, kappa: 0.4775, kb_relative_information_score: 233.0625, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7634, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8291, scimark_benchmark: 1855.0232, usercpu_time_millis: 0.906, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 0.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7392, kappa: 0.4206, kb_relative_information_score: 258.5179, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7377, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8524, scimark_benchmark: 1869.7037, usercpu_time_millis: 2.354, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 2.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7639, kappa: 0.4722, kb_relative_information_score: 223.3747, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7641, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8349, scimark_benchmark: 1869.1727, usercpu_time_millis: 2.731, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 2.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7624, kappa: 0.4714, kb_relative_information_score: 230.8435, mean_absolute_error: 0.3242, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7134, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8324, scimark_benchmark: 1857.5664, usercpu_time_millis: 2.915, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 2.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.761, kappa: 0.4666, kb_relative_information_score: 237.9502, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7604, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7046, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8297, scimark_benchmark: 1873.4078, usercpu_time_millis: 4.086, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 3.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7612, kappa: 0.4689, kb_relative_information_score: 252.4954, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.76, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6803, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.83, scimark_benchmark: 1872.0299, usercpu_time_millis: 11.924, usercpu_time_millis_testing: 0.986, usercpu_time_millis_training: 10.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7616, kappa: 0.4672, kb_relative_information_score: 220.0774, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7615, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.839, scimark_benchmark: 1863.3902, usercpu_time_millis: 0.376, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.328,

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