OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 133465 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: 0.8264, f_measure: 0.7609, kappa: 0.4639, kb_relative_information_score: 248.427, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7626, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.398, root_relative_squared_error: 0.835, scimark_benchmark: 1755.4795, usercpu_time_millis: 7.055, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 7.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.5616, kappa: 0.0752, kb_relative_information_score: -68.7964, mean_absolute_error: 0.4765, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7184, predictive_accuracy: 0.6693, prior_entropy: 0.9335, recall: 0.6693, relative_absolute_error: 1.0484, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4784, root_relative_squared_error: 1.0038, scimark_benchmark: 1754.1719, usercpu_time_millis: 4.706, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 4.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.5973, kappa: 0.1326, kb_relative_information_score: 30.9191, mean_absolute_error: 0.4392, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7103, predictive_accuracy: 0.6823, prior_entropy: 0.9335, recall: 0.6823, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9623, scimark_benchmark: 1751.2961, usercpu_time_millis: 2.608, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 2.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.765, kappa: 0.4734, kb_relative_information_score: 253.9796, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6839, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8319, scimark_benchmark: 1754.6748, usercpu_time_millis: 7.343, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 7.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.744, f_measure: 0.6659, kappa: 0.2517, kb_relative_information_score: 79.961, mean_absolute_error: 0.4139, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6977, predictive_accuracy: 0.7044, prior_entropy: 0.9335, recall: 0.7044, relative_absolute_error: 0.9106, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.9269, scimark_benchmark: 1891.5934, usercpu_time_millis: 6.327, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 6.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.7464, kappa: 0.4377, kb_relative_information_score: 260.8539, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7451, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8605, scimark_benchmark: 1755.9441, usercpu_time_millis: 3.09, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 3.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.7521, kappa: 0.4438, kb_relative_information_score: 195.1925, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7541, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8483, scimark_benchmark: 1757.4543, usercpu_time_millis: 3.687, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 3.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.7427, kappa: 0.4205, kb_relative_information_score: 192.3466, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7517, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8607, scimark_benchmark: 1747.0922, usercpu_time_millis: 9.825, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 9.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7245, kappa: 0.3792, kb_relative_information_score: 129.4655, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7417, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.8551, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8867, scimark_benchmark: 1750.7876, usercpu_time_millis: 4.732, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 4.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.7559, kappa: 0.4572, kb_relative_information_score: 251.2385, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7547, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6786, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8564, scimark_benchmark: 1752.3455, usercpu_time_millis: 7.286, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 7.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.7572, kappa: 0.4545, kb_relative_information_score: 214.0057, mean_absolute_error: 0.3366, 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: 0.7405, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8425, scimark_benchmark: 1746.6883, usercpu_time_millis: 4.729, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 4.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.7494, kappa: 0.436, kb_relative_information_score: 156.3769, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7569, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8674, scimark_benchmark: 1753.7072, usercpu_time_millis: 1.795, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 1.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.665, kappa: 0.2573, kb_relative_information_score: 66.9998, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7308, predictive_accuracy: 0.7148, prior_entropy: 0.9335, recall: 0.7148, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.9246, scimark_benchmark: 1753.7072, usercpu_time_millis: 15.189, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 15.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.7394, kappa: 0.4216, kb_relative_information_score: 242.3778, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.738, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.9125, scimark_benchmark: 1887.5557, usercpu_time_millis: 8.847, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 8.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.7424, kappa: 0.4194, kb_relative_information_score: 142.8369, mean_absolute_error: 0.3816, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7602, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8787, scimark_benchmark: 1897.5069, usercpu_time_millis: 6.773, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 6.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7635, kappa: 0.4699, kb_relative_information_score: 251.9322, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6864, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8329, scimark_benchmark: 1751.3544, usercpu_time_millis: 6.468, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 6.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.6036, kappa: 0.1434, kb_relative_information_score: 38.8422, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7112, predictive_accuracy: 0.6849, prior_entropy: 0.9335, recall: 0.6849, relative_absolute_error: 0.9585, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9559, scimark_benchmark: 1746.2876, usercpu_time_millis: 3.42, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 3.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, 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: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1752.6238, usercpu_time_millis: 3.588, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 3.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.5574, kappa: 0.0653, kb_relative_information_score: 34.5629, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6896, predictive_accuracy: 0.6654, prior_entropy: 0.9335, recall: 0.6654, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9609, scimark_benchmark: 1756.4112, usercpu_time_millis: 3.682, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 3.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.6896, kappa: 0.3023, kb_relative_information_score: 92.8531, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7156, predictive_accuracy: 0.7201, prior_entropy: 0.9335, recall: 0.7201, relative_absolute_error: 0.8972, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.9161, scimark_benchmark: 1755.9441, usercpu_time_millis: 3.243, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 3.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.747, kappa: 0.4303, kb_relative_information_score: 180.6128, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7561, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8556, scimark_benchmark: 1755.9441, usercpu_time_millis: 3.017, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 3.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.7615, kappa: 0.4641, kb_relative_information_score: 223.1032, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7659, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8405, scimark_benchmark: 1756.3483, usercpu_time_millis: 2.549, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 2.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -0.9095, 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: 1.0002, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1, scimark_benchmark: 1759.7576, usercpu_time_millis: 2.592, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 2.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.7052, kappa: 0.3501, kb_relative_information_score: 225.9248, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7047, predictive_accuracy: 0.7057, prior_entropy: 0.9335, recall: 0.7057, relative_absolute_error: 0.6869, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9816, scimark_benchmark: 1882.3014, usercpu_time_millis: 10.731, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 10.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5134, kb_relative_information_score: -1.1189, mean_absolute_error: 0.4547, 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: 1.0005, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1, scimark_benchmark: 1755.4795, usercpu_time_millis: 7.207, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 7.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.5134, kb_relative_information_score: -60.0746, mean_absolute_error: 0.4735, 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: 1.0417, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4763, root_relative_squared_error: 0.9993, scimark_benchmark: 1755.9441, usercpu_time_millis: 3.143, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 3.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.6051, kappa: 0.1452, kb_relative_information_score: 55.404, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7077, predictive_accuracy: 0.6849, prior_entropy: 0.9335, recall: 0.6849, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9435, scimark_benchmark: 1871.5019, usercpu_time_millis: 0.231, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6412, f_measure: 0.5574, kappa: 0.0653, kb_relative_information_score: 1.9433, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6896, predictive_accuracy: 0.6654, prior_entropy: 0.9335, recall: 0.6654, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9817, scimark_benchmark: 1872.4881, usercpu_time_millis: 1.411, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 1.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.727, kappa: 0.3974, kb_relative_information_score: 264.5567, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7263, predictive_accuracy: 0.7279, prior_entropy: 0.9335, recall: 0.7279, relative_absolute_error: 0.6387, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9841, scimark_benchmark: 1759.6947, usercpu_time_millis: 4.924, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 4.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.7278, kappa: 0.3867, kb_relative_information_score: 123.0242, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7445, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.8622, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.894, scimark_benchmark: 1873.9387, usercpu_time_millis: 0.445, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 0.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.5567, kappa: 0.0627, kb_relative_information_score: 19.4357, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6786, predictive_accuracy: 0.6641, prior_entropy: 0.9335, recall: 0.6641, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9724, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.571, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7584, kappa: 0.457, kb_relative_information_score: 206.609, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7632, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7515, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8442, scimark_benchmark: 1876.2965, usercpu_time_millis: 3.689, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 3.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 255.0961, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1755.9441, usercpu_time_millis: 6.088, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 6.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7635, kappa: 0.4699, kb_relative_information_score: 250.9431, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8335, scimark_benchmark: 1754.4723, usercpu_time_millis: 6.291, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 6.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.7459, kappa: 0.4277, kb_relative_information_score: 172.6873, mean_absolute_error: 0.3633, 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: 0.7994, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.86, scimark_benchmark: 1750.9537, usercpu_time_millis: 4.616, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 4.613,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7635, kappa: 0.4699, kb_relative_information_score: 253.0452, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8323, scimark_benchmark: 1753.3033, usercpu_time_millis: 2.475, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 2.469,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5134, kb_relative_information_score: 0.05, 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: 1750.7876, usercpu_time_millis: 8.655, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 8.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5134, kb_relative_information_score: -0.4243, mean_absolute_error: 0.4543, 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: 0.9996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0001, scimark_benchmark: 1752.841, usercpu_time_millis: 13.014, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 12.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 255.1259, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1752.1591, usercpu_time_millis: 2.355, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 2.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.758, kappa: 0.4565, kb_relative_information_score: 222.1575, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7614, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8453, scimark_benchmark: 1751.237, usercpu_time_millis: 9.386, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 9.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7704, kappa: 0.4855, kb_relative_information_score: 253.0932, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7724, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.6854, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1752.1591, usercpu_time_millis: 7.618, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 7.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 255.1385, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1749.9246, usercpu_time_millis: 3.847, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 3.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.7244, kappa: 0.3811, kb_relative_information_score: 171.1477, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7256, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.7945, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8707, scimark_benchmark: 1905.8648, usercpu_time_millis: 5.758, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 5.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.6991, kappa: 0.3375, kb_relative_information_score: 218.4787, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.699, predictive_accuracy: 0.6992, prior_entropy: 0.9335, recall: 0.6992, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0581, scimark_benchmark: 1752.1591, usercpu_time_millis: 12.628, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 12.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, 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: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1872.4216, usercpu_time_millis: 5.172, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 5.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 254.9799, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6825, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1749.4259, usercpu_time_millis: 5.975, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 5.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7541, kappa: 0.4468, kb_relative_information_score: 195.7064, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.761, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8477, scimark_benchmark: 1750.3253, usercpu_time_millis: 6.083, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 6.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7459, kappa: 0.4275, kb_relative_information_score: 158.3641, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7596, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8714, scimark_benchmark: 1749.3291, usercpu_time_millis: 6.801, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 6.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.7557, kappa: 0.4509, kb_relative_information_score: 207.6893, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7603, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7495, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8446, scimark_benchmark: 1910.3596, usercpu_time_millis: 7.161, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 7.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.6089, kappa: 0.1472, kb_relative_information_score: 26.8154, mean_absolute_error: 0.4405, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6875, predictive_accuracy: 0.6823, prior_entropy: 0.9335, recall: 0.6823, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9655, scimark_benchmark: 1750.3868, usercpu_time_millis: 4.28, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 4.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.7624, kappa: 0.4674, kb_relative_information_score: 249.8413, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.764, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8342, scimark_benchmark: 1870.4029, usercpu_time_millis: 3.505, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 3.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, 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: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1887.6563, usercpu_time_millis: 5.959, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 5.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.6351, kappa: 0.2012, kb_relative_information_score: 71.5954, mean_absolute_error: 0.4206, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7257, predictive_accuracy: 0.7005, prior_entropy: 0.9335, recall: 0.7005, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9319, scimark_benchmark: 1750.7876, usercpu_time_millis: 6.037, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 6.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4072, f_measure: 0.5134, kb_relative_information_score: -48.1544, mean_absolute_error: 0.4697, 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: 1.0335, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4813, root_relative_squared_error: 1.0098, scimark_benchmark: 1907.2881, usercpu_time_millis: 0.434, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7598, kappa: 0.461, kb_relative_information_score: 228.9701, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7182, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8421, scimark_benchmark: 1753.7072, usercpu_time_millis: 1.881, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 1.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.7624, kappa: 0.4674, kb_relative_information_score: 249.9891, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.764, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6888, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.834, scimark_benchmark: 1907.713, usercpu_time_millis: 5.016, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 5.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.7632, kappa: 0.469, kb_relative_information_score: 235.6565, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7655, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8389, scimark_benchmark: 1869.6309, usercpu_time_millis: 7.796, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 7.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7019, kappa: 0.3285, kb_relative_information_score: 137.1484, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.718, predictive_accuracy: 0.7253, prior_entropy: 0.9335, recall: 0.7253, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.8864, scimark_benchmark: 1752.6238, usercpu_time_millis: 10.346, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 10.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7245, kappa: 0.3796, kb_relative_information_score: 107.7404, mean_absolute_error: 0.4012, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.732, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.8827, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8975, scimark_benchmark: 1753.245, usercpu_time_millis: 3.8, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 3.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.762, kappa: 0.4664, kb_relative_information_score: 237.8653, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.764, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394, scimark_benchmark: 1871.9601, usercpu_time_millis: 3.052, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 3.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7666, kappa: 0.4769, kb_relative_information_score: 254.1775, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7682, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8318, scimark_benchmark: 1903.5016, usercpu_time_millis: 3.58, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 3.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.751, kappa: 0.4396, kb_relative_information_score: 184.7246, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7583, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8531, scimark_benchmark: 1896.5523, usercpu_time_millis: 4.065, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 4.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.6707, kappa: 0.2623, kb_relative_information_score: 78.9697, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7033, predictive_accuracy: 0.7083, prior_entropy: 0.9335, recall: 0.7083, relative_absolute_error: 0.9128, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.9269, scimark_benchmark: 1870.9768, usercpu_time_millis: 4.218, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 4.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.7413, kappa: 0.4172, kb_relative_information_score: 163.999, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7526, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.866, scimark_benchmark: 1747.4929, usercpu_time_millis: 5.338, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 5.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7447, kappa: 0.4301, kb_relative_information_score: 260.9701, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7438, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.663, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8511, scimark_benchmark: 1750.7876, usercpu_time_millis: 7.446, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 7.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7087, f_measure: 0.6158, kappa: 0.1647, kb_relative_information_score: 41.1863, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7133, predictive_accuracy: 0.6901, prior_entropy: 0.9335, recall: 0.6901, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9547, scimark_benchmark: 1946.6395, usercpu_time_millis: 4.48, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 4.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.461, f_measure: 0.5134, kb_relative_information_score: -36.6409, mean_absolute_error: 0.4659, 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: 1.0251, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4789, root_relative_squared_error: 1.0047, scimark_benchmark: 1792.1363, usercpu_time_millis: 0.801, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, f_measure: 0.687, kappa: 0.2948, kb_relative_information_score: 136.4763, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6938, predictive_accuracy: 0.707, prior_entropy: 0.9335, recall: 0.707, relative_absolute_error: 0.8366, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.895, scimark_benchmark: 1755.4795, usercpu_time_millis: 9.328, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 9.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7694, kappa: 0.4827, kb_relative_information_score: 228.8094, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7727, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.7204, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8371, scimark_benchmark: 1871.9601, usercpu_time_millis: 4.943, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 4.934,

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