OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131650 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: 0.8308, f_measure: 0.7479, kappa: 0.4324, kb_relative_information_score: 178.2385, mean_absolute_error: 0.3584, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7555, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8513, scimark_benchmark: 1261.7199, usercpu_time_millis: 13.107, usercpu_time_millis_testing: 1.668, usercpu_time_millis_training: 11.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.7631, kappa: 0.4742, kb_relative_information_score: 255.7244, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.762, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6736, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8414, scimark_benchmark: 1263.7055, usercpu_time_millis: 38.079, usercpu_time_millis_testing: 3.184, usercpu_time_millis_training: 34.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7645, kappa: 0.4741, kb_relative_information_score: 243.2494, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7643, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8276, scimark_benchmark: 1265.2096, usercpu_time_millis: 23.888, usercpu_time_millis_testing: 2.378, usercpu_time_millis_training: 21.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7618, kappa: 0.4695, kb_relative_information_score: 250.7058, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7609, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8301, scimark_benchmark: 1260.3432, usercpu_time_millis: 23.217, usercpu_time_millis_testing: 1.727, usercpu_time_millis_training: 21.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7695, kappa: 0.4839, kb_relative_information_score: 237.3731, mean_absolute_error: 0.3213, 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: 0.7068, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8316, scimark_benchmark: 1265.0132, usercpu_time_millis: 22.196, usercpu_time_millis_testing: 2.043, usercpu_time_millis_training: 20.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: -0.0128, 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: 0.9999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1250.4925, usercpu_time_millis: 3.386, usercpu_time_millis_testing: 0.661, usercpu_time_millis_training: 2.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5134, kb_relative_information_score: 0.2242, 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: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1254.6789, usercpu_time_millis: 5.216, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 4.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7774, kappa: 0.504, kb_relative_information_score: 236.7073, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7769, predictive_accuracy: 0.7813, prior_entropy: 0.9335, recall: 0.7813, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8299, scimark_benchmark: 1256.4895, usercpu_time_millis: 5.966, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 5.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7615, kappa: 0.4685, kb_relative_information_score: 247.8969, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7607, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8264, scimark_benchmark: 1255.4593, usercpu_time_millis: 14.952, usercpu_time_millis_testing: 1.366, usercpu_time_millis_training: 13.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7613, kappa: 0.4663, kb_relative_information_score: 244.3537, mean_absolute_error: 0.3172, 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: 0.698, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8285, scimark_benchmark: 1264.2861, usercpu_time_millis: 4.371, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 3.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.7521, kappa: 0.4459, kb_relative_information_score: 234.7309, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7518, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8319, scimark_benchmark: 1260.949, usercpu_time_millis: 1.959, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 1.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7452, kappa: 0.4282, kb_relative_information_score: 215.2315, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.747, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8364, scimark_benchmark: 1257.3543, usercpu_time_millis: 5.162, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 4.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.7217, kappa: 0.373, kb_relative_information_score: 126.3331, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7413, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.893, scimark_benchmark: 1262.5237, usercpu_time_millis: 10.605, usercpu_time_millis_testing: 1.259, usercpu_time_millis_training: 9.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7669, kappa: 0.4791, kb_relative_information_score: 244.1714, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.767, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8291, scimark_benchmark: 1258.1713, usercpu_time_millis: 9.794, usercpu_time_millis_testing: 0.754, usercpu_time_millis_training: 9.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.7108, kappa: 0.3508, kb_relative_information_score: 172.3076, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7113, predictive_accuracy: 0.7214, prior_entropy: 0.9335, recall: 0.7214, relative_absolute_error: 0.7761, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.9079, scimark_benchmark: 1256.272, usercpu_time_millis: 0.21, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.745, kappa: 0.4253, kb_relative_information_score: 152.2583, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7605, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8682, scimark_benchmark: 1260.9708, usercpu_time_millis: 1.293, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 1.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7444, kappa: 0.4267, kb_relative_information_score: 169.8211, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7457, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8663, scimark_benchmark: 1256.9152, usercpu_time_millis: 3.571, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 3.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7531, kappa: 0.4527, kb_relative_information_score: 262.949, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7519, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8462, scimark_benchmark: 1258.4475, usercpu_time_millis: 5.013, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 4.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7619, kappa: 0.4682, kb_relative_information_score: 235.2453, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7616, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.709, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8291, scimark_benchmark: 1271.6037, usercpu_time_millis: 37.97, usercpu_time_millis_testing: 3.622, usercpu_time_millis_training: 34.348,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7569, kappa: 0.4633, kb_relative_information_score: 261.4872, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7562, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6599, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8513, scimark_benchmark: 1256.1646, usercpu_time_millis: 34.744, usercpu_time_millis_testing: 2.373, usercpu_time_millis_training: 32.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7686, kappa: 0.4847, kb_relative_information_score: 253.5404, mean_absolute_error: 0.3092, 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: 0.6802, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8311, scimark_benchmark: 1258.9661, usercpu_time_millis: 45.487, usercpu_time_millis_testing: 3.097, usercpu_time_millis_training: 42.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5134, kb_relative_information_score: 0.0921, 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: 1265.4891, usercpu_time_millis: 3.823, usercpu_time_millis_testing: 0.664, usercpu_time_millis_training: 3.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5134, kb_relative_information_score: 0.0655, 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: 1263.6635, usercpu_time_millis: 5.476, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 4.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.7553, kappa: 0.4504, kb_relative_information_score: 201.1914, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7586, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.84, scimark_benchmark: 1263.7008, usercpu_time_millis: 7.307, usercpu_time_millis_testing: 0.876, usercpu_time_millis_training: 6.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.5391, kappa: 0.035, kb_relative_information_score: 70.8203, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6606, predictive_accuracy: 0.6576, prior_entropy: 0.9335, recall: 0.6576, relative_absolute_error: 0.9233, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9329, scimark_benchmark: 1261.5739, usercpu_time_millis: 8.467, usercpu_time_millis_testing: 1.32, usercpu_time_millis_training: 7.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.7613, kappa: 0.4676, kb_relative_information_score: 249.577, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7605, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8302, scimark_benchmark: 1265.699, usercpu_time_millis: 28.627, usercpu_time_millis_testing: 2.278, usercpu_time_millis_training: 26.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7648, kappa: 0.4751, kb_relative_information_score: 245.5665, mean_absolute_error: 0.3156, 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: 0.6945, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.826, scimark_benchmark: 1264.4782, usercpu_time_millis: 9.732, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 8.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.7662, kappa: 0.476, kb_relative_information_score: 232.5493, mean_absolute_error: 0.3248, 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: 0.7147, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8296, scimark_benchmark: 1265.3648, usercpu_time_millis: 16.828, usercpu_time_millis_testing: 1.657, usercpu_time_millis_training: 15.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.772, kappa: 0.4933, kb_relative_information_score: 255.5933, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8308, scimark_benchmark: 1261.4515, usercpu_time_millis: 22.459, usercpu_time_millis_testing: 1.977, usercpu_time_millis_training: 20.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7654, kappa: 0.4757, kb_relative_information_score: 238.5632, mean_absolute_error: 0.3203, 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: 0.7048, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8285, scimark_benchmark: 1268.7772, usercpu_time_millis: 4.005, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 3.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.772, kappa: 0.4933, kb_relative_information_score: 255.8863, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8363, scimark_benchmark: 1275.4162, usercpu_time_millis: 38.875, usercpu_time_millis_testing: 2.171, usercpu_time_millis_training: 36.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7681, kappa: 0.4816, kb_relative_information_score: 238.7989, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7683, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.7046, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.394, root_relative_squared_error: 0.8267, scimark_benchmark: 1260.1779, usercpu_time_millis: 27.034, usercpu_time_millis_testing: 2.4, usercpu_time_millis_training: 24.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7664, kappa: 0.4806, kb_relative_information_score: 255.0075, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6789, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8289, scimark_benchmark: 1313.1709, usercpu_time_millis: 11.923, usercpu_time_millis_testing: 0.951, usercpu_time_millis_training: 10.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.768, kappa: 0.4804, kb_relative_information_score: 236.9583, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7696, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.7071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8314, scimark_benchmark: 1260.417, usercpu_time_millis: 21.476, usercpu_time_millis_testing: 1.681, usercpu_time_millis_training: 19.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.7627, kappa: 0.4684, kb_relative_information_score: 228.6912, mean_absolute_error: 0.3271, 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: 0.7196, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.829, scimark_benchmark: 1256.903, usercpu_time_millis: 16.074, usercpu_time_millis_testing: 1.476, usercpu_time_millis_training: 14.598,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.6994, kappa: 0.3233, kb_relative_information_score: 121.2682, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7196, predictive_accuracy: 0.7253, prior_entropy: 0.9335, recall: 0.7253, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8955, scimark_benchmark: 1257.2095, usercpu_time_millis: 3.766, usercpu_time_millis_testing: 0.602, usercpu_time_millis_training: 3.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7698, kappa: 0.486, kb_relative_information_score: 234.0223, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7698, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.7096, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8316, scimark_benchmark: 1265.1344, usercpu_time_millis: 12.78, usercpu_time_millis_testing: 1.415, usercpu_time_millis_training: 11.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7672, kappa: 0.4801, kb_relative_information_score: 237.8592, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.767, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.8278, scimark_benchmark: 1264.1758, usercpu_time_millis: 22.101, usercpu_time_millis_testing: 2.417, usercpu_time_millis_training: 19.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.7443, kappa: 0.4238, kb_relative_information_score: 146.6365, mean_absolute_error: 0.3787, 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: 0.8333, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8737, scimark_benchmark: 1362.2319, usercpu_time_millis: 4.897, usercpu_time_millis_testing: 0.587, usercpu_time_millis_training: 4.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7415, kappa: 0.4179, kb_relative_information_score: 174.3021, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.75, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.7941, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8533, scimark_benchmark: 1265.5125, usercpu_time_millis: 12.02, usercpu_time_millis_testing: 1.381, usercpu_time_millis_training: 10.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.6691, kappa: 0.2679, kb_relative_information_score: 105.8212, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7446, predictive_accuracy: 0.7201, prior_entropy: 0.9335, recall: 0.7201, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.9041, scimark_benchmark: 1254.9452, usercpu_time_millis: 1.647, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 1.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7761, kappa: 0.4995, kb_relative_information_score: 234.599, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7766, predictive_accuracy: 0.7813, prior_entropy: 0.9335, recall: 0.7813, relative_absolute_error: 0.7107, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8287, scimark_benchmark: 1257.7721, usercpu_time_millis: 13.51, usercpu_time_millis_testing: 1.519, usercpu_time_millis_training: 11.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.763, kappa: 0.4707, kb_relative_information_score: 243.2116, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7629, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8285, scimark_benchmark: 1241.6926, usercpu_time_millis: 17.659, usercpu_time_millis_testing: 1.644, usercpu_time_millis_training: 16.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5134, kb_relative_information_score: 0.1165, 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: 1258.279, usercpu_time_millis: 3.925, usercpu_time_millis_testing: 0.608, usercpu_time_millis_training: 3.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.7588, kappa: 0.4599, kb_relative_information_score: 226.8675, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8357, scimark_benchmark: 1266.7908, usercpu_time_millis: 9.407, usercpu_time_millis_testing: 0.809, usercpu_time_millis_training: 8.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.761, kappa: 0.4666, kb_relative_information_score: 246.3316, mean_absolute_error: 0.3144, 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: 0.6918, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8301, scimark_benchmark: 1265.1938, usercpu_time_millis: 12.791, usercpu_time_millis_testing: 0.982, usercpu_time_millis_training: 11.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.7197, kappa: 0.3703, kb_relative_information_score: 214.7218, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7212, predictive_accuracy: 0.7305, prior_entropy: 0.9335, recall: 0.7305, relative_absolute_error: 0.7158, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.432, root_relative_squared_error: 0.9064, scimark_benchmark: 1263.0484, usercpu_time_millis: 0.115, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7716, kappa: 0.4892, kb_relative_information_score: 237.0629, mean_absolute_error: 0.3213, 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: 0.707, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8312, scimark_benchmark: 1238.4932, usercpu_time_millis: 6.788, usercpu_time_millis_testing: 0.635, usercpu_time_millis_training: 6.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1371, 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: 1332.5222, usercpu_time_millis: 5.189, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 4.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.763, kappa: 0.4707, kb_relative_information_score: 247.1175, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7629, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8285, scimark_benchmark: 1245.0705, usercpu_time_millis: 31.779, usercpu_time_millis_testing: 2.229, usercpu_time_millis_training: 29.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7625, kappa: 0.467, kb_relative_information_score: 213.5633, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7656, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7409, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8343, scimark_benchmark: 1260.8262, usercpu_time_millis: 10.718, usercpu_time_millis_testing: 1.163, usercpu_time_millis_training: 9.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7727, kappa: 0.494, kb_relative_information_score: 250.9259, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7718, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6841, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8358, scimark_benchmark: 1255.5232, usercpu_time_millis: 7.654, usercpu_time_millis_testing: 0.591, usercpu_time_millis_training: 7.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7517, kappa: 0.4517, kb_relative_information_score: 262.9765, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.751, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8565, scimark_benchmark: 1265.9103, usercpu_time_millis: 46.338, usercpu_time_millis_testing: 2.578, usercpu_time_millis_training: 43.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7432, kappa: 0.4213, kb_relative_information_score: 158.193, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7564, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8651, scimark_benchmark: 1254.1937, usercpu_time_millis: 2, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 1.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -0.296, 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: 1257.767, usercpu_time_millis: 0.273, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 0.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.7636, kappa: 0.4713, kb_relative_information_score: 229.755, mean_absolute_error: 0.3262, 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: 0.7176, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8302, scimark_benchmark: 1254.9923, usercpu_time_millis: 3.7, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 3.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7561, kappa: 0.4519, kb_relative_information_score: 192.1974, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7602, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7692, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8459, scimark_benchmark: 1263.0865, usercpu_time_millis: 11.176, usercpu_time_millis_testing: 1.296, usercpu_time_millis_training: 9.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7667, kappa: 0.4816, kb_relative_information_score: 255.0239, mean_absolute_error: 0.307, 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: 0.6754, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8381, scimark_benchmark: 1248.8032, usercpu_time_millis: 32.324, usercpu_time_millis_testing: 1.951, usercpu_time_millis_training: 30.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7668, kappa: 0.4803, kb_relative_information_score: 250.2173, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7661, 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: 0.3958, root_relative_squared_error: 0.8304, scimark_benchmark: 1259.1526, usercpu_time_millis: 32.993, usercpu_time_millis_testing: 1.992, usercpu_time_millis_training: 31.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.5134, kb_relative_information_score: -0.2525, 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: 0.4767, root_relative_squared_error: 1, scimark_benchmark: 1259.1324, usercpu_time_millis: 1.061, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 0.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.7642, kappa: 0.4732, kb_relative_information_score: 239.9321, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7642, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.394, root_relative_squared_error: 0.8266, scimark_benchmark: 1266.6343, usercpu_time_millis: 14.356, usercpu_time_millis_testing: 1.065, usercpu_time_millis_training: 13.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7567, kappa: 0.4544, kb_relative_information_score: 202.3207, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7536, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8442, scimark_benchmark: 1268.4589, usercpu_time_millis: 12.478, usercpu_time_millis_testing: 1.534, usercpu_time_millis_training: 10.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.5134, kb_relative_information_score: -0.3984, 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: 0.9999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1, scimark_benchmark: 1256.6225, usercpu_time_millis: 1.342, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 1.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.677, kappa: 0.2821, kb_relative_information_score: 100.029, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7398, predictive_accuracy: 0.7227, prior_entropy: 0.9335, recall: 0.7227, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.9102, scimark_benchmark: 1257.1312, usercpu_time_millis: 2.728, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 2.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7273, kappa: 0.3858, kb_relative_information_score: 124.6536, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.748, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8947, scimark_benchmark: 1260.6432, usercpu_time_millis: 7.964, usercpu_time_millis_testing: 1.04, usercpu_time_millis_training: 6.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7624, kappa: 0.4688, kb_relative_information_score: 236.7698, mean_absolute_error: 0.3217, 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: 0.7079, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8281, scimark_benchmark: 1250.8325, usercpu_time_millis: 27.758, usercpu_time_millis_testing: 2.88, usercpu_time_millis_training: 24.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.77, kappa: 0.4881, kb_relative_information_score: 245.9546, mean_absolute_error: 0.3143, 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: 0.6915, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8331, scimark_benchmark: 1267.8573, usercpu_time_millis: 29.274, usercpu_time_millis_testing: 3.006, usercpu_time_millis_training: 26.268,

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