OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131682 runs submitted
0 likes downloaded by 8 people , 10 total downloads 0 issues
Visibility: Public
  • 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
Issue #Downvotes for this reason By


Metric:

131682 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7693, kappa: 0.4895, kb_relative_information_score: 251.1951, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7684, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8381, scimark_benchmark: 1870.1619, usercpu_time_millis: 5.869, usercpu_time_millis_testing: 0.664, usercpu_time_millis_training: 5.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7448, kappa: 0.4265, kb_relative_information_score: 184.7895, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7487, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8516, scimark_benchmark: 1842.0678, usercpu_time_millis: 1.031, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 0.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7579, kappa: 0.4625, kb_relative_information_score: 256.3103, mean_absolute_error: 0.3038, 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: 0.6684, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8482, scimark_benchmark: 1869.7524, usercpu_time_millis: 7.68, usercpu_time_millis_testing: 0.631, usercpu_time_millis_training: 7.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7572, kappa: 0.4619, kb_relative_information_score: 253.5244, mean_absolute_error: 0.3046, 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: 0.6702, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8531, scimark_benchmark: 1860.4615, usercpu_time_millis: 9.554, usercpu_time_millis_testing: 0.857, usercpu_time_millis_training: 8.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7657, kappa: 0.4766, kb_relative_information_score: 223.8838, mean_absolute_error: 0.33, 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: 0.726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.8321, scimark_benchmark: 1786.3973, usercpu_time_millis: 1.095, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 0.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7517, kappa: 0.4517, kb_relative_information_score: 254.2272, mean_absolute_error: 0.3059, 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: 0.6731, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8441, scimark_benchmark: 1853.7803, usercpu_time_millis: 5.643, usercpu_time_millis_testing: 0.653, usercpu_time_millis_training: 4.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7613, kappa: 0.4676, kb_relative_information_score: 242.8421, mean_absolute_error: 0.3171, 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: 0.6976, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8257, scimark_benchmark: 1778.7347, usercpu_time_millis: 0.765, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 0.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7589, kappa: 0.4613, kb_relative_information_score: 199.6007, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7587, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8423, scimark_benchmark: 1868.7112, usercpu_time_millis: 4.92, usercpu_time_millis_testing: 0.684, usercpu_time_millis_training: 4.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7296, kappa: 0.391, kb_relative_information_score: 136.0636, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.752, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.8782, scimark_benchmark: 1843.9327, usercpu_time_millis: 0.484, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7701, kappa: 0.4901, kb_relative_information_score: 245.456, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.769, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6913, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8331, scimark_benchmark: 1848.1564, usercpu_time_millis: 7.821, usercpu_time_millis_testing: 0.95, usercpu_time_millis_training: 6.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.7409, kappa: 0.4193, kb_relative_information_score: 183.4774, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7415, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8596, scimark_benchmark: 787.9046, usercpu_time_millis: 5.298, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 4.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 217.8551, mean_absolute_error: 0.334, 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: 0.7349, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1820.6244, usercpu_time_millis: 0.915, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.767, kappa: 0.4825, kb_relative_information_score: 257.9262, mean_absolute_error: 0.3039, 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: 0.6687, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8398, scimark_benchmark: 1859.8843, usercpu_time_millis: 4.788, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 4.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7631, kappa: 0.4742, kb_relative_information_score: 250.5144, mean_absolute_error: 0.3106, 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: 0.6834, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8344, scimark_benchmark: 1868.1466, usercpu_time_millis: 7.344, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 6.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7642, kappa: 0.4744, kb_relative_information_score: 240.4735, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7634, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8324, scimark_benchmark: 1783.6561, usercpu_time_millis: 7.53, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 6.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7342, kappa: 0.4081, kb_relative_information_score: 178.3331, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7326, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8729, scimark_benchmark: 1820.2319, usercpu_time_millis: 0.498, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7657, kappa: 0.4753, kb_relative_information_score: 225.7994, mean_absolute_error: 0.3283, 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: 0.7224, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8335, scimark_benchmark: 1837.3693, usercpu_time_millis: 4.161, usercpu_time_millis_testing: 0.598, usercpu_time_millis_training: 3.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.5134, kb_relative_information_score: 0.2721, 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: 0.9995, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1819.8072, usercpu_time_millis: 0.565, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7518, kappa: 0.4423, kb_relative_information_score: 161.8664, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7559, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.8093, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.859, scimark_benchmark: 788.5778, usercpu_time_millis: 5.1, usercpu_time_millis_testing: 0.699, usercpu_time_millis_training: 4.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.7486, kappa: 0.4363, kb_relative_information_score: 190.254, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7499, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7715, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8526, scimark_benchmark: 1829.1555, usercpu_time_millis: 0.287, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7463, kappa: 0.4313, kb_relative_information_score: 213.9481, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7471, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.7397, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.836, scimark_benchmark: 788.5077, usercpu_time_millis: 5.251, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 4.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.5134, kb_relative_information_score: -0.3648, 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: 1805.6343, usercpu_time_millis: 0.27, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7688, kappa: 0.4856, kb_relative_information_score: 248.0788, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7679, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8257, scimark_benchmark: 1847.7693, usercpu_time_millis: 1.622, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 1.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7646, kappa: 0.4775, kb_relative_information_score: 245.0577, mean_absolute_error: 0.3137, 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: 0.6902, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8364, scimark_benchmark: 1817.3164, usercpu_time_millis: 9.264, usercpu_time_millis_testing: 1.074, usercpu_time_millis_training: 8.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7654, kappa: 0.4757, kb_relative_information_score: 221.3346, mean_absolute_error: 0.331, 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: 0.7282, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8366, scimark_benchmark: 1833.5534, usercpu_time_millis: 0.252, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7603, kappa: 0.4634, kb_relative_information_score: 227.5917, mean_absolute_error: 0.3276, 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: 0.7207, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8312, scimark_benchmark: 1871.4349, usercpu_time_millis: 1.366, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 1.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.055, 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: 0.9999, 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: 0.874, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 0.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0415, 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: 0.9999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1859.9421, usercpu_time_millis: 1.273, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.7655, kappa: 0.4791, kb_relative_information_score: 257.1146, mean_absolute_error: 0.3061, 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: 0.6735, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8289, scimark_benchmark: 1816.4421, usercpu_time_millis: 3.275, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 2.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7588, kappa: 0.4576, kb_relative_information_score: 171.9378, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7651, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8554, scimark_benchmark: 1821.1761, usercpu_time_millis: 1.022, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 0.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.7589, kappa: 0.4613, kb_relative_information_score: 194.5772, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7587, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.845, scimark_benchmark: 1856.3001, usercpu_time_millis: 2.872, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 2.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7495, kappa: 0.4372, kb_relative_information_score: 196.4703, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7529, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8422, scimark_benchmark: 1838.1863, usercpu_time_millis: 1.426, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 1.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7624, kappa: 0.4714, kb_relative_information_score: 243.0177, mean_absolute_error: 0.3161, 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: 0.6955, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8319, scimark_benchmark: 1841.5568, usercpu_time_millis: 2.84, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 2.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7503, kappa: 0.4387, kb_relative_information_score: 191.8839, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7545, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8435, scimark_benchmark: 1847.1943, usercpu_time_millis: 1.866, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 1.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7621, kappa: 0.4704, kb_relative_information_score: 247.1123, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7611, 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: 0.3936, root_relative_squared_error: 0.8258, scimark_benchmark: 1867.1999, usercpu_time_millis: 4.413, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 3.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.7675, kappa: 0.481, kb_relative_information_score: 229.9724, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7671, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8287, scimark_benchmark: 1818.3628, usercpu_time_millis: 5.862, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 5.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7662, kappa: 0.4797, kb_relative_information_score: 229.6229, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7652, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7152, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.833, scimark_benchmark: 1856.9853, usercpu_time_millis: 12.173, usercpu_time_millis_testing: 1.806, usercpu_time_millis_training: 10.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7634, kappa: 0.4751, kb_relative_information_score: 247.4935, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7622, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6884, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8328, scimark_benchmark: 1808.7098, usercpu_time_millis: 9.034, usercpu_time_millis_testing: 1.007, usercpu_time_millis_training: 8.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7655, kappa: 0.4791, kb_relative_information_score: 242.3338, mean_absolute_error: 0.3168, 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: 0.6971, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8327, scimark_benchmark: 1850.5146, usercpu_time_millis: 8.641, usercpu_time_millis_testing: 1.017, usercpu_time_millis_training: 7.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7567, kappa: 0.46, kb_relative_information_score: 239.5597, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7554, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8402, scimark_benchmark: 1782.7618, usercpu_time_millis: 15.862, usercpu_time_millis_testing: 2.303, usercpu_time_millis_training: 13.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.766, kappa: 0.4809, kb_relative_information_score: 254.5986, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7649, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8286, scimark_benchmark: 1837.6808, usercpu_time_millis: 8.921, usercpu_time_millis_testing: 0.987, usercpu_time_millis_training: 7.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7618, kappa: 0.4668, kb_relative_information_score: 214.2873, mean_absolute_error: 0.335, 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: 0.7372, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8422, scimark_benchmark: 1862.3345, usercpu_time_millis: 3.477, usercpu_time_millis_testing: 0.494, usercpu_time_millis_training: 2.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.7605, kappa: 0.4683, kb_relative_information_score: 249.9415, mean_absolute_error: 0.3125, 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: 0.6876, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.8273, scimark_benchmark: 1868.7112, usercpu_time_millis: 2.84, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 2.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7603, kappa: 0.4696, kb_relative_information_score: 253.2488, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7593, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6764, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8387, scimark_benchmark: 1862.5409, usercpu_time_millis: 6.868, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 6.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5134, kb_relative_information_score: 0.2351, 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: 1778.6747, usercpu_time_millis: 0.371, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7651, kappa: 0.476, kb_relative_information_score: 236.4146, mean_absolute_error: 0.3214, 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: 0.7071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.8284, scimark_benchmark: 1871.576, usercpu_time_millis: 3.675, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 3.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7677, kappa: 0.4852, kb_relative_information_score: 249.4223, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7666, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6825, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8395, scimark_benchmark: 1849.9203, usercpu_time_millis: 9.057, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 8.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.772, kappa: 0.4933, kb_relative_information_score: 248.1703, mean_absolute_error: 0.3132, 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: 0.6891, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.8239, scimark_benchmark: 1859.5577, usercpu_time_millis: 4.975, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 4.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.7334, kappa: 0.3994, kb_relative_information_score: 129.9262, mean_absolute_error: 0.3884, 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: 0.8547, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.8864, scimark_benchmark: 788.7237, usercpu_time_millis: 0.527, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: -0.0792, 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: 1806.1899, usercpu_time_millis: 0.613, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 0.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7681, kappa: 0.4849, kb_relative_information_score: 247.5774, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7671, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6902, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.8283, scimark_benchmark: 1869.1029, usercpu_time_millis: 7.02, usercpu_time_millis_testing: 0.86, usercpu_time_millis_training: 6.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7624, kappa: 0.4701, kb_relative_information_score: 200.4185, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7618, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8436, scimark_benchmark: 1773.338, usercpu_time_millis: 7.578, usercpu_time_millis_testing: 1.083, usercpu_time_millis_training: 6.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7665, kappa: 0.4827, kb_relative_information_score: 249.1253, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6834, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.839, scimark_benchmark: 1845.7902, usercpu_time_millis: 8.732, usercpu_time_millis_testing: 0.754, usercpu_time_millis_training: 7.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7612, kappa: 0.4711, kb_relative_information_score: 258.0627, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7602, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.842, scimark_benchmark: 1782.7937, usercpu_time_millis: 9.119, usercpu_time_millis_testing: 0.897, usercpu_time_millis_training: 8.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7646, kappa: 0.4775, kb_relative_information_score: 248.2404, mean_absolute_error: 0.3128, 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: 0.6883, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8318, scimark_benchmark: 1821.5752, usercpu_time_millis: 1.478, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 1.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7648, kappa: 0.4785, kb_relative_information_score: 259.6942, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7637, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8421, scimark_benchmark: 1869.2942, usercpu_time_millis: 13.586, usercpu_time_millis_testing: 1.247, usercpu_time_millis_training: 12.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.7631, kappa: 0.4742, kb_relative_information_score: 243.091, mean_absolute_error: 0.3162, 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: 0.6957, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.832, scimark_benchmark: 1860.1976, usercpu_time_millis: 10.437, usercpu_time_millis_testing: 1.317, usercpu_time_millis_training: 9.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7638, kappa: 0.4748, kb_relative_information_score: 237.5116, mean_absolute_error: 0.3204, 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: 0.705, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8308, scimark_benchmark: 1872.9496, usercpu_time_millis: 7.758, usercpu_time_millis_testing: 0.995, usercpu_time_millis_training: 6.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7629, kappa: 0.4732, kb_relative_information_score: 230.7659, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7617, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7117, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8363, scimark_benchmark: 1872.4881, usercpu_time_millis: 7.356, usercpu_time_millis_testing: 0.985, usercpu_time_millis_training: 6.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.7402, kappa: 0.4146, kb_relative_information_score: 144.2101, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7595, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8737, scimark_benchmark: 1829.3299, usercpu_time_millis: 1.337, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 1.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.756, kappa: 0.4524, kb_relative_information_score: 195.0274, mean_absolute_error: 0.3484, 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: 0.7665, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8449, scimark_benchmark: 1838.2134, usercpu_time_millis: 2.266, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 1.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.7645, kappa: 0.4754, kb_relative_information_score: 227.5782, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7179, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8325, scimark_benchmark: 1838.2567, usercpu_time_millis: 1.256, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 1.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.7574, kappa: 0.4592, kb_relative_information_score: 206.7074, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7565, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8454, scimark_benchmark: 1869.1727, usercpu_time_millis: 11.521, usercpu_time_millis_testing: 1.807, usercpu_time_millis_training: 9.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.6942, kappa: 0.315, kb_relative_information_score: 122.8161, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.735, predictive_accuracy: 0.7292, prior_entropy: 0.9335, recall: 0.7292, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8899, scimark_benchmark: 1863.4543, usercpu_time_millis: 1.682, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 1.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7666, kappa: 0.4794, kb_relative_information_score: 247.1168, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.766, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.8254, scimark_benchmark: 1863.9794, usercpu_time_millis: 5.412, usercpu_time_millis_testing: 0.529, usercpu_time_millis_training: 4.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7716, kappa: 0.4903, kb_relative_information_score: 218.7261, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7713, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.7332, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8317, scimark_benchmark: 1872.3546, usercpu_time_millis: 5.904, usercpu_time_millis_testing: 0.822, usercpu_time_millis_training: 5.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7541, kappa: 0.4542, kb_relative_information_score: 240.9181, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7528, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.6956, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.841, scimark_benchmark: 1858.6775, usercpu_time_millis: 15.087, usercpu_time_millis_testing: 2.118, usercpu_time_millis_training: 12.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7573, kappa: 0.4606, kb_relative_information_score: 244.5908, mean_absolute_error: 0.3152, 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: 0.6935, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8325, scimark_benchmark: 1865.2545, usercpu_time_millis: 7.961, usercpu_time_millis_testing: 0.82, usercpu_time_millis_training: 7.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7616, kappa: 0.4672, kb_relative_information_score: 224.5614, mean_absolute_error: 0.3293, 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: 0.7245, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8334, scimark_benchmark: 1856.7467, usercpu_time_millis: 3.973, usercpu_time_millis_testing: 0.557, usercpu_time_millis_training: 3.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7686, kappa: 0.4868, kb_relative_information_score: 248.1476, mean_absolute_error: 0.3124, 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: 0.6875, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8336, scimark_benchmark: 1859.4881, usercpu_time_millis: 6.814, usercpu_time_millis_testing: 0.888, usercpu_time_millis_training: 5.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7603, kappa: 0.4634, kb_relative_information_score: 194.1174, mean_absolute_error: 0.3478, 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: 0.7652, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8445, scimark_benchmark: 1854.1655, usercpu_time_millis: 5.077, usercpu_time_millis_testing: 0.748, usercpu_time_millis_training: 4.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.767, kappa: 0.4825, kb_relative_information_score: 260.8969, mean_absolute_error: 0.3021, 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: 0.6647, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.836, scimark_benchmark: 1864.0522, usercpu_time_millis: 9.188, usercpu_time_millis_testing: 0.833, usercpu_time_millis_training: 8.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7643, kappa: 0.4766, kb_relative_information_score: 241.5597, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7632, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.833, scimark_benchmark: 1865.1205, usercpu_time_millis: 10.944, usercpu_time_millis_testing: 1.407, usercpu_time_millis_training: 9.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7635, kappa: 0.4738, kb_relative_information_score: 243.4141, mean_absolute_error: 0.3164, 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: 0.6961, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8303, scimark_benchmark: 1979.4832, usercpu_time_millis: 7.316, usercpu_time_millis_testing: 0.711, usercpu_time_millis_training: 6.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7598, kappa: 0.4677, kb_relative_information_score: 249.8421, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7587, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8401, scimark_benchmark: 1872.0237, usercpu_time_millis: 15.797, usercpu_time_millis_testing: 1.331, usercpu_time_millis_training: 14.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7639, kappa: 0.4769, kb_relative_information_score: 253.6224, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7628, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8446, scimark_benchmark: 1870.4029, usercpu_time_millis: 11.643, usercpu_time_millis_testing: 0.987, usercpu_time_millis_training: 10.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7657, kappa: 0.4779, kb_relative_information_score: 227.0811, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7648, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7216, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8343, scimark_benchmark: 1860.4615, usercpu_time_millis: 0.816, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7598, kappa: 0.4642, kb_relative_information_score: 237.0479, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7591, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7064, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8303, scimark_benchmark: 1867.725, usercpu_time_millis: 4.463, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 3.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7422, kappa: 0.4194, kb_relative_information_score: 162.6058, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7519, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8616, scimark_benchmark: 1862.5409, usercpu_time_millis: 0.334, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7591, kappa: 0.4608, kb_relative_information_score: 217.15, mean_absolute_error: 0.3338, 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: 0.7344, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8387, scimark_benchmark: 1861.8971, usercpu_time_millis: 1.2, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 1.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7636, kappa: 0.4726, kb_relative_information_score: 200.8937, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7631, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8427, scimark_benchmark: 1864.6011, usercpu_time_millis: 9.292, usercpu_time_millis_testing: 1.431, usercpu_time_millis_training: 7.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7591, kappa: 0.4649, kb_relative_information_score: 245.1681, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7578, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8347, scimark_benchmark: 1865.6428, usercpu_time_millis: 5.828, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 5.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.767, kappa: 0.4825, kb_relative_information_score: 245.0321, mean_absolute_error: 0.3155, 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: 0.6941, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8264, scimark_benchmark: 1864.2071, usercpu_time_millis: 7.138, usercpu_time_millis_testing: 0.944, usercpu_time_millis_training: 6.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.7645, kappa: 0.4754, kb_relative_information_score: 227.7355, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7194, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8297, scimark_benchmark: 1871.8323, usercpu_time_millis: 5.6, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 4.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7657, kappa: 0.4779, kb_relative_information_score: 207.0622, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7648, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8367, scimark_benchmark: 1941.2663, usercpu_time_millis: 3.726, usercpu_time_millis_testing: 0.499, usercpu_time_millis_training: 3.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.763, kappa: 0.4707, kb_relative_information_score: 196.8057, mean_absolute_error: 0.3461, 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: 0.7614, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8425, scimark_benchmark: 1862.478, usercpu_time_millis: 5.46, usercpu_time_millis_testing: 1.002, usercpu_time_millis_training: 4.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7618, kappa: 0.4668, kb_relative_information_score: 226.1405, mean_absolute_error: 0.328, 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: 0.7217, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8344, scimark_benchmark: 1867.0876, usercpu_time_millis: 3.003, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 2.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7635, kappa: 0.4738, kb_relative_information_score: 246.5573, mean_absolute_error: 0.3136, 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: 0.6901, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8294, scimark_benchmark: 1856.7467, usercpu_time_millis: 3.588, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 3.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7479, kappa: 0.4342, kb_relative_information_score: 207.9466, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7499, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8364, scimark_benchmark: 1867.725, usercpu_time_millis: 3.234, usercpu_time_millis_testing: 0.578, usercpu_time_millis_training: 2.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7622, kappa: 0.4726, kb_relative_information_score: 259.7363, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.761, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8373, scimark_benchmark: 1874.4489, usercpu_time_millis: 8.938, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 8.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7654, kappa: 0.4769, kb_relative_information_score: 241.7508, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7647, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.8261, scimark_benchmark: 2145.6743, usercpu_time_millis: 4.983, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 4.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7638, kappa: 0.4748, kb_relative_information_score: 249.2126, mean_absolute_error: 0.3122, 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: 0.6868, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8288, scimark_benchmark: 1867.1999, usercpu_time_millis: 1.58, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 1.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7565, kappa: 0.4563, kb_relative_information_score: 202.2945, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7561, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8438, scimark_benchmark: 1863.4543, usercpu_time_millis: 7.501, usercpu_time_millis_testing: 1.138, usercpu_time_millis_training: 6.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7641, kappa: 0.4757, kb_relative_information_score: 246.0911, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7629, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6917, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8294, scimark_benchmark: 1730.117, usercpu_time_millis: 10.049, usercpu_time_millis_testing: 1.124, usercpu_time_millis_training: 8.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7555, kappa: 0.4599, kb_relative_information_score: 249.4873, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7547, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8489, scimark_benchmark: 1863.4543, usercpu_time_millis: 6.224, usercpu_time_millis_testing: 0.743, usercpu_time_millis_training: 5.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.7548, kappa: 0.4533, kb_relative_information_score: 206.5941, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7538, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8461, scimark_benchmark: 1857.66, usercpu_time_millis: 13.766, usercpu_time_millis_testing: 2.273, usercpu_time_millis_training: 11.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0124, 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: 0.9999, 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: 0.665, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 0.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7496, kappa: 0.4394, kb_relative_information_score: 212.7174, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.75, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.739, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.841, scimark_benchmark: 1865.6428, usercpu_time_millis: 2.316, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 2.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7701, kappa: 0.4869, kb_relative_information_score: 239.2145, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7699, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.8269, scimark_benchmark: 1872.4956, usercpu_time_millis: 3.524, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 3.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7367, kappa: 0.4082, kb_relative_information_score: 164.328, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.74, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8679, scimark_benchmark: 1856.0551, usercpu_time_millis: 1.577, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 1.347,

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