OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 133465 runs submitted
0 likes downloaded by 11 people , 15 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:

133465 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: 0.8284, f_measure: 0.7527, kappa: 0.4479, kb_relative_information_score: 246.1442, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.752, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8355, scimark_benchmark: 1751.3544, usercpu_time_millis: 7.305, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 7.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.6477, kappa: 0.2153, kb_relative_information_score: 59.79, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6889, predictive_accuracy: 0.6953, prior_entropy: 0.9335, recall: 0.6953, relative_absolute_error: 0.9325, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9424, scimark_benchmark: 1803.6516, usercpu_time_millis: 1.581, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 1.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7624, kappa: 0.4674, kb_relative_information_score: 239.1958, mean_absolute_error: 0.3192, 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: 0.7024, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394, scimark_benchmark: 1750.8922, usercpu_time_millis: 8.673, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 8.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.7509, kappa: 0.4449, kb_relative_information_score: 248.0047, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7498, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8553, scimark_benchmark: 1755.4214, usercpu_time_millis: 13.454, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 13.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7548, kappa: 0.4499, kb_relative_information_score: 218.183, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.757, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8391, scimark_benchmark: 1872.4881, usercpu_time_millis: 1.889, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 1.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.6563, kappa: 0.2314, kb_relative_information_score: 72.2074, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6891, predictive_accuracy: 0.6979, prior_entropy: 0.9335, recall: 0.6979, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.933, scimark_benchmark: 1935.2583, usercpu_time_millis: 6.92, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 6.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.6701, kappa: 0.2683, kb_relative_information_score: 85.5726, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7372, predictive_accuracy: 0.7188, prior_entropy: 0.9335, recall: 0.7188, relative_absolute_error: 0.9093, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.9216, scimark_benchmark: 1874.5882, usercpu_time_millis: 7.667, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 7.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7272, kappa: 0.3853, kb_relative_information_score: 127.9957, mean_absolute_error: 0.3893, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7422, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.8888, scimark_benchmark: 1751.2961, usercpu_time_millis: 1.172, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 1.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5233, f_measure: 0.5134, kb_relative_information_score: -36.4907, mean_absolute_error: 0.4659, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0252, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4783, root_relative_squared_error: 1.0035, scimark_benchmark: 1749.9829, usercpu_time_millis: 1.034, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 1.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.7501, kappa: 0.4435, kb_relative_information_score: 263.2505, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7488, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8478, scimark_benchmark: 1754.1079, usercpu_time_millis: 22.847, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 22.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1750.7876, usercpu_time_millis: 12.572, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 12.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.765, kappa: 0.4734, kb_relative_information_score: 254.1057, mean_absolute_error: 0.3107, 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: 0.6837, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8318, scimark_benchmark: 1896.5172, usercpu_time_millis: 7.273, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 7.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1762.1986, usercpu_time_millis: 6.068, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 6.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7549, kappa: 0.4484, kb_relative_information_score: 171.34, mean_absolute_error: 0.3641, 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: 0.8011, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8593, scimark_benchmark: 1753.6457, usercpu_time_millis: 13.149, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 13.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7233, kappa: 0.3765, kb_relative_information_score: 162.5584, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7372, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.419, root_relative_squared_error: 0.879, scimark_benchmark: 1912.9038, usercpu_time_millis: 0.91, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1753.7072, usercpu_time_millis: 4.157, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 4.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7612, kappa: 0.4649, kb_relative_information_score: 237.5116, mean_absolute_error: 0.3205, 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: 0.7051, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8397, scimark_benchmark: 1872.4881, usercpu_time_millis: 4.251, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 4.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.5291, kappa: 0.0211, kb_relative_information_score: 68, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6589, predictive_accuracy: 0.6549, prior_entropy: 0.9335, recall: 0.6549, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.9314, scimark_benchmark: 1802.6997, usercpu_time_millis: 5.571, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 5.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.6918, kappa: 0.3075, kb_relative_information_score: 88.4156, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7199, predictive_accuracy: 0.7227, prior_entropy: 0.9335, recall: 0.7227, relative_absolute_error: 0.9022, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.9198, scimark_benchmark: 1750.8922, usercpu_time_millis: 6.728, usercpu_time_millis_testing: 0.002, usercpu_time_millis_training: 6.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.7603, kappa: 0.4615, kb_relative_information_score: 211.1987, mean_absolute_error: 0.3385, 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: 0.7447, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8478, scimark_benchmark: 1893.5669, usercpu_time_millis: 8.872, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 8.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7014, kappa: 0.3284, kb_relative_information_score: 133.6168, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7267, predictive_accuracy: 0.7292, prior_entropy: 0.9335, recall: 0.7292, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8868, scimark_benchmark: 1753.7072, usercpu_time_millis: 2.208, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 2.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7657, kappa: 0.4753, kb_relative_information_score: 248.0274, mean_absolute_error: 0.314, 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: 0.6909, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8355, scimark_benchmark: 1749.9829, usercpu_time_millis: 8.519, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 8.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.7351, kappa: 0.4033, kb_relative_information_score: 184.5775, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7444, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8531, scimark_benchmark: 1938.7574, usercpu_time_millis: 0.986, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1754.1079, usercpu_time_millis: 1.148, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 1.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7618, kappa: 0.4651, kb_relative_information_score: 224.1964, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7658, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8404, scimark_benchmark: 1736.0337, usercpu_time_millis: 7.932, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 7.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7166, kappa: 0.3614, kb_relative_information_score: 160.5887, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7315, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8797, scimark_benchmark: 1751.6968, usercpu_time_millis: 7.295, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 7.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.7432, kappa: 0.4213, kb_relative_information_score: 154.9958, mean_absolute_error: 0.3739, 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: 0.8227, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8717, scimark_benchmark: 1875.3104, usercpu_time_millis: 1.957, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 1.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.7627, kappa: 0.4666, kb_relative_information_score: 217.7907, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7675, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8382, scimark_benchmark: 1751.7584, usercpu_time_millis: 2.607, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 2.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7518, kappa: 0.4412, kb_relative_information_score: 188.4193, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7602, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7771, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8517, scimark_benchmark: 1873.4078, usercpu_time_millis: 2.125, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 2.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7607, kappa: 0.4621, kb_relative_information_score: 206.7653, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7663, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7537, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8426, scimark_benchmark: 1916.9622, usercpu_time_millis: 2.066, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 2.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.5134, kb_relative_information_score: 7.4461, mean_absolute_error: 0.4508, 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: 0.9919, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9666, scimark_benchmark: 1793.3301, usercpu_time_millis: 11.606, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 11.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.716, f_measure: 0.6457, kappa: 0.2112, kb_relative_information_score: 59.1792, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6871, predictive_accuracy: 0.694, prior_entropy: 0.9335, recall: 0.694, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9428, scimark_benchmark: 1750.4475, usercpu_time_millis: 8.49, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 8.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.6353, kappa: 0.193, kb_relative_information_score: 47.9266, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.689, predictive_accuracy: 0.6914, prior_entropy: 0.9335, recall: 0.6914, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9509, scimark_benchmark: 1753.6457, usercpu_time_millis: 0.87, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 0.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5435, f_measure: 0.5128, kappa: -0.0026, kb_relative_information_score: -33.4936, mean_absolute_error: 0.465, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4236, predictive_accuracy: 0.6497, prior_entropy: 0.9335, recall: 0.6497, relative_absolute_error: 1.0231, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0018, scimark_benchmark: 1871.5019, usercpu_time_millis: 1.325, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 1.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6268, f_measure: 0.5473, kappa: 0.0491, kb_relative_information_score: -6.2939, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6817, predictive_accuracy: 0.6615, prior_entropy: 0.9335, recall: 0.6615, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9868, scimark_benchmark: 1819.3707, usercpu_time_millis: 3.54, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 3.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1819.986, usercpu_time_millis: 2.672, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 2.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, f_measure: 0.5971, kappa: 0.1292, kb_relative_information_score: 28.2576, mean_absolute_error: 0.4402, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6948, predictive_accuracy: 0.6797, prior_entropy: 0.9335, recall: 0.6797, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9646, scimark_benchmark: 1823.9313, usercpu_time_millis: 3.751, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 3.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.761, kappa: 0.4635, kb_relative_information_score: 218.4489, mean_absolute_error: 0.3338, 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: 0.7346, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8403, scimark_benchmark: 1874.977, usercpu_time_millis: 0.868, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.7102, kappa: 0.3477, kb_relative_information_score: 105.5864, mean_absolute_error: 0.4012, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.734, predictive_accuracy: 0.7357, prior_entropy: 0.9335, recall: 0.7357, relative_absolute_error: 0.8827, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.9069, scimark_benchmark: 1916.7645, usercpu_time_millis: 5.23, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 5.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5134, kb_relative_information_score: 0.3373, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1753.3033, usercpu_time_millis: 7.173, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 7.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 255.1342, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1749.5206, usercpu_time_millis: 7.792, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 7.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, f_measure: 0.6555, kappa: 0.2308, kb_relative_information_score: 71.5293, mean_absolute_error: 0.4183, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6928, predictive_accuracy: 0.6992, prior_entropy: 0.9335, recall: 0.6992, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9334, scimark_benchmark: 1752.6238, usercpu_time_millis: 2.003, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 1.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7284, kappa: 0.3881, kb_relative_information_score: 127.5614, mean_absolute_error: 0.3894, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7469, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8904, scimark_benchmark: 1749.9829, usercpu_time_millis: 7.716, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 7.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.5968, kappa: 0.1259, kb_relative_information_score: 23.4102, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6817, predictive_accuracy: 0.6771, prior_entropy: 0.9335, recall: 0.6771, relative_absolute_error: 0.9729, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9679, scimark_benchmark: 1869.8223, usercpu_time_millis: 0.987, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7087, f_measure: 0.6315, kappa: 0.1898, kb_relative_information_score: 45.341, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.703, predictive_accuracy: 0.694, prior_entropy: 0.9335, recall: 0.694, relative_absolute_error: 0.9503, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.952, scimark_benchmark: 1749.5822, usercpu_time_millis: 8.491, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 8.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7625, kappa: 0.467, kb_relative_information_score: 233.991, mean_absolute_error: 0.323, 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: 0.7107, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8386, scimark_benchmark: 1752.1591, usercpu_time_millis: 1.632, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 1.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.6992, kappa: 0.3232, kb_relative_information_score: 99.936, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7226, predictive_accuracy: 0.7266, prior_entropy: 0.9335, recall: 0.7266, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.911, scimark_benchmark: 1753.7072, usercpu_time_millis: 6.394, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 6.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7635, kappa: 0.4699, kb_relative_information_score: 251.19, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8333, scimark_benchmark: 1749.9829, usercpu_time_millis: 6.094, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 6.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7602, kappa: 0.462, kb_relative_information_score: 229.405, mean_absolute_error: 0.3261, 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: 0.7174, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8398, scimark_benchmark: 1874.0573, usercpu_time_millis: 6.237, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 6.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.7598, kappa: 0.461, kb_relative_information_score: 228.7415, mean_absolute_error: 0.3266, 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: 0.7185, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8422, scimark_benchmark: 1875.7685, usercpu_time_millis: 7.306, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 7.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.6098, kappa: 0.1498, kb_relative_information_score: 26.6771, mean_absolute_error: 0.4405, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6919, predictive_accuracy: 0.6836, prior_entropy: 0.9335, recall: 0.6836, relative_absolute_error: 0.9693, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9656, scimark_benchmark: 1752.1591, usercpu_time_millis: 4.101, usercpu_time_millis_testing: 0.002, usercpu_time_millis_training: 4.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.6561, kappa: 0.2304, kb_relative_information_score: 71.3554, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6862, predictive_accuracy: 0.6966, prior_entropy: 0.9335, recall: 0.6966, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.445, root_relative_squared_error: 0.9337, scimark_benchmark: 1747.6991, usercpu_time_millis: 6.453, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 6.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.7076, kappa: 0.3412, kb_relative_information_score: 142.4352, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7197, predictive_accuracy: 0.7279, prior_entropy: 0.9335, recall: 0.7279, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8815, scimark_benchmark: 1753.3033, usercpu_time_millis: 3.326, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 3.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7624, kappa: 0.4674, kb_relative_information_score: 248.8113, mean_absolute_error: 0.3137, 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: 0.6902, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8348, scimark_benchmark: 1874.5882, usercpu_time_millis: 4.782, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 4.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.6913, kappa: 0.3084, kb_relative_information_score: 94.946, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.731, predictive_accuracy: 0.7266, prior_entropy: 0.9335, recall: 0.7266, relative_absolute_error: 0.8973, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.9119, scimark_benchmark: 1872.0299, usercpu_time_millis: 6.986, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 6.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1752.1591, usercpu_time_millis: 8.363, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 8.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7612, kappa: 0.4649, kb_relative_information_score: 238.8318, mean_absolute_error: 0.3195, 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: 0.703, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8395, scimark_benchmark: 1755.4795, usercpu_time_millis: 4.708, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 4.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.6778, kappa: 0.2824, kb_relative_information_score: 89.6358, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7336, predictive_accuracy: 0.7214, prior_entropy: 0.9335, recall: 0.7214, relative_absolute_error: 0.9048, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9166, scimark_benchmark: 1752.1591, usercpu_time_millis: 6.04, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 6.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.5134, kb_relative_information_score: -104.5039, mean_absolute_error: 0.4902, 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: 1.0786, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4912, root_relative_squared_error: 1.0306, scimark_benchmark: 1754.1079, usercpu_time_millis: 9.014, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 8.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1749.5206, usercpu_time_millis: 14.039, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 14.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7311, kappa: 0.3939, kb_relative_information_score: 140.1495, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7446, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.8414, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8811, scimark_benchmark: 1750.8922, usercpu_time_millis: 1.71, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 1.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7527, kappa: 0.4479, kb_relative_information_score: 239.5256, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.752, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6984, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8444, scimark_benchmark: 1759.2905, usercpu_time_millis: 1.829, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 1.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.7075, kappa: 0.3412, kb_relative_information_score: 106.6559, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7275, predictive_accuracy: 0.7318, prior_entropy: 0.9335, recall: 0.7318, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.9051, scimark_benchmark: 1873.4078, usercpu_time_millis: 7.314, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 7.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.7109, kappa: 0.3489, kb_relative_information_score: 108.3125, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7304, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.9038, scimark_benchmark: 1749.9829, usercpu_time_millis: 2.561, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 2.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.734, kappa: 0.4005, kb_relative_information_score: 134.7709, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7505, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.886, scimark_benchmark: 1756.6935, usercpu_time_millis: 1.187, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 1.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7639, kappa: 0.4709, kb_relative_information_score: 239.6169, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8393, scimark_benchmark: 1752.5633, usercpu_time_millis: 5.573, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 5.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1746.7349, usercpu_time_millis: 0.415, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.734, kappa: 0.4005, kb_relative_information_score: 136.4027, mean_absolute_error: 0.3843, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7505, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.8455, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8849, scimark_benchmark: 1765.6053, usercpu_time_millis: 0.785, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.5601, kappa: 0.0699, kb_relative_information_score: 6.4888, mean_absolute_error: 0.4501, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.694, predictive_accuracy: 0.6667, prior_entropy: 0.9335, recall: 0.6667, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9795, scimark_benchmark: 1753.3033, usercpu_time_millis: 2.296, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 2.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5328, f_measure: 0.5134, kb_relative_information_score: -34.9708, mean_absolute_error: 0.4655, 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: 1.0241, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.478, root_relative_squared_error: 1.0028, scimark_benchmark: 1750.3868, usercpu_time_millis: 1.448, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 1.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.7279, kappa: 0.387, kb_relative_information_score: 147.7115, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7475, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.8302, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8828, scimark_benchmark: 1746.2876, usercpu_time_millis: 8.594, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 8.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.5893, kappa: 0.1198, kb_relative_information_score: 53.4409, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7143, predictive_accuracy: 0.6797, prior_entropy: 0.9335, recall: 0.6797, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9458, scimark_benchmark: 1746.6883, usercpu_time_millis: 1.174, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 1.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.7468, kappa: 0.4297, kb_relative_information_score: 158.0993, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7588, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8677, scimark_benchmark: 1756.2894, usercpu_time_millis: 8.041, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 8.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.6382, kappa: 0.2007, kb_relative_information_score: 49.3036, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6986, predictive_accuracy: 0.6953, prior_entropy: 0.9335, recall: 0.6953, relative_absolute_error: 0.9446, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9499, scimark_benchmark: 1749.9829, usercpu_time_millis: 8.129, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 8.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7583, kappa: 0.4575, kb_relative_information_score: 219.11, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8442, scimark_benchmark: 1881.2481, usercpu_time_millis: 6.509, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 6.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.6436, kappa: 0.2089, kb_relative_information_score: 54.2374, mean_absolute_error: 0.4268, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6926, predictive_accuracy: 0.6953, prior_entropy: 0.9335, recall: 0.6953, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9464, scimark_benchmark: 1756.861, usercpu_time_millis: 6.948, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 6.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.6925, kappa: 0.3088, kb_relative_information_score: 99.4758, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7193, 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: 0.4333, root_relative_squared_error: 0.9091, scimark_benchmark: 1740.2238, usercpu_time_millis: 1.517, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 1.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.683, kappa: 0.291, kb_relative_information_score: 111.6368, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.726, predictive_accuracy: 0.7214, prior_entropy: 0.9335, recall: 0.7214, relative_absolute_error: 0.8742, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8989, scimark_benchmark: 1754.1079, usercpu_time_millis: 13.767, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 13.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7309, kappa: 0.4038, kb_relative_information_score: 266.7776, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7295, predictive_accuracy: 0.7331, prior_entropy: 0.9335, recall: 0.7331, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9367, scimark_benchmark: 1752.5067, usercpu_time_millis: 21.476, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 21.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.753, kappa: 0.4443, kb_relative_information_score: 185.5087, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7594, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7822, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.853, scimark_benchmark: 1752.1591, usercpu_time_millis: 1.73, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 1.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: -128.553, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.1001, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049, scimark_benchmark: 1754.5726, usercpu_time_millis: 5.149, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 5.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.7333, kappa: 0.4085, kb_relative_information_score: 266.2051, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7318, predictive_accuracy: 0.7357, prior_entropy: 0.9335, recall: 0.7357, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9297, scimark_benchmark: 1753.3033, usercpu_time_millis: 10.522, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 10.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7701, kappa: 0.4845, kb_relative_information_score: 250.9928, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7725, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1757.1439, usercpu_time_millis: 1.513, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 1.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.72, kappa: 0.3693, kb_relative_information_score: 116.675, mean_absolute_error: 0.3957, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7399, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8965, scimark_benchmark: 1838.6255, usercpu_time_millis: 3.515, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 3.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.7588, kappa: 0.4571, kb_relative_information_score: 194.1971, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7675, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7696, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8534, scimark_benchmark: 1925.5291, usercpu_time_millis: 4.777, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 4.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.622, f_measure: 0.5461, kappa: 0.0497, kb_relative_information_score: -9.9458, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7089, predictive_accuracy: 0.6628, prior_entropy: 0.9335, recall: 0.6628, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9887, scimark_benchmark: 1922.158, usercpu_time_millis: 0.487, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.7533, kappa: 0.4513, kb_relative_information_score: 240.7673, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.752, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8492, scimark_benchmark: 1757.1582, usercpu_time_millis: 10.143, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 10.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7627, kappa: 0.4684, kb_relative_information_score: 241.2927, mean_absolute_error: 0.3178, 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: 0.6993, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.839, scimark_benchmark: 1764.6832, usercpu_time_millis: 6.753, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 6.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.7584, kappa: 0.457, kb_relative_information_score: 209.0097, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7632, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8431, scimark_benchmark: 1910.8803, usercpu_time_millis: 1.113, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 1.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7561, kappa: 0.4514, kb_relative_information_score: 195.9259, mean_absolute_error: 0.3493, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7622, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7686, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8476, scimark_benchmark: 1758.1553, usercpu_time_millis: 2.661, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 2.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.7091, kappa: 0.3451, kb_relative_information_score: 113.8469, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.732, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.9014, scimark_benchmark: 1835.8539, usercpu_time_millis: 0.734, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.7399, kappa: 0.4139, kb_relative_information_score: 153.5922, mean_absolute_error: 0.3747, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7537, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8722, scimark_benchmark: 1750.8922, usercpu_time_millis: 7.94, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 7.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.7627, kappa: 0.4684, kb_relative_information_score: 240.7345, mean_absolute_error: 0.3181, 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: 0.7, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8396, scimark_benchmark: 1754.4723, usercpu_time_millis: 7.906, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 7.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.7671, kappa: 0.4776, kb_relative_information_score: 235.6571, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7697, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.7119, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8333, scimark_benchmark: 1930.889, usercpu_time_millis: 0.518, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.684, kappa: 0.2915, kb_relative_information_score: 110.928, mean_absolute_error: 0.3974, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7175, predictive_accuracy: 0.7188, prior_entropy: 0.9335, recall: 0.7188, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9018, scimark_benchmark: 1755.7867, usercpu_time_millis: 9.333, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 9.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.7573, kappa: 0.4564, kb_relative_information_score: 224.5875, mean_absolute_error: 0.3303, 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: 0.7267, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.834, scimark_benchmark: 1753.8883, usercpu_time_millis: 13.459, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 13.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.7526, kappa: 0.4438, kb_relative_information_score: 195.7343, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7575, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8488, scimark_benchmark: 1970.8743, usercpu_time_millis: 6.538, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 6.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7657, kappa: 0.4737, kb_relative_information_score: 232.6636, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7702, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8338, scimark_benchmark: 1750.7948, usercpu_time_millis: 5.157, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 5.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.7427, kappa: 0.4202, kb_relative_information_score: 145.7563, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7569, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8779, scimark_benchmark: 1749.9829, usercpu_time_millis: 5.77, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 5.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7498, kappa: 0.4425, kb_relative_information_score: 252.6589, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7486, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6785, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8503, scimark_benchmark: 1757.4543, usercpu_time_millis: 16.698, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 16.571,

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