Task
Supervised Classification on ilpd

Supervised Classification on ilpd

Task 145848 Supervised Classification ilpd 29462 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

29462 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: 0.695, f_measure: 0.5934, kappa: -0.0034, kb_relative_information_score: 13.0353, mean_absolute_error: 0.3955, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5088, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.9796, scimark_benchmark: 1869.1727, usercpu_time_millis: 0.823, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, f_measure: 0.5926, kappa: -0.0068, kb_relative_information_score: -0.3023, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5085, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9995, scimark_benchmark: 1873.9387, usercpu_time_millis: 0.637, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.5901, kappa: -0.0169, kb_relative_information_score: 11.1561, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5074, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.9651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.9812, scimark_benchmark: 1825.8105, usercpu_time_millis: 0.646, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5983, f_measure: 0.5974, kappa: 0.0051, kb_relative_information_score: 0.7588, mean_absolute_error: 0.4029, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6529, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.9914, scimark_benchmark: 1775.342, usercpu_time_millis: 0.651, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6468, f_measure: 0.5934, kappa: -0.0034, kb_relative_information_score: 10.3639, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5088, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.9732, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9827, scimark_benchmark: 1841.3991, usercpu_time_millis: 0.649, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6799, f_measure: 0.5943, kb_relative_information_score: 10.7069, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9711, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9794, scimark_benchmark: 1774.7419, usercpu_time_millis: 0.624, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.597, kappa: -0.0034, kb_relative_information_score: 6.8567, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5804, predictive_accuracy: 0.7067, prior_entropy: 0.8651, recall: 0.7067, relative_absolute_error: 0.9771, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9888, scimark_benchmark: 1803.9314, usercpu_time_millis: 0.709, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6518, f_measure: 0.5943, kb_relative_information_score: 12.4698, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.9817, scimark_benchmark: 1794.9452, usercpu_time_millis: 0.66, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.6111, kappa: 0.0318, kb_relative_information_score: 18.2738, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6915, predictive_accuracy: 0.717, prior_entropy: 0.8651, recall: 0.717, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.9741, scimark_benchmark: 1791.8627, usercpu_time_millis: 0.861, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6429, f_measure: 0.5943, kb_relative_information_score: 7.3101, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9842, scimark_benchmark: 1795.8873, usercpu_time_millis: 0.896, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, f_measure: 0.5943, kb_relative_information_score: 8.4551, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9784, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.985, scimark_benchmark: 1780.5591, usercpu_time_millis: 0.656, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5996, f_measure: 0.6046, kappa: 0.0133, kb_relative_information_score: 6.8525, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6251, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9891, scimark_benchmark: 1744.4527, usercpu_time_millis: 0.712, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.5987, kappa: 0.0033, kb_relative_information_score: 3.9091, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.605, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9945, scimark_benchmark: 1748.6852, usercpu_time_millis: 0.815, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5392, f_measure: 0.6149, kappa: 0.0401, kb_relative_information_score: 12.9842, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.7044, predictive_accuracy: 0.7187, prior_entropy: 0.8651, recall: 0.7187, relative_absolute_error: 0.9778, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9884, scimark_benchmark: 1742.4969, usercpu_time_millis: 1.324, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.5943, kb_relative_information_score: 8.5971, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.9832, scimark_benchmark: 1752.7851, usercpu_time_millis: 0.671, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6373, f_measure: 0.6291, kappa: 0.0669, kb_relative_information_score: 20.7578, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6916, predictive_accuracy: 0.7204, prior_entropy: 0.8651, recall: 0.7204, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.9742, scimark_benchmark: 1748.66, usercpu_time_millis: 0.824, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, f_measure: 0.5943, kb_relative_information_score: 7.8475, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9792, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9857, scimark_benchmark: 1017.4384, usercpu_time_millis: 1.529, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 1.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, f_measure: 0.6177, kappa: 0.0505, kb_relative_information_score: 17.914, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.8009, predictive_accuracy: 0.7238, prior_entropy: 0.8651, recall: 0.7238, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9814, scimark_benchmark: 1079.619, usercpu_time_millis: 2.263, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 2.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6842, f_measure: 0.6017, kappa: 0.0083, kb_relative_information_score: 20.7834, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6175, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9685, scimark_benchmark: 1024.8349, usercpu_time_millis: 2.24, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 2.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6703, f_measure: 0.5901, kappa: -0.0169, kb_relative_information_score: 4.4712, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5074, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.9628, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.9832, scimark_benchmark: 1792.91, usercpu_time_millis: 5.419, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 5.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.5943, kb_relative_information_score: 18.7183, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9532, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.441, root_relative_squared_error: 0.9754, scimark_benchmark: 1866.1009, usercpu_time_millis: 0.667, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5771, f_measure: 0.5926, kappa: -0.0068, kb_relative_information_score: -0.9228, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5085, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4525, root_relative_squared_error: 1.001, scimark_benchmark: 1766.9142, usercpu_time_millis: 0.681, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.5931, kappa: -0.0118, kb_relative_information_score: 11.4137, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5488, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9829, scimark_benchmark: 1799.206, usercpu_time_millis: 0.722, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.5987, kappa: 0.0033, kb_relative_information_score: 16.5593, mean_absolute_error: 0.3913, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.605, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.9779, scimark_benchmark: 1801.1272, usercpu_time_millis: 0.641, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.5943, kb_relative_information_score: 13.8224, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.9782, scimark_benchmark: 1734.8748, usercpu_time_millis: 0.845, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6173, f_measure: 0.6249, kappa: 0.0533, kb_relative_information_score: 14.5873, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6584, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.9866, scimark_benchmark: 1755.3628, usercpu_time_millis: 1.12, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 1.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.5943, kb_relative_information_score: 13.8055, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.9782, scimark_benchmark: 1752.969, usercpu_time_millis: 0.628, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, f_measure: 0.5943, kb_relative_information_score: 7.5665, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.9863, scimark_benchmark: 1799.2337, usercpu_time_millis: 0.655, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6223, f_measure: 0.5974, kappa: 0.0051, kb_relative_information_score: 6.2105, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6529, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.9859, scimark_benchmark: 1789.5233, usercpu_time_millis: 0.681, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.5934, kappa: -0.0034, kb_relative_information_score: 11.7789, mean_absolute_error: 0.3966, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5088, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.9695, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.9813, scimark_benchmark: 1751.6968, usercpu_time_millis: 0.86, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.5943, kb_relative_information_score: 10.7651, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.984, scimark_benchmark: 1067.8312, usercpu_time_millis: 1.141, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.5957, kappa: -0.0017, kb_relative_information_score: 2.4084, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5806, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9931, scimark_benchmark: 1759.235, usercpu_time_millis: 0.815, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.5931, kappa: -0.0118, kb_relative_information_score: 10.563, mean_absolute_error: 0.3898, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5488, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.9756, scimark_benchmark: 1856.624, usercpu_time_millis: 5.091, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 5.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7072, f_measure: 0.6115, kappa: 0.0193, kb_relative_information_score: 27.0006, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6155, predictive_accuracy: 0.7033, prior_entropy: 0.8651, recall: 0.7033, relative_absolute_error: 0.9321, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9632, scimark_benchmark: 1749.9246, usercpu_time_millis: 0.809, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6296, f_measure: 0.5934, kappa: -0.0034, kb_relative_information_score: 5.8079, mean_absolute_error: 0.4017, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5088, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9862, scimark_benchmark: 1242.4369, usercpu_time_millis: 0.862, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, f_measure: 0.5974, kappa: 0.0051, kb_relative_information_score: 11.9838, mean_absolute_error: 0.3968, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6529, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9699, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.98, scimark_benchmark: 1742.2177, usercpu_time_millis: 0.829, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.5943, kb_relative_information_score: 9.8844, mean_absolute_error: 0.3992, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.444, root_relative_squared_error: 0.9821, scimark_benchmark: 1860.7227, usercpu_time_millis: 0.645, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6485, f_measure: 0.6008, kappa: 0.0049, kb_relative_information_score: -18.9264, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6052, predictive_accuracy: 0.7084, prior_entropy: 0.8651, recall: 0.7084, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.9831, scimark_benchmark: 1748.0598, usercpu_time_millis: 0.639, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6651, f_measure: 0.5943, kb_relative_information_score: 9.8494, mean_absolute_error: 0.3992, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9757, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.9832, scimark_benchmark: 1756.754, usercpu_time_millis: 2.619, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 2.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.5918, kappa: -0.0102, kb_relative_information_score: 9.3214, mean_absolute_error: 0.3937, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5081, predictive_accuracy: 0.7084, prior_entropy: 0.8651, recall: 0.7084, relative_absolute_error: 0.9623, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9798, scimark_benchmark: 1748.66, usercpu_time_millis: 1.567, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 1.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.5943, kb_relative_information_score: 12.651, mean_absolute_error: 0.3947, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9647, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9792, scimark_benchmark: 1871.5019, usercpu_time_millis: 0.713, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.5943, kb_relative_information_score: 8.7598, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9742, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.9835, scimark_benchmark: 1782.6001, usercpu_time_millis: 0.672, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.5943, kb_relative_information_score: 7.2098, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.9835, scimark_benchmark: 1799.8004, usercpu_time_millis: 1.345, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 1.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.5943, kb_relative_information_score: 11.884, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.9784, scimark_benchmark: 1712.1651, usercpu_time_millis: 0.824, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.5943, kb_relative_information_score: 7.7563, mean_absolute_error: 0.3994, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.9838, scimark_benchmark: 1761.3357, usercpu_time_millis: 1.32, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 1.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.5934, kappa: -0.0034, kb_relative_information_score: 12.5347, mean_absolute_error: 0.3959, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5088, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.9801, scimark_benchmark: 1867.725, usercpu_time_millis: 0.828, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5242, f_measure: 0.6177, kappa: 0.0505, kb_relative_information_score: 18.9906, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.8009, predictive_accuracy: 0.7238, prior_entropy: 0.8651, recall: 0.7238, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9814, scimark_benchmark: 1871.2001, usercpu_time_millis: 1.369, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6511, f_measure: 0.5934, kappa: -0.0034, kb_relative_information_score: 10.1792, mean_absolute_error: 0.3978, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5088, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.9724, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.444, root_relative_squared_error: 0.982, scimark_benchmark: 1868.5777, usercpu_time_millis: 1.064, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 1.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5615, f_measure: 0.5926, kappa: -0.0068, kb_relative_information_score: -0.0298, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5085, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9993, scimark_benchmark: 1831.9134, usercpu_time_millis: 0.627, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.5966, kappa: 0.0017, kb_relative_information_score: 18.0507, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6048, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.9546, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9706, scimark_benchmark: 1791.3702, usercpu_time_millis: 0.574, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.5948, kappa: -0.0051, kb_relative_information_score: 9.63, mean_absolute_error: 0.3965, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5659, predictive_accuracy: 0.7084, prior_entropy: 0.8651, recall: 0.7084, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.9844, scimark_benchmark: 1814.5684, usercpu_time_millis: 0.614, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.5966, kappa: 0.0017, kb_relative_information_score: 17.4023, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6048, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.9652, scimark_benchmark: 1799.0426, usercpu_time_millis: 0.538, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6486, f_measure: 0.6252, kappa: 0.0511, kb_relative_information_score: 20.644, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6472, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.9625, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9799, scimark_benchmark: 1795.6349, usercpu_time_millis: 1.103, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 1.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.5934, kappa: -0.0034, kb_relative_information_score: 6.6581, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5088, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.445, root_relative_squared_error: 0.9842, scimark_benchmark: 1742.0962, usercpu_time_millis: 1.049, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7079, f_measure: 0.6164, kappa: 0.0287, kb_relative_information_score: 26.4781, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6226, predictive_accuracy: 0.7033, prior_entropy: 0.8651, recall: 0.7033, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.436, root_relative_squared_error: 0.9643, scimark_benchmark: 1753.7072, usercpu_time_millis: 0.747, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.5943, kappa: -0.0134, kb_relative_information_score: 18.0893, mean_absolute_error: 0.3872, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5598, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.9752, scimark_benchmark: 1074.9882, usercpu_time_millis: 1.065, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6362, f_measure: 0.5934, kappa: -0.0034, kb_relative_information_score: 4.4408, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5088, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9909, scimark_benchmark: 1863.4543, usercpu_time_millis: 0.848, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, f_measure: 0.5934, kappa: -0.0034, kb_relative_information_score: 9.5646, mean_absolute_error: 0.3959, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5088, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.9678, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9802, scimark_benchmark: 1791.2761, usercpu_time_millis: 0.591, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, f_measure: 0.5918, kappa: -0.0102, kb_relative_information_score: 4.6329, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5081, predictive_accuracy: 0.7084, prior_entropy: 0.8651, recall: 0.7084, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9908, scimark_benchmark: 1782.7465, usercpu_time_millis: 0.685, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.5996, kappa: 0.0067, kb_relative_information_score: 2.6083, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6244, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.9859, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9949, scimark_benchmark: 1808.7118, usercpu_time_millis: 0.841, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.703, f_measure: 0.5987, kappa: 0.0033, kb_relative_information_score: 16.5191, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.605, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.9567, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.9779, scimark_benchmark: 1776.8228, usercpu_time_millis: 0.648, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.6092, kappa: 0.0196, kb_relative_information_score: 24.8276, mean_absolute_error: 0.3829, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6259, predictive_accuracy: 0.7084, prior_entropy: 0.8651, recall: 0.7084, relative_absolute_error: 0.936, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.9637, scimark_benchmark: 1749.4575, usercpu_time_millis: 0.894, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6226, f_measure: 0.6157, kappa: 0.038, kb_relative_information_score: 9.4879, mean_absolute_error: 0.3989, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6675, predictive_accuracy: 0.7153, prior_entropy: 0.8651, recall: 0.7153, relative_absolute_error: 0.975, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.986, scimark_benchmark: 1726.3286, usercpu_time_millis: 0.853, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6057, f_measure: 0.5931, kappa: -0.0118, kb_relative_information_score: 5.999, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5488, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.9902, scimark_benchmark: 1751.237, usercpu_time_millis: 0.669, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, f_measure: 0.5943, kb_relative_information_score: 9.3073, mean_absolute_error: 0.3999, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.9838, scimark_benchmark: 1758.8259, usercpu_time_millis: 1.264, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 1.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.5926, kappa: -0.0068, kb_relative_information_score: 10.6612, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5085, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.9701, scimark_benchmark: 1753.245, usercpu_time_millis: 0.569, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.5943, kb_relative_information_score: 6.2934, mean_absolute_error: 0.4012, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9876, scimark_benchmark: 1758.7172, usercpu_time_millis: 0.651, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.5966, kappa: 0.0017, kb_relative_information_score: 18.0507, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6048, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.9546, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9706, scimark_benchmark: 1749.2687, usercpu_time_millis: 0.588, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.5934, kappa: -0.0034, kb_relative_information_score: 12.8138, mean_absolute_error: 0.3947, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5088, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9794, scimark_benchmark: 1731.1943, usercpu_time_millis: 0.864, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, f_measure: 0.62, kappa: 0.044, kb_relative_information_score: 26.8274, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6572, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9314, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.9608, scimark_benchmark: 1742.4434, usercpu_time_millis: 1.378, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 1.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.597, kappa: -0.0034, kb_relative_information_score: 3.6526, mean_absolute_error: 0.4029, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5804, predictive_accuracy: 0.7067, prior_entropy: 0.8651, recall: 0.7067, relative_absolute_error: 0.9849, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9953, scimark_benchmark: 1865.8853, usercpu_time_millis: 0.714, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6729, f_measure: 0.6124, kappa: 0.0226, kb_relative_information_score: 23.1697, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6208, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.967, scimark_benchmark: 1756.0107, usercpu_time_millis: 0.618, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.5974, kappa: 0.0051, kb_relative_information_score: 16.4156, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6529, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9571, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.9779, scimark_benchmark: 1713.7487, usercpu_time_millis: 0.791, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.6027, kappa: 0.0065, kb_relative_information_score: 21.2738, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6053, predictive_accuracy: 0.7067, prior_entropy: 0.8651, recall: 0.7067, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.9698, scimark_benchmark: 1817.2401, usercpu_time_millis: 1.741, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 1.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.5943, kb_relative_information_score: 7.0979, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.9848, scimark_benchmark: 1758.6601, usercpu_time_millis: 0.633, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.6294, kappa: 0.0646, kb_relative_information_score: 24.3177, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6726, predictive_accuracy: 0.717, prior_entropy: 0.8651, recall: 0.717, relative_absolute_error: 0.9318, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.9619, scimark_benchmark: 1861.1843, usercpu_time_millis: 1.403, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 1.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.5948, kappa: -0.0051, kb_relative_information_score: 21.2479, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5659, predictive_accuracy: 0.7084, prior_entropy: 0.8651, recall: 0.7084, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.967, scimark_benchmark: 1872.3546, usercpu_time_millis: 0.83, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7007, f_measure: 0.5948, kappa: -0.0051, kb_relative_information_score: 14.9808, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5659, predictive_accuracy: 0.7084, prior_entropy: 0.8651, recall: 0.7084, relative_absolute_error: 0.9598, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.9797, scimark_benchmark: 1816.8382, usercpu_time_millis: 0.603, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5301, f_measure: 0.6158, kappa: 0.0435, kb_relative_information_score: 14.4705, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.7286, predictive_accuracy: 0.7204, prior_entropy: 0.8651, recall: 0.7204, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9862, scimark_benchmark: 1793.0049, usercpu_time_millis: 1.415, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.6124, kappa: 0.0226, kb_relative_information_score: 4.956, mean_absolute_error: 0.3956, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6208, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9827, scimark_benchmark: 1778.1409, usercpu_time_millis: 0.631, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.703, f_measure: 0.5987, kappa: 0.0033, kb_relative_information_score: 16.5078, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.605, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.9567, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.978, scimark_benchmark: 1765.2765, usercpu_time_millis: 0.7, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.5987, kappa: 0.0033, kb_relative_information_score: 22.6105, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.605, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9672, scimark_benchmark: 1751.6968, usercpu_time_millis: 0.796, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.594, kappa: -0.0085, kb_relative_information_score: 11.8021, mean_absolute_error: 0.397, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.556, predictive_accuracy: 0.7067, prior_entropy: 0.8651, recall: 0.7067, relative_absolute_error: 0.9705, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9829, scimark_benchmark: 1733.0143, usercpu_time_millis: 0.78, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.597, kappa: -0.0034, kb_relative_information_score: 6.8004, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5804, predictive_accuracy: 0.7067, prior_entropy: 0.8651, recall: 0.7067, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9889, scimark_benchmark: 1866.1009, usercpu_time_millis: 0.712, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5236, f_measure: 0.6177, kappa: 0.0505, kb_relative_information_score: 19.1331, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.8009, predictive_accuracy: 0.7238, prior_entropy: 0.8651, recall: 0.7238, relative_absolute_error: 0.966, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.9813, scimark_benchmark: 1081.1169, usercpu_time_millis: 2.514, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 2.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.5943, kb_relative_information_score: 20.2986, mean_absolute_error: 0.3891, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.9743, scimark_benchmark: 1815.2524, usercpu_time_millis: 0.723, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, f_measure: 0.5943, kb_relative_information_score: 10.0491, mean_absolute_error: 0.3994, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.981, scimark_benchmark: 1791.0223, usercpu_time_millis: 0.728, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6703, f_measure: 0.6014, kappa: 0.0136, kb_relative_information_score: 19.883, mean_absolute_error: 0.3903, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.7015, predictive_accuracy: 0.7153, prior_entropy: 0.8651, recall: 0.7153, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9705, scimark_benchmark: 1860.3388, usercpu_time_millis: 83.666, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 83.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.5918, kappa: -0.0102, kb_relative_information_score: 10.9698, mean_absolute_error: 0.3957, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5081, predictive_accuracy: 0.7084, prior_entropy: 0.8651, recall: 0.7084, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.9838, scimark_benchmark: 1788.2031, usercpu_time_millis: 0.675, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6627, f_measure: 0.5943, kb_relative_information_score: 13.7019, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9689, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9798, scimark_benchmark: 1058.983, usercpu_time_millis: 1.516, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 1.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, f_measure: 0.5943, kb_relative_information_score: 5.4014, mean_absolute_error: 0.4019, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9884, scimark_benchmark: 1751.9236, usercpu_time_millis: 0.642, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, f_measure: 0.628, kappa: 0.0635, kb_relative_information_score: 15.548, mean_absolute_error: 0.3975, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.682, predictive_accuracy: 0.7187, prior_entropy: 0.8651, recall: 0.7187, relative_absolute_error: 0.9717, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.445, root_relative_squared_error: 0.9842, scimark_benchmark: 1729.0611, usercpu_time_millis: 1.422, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6762, f_measure: 0.5974, kappa: 0.0051, kb_relative_information_score: 14.1247, mean_absolute_error: 0.3928, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6529, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9601, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9782, scimark_benchmark: 1753.7072, usercpu_time_millis: 0.659, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6483, f_measure: 0.5957, kappa: -0.0017, kb_relative_information_score: 2.8041, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5806, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9924, scimark_benchmark: 1865.8853, usercpu_time_millis: 0.794, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6418, f_measure: 0.6276, kappa: 0.0658, kb_relative_information_score: 19.1373, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.7073, predictive_accuracy: 0.7221, prior_entropy: 0.8651, recall: 0.7221, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.9743, scimark_benchmark: 1743.3608, usercpu_time_millis: 0.865, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.5981, kappa: -0.0051, kb_relative_information_score: 19.036, mean_absolute_error: 0.3872, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5802, predictive_accuracy: 0.7033, prior_entropy: 0.8651, recall: 0.7033, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.9749, scimark_benchmark: 1747.0307, usercpu_time_millis: 0.641, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6293, f_measure: 0.5934, kappa: -0.0034, kb_relative_information_score: 3.5969, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5088, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9955, scimark_benchmark: 1071.3282, usercpu_time_millis: 5.333, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 5.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.6014, kappa: 0.0136, kb_relative_information_score: 9.9376, mean_absolute_error: 0.3983, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.7015, predictive_accuracy: 0.7153, prior_entropy: 0.8651, recall: 0.7153, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.9834, scimark_benchmark: 1744.9741, usercpu_time_millis: 6.082, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 6.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, f_measure: 0.5987, kappa: 0.0033, kb_relative_information_score: 4.0467, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.605, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9944, scimark_benchmark: 1771.8653, usercpu_time_millis: 0.791, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, f_measure: 0.6128, kappa: 0.0278, kb_relative_information_score: 14.089, mean_absolute_error: 0.3977, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6375, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.972, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9837, scimark_benchmark: 1864.5074, usercpu_time_millis: 1.034, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 1.007,

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