OpenML
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 146065 Supervised Classification monks-problems-2 261557 runs submitted
0 likes downloaded by 6 people , 7 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

261557 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: 0.7406, f_measure: 0.5365, kappa: 0.0254, kb_relative_information_score: 43.5033, mean_absolute_error: 0.4187, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7776, predictive_accuracy: 0.6639, prior_entropy: 0.9279, recall: 0.6639, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9418, scimark_benchmark: 1821.4338, usercpu_time_millis: 2.314, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 2.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.5213, kb_relative_information_score: 0.2428, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1864.9656, usercpu_time_millis: 0.808, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 0.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.2366, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1822.0505, usercpu_time_millis: 1.033, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 0.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.6676, kappa: 0.2652, kb_relative_information_score: 86.4401, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8019, predictive_accuracy: 0.7304, prior_entropy: 0.9279, recall: 0.7304, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.8962, scimark_benchmark: 1814.4492, usercpu_time_millis: 0.893, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 0.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5192, f_measure: 0.5213, kb_relative_information_score: -1.6072, mean_absolute_error: 0.4482, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9989, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.541, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5212, f_measure: 0.5213, kb_relative_information_score: -2.9789, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9988, scimark_benchmark: 1874.977, usercpu_time_millis: 0.321, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.5213, kb_relative_information_score: 36.7156, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9482, scimark_benchmark: 1750.1838, usercpu_time_millis: 2.566, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 2.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9101, kappa: 0.7961, kb_relative_information_score: 237.7329, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9225, predictive_accuracy: 0.9135, prior_entropy: 0.9279, recall: 0.9135, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.7101, scimark_benchmark: 1790.4754, usercpu_time_millis: 2.19, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 1.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5246, f_measure: 0.5213, kb_relative_information_score: -0.5738, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9983, scimark_benchmark: 1779.0288, usercpu_time_millis: 1.462, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 1.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, f_measure: 0.5213, kb_relative_information_score: -3.4927, mean_absolute_error: 0.4499, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0003, scimark_benchmark: 1720.9018, usercpu_time_millis: 0.153, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.5213, kb_relative_information_score: 11.3361, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9833, scimark_benchmark: 1737.4905, usercpu_time_millis: 1.905, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 1.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8654, kappa: 0.6937, kb_relative_information_score: 183.0233, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8907, predictive_accuracy: 0.8735, prior_entropy: 0.9279, recall: 0.8735, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7801, scimark_benchmark: 1731.9182, usercpu_time_millis: 2.339, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 2.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8915, kappa: 0.7533, kb_relative_information_score: 208.2913, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9108, predictive_accuracy: 0.8968, prior_entropy: 0.9279, recall: 0.8968, relative_absolute_error: 0.7134, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7504, scimark_benchmark: 1746.5218, usercpu_time_millis: 4.91, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 4.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.5213, kb_relative_information_score: 37.4251, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9446, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9511, scimark_benchmark: 1748.8208, usercpu_time_millis: 2.903, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 2.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.5243, kappa: 0.003, kb_relative_information_score: 44.158, mean_absolute_error: 0.419, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6037, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.446, root_relative_squared_error: 0.9398, scimark_benchmark: 1746.0139, usercpu_time_millis: 1.257, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 1.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4945, f_measure: 0.5213, kb_relative_information_score: 0.1484, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1730.9146, usercpu_time_millis: 1.446, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 1.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 491.8896, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.2873, scimark_benchmark: 1739.0223, usercpu_time_millis: 5.37, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 4.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.5213, kb_relative_information_score: 14.3421, mean_absolute_error: 0.4392, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9791, scimark_benchmark: 1737.5952, usercpu_time_millis: 1.461, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 1.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.5213, kb_relative_information_score: 0.0881, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1732.5591, usercpu_time_millis: 0.962, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 0.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9917, kappa: 0.9816, kb_relative_information_score: 452.9856, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 0.9279, recall: 0.9917, relative_absolute_error: 0.3049, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3683, scimark_benchmark: 1742.5561, usercpu_time_millis: 4.27, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 3.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.5213, kb_relative_information_score: -4.3497, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9984, scimark_benchmark: 1741.1944, usercpu_time_millis: 0.646, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1001, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1734.9711, usercpu_time_millis: 0.986, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 0.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.6475, kappa: 0.2257, kb_relative_information_score: 93.6394, mean_absolute_error: 0.3895, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7947, predictive_accuracy: 0.7188, prior_entropy: 0.9279, recall: 0.7188, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8847, scimark_benchmark: 1738.4001, usercpu_time_millis: 4.599, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 3.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5235, f_measure: 0.5213, kb_relative_information_score: -2.7652, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.998, scimark_benchmark: 1715.1115, usercpu_time_millis: 0.35, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 0.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.8142, kappa: 0.5774, kb_relative_information_score: 168.298, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8662, predictive_accuracy: 0.8319, prior_entropy: 0.9279, recall: 0.8319, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7997, scimark_benchmark: 1741.2968, usercpu_time_millis: 2.844, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 2.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.5213, kb_relative_information_score: 53.0321, mean_absolute_error: 0.4176, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9266, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9345, scimark_benchmark: 1738.6832, usercpu_time_millis: 2.885, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 2.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9315, kappa: 0.8451, kb_relative_information_score: 255.436, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9396, predictive_accuracy: 0.9334, prior_entropy: 0.9279, recall: 0.9334, relative_absolute_error: 0.6459, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.6836, scimark_benchmark: 1725.22, usercpu_time_millis: 6.435, usercpu_time_millis_testing: 0.753, usercpu_time_millis_training: 5.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.5213, kb_relative_information_score: 16.5651, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9703, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9771, scimark_benchmark: 1743.4191, usercpu_time_millis: 0.996, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 0.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.5289, kappa: 0.0127, kb_relative_information_score: 87.7056, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7762, predictive_accuracy: 0.6606, prior_entropy: 0.9279, recall: 0.6606, relative_absolute_error: 0.8868, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8967, scimark_benchmark: 1731.3119, usercpu_time_millis: 0.753, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 0.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.5213, kb_relative_information_score: 29.3589, mean_absolute_error: 0.4313, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9611, scimark_benchmark: 1761.4402, usercpu_time_millis: 1.675, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7341, f_measure: 0.5213, kb_relative_information_score: 18.4869, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9736, scimark_benchmark: 1741.7566, usercpu_time_millis: 1.68, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 1.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5386, f_measure: 0.5213, kb_relative_information_score: -3.762, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9986, scimark_benchmark: 1745.0258, usercpu_time_millis: 1.21, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5143, f_measure: 0.5213, kb_relative_information_score: -6.0928, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0003, scimark_benchmark: 1745.4881, usercpu_time_millis: 0.325, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.5213, kb_relative_information_score: 29.3301, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9609, scimark_benchmark: 1772.7634, usercpu_time_millis: 0.13, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5058, f_measure: 0.5213, kb_relative_information_score: -2.7081, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1761.8744, usercpu_time_millis: 0.272, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.5213, kb_relative_information_score: -0.155, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1746.226, usercpu_time_millis: 0.41, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1163, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1741.6387, usercpu_time_millis: 0.7, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 0.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8638, kappa: 0.6901, kb_relative_information_score: 181.9092, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.888, predictive_accuracy: 0.8719, prior_entropy: 0.9279, recall: 0.8719, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.37, root_relative_squared_error: 0.7795, scimark_benchmark: 1735.7783, usercpu_time_millis: 0.986, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 0.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5282, f_measure: 0.5213, kb_relative_information_score: -3.3272, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9989, scimark_benchmark: 1733.1374, usercpu_time_millis: 0.898, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 0.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, f_measure: 0.5213, kb_relative_information_score: 0.1639, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1742.1574, usercpu_time_millis: 1, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 0.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9246, kappa: 0.8296, kb_relative_information_score: 267.139, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9324, predictive_accuracy: 0.9268, prior_entropy: 0.9279, recall: 0.9268, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6696, scimark_benchmark: 1762.1052, usercpu_time_millis: 4.077, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 3.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.6374, kappa: 0.2051, kb_relative_information_score: 73.6475, mean_absolute_error: 0.3992, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7822, predictive_accuracy: 0.7121, prior_entropy: 0.9279, recall: 0.7121, relative_absolute_error: 0.8857, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.432, root_relative_squared_error: 0.9102, scimark_benchmark: 1771.8516, usercpu_time_millis: 3.546, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 3.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.5738, kappa: 0.0868, kb_relative_information_score: 55.8137, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7447, predictive_accuracy: 0.6789, prior_entropy: 0.9279, recall: 0.6789, relative_absolute_error: 0.9132, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9299, scimark_benchmark: 1742.0394, usercpu_time_millis: 0.667, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 0.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.5213, kb_relative_information_score: 54.5306, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9248, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9328, scimark_benchmark: 1768.4901, usercpu_time_millis: 2.073, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 1.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.7035, kappa: 0.3252, kb_relative_information_score: 118.9668, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7214, predictive_accuracy: 0.7288, prior_entropy: 0.9279, recall: 0.7288, relative_absolute_error: 0.8093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8721, scimark_benchmark: 1745.5953, usercpu_time_millis: 3.717, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 3.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.101, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1754.2126, usercpu_time_millis: 1.336, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 1.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5433, f_measure: 0.5213, kb_relative_information_score: -1.2472, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9976, scimark_benchmark: 1772.1062, usercpu_time_millis: 0.891, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 0.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1418, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1750.4475, usercpu_time_millis: 1.038, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 0.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.5213, kb_relative_information_score: 0.2903, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1751.6968, usercpu_time_millis: 1.131, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 0.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, f_measure: 0.5213, kb_relative_information_score: 0.0472, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1739.8782, usercpu_time_millis: 1.244, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 1.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 45.7048, mean_absolute_error: 0.4189, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7754, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9294, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9407, scimark_benchmark: 1749.9829, usercpu_time_millis: 1.393, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 1.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9261, kappa: 0.8329, kb_relative_information_score: 251.7531, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9355, predictive_accuracy: 0.9285, prior_entropy: 0.9279, recall: 0.9285, relative_absolute_error: 0.6517, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6896, scimark_benchmark: 1739.5897, usercpu_time_millis: 2.422, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 2.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.5402, kappa: 0.0317, kb_relative_information_score: 54.596, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7783, predictive_accuracy: 0.6656, prior_entropy: 0.9279, recall: 0.6656, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9297, scimark_benchmark: 1746.6883, usercpu_time_millis: 1.103, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.6704, kappa: 0.2708, kb_relative_information_score: 93.1275, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8029, predictive_accuracy: 0.7321, prior_entropy: 0.9279, recall: 0.7321, relative_absolute_error: 0.8635, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8858, scimark_benchmark: 1774.4975, usercpu_time_millis: 1.873, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 1.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.7889, kappa: 0.5209, kb_relative_information_score: 142.1436, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8509, predictive_accuracy: 0.812, prior_entropy: 0.9279, recall: 0.812, relative_absolute_error: 0.7968, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.8294, scimark_benchmark: 1778.7449, usercpu_time_millis: 0.215, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9528, kappa: 0.8941, kb_relative_information_score: 293.9895, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9546, predictive_accuracy: 0.9534, prior_entropy: 0.9279, recall: 0.9534, relative_absolute_error: 0.5782, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.629, scimark_benchmark: 1744.0539, usercpu_time_millis: 3.494, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 3.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 47.9753, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7754, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.9377, scimark_benchmark: 1734.1633, usercpu_time_millis: 1.048, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.5213, kb_relative_information_score: 18.0291, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9749, scimark_benchmark: 1752.0396, usercpu_time_millis: 1.682, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 1.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8718, kappa: 0.7084, kb_relative_information_score: 197.5118, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8917, predictive_accuracy: 0.8785, prior_entropy: 0.9279, recall: 0.8785, relative_absolute_error: 0.7211, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7628, scimark_benchmark: 1745.3654, usercpu_time_millis: 4.635, usercpu_time_millis_testing: 0.519, usercpu_time_millis_training: 4.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.5213, kb_relative_information_score: 33.9796, mean_absolute_error: 0.4261, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9545, scimark_benchmark: 1744.3284, usercpu_time_millis: 0.204, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5406, f_measure: 0.5213, kb_relative_information_score: -0.6145, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9956, scimark_benchmark: 1747.0922, usercpu_time_millis: 0.524, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9732, kappa: 0.9401, kb_relative_information_score: 332.4833, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9739, predictive_accuracy: 0.9734, prior_entropy: 0.9279, recall: 0.9734, relative_absolute_error: 0.5202, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.5716, scimark_benchmark: 1742.3998, usercpu_time_millis: 6.522, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 5.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.5213, kb_relative_information_score: -4.2008, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9984, scimark_benchmark: 1739.4775, usercpu_time_millis: 1.459, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 1.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.5213, kb_relative_information_score: 33.5778, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9498, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4533, root_relative_squared_error: 0.955, scimark_benchmark: 1743.5462, usercpu_time_millis: 1.146, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 0.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.5213, kb_relative_information_score: -0.2646, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1743.5462, usercpu_time_millis: 0.326, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9511, kappa: 0.8902, kb_relative_information_score: 294.7135, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9531, predictive_accuracy: 0.9517, prior_entropy: 0.9279, recall: 0.9517, relative_absolute_error: 0.5773, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.6265, scimark_benchmark: 1717.3332, usercpu_time_millis: 4.849, usercpu_time_millis_testing: 0.557, usercpu_time_millis_training: 4.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, f_measure: 0.5213, kb_relative_information_score: -5.0504, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9993, scimark_benchmark: 1740.384, usercpu_time_millis: 0.435, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5593, f_measure: 0.5213, kb_relative_information_score: 1.3558, mean_absolute_error: 0.4461, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9933, scimark_benchmark: 1725.7413, usercpu_time_millis: 0.42, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.5213, kb_relative_information_score: 17.9898, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9705, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9736, scimark_benchmark: 1745.3654, usercpu_time_millis: 0.715, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 0.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.5401, kappa: 0.0108, kb_relative_information_score: 30.1488, mean_absolute_error: 0.4265, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5704, predictive_accuracy: 0.6506, prior_entropy: 0.9279, recall: 0.6506, relative_absolute_error: 0.9463, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9667, scimark_benchmark: 1751.2961, usercpu_time_millis: 0.576, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5417, f_measure: 0.5213, kb_relative_information_score: -1.9085, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9985, scimark_benchmark: 1745.7661, usercpu_time_millis: 0.675, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9834, kappa: 0.9632, kb_relative_information_score: 398.7843, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9834, predictive_accuracy: 0.9834, prior_entropy: 0.9279, recall: 0.9834, relative_absolute_error: 0.4043, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.4648, scimark_benchmark: 1745.3654, usercpu_time_millis: 0.758, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.99, kappa: 0.9778, kb_relative_information_score: 401.8084, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 0.9279, recall: 0.99, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4593, scimark_benchmark: 1717.7798, usercpu_time_millis: 8.009, usercpu_time_millis_testing: 0.853, usercpu_time_millis_training: 7.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9354, kappa: 0.8546, kb_relative_information_score: 282.2215, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9396, predictive_accuracy: 0.9368, prior_entropy: 0.9279, recall: 0.9368, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6488, scimark_benchmark: 1856.599, usercpu_time_millis: 1.183, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 1.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9542, kappa: 0.8971, kb_relative_information_score: 277.459, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9579, predictive_accuracy: 0.9551, prior_entropy: 0.9279, recall: 0.9551, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6516, scimark_benchmark: 1856.599, usercpu_time_millis: 1.168, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 1.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9227, kappa: 0.8251, kb_relative_information_score: 236.7459, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9319, predictive_accuracy: 0.9251, prior_entropy: 0.9279, recall: 0.9251, relative_absolute_error: 0.6716, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.7091, scimark_benchmark: 2170.3346, usercpu_time_millis: 2.073, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 1.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.737, kappa: 0.4087, kb_relative_information_score: 129.5201, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8326, predictive_accuracy: 0.7754, prior_entropy: 0.9279, recall: 0.7754, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8468, scimark_benchmark: 1731.6557, usercpu_time_millis: 2.112, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 1.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.5213, kb_relative_information_score: -0.031, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1742.0962, usercpu_time_millis: 0.272, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9647, kappa: 0.9211, kb_relative_information_score: 368.7395, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9658, predictive_accuracy: 0.9651, prior_entropy: 0.9279, recall: 0.9651, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.5201, scimark_benchmark: 1696.4969, usercpu_time_millis: 4.228, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 3.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5213, kb_relative_information_score: -0.0755, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1740.7306, usercpu_time_millis: 0.563, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.6064, kappa: 0.1425, kb_relative_information_score: 62.7954, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7372, predictive_accuracy: 0.6922, prior_entropy: 0.9279, recall: 0.6922, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.919, scimark_benchmark: 1736.8008, usercpu_time_millis: 0.396, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.7933, kappa: 0.5307, kb_relative_information_score: 147.7275, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.853, predictive_accuracy: 0.8153, prior_entropy: 0.9279, recall: 0.8153, relative_absolute_error: 0.7906, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.8227, scimark_benchmark: 1741.1835, usercpu_time_millis: 2.929, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 2.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5112, f_measure: 0.5213, kb_relative_information_score: -5.0668, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9999, scimark_benchmark: 1752.1591, usercpu_time_millis: 0.593, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.5619, kappa: 0.069, kb_relative_information_score: 66.3343, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7828, predictive_accuracy: 0.6755, prior_entropy: 0.9279, recall: 0.6755, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.918, scimark_benchmark: 1744.9666, usercpu_time_millis: 0.438, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.772, f_measure: 0.5538, kappa: 0.0533, kb_relative_information_score: 52.2178, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7466, predictive_accuracy: 0.6705, prior_entropy: 0.9279, recall: 0.6705, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9333, scimark_benchmark: 1794.1966, usercpu_time_millis: 0.241, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.5327, kappa: 0.0191, kb_relative_information_score: 74.6238, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7769, predictive_accuracy: 0.6622, prior_entropy: 0.9279, recall: 0.6622, relative_absolute_error: 0.9003, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.432, root_relative_squared_error: 0.9102, scimark_benchmark: 1744.6894, usercpu_time_millis: 0.439, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.5213, kb_relative_information_score: 0.0622, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1733.3164, usercpu_time_millis: 1.004, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 0.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 72.5348, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7754, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9022, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.9125, scimark_benchmark: 1749.9829, usercpu_time_millis: 2.339, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 2.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.5213, kb_relative_information_score: 4.8321, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9899, scimark_benchmark: 1749.1199, usercpu_time_millis: 0.109, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.8659, kappa: 0.6981, kb_relative_information_score: 255.4329, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8679, predictive_accuracy: 0.8686, prior_entropy: 0.9279, recall: 0.8686, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6998, scimark_benchmark: 1080.4811, usercpu_time_millis: 0.556, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.99, kappa: 0.9779, kb_relative_information_score: 441.4863, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 0.9279, recall: 0.99, relative_absolute_error: 0.3281, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3838, scimark_benchmark: 1747.2593, usercpu_time_millis: 2.66, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 2.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.7346, kappa: 0.4035, kb_relative_information_score: 130.6047, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8317, predictive_accuracy: 0.7737, prior_entropy: 0.9279, recall: 0.7737, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8441, scimark_benchmark: 1748.1757, usercpu_time_millis: 3.052, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 2.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5247, f_measure: 0.5213, kb_relative_information_score: -1.5207, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9981, scimark_benchmark: 1753.8122, usercpu_time_millis: 1.411, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 1.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.985, kappa: 0.9667, kb_relative_information_score: 418.1734, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.985, predictive_accuracy: 0.985, prior_entropy: 0.9279, recall: 0.985, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4294, scimark_benchmark: 1861.0549, usercpu_time_millis: 2.068, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 1.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.6153, kappa: 0.1655, kb_relative_information_score: 87.4577, mean_absolute_error: 0.3937, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.795, predictive_accuracy: 0.7022, prior_entropy: 0.9279, recall: 0.7022, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8934, scimark_benchmark: 1722.7651, usercpu_time_millis: 2.424, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 2.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.2864, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1692.776, usercpu_time_millis: 0.852, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 0.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.7494, kappa: 0.4307, kb_relative_information_score: 114.479, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7931, predictive_accuracy: 0.7754, prior_entropy: 0.9279, recall: 0.7754, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8596, scimark_benchmark: 1848.8474, usercpu_time_millis: 0.428, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 70.7432, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7754, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9049, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.9141, scimark_benchmark: 1848.7762, usercpu_time_millis: 0.595, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.5213, kb_relative_information_score: 48.3418, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.9386, scimark_benchmark: 1847.934, usercpu_time_millis: 1.592, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 1.357,

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