Task
Supervised Classification on hill-valley

Supervised Classification on hill-valley

Task 9970 Supervised Classification hill-valley 88527 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML100 study_107 study_123 study_14 study_50 study_7
Issue #Downvotes for this reason By


Metric:

88527 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: 0.496, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0106, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0105, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1248.2165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0105, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0106, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1230.3004, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.4651, kappa: 0.0066, kb_relative_information_score: -1.7372, mean_absolute_error: 0.5012, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5046, predictive_accuracy: 0.5033, prior_entropy: 1, recall: 0.5033, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6814, root_relative_squared_error: 1.3629, scimark_benchmark: 1230.3004, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.7921, kappa: 0.5842, kb_relative_information_score: 519.6027, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7921, predictive_accuracy: 0.7921, prior_entropy: 1, recall: 0.7921, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.8963, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.4651, kappa: 0.0066, kb_relative_information_score: -1.7372, mean_absolute_error: 0.5012, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5046, predictive_accuracy: 0.5033, prior_entropy: 1, recall: 0.5033, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6814, root_relative_squared_error: 1.3629, scimark_benchmark: 1230.3004, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, f_measure: 0.489, kappa: -0.0132, kb_relative_information_score: -3.1985, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4932, predictive_accuracy: 0.4934, prior_entropy: 1, recall: 0.4934, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0058, scimark_benchmark: 479.2609, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4887, f_measure: 0.4556, kb_relative_information_score: -8.8857, mean_absolute_error: 0.5042, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0084, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.666, root_relative_squared_error: 1.3321, scimark_benchmark: 473.1656, usercpu_time_millis: 280, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0106, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 473.1656, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8027, kappa: 0.6172, kb_relative_information_score: 537.2988, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.8507, predictive_accuracy: 0.8086, prior_entropy: 1, recall: 0.8086, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.741, scimark_benchmark: 1254.1389, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5876, f_measure: 0.5947, kappa: 0.1898, kb_relative_information_score: 229.6962, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.595, predictive_accuracy: 0.5949, prior_entropy: 1, recall: 0.5949, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6359, root_relative_squared_error: 1.2718, scimark_benchmark: 473.1656, usercpu_time_millis: 550, usercpu_time_millis_testing: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.4484, kappa: 0.0099, kb_relative_information_score: 7.2512, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5084, predictive_accuracy: 0.505, prior_entropy: 1, recall: 0.505, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6631, root_relative_squared_error: 1.3262, scimark_benchmark: 1227.6486, usercpu_time_millis: 3400, usercpu_time_millis_testing: 3390, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5581, f_measure: 0.5371, kappa: 0.0743, kb_relative_information_score: 98.5098, mean_absolute_error: 0.4594, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5371, predictive_accuracy: 0.5371, prior_entropy: 1, recall: 0.5371, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6194, root_relative_squared_error: 1.2388, scimark_benchmark: 1229.0376, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5876, f_measure: 0.5947, kappa: 0.1898, kb_relative_information_score: 229.6962, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.595, predictive_accuracy: 0.5949, prior_entropy: 1, recall: 0.5949, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6359, root_relative_squared_error: 1.2718, scimark_benchmark: 1224.5887, usercpu_time_millis: 180, usercpu_time_millis_testing: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9612, kappa: 0.9224, kb_relative_information_score: 1033.7035, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.9613, predictive_accuracy: 0.9612, prior_entropy: 1, recall: 0.9612, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.191, root_relative_squared_error: 0.3821, scimark_benchmark: 1240.8587, usercpu_time_millis: 2330, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 2140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6605, f_measure: 0.5332, kappa: 0.1271, kb_relative_information_score: 142.393, mean_absolute_error: 0.4434, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5859, predictive_accuracy: 0.5635, prior_entropy: 1, recall: 0.5635, relative_absolute_error: 0.8868, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9423, scimark_benchmark: 471.4065, usercpu_time_millis: 192000, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 191780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.9554, kappa: 0.9109, kb_relative_information_score: 1104, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.9555, predictive_accuracy: 0.9554, prior_entropy: 1, recall: 0.9554, relative_absolute_error: 0.0891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.4222, usercpu_time_millis: 28.577, usercpu_time_millis_testing: 0.814, usercpu_time_millis_training: 27.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5693, f_measure: 0.5692, kappa: 0.1386, kb_relative_information_score: 168, mean_absolute_error: 0.4307, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5693, predictive_accuracy: 0.5693, prior_entropy: 1, recall: 0.5693, relative_absolute_error: 0.8614, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6563, root_relative_squared_error: 1.3125, usercpu_time_millis: 229.25, usercpu_time_millis_testing: 5.827, usercpu_time_millis_training: 223.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.5133, kappa: 0.0281, kb_relative_information_score: 34, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5141, predictive_accuracy: 0.514, prior_entropy: 1, recall: 0.514, relative_absolute_error: 0.9719, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6971, root_relative_squared_error: 1.3942, usercpu_time_millis: 9.626, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 9.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5908, f_measure: 0.5884, kappa: 0.1815, kb_relative_information_score: 220, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5929, predictive_accuracy: 0.5908, prior_entropy: 1, recall: 0.5908, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6397, root_relative_squared_error: 1.2794, usercpu_time_millis: 6.709, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 6.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -8, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189, usercpu_time_millis: 7.598, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 7.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, f_measure: 0.5601, kappa: 0.1205, kb_relative_information_score: 146, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5603, predictive_accuracy: 0.5602, prior_entropy: 1, recall: 0.5602, relative_absolute_error: 0.8795, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6632, root_relative_squared_error: 1.3263, usercpu_time_millis: 82.269, usercpu_time_millis_testing: 9.823, usercpu_time_millis_training: 72.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -8, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189, usercpu_time_millis: 3.093, usercpu_time_millis_testing: 0.669, usercpu_time_millis_training: 2.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.4984, kappa: -0.0033, kb_relative_information_score: -4, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4984, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7083, root_relative_squared_error: 1.4165, usercpu_time_millis: 1.538, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.6038, kappa: 0.2079, kb_relative_information_score: 252, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6041, predictive_accuracy: 0.604, prior_entropy: 1, recall: 0.604, relative_absolute_error: 0.7921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.2586, usercpu_time_millis: 405.069, usercpu_time_millis_testing: 14.511, usercpu_time_millis_training: 390.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5957, f_measure: 0.5957, kappa: 0.1914, kb_relative_information_score: 232, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5957, predictive_accuracy: 0.5957, prior_entropy: 1, recall: 0.5957, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6358, root_relative_squared_error: 1.2717, usercpu_time_millis: 11.072, usercpu_time_millis_testing: 0.699, usercpu_time_millis_training: 10.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.5136, kappa: 0.0281, kb_relative_information_score: 34, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5141, predictive_accuracy: 0.514, prior_entropy: 1, recall: 0.514, relative_absolute_error: 0.9719, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6971, root_relative_squared_error: 1.3942, usercpu_time_millis: 3.861, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 3.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5223, f_measure: 0.4796, kappa: 0.0446, kb_relative_information_score: 54, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5331, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3824, usercpu_time_millis: 3.442, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 3.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.6506, kappa: 0.3515, kb_relative_information_score: 426, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7467, predictive_accuracy: 0.6757, prior_entropy: 1, recall: 0.6757, relative_absolute_error: 0.6485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5694, root_relative_squared_error: 1.1389, usercpu_time_millis: 4.06, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 3.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5949, f_measure: 0.5947, kappa: 0.1898, kb_relative_information_score: 230, mean_absolute_error: 0.4051, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.595, predictive_accuracy: 0.5949, prior_entropy: 1, recall: 0.5949, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6365, root_relative_squared_error: 1.273, usercpu_time_millis: 4.211, usercpu_time_millis_testing: 1.109, usercpu_time_millis_training: 3.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4951, f_measure: 0.4679, kappa: -0.0099, kb_relative_information_score: -12, mean_absolute_error: 0.505, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4938, predictive_accuracy: 0.4951, prior_entropy: 1, recall: 0.4951, relative_absolute_error: 1.0099, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7106, root_relative_squared_error: 1.4212, usercpu_time_millis: 56.872, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 56.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -8, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189, usercpu_time_millis: 3.762, usercpu_time_millis_testing: 1.274, usercpu_time_millis_training: 2.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5767, f_measure: 0.5762, kappa: 0.1535, kb_relative_information_score: 186, mean_absolute_error: 0.4233, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5771, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6506, root_relative_squared_error: 1.3012, usercpu_time_millis: 1.372, usercpu_time_millis_testing: 1.338, usercpu_time_millis_training: 0.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, f_measure: 0.5264, kappa: 0.0578, kb_relative_information_score: 70, mean_absolute_error: 0.4711, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5295, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6864, root_relative_squared_error: 1.3728, usercpu_time_millis: 6.655, usercpu_time_millis_testing: 1.325, usercpu_time_millis_training: 5.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.6506, kappa: 0.3515, kb_relative_information_score: 426, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7467, predictive_accuracy: 0.6757, prior_entropy: 1, recall: 0.6757, relative_absolute_error: 0.6485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5694, root_relative_squared_error: 1.1389, usercpu_time_millis: 2.642, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 2.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5363, f_measure: 0.5362, kappa: 0.0726, kb_relative_information_score: 88, mean_absolute_error: 0.4637, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5363, predictive_accuracy: 0.5363, prior_entropy: 1, recall: 0.5363, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.681, root_relative_squared_error: 1.3619, usercpu_time_millis: 5.846, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 5.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9645, kappa: 0.929, kb_relative_information_score: 1126, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.9648, predictive_accuracy: 0.9645, prior_entropy: 1, recall: 0.9645, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3767, usercpu_time_millis: 0.64, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.7705, kappa: 0.5594, kb_relative_information_score: 678, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.8333, predictive_accuracy: 0.7797, prior_entropy: 1, recall: 0.7797, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9387, usercpu_time_millis: 15.543, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 15.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5908, f_measure: 0.5884, kappa: 0.1815, kb_relative_information_score: 220, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5929, predictive_accuracy: 0.5908, prior_entropy: 1, recall: 0.5908, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6397, root_relative_squared_error: 1.2794, usercpu_time_millis: 6.381, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 6.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5965, f_measure: 0.5533, kappa: 0.1931, kb_relative_information_score: 234, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6575, predictive_accuracy: 0.5965, prior_entropy: 1, recall: 0.5965, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6352, root_relative_squared_error: 1.2704, usercpu_time_millis: 27.952, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 27.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, f_measure: 0.6178, kappa: 0.2937, kb_relative_information_score: 356, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7109, predictive_accuracy: 0.6469, prior_entropy: 1, recall: 0.6469, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5943, root_relative_squared_error: 1.1885, usercpu_time_millis: 13.83, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 13.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7888, kappa: 0.5825, kb_relative_information_score: 706, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.8055, predictive_accuracy: 0.7913, prior_entropy: 1, recall: 0.7913, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9138, usercpu_time_millis: 5.335, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 5.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.4651, kappa: 0.0066, kb_relative_information_score: 8, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5046, predictive_accuracy: 0.5033, prior_entropy: 1, recall: 0.5033, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7048, root_relative_squared_error: 1.4095, usercpu_time_millis: 5.93, usercpu_time_millis_testing: 4.576, usercpu_time_millis_training: 1.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142, usercpu_time_millis: 112.03, usercpu_time_millis_testing: 8.189, usercpu_time_millis_training: 103.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.4443, kappa: -0.0033, kb_relative_information_score: -4, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4973, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7083, root_relative_squared_error: 1.4165, usercpu_time_millis: 1.089, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 1.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.8556, kappa: 0.7112, kb_relative_information_score: 862, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.8557, predictive_accuracy: 0.8556, prior_entropy: 1, recall: 0.8556, relative_absolute_error: 0.2888, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.38, root_relative_squared_error: 0.76, usercpu_time_millis: 5.173, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 5.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4967, kappa: -0.0066, kb_relative_information_score: -8, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4967, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189, usercpu_time_millis: 3.807, usercpu_time_millis_testing: 1.184, usercpu_time_millis_training: 2.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -8, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189, usercpu_time_millis: 4.723, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 4.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -8, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189, usercpu_time_millis: 3.868, usercpu_time_millis_testing: 1.224, usercpu_time_millis_training: 2.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9686, kappa: 0.9373, kb_relative_information_score: 1136, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.9688, predictive_accuracy: 0.9686, prior_entropy: 1, recall: 0.9686, relative_absolute_error: 0.0627, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.3541, usercpu_time_millis: 6.596, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 6.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6361, f_measure: 0.6011, kappa: 0.2723, kb_relative_information_score: 330, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7098, predictive_accuracy: 0.6361, prior_entropy: 1, recall: 0.6361, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6032, root_relative_squared_error: 1.2064, usercpu_time_millis: 2.426, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 2.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5272, f_measure: 0.5242, kappa: 0.0545, kb_relative_information_score: 66, mean_absolute_error: 0.4728, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5279, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, relative_absolute_error: 0.9455, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6876, root_relative_squared_error: 1.3752, usercpu_time_millis: 171.539, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 171.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5965, f_measure: 0.5931, kappa: 0.1931, kb_relative_information_score: 234, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5999, predictive_accuracy: 0.5965, prior_entropy: 1, recall: 0.5965, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6352, root_relative_squared_error: 1.2704, usercpu_time_millis: 6.328, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 6.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.4875, kappa: -0.0033, kb_relative_information_score: -4, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4982, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7083, root_relative_squared_error: 1.4165, usercpu_time_millis: 2.26, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 2.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5883, f_measure: 0.5883, kappa: 0.1766, kb_relative_information_score: 214, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5883, predictive_accuracy: 0.5883, prior_entropy: 1, recall: 0.5883, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6417, root_relative_squared_error: 1.2833, usercpu_time_millis: 44.784, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 44.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5891, f_measure: 0.5889, kappa: 0.1782, kb_relative_information_score: 216, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5892, predictive_accuracy: 0.5891, prior_entropy: 1, recall: 0.5891, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.641, root_relative_squared_error: 1.282, usercpu_time_millis: 39.723, usercpu_time_millis_testing: 0.743, usercpu_time_millis_training: 38.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5842, f_measure: 0.5839, kappa: 0.1683, kb_relative_information_score: 204, mean_absolute_error: 0.4158, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5844, predictive_accuracy: 0.5842, prior_entropy: 1, recall: 0.5842, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6449, root_relative_squared_error: 1.2897, usercpu_time_millis: 234.486, usercpu_time_millis_testing: 12.225, usercpu_time_millis_training: 222.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142, usercpu_time_millis: 17.935, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 17.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5165, f_measure: 0.5105, kappa: 0.033, kb_relative_information_score: 40, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5174, predictive_accuracy: 0.5165, prior_entropy: 1, recall: 0.5165, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6953, root_relative_squared_error: 1.3907, usercpu_time_millis: 1.965, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 1.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.5017, kappa: 0.0033, kb_relative_information_score: 4, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5017, predictive_accuracy: 0.5017, prior_entropy: 1, recall: 0.5017, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7059, root_relative_squared_error: 1.4119, usercpu_time_millis: 1.685, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6485, f_measure: 0.6056, kappa: 0.297, kb_relative_information_score: 360, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7632, predictive_accuracy: 0.6485, prior_entropy: 1, recall: 0.6485, relative_absolute_error: 0.703, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5929, root_relative_squared_error: 1.1857, usercpu_time_millis: 2.762, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 2.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8812, kappa: 0.7624, kb_relative_information_score: 924, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.8813, predictive_accuracy: 0.8812, prior_entropy: 1, recall: 0.8812, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6894, usercpu_time_millis: 72.685, usercpu_time_millis_testing: 1.844, usercpu_time_millis_training: 70.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.7607, kappa: 0.5215, kb_relative_information_score: 632, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7607, predictive_accuracy: 0.7607, prior_entropy: 1, recall: 0.7607, relative_absolute_error: 0.4785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9783, usercpu_time_millis: 22.535, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 22.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5215, f_measure: 0.5187, kappa: 0.0429, kb_relative_information_score: 52, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.522, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6918, root_relative_squared_error: 1.3835, usercpu_time_millis: 1.952, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 1.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5091, f_measure: 0.4365, kappa: 0.0182, kb_relative_information_score: 22, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5187, predictive_accuracy: 0.5091, prior_entropy: 1, recall: 0.5091, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7007, root_relative_squared_error: 1.4013, usercpu_time_millis: 12.664, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 12.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5206, f_measure: 0.5183, kappa: 0.0413, kb_relative_information_score: 50, mean_absolute_error: 0.4794, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.521, predictive_accuracy: 0.5206, prior_entropy: 1, recall: 0.5206, relative_absolute_error: 0.9587, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6924, root_relative_squared_error: 1.3847, usercpu_time_millis: 8.946, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 8.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5417, f_measure: 0.5317, kappa: 0.0743, kb_relative_information_score: 58.4572, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5389, predictive_accuracy: 0.5371, prior_entropy: 1, recall: 0.5371, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5515, root_relative_squared_error: 1.1029, scimark_benchmark: 1092.5039, usercpu_time_millis: 490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6184, f_measure: 0.5924, kappa: 0.1848, kb_relative_information_score: 89.6531, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5925, predictive_accuracy: 0.5924, prior_entropy: 1, recall: 0.5924, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9858, scimark_benchmark: 1163.6706, usercpu_time_millis: 2520, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 2300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4911, f_measure: 0.5136, kappa: 0.0281, kb_relative_information_score: 1.5471, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5141, predictive_accuracy: 0.514, prior_entropy: 1, recall: 0.514, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0067, scimark_benchmark: 1358.6506, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.4651, kappa: 0.0066, kb_relative_information_score: -1.7372, mean_absolute_error: 0.5012, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5046, predictive_accuracy: 0.5033, prior_entropy: 1, recall: 0.5033, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6814, root_relative_squared_error: 1.3629, scimark_benchmark: 1275.2393, usercpu_time_millis: 90, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5792, f_measure: 0.4986, kappa: 0.1584, kb_relative_information_score: 192, mean_absolute_error: 0.4208, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.722, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.8416, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6487, root_relative_squared_error: 1.2974, scimark_benchmark: 1138.4866, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5528, f_measure: 0.5079, kappa: 0.1056, kb_relative_information_score: 128, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5831, predictive_accuracy: 0.5528, prior_entropy: 1, recall: 0.5528, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6687, root_relative_squared_error: 1.3375, scimark_benchmark: 868.6291, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5351, f_measure: 0.5238, kappa: 0.0495, kb_relative_information_score: 35.0495, mean_absolute_error: 0.4875, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.525, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5303, root_relative_squared_error: 1.0606, scimark_benchmark: 1102.771, usercpu_time_millis: 520, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, f_measure: 0.5157, kappa: 0.0429, kb_relative_information_score: 18.9707, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5225, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5146, root_relative_squared_error: 1.0292, scimark_benchmark: 1319.0458, usercpu_time_millis: 460, usercpu_time_millis_testing: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4926, kappa: -0.0149, kb_relative_information_score: -29.8651, mean_absolute_error: 0.5124, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4926, predictive_accuracy: 0.4926, prior_entropy: 1, recall: 0.4926, relative_absolute_error: 1.0248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7116, root_relative_squared_error: 1.4233, scimark_benchmark: 1360.9898, usercpu_time_millis: 200, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.4779, kappa: -0.0066, kb_relative_information_score: -7.3161, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4961, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.0077, scimark_benchmark: 546.4767, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.4868, kappa: -0.0264, kb_relative_information_score: -8.7381, mean_absolute_error: 0.5023, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4868, predictive_accuracy: 0.4868, prior_entropy: 1, recall: 0.4868, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6089, root_relative_squared_error: 1.2178, scimark_benchmark: 1001.2618, usercpu_time_millis: 570, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5148, f_measure: 0.4706, kappa: 0.0132, kb_relative_information_score: 9.7593, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5091, predictive_accuracy: 0.5066, prior_entropy: 1, recall: 0.5066, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.031, scimark_benchmark: 1071.0896, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5139, f_measure: 0.5015, kappa: 0.0297, kb_relative_information_score: 15.9606, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5166, predictive_accuracy: 0.5149, prior_entropy: 1, recall: 0.5149, relative_absolute_error: 0.9891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5115, root_relative_squared_error: 1.023, scimark_benchmark: 982.1193, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4893, f_measure: 0.4547, kappa: -0.0215, kb_relative_information_score: -26, mean_absolute_error: 0.5107, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4856, predictive_accuracy: 0.4893, prior_entropy: 1, recall: 0.4893, relative_absolute_error: 1.0215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7147, root_relative_squared_error: 1.4293, scimark_benchmark: 677.0288, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5175, f_measure: 0.5057, kappa: 0.0116, kb_relative_information_score: 19.7424, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5058, predictive_accuracy: 0.5058, prior_entropy: 1, recall: 0.5058, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5428, root_relative_squared_error: 1.0856, scimark_benchmark: 908.4513, usercpu_time_millis: 210, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5331, f_measure: 0.5192, kappa: 0.0495, kb_relative_information_score: 26.1911, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5259, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9826, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5186, root_relative_squared_error: 1.0373, scimark_benchmark: 1204.8736, usercpu_time_millis: 170, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5804, f_measure: 0.5268, kappa: 0.1056, kb_relative_information_score: 128.9147, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5677, predictive_accuracy: 0.5528, prior_entropy: 1, recall: 0.5528, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5647, root_relative_squared_error: 1.1295, scimark_benchmark: 1212.5225, usercpu_time_millis: 470, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.4703, kappa: 0.0017, kb_relative_information_score: 7.9368, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5011, predictive_accuracy: 0.5008, prior_entropy: 1, recall: 0.5008, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6089, root_relative_squared_error: 1.2178, scimark_benchmark: 1046.8405, usercpu_time_millis: 190, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.5342, kappa: 0.137, kb_relative_information_score: 44.8608, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5971, predictive_accuracy: 0.5685, prior_entropy: 1, recall: 0.5685, relative_absolute_error: 0.9707, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9803, scimark_benchmark: 622.3123, usercpu_time_millis: 4290, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4839, f_measure: 0.4879, kappa: -0.0132, kb_relative_information_score: -5.4532, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4931, predictive_accuracy: 0.4934, prior_entropy: 1, recall: 0.4934, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.0075, scimark_benchmark: 841.0762, usercpu_time_millis: 5820, usercpu_time_millis_training: 5820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4757, f_measure: 0.4652, kappa: -0.0413, kb_relative_information_score: -1.594, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4769, predictive_accuracy: 0.4794, prior_entropy: 1, recall: 0.4794, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0011, scimark_benchmark: 832.2062, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4791, f_measure: 0.4418, kappa: -0.005, kb_relative_information_score: -2.3024, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4959, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0028, scimark_benchmark: 992.8332, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0106, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 901.458, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.6683, kappa: 0.3762, kb_relative_information_score: 456, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7471, predictive_accuracy: 0.6881, prior_entropy: 1, recall: 0.6881, relative_absolute_error: 0.6238, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5585, root_relative_squared_error: 1.1169, scimark_benchmark: 942.1922, usercpu_time_millis: 34080, usercpu_time_millis_testing: 850, usercpu_time_millis_training: 33230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.587, f_measure: 0.5832, kappa: 0.1667, kb_relative_information_score: 189.3744, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5835, predictive_accuracy: 0.5833, prior_entropy: 1, recall: 0.5833, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6106, root_relative_squared_error: 1.2211, scimark_benchmark: 930.1844, usercpu_time_millis: 220, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.4651, kappa: 0.0066, kb_relative_information_score: -1.7372, mean_absolute_error: 0.5012, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5046, predictive_accuracy: 0.5033, prior_entropy: 1, recall: 0.5033, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6814, root_relative_squared_error: 1.3629, scimark_benchmark: 901.458, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.8038, kappa: 0.6188, kb_relative_information_score: 522.3711, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.8494, predictive_accuracy: 0.8094, prior_entropy: 1, recall: 0.8094, relative_absolute_error: 0.5872, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7452, scimark_benchmark: 1351.0602, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, f_measure: 0.6145, kappa: 0.2294, kb_relative_information_score: 120.0544, mean_absolute_error: 0.4581, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.615, predictive_accuracy: 0.6147, prior_entropy: 1, recall: 0.6147, relative_absolute_error: 0.9161, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4876, root_relative_squared_error: 0.9753, scimark_benchmark: 944.8364, usercpu_time_millis: 134560, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 134100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4836, f_measure: 0.4745, kappa: -0.0215, kb_relative_information_score: -1.3036, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4879, predictive_accuracy: 0.4893, prior_entropy: 1, recall: 0.4893, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4825, f_measure: 0.4738, kappa: -0.0231, kb_relative_information_score: -0.9382, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.487, predictive_accuracy: 0.4884, prior_entropy: 1, recall: 0.4884, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.4651, kappa: 0.0066, kb_relative_information_score: -1.7372, mean_absolute_error: 0.5012, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5046, predictive_accuracy: 0.5033, prior_entropy: 1, recall: 0.5033, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6814, root_relative_squared_error: 1.3629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4911, f_measure: 0.4963, kappa: -0.0066, kb_relative_information_score: -2.8126, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4967, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4967, kappa: -0.0066, kb_relative_information_score: -8, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4967, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,

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