Task
Supervised Classification on Australian

Supervised Classification on Australian

Task 125923 Supervised Classification Australian 208614 runs submitted
1 likes downloaded by 6 people , 12 total downloads 0 issues
Visibility: Public
  • OpenML100 study_107 study_123 study_14
Issue #Downvotes for this reason By


Metric:

208614 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: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0029, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1326.2796, usercpu_time_millis: 0.098, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0029, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1308.0226, usercpu_time_millis: 0.088, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1314.9837, usercpu_time_millis: 0.271, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0029, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1310.7915, usercpu_time_millis: 0.099, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1343.3273, usercpu_time_millis: 0.139, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1335.3691, usercpu_time_millis: 0.112, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1345.3992, usercpu_time_millis: 0.116, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0029, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1307.2687, usercpu_time_millis: 0.091, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0029, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1360.2059, usercpu_time_millis: 0.092, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.2863, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7102, scimark_benchmark: 1283.3699, usercpu_time_millis: 115.45, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 115.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8728, kappa: 0.7435, kb_relative_information_score: 432.527, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8745, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.3989, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6355, scimark_benchmark: 1318.657, usercpu_time_millis: 1.504, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 391.1988, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.6872, scimark_benchmark: 1314.1669, usercpu_time_millis: 0.66, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 368.4016, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.509, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6964, scimark_benchmark: 1309.5545, usercpu_time_millis: 700.525, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 700.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.3963, kb_relative_information_score: -0.1188, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0002, scimark_benchmark: 1279.9516, usercpu_time_millis: 1.994, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.6828, kappa: 0.3706, kb_relative_information_score: 120.8204, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7285, predictive_accuracy: 0.7029, prior_entropy: 0.9913, recall: 0.7029, relative_absolute_error: 0.85, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9138, scimark_benchmark: 1319.6673, usercpu_time_millis: 1.298, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.6102, kappa: 0.236, kb_relative_information_score: 66.7226, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6598, predictive_accuracy: 0.642, prior_entropy: 0.9913, recall: 0.642, relative_absolute_error: 0.9137, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4721, root_relative_squared_error: 0.95, scimark_benchmark: 1322.6911, usercpu_time_millis: 2.383, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 2.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.3963, kb_relative_information_score: -0.0449, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1293.6224, usercpu_time_millis: 1.76, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 1.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8521, kappa: 0.7005, kb_relative_information_score: 382.3674, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8521, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6775, scimark_benchmark: 1318.1834, usercpu_time_millis: 0.838, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.7941, kappa: 0.5828, kb_relative_information_score: 275.2854, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.794, predictive_accuracy: 0.7942, prior_entropy: 0.9913, recall: 0.7942, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.7971, scimark_benchmark: 1291.7358, usercpu_time_millis: 1.42, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.7746, kappa: 0.5427, kb_relative_information_score: 182.4097, mean_absolute_error: 0.3823, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7821, predictive_accuracy: 0.7783, prior_entropy: 0.9913, recall: 0.7783, relative_absolute_error: 0.774, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8581, scimark_benchmark: 1296.6882, usercpu_time_millis: 1.105, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.8188, kappa: 0.6331, kb_relative_information_score: 338.3674, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8188, predictive_accuracy: 0.8188, prior_entropy: 0.9913, recall: 0.8188, relative_absolute_error: 0.5403, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7295, scimark_benchmark: 1288.7783, usercpu_time_millis: 1.378, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.601, f_measure: 0.3968, kappa: -0.008, kb_relative_information_score: 4.5619, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3961, predictive_accuracy: 0.5507, prior_entropy: 0.9913, recall: 0.5507, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9978, scimark_benchmark: 1298.6054, usercpu_time_millis: 2.695, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 2.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7775, kappa: 0.5482, kb_relative_information_score: 225.6812, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7807, predictive_accuracy: 0.7797, prior_entropy: 0.9913, recall: 0.7797, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8255, scimark_benchmark: 1286.6073, usercpu_time_millis: 1.023, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.6487, kappa: 0.3126, kb_relative_information_score: 97.0497, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7124, predictive_accuracy: 0.6783, prior_entropy: 0.9913, recall: 0.6783, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9356, scimark_benchmark: 1295.6548, usercpu_time_millis: 1.336, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 381.9241, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4853, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6918, scimark_benchmark: 1313.2145, usercpu_time_millis: 0.922, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.5102, kappa: 0.0963, kb_relative_information_score: 54.2726, mean_absolute_error: 0.4595, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6087, predictive_accuracy: 0.587, prior_entropy: 0.9913, recall: 0.587, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.477, root_relative_squared_error: 0.9597, scimark_benchmark: 1289.3851, usercpu_time_millis: 2.613, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 2.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 365.5976, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5109, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7096, scimark_benchmark: 1315.409, usercpu_time_millis: 1.794, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 1.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.8011, kappa: 0.5968, kb_relative_information_score: 241.6828, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8011, predictive_accuracy: 0.8014, prior_entropy: 0.9913, recall: 0.8014, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8191, scimark_benchmark: 1300.778, usercpu_time_millis: 2.176, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 2.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8307, kappa: 0.6563, kb_relative_information_score: 321.3357, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8328, predictive_accuracy: 0.8319, prior_entropy: 0.9913, recall: 0.8319, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7241, scimark_benchmark: 1313.0582, usercpu_time_millis: 0.921, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.6748, kappa: 0.3551, kb_relative_information_score: 116.8323, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7198, predictive_accuracy: 0.6957, prior_entropy: 0.9913, recall: 0.6957, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9178, scimark_benchmark: 1290.4685, usercpu_time_millis: 1.311, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.7998, kappa: 0.6055, kb_relative_information_score: 304.6264, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8226, predictive_accuracy: 0.8, prior_entropy: 0.9913, recall: 0.8, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.757, scimark_benchmark: 1312.6309, usercpu_time_millis: 1.986, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 1.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.3963, kb_relative_information_score: -0.1413, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001, scimark_benchmark: 1289.487, usercpu_time_millis: 1.864, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 1.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.854, kappa: 0.7086, kb_relative_information_score: 380.4622, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8645, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.6929, scimark_benchmark: 1313.6957, usercpu_time_millis: 0.747, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8482, kappa: 0.6975, kb_relative_information_score: 400.9423, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8601, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6826, scimark_benchmark: 1287.3853, usercpu_time_millis: 2.15, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 2.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.648, f_measure: 0.641, kappa: 0.2993, kb_relative_information_score: 92.4257, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7072, predictive_accuracy: 0.6725, prior_entropy: 0.9913, recall: 0.6725, relative_absolute_error: 0.8835, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9392, scimark_benchmark: 1315.1852, usercpu_time_millis: 1.369, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.72, kappa: 0.4607, kb_relative_information_score: 141.7728, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7637, predictive_accuracy: 0.7232, prior_entropy: 0.9913, recall: 0.7232, relative_absolute_error: 0.8175, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.442, root_relative_squared_error: 0.8893, scimark_benchmark: 1304.2073, usercpu_time_millis: 1.956, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 1.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5859, f_measure: 0.3968, kappa: -0.008, kb_relative_information_score: 2.0494, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3961, predictive_accuracy: 0.5507, prior_entropy: 0.9913, recall: 0.5507, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9991, scimark_benchmark: 1313.1295, usercpu_time_millis: 2.156, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 2.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.8107, kappa: 0.6199, kb_relative_information_score: 246.9504, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8155, predictive_accuracy: 0.8101, prior_entropy: 0.9913, recall: 0.8101, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8088, scimark_benchmark: 1313.5372, usercpu_time_millis: 2.178, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 2.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 361.8476, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7127, scimark_benchmark: 1279.8827, usercpu_time_millis: 408.109, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 408.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, f_measure: 0.3963, kb_relative_information_score: 0.0768, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1293.3319, usercpu_time_millis: 3.155, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 3.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.4651, kappa: 0.0432, kb_relative_information_score: 43.8927, mean_absolute_error: 0.4669, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.572, predictive_accuracy: 0.5667, prior_entropy: 0.9913, recall: 0.5667, relative_absolute_error: 0.9452, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.483, root_relative_squared_error: 0.972, scimark_benchmark: 1284.0804, usercpu_time_millis: 2.941, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 2.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 405.5015, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.6774, scimark_benchmark: 1286.4495, usercpu_time_millis: 0.685, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.779, kappa: 0.5513, kb_relative_information_score: 230.9337, mean_absolute_error: 0.3454, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7821, predictive_accuracy: 0.7812, prior_entropy: 0.9913, recall: 0.7812, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8267, scimark_benchmark: 1306.082, usercpu_time_millis: 1.024, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4747, f_measure: 0.3943, kappa: -0.0087, kb_relative_information_score: -2.1021, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.307, predictive_accuracy: 0.5507, prior_entropy: 0.9913, recall: 0.5507, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0033, scimark_benchmark: 1314.4162, usercpu_time_millis: 2.595, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 2.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.6474, kappa: 0.3098, kb_relative_information_score: 96.9466, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7096, predictive_accuracy: 0.6768, prior_entropy: 0.9913, recall: 0.6768, relative_absolute_error: 0.877, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.465, root_relative_squared_error: 0.9357, scimark_benchmark: 1313.833, usercpu_time_millis: 1.283, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.6499, kappa: 0.3155, kb_relative_information_score: 96.3464, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7152, predictive_accuracy: 0.6797, prior_entropy: 0.9913, recall: 0.6797, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9352, scimark_benchmark: 1286.5651, usercpu_time_millis: 1.288, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.6481, kappa: 0.3184, kb_relative_information_score: 102.5188, mean_absolute_error: 0.4322, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7319, predictive_accuracy: 0.6826, prior_entropy: 0.9913, recall: 0.6826, relative_absolute_error: 0.8749, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9201, scimark_benchmark: 1314.7482, usercpu_time_millis: 1.313, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8374, kappa: 0.6705, kb_relative_information_score: 375.8557, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8374, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.6887, scimark_benchmark: 1314.7385, usercpu_time_millis: 2.255, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 2.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.8042, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7099, scimark_benchmark: 1291.6655, usercpu_time_millis: 4.181, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 4.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.799, kappa: 0.5918, kb_relative_information_score: 211.9582, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8042, predictive_accuracy: 0.8014, prior_entropy: 0.9913, recall: 0.8014, relative_absolute_error: 0.736, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8139, scimark_benchmark: 1284.9041, usercpu_time_millis: 52.176, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 52.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 367.1175, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.5113, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.697, scimark_benchmark: 1294.4323, usercpu_time_millis: 668.553, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 668.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.3963, kb_relative_information_score: 0.4093, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002, scimark_benchmark: 1306.036, usercpu_time_millis: 1.717, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 1.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 374.376, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.699, scimark_benchmark: 1279.437, usercpu_time_millis: 0.977, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.7786, kappa: 0.568, kb_relative_information_score: 251.0506, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8113, predictive_accuracy: 0.7797, prior_entropy: 0.9913, recall: 0.7797, relative_absolute_error: 0.6662, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8014, scimark_benchmark: 1311.8614, usercpu_time_millis: 2.036, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 1.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8521, kappa: 0.7005, kb_relative_information_score: 382.4189, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8521, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6775, scimark_benchmark: 1311.7394, usercpu_time_millis: 0.785, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8526, kappa: 0.7042, kb_relative_information_score: 415.2614, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8577, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.6767, scimark_benchmark: 1296.8353, usercpu_time_millis: 2.001, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 1.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8612, kappa: 0.723, kb_relative_information_score: 431.5026, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8714, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.645, scimark_benchmark: 1309.7087, usercpu_time_millis: 0.733, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8583, kappa: 0.7174, kb_relative_information_score: 426.7632, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8692, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.4086, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6511, scimark_benchmark: 1311.2454, usercpu_time_millis: 0.668, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 409.0774, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4387, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6659, scimark_benchmark: 1314.6576, usercpu_time_millis: 1.332, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 1.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8667, kappa: 0.7304, kb_relative_information_score: 429.4979, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8669, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4035, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6381, scimark_benchmark: 1311.0587, usercpu_time_millis: 2.157, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 2.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8467, kappa: 0.6904, kb_relative_information_score: 405.4432, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8476, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.329, root_relative_squared_error: 0.662, scimark_benchmark: 1294.1981, usercpu_time_millis: 1.73, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 1.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8654, kappa: 0.7281, kb_relative_information_score: 424.6023, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8661, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.6478, scimark_benchmark: 1292.3881, usercpu_time_millis: 1.703, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 1.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.3963, kb_relative_information_score: -0.0926, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001, scimark_benchmark: 1279.3105, usercpu_time_millis: 1.874, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 1.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.5164, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5127, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7101, scimark_benchmark: 1284.1932, usercpu_time_millis: 12.823, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 12.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8612, kappa: 0.723, kb_relative_information_score: 431.4545, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8714, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.4007, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.645, scimark_benchmark: 1284.3033, usercpu_time_millis: 0.872, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6388, f_measure: 0.3986, kappa: -0.0101, kb_relative_information_score: 12.0193, mean_absolute_error: 0.4866, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4181, predictive_accuracy: 0.5493, prior_entropy: 0.9913, recall: 0.5493, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9926, scimark_benchmark: 1279.6864, usercpu_time_millis: 3.741, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 3.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8627, kappa: 0.7237, kb_relative_information_score: 414.9967, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8657, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.333, root_relative_squared_error: 0.67, scimark_benchmark: 1307.132, usercpu_time_millis: 1.844, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 1.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.6644, kappa: 0.3377, kb_relative_information_score: 107.1817, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7159, predictive_accuracy: 0.6884, prior_entropy: 0.9913, recall: 0.6884, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9245, scimark_benchmark: 1315.7387, usercpu_time_millis: 1.279, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8612, kappa: 0.723, kb_relative_information_score: 432.1287, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8714, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.644, scimark_benchmark: 1295.1176, usercpu_time_millis: 0.701, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 382.5641, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.6915, scimark_benchmark: 1311.797, usercpu_time_millis: 0.719, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.8331, kappa: 0.6616, kb_relative_information_score: 304.4559, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8331, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7511, scimark_benchmark: 1282.9273, usercpu_time_millis: 0.862, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8714, kappa: 0.7416, kb_relative_information_score: 431.5896, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8758, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6377, scimark_benchmark: 1302.9516, usercpu_time_millis: 0.893, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8555, kappa: 0.7103, kb_relative_information_score: 416.9852, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8617, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.6758, scimark_benchmark: 1300.454, usercpu_time_millis: 2.042, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 1.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.6141, kappa: 0.266, kb_relative_information_score: 92.7477, mean_absolute_error: 0.4372, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7227, predictive_accuracy: 0.6609, prior_entropy: 0.9913, recall: 0.6609, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.932, scimark_benchmark: 1316.9901, usercpu_time_millis: 1.403, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.7738, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6909, scimark_benchmark: 1315.2754, usercpu_time_millis: 0.689, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5678, f_measure: 0.3943, kappa: -0.0087, kb_relative_information_score: 0.251, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.307, predictive_accuracy: 0.5507, prior_entropy: 0.9913, recall: 0.5507, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0007, scimark_benchmark: 1306.0925, usercpu_time_millis: 2.619, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 2.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 369.7203, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7054, scimark_benchmark: 1288.5522, usercpu_time_millis: 1.416, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 1.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7015, kappa: 0.4009, kb_relative_information_score: 136.6429, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7285, predictive_accuracy: 0.7145, prior_entropy: 0.9913, recall: 0.7145, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.8982, scimark_benchmark: 1291.4146, usercpu_time_millis: 1.237, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.626, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.71, scimark_benchmark: 1297.0808, usercpu_time_millis: 7.389, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 7.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.857, kappa: 0.7128, kb_relative_information_score: 411.4879, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8618, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6783, scimark_benchmark: 1313.0233, usercpu_time_millis: 1.881, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8728, kappa: 0.7441, kb_relative_information_score: 431.8054, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8761, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.3999, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6379, scimark_benchmark: 1272.9899, usercpu_time_millis: 0.835, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 388.1604, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4747, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.6891, scimark_benchmark: 1298.0739, usercpu_time_millis: 0.69, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.3963, kb_relative_information_score: -0.1361, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001, scimark_benchmark: 1287.8293, usercpu_time_millis: 1.879, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, f_measure: 0.3982, kappa: -0.0022, kb_relative_information_score: -1.4713, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4561, predictive_accuracy: 0.5536, prior_entropy: 0.9913, recall: 0.5536, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.003, scimark_benchmark: 1297.1733, usercpu_time_millis: 2.686, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 2.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.7541, kappa: 0.5041, kb_relative_information_score: 186.6273, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7759, predictive_accuracy: 0.7623, prior_entropy: 0.9913, recall: 0.7623, relative_absolute_error: 0.7655, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8474, scimark_benchmark: 1285.2247, usercpu_time_millis: 0.918, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8564, kappa: 0.7092, kb_relative_information_score: 377.1484, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8564, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4857, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.6844, scimark_benchmark: 1318.966, usercpu_time_millis: 1.304, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7465, kappa: 0.4857, kb_relative_information_score: 190.4021, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7534, predictive_accuracy: 0.7507, prior_entropy: 0.9913, recall: 0.7507, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.8501, scimark_benchmark: 1291.4324, usercpu_time_millis: 1.395, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8046, kappa: 0.604, kb_relative_information_score: 283.4498, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8174, predictive_accuracy: 0.8087, prior_entropy: 0.9913, recall: 0.8087, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.376, root_relative_squared_error: 0.7566, scimark_benchmark: 1313.4403, usercpu_time_millis: 1.465, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 1.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8569, kappa: 0.7146, kb_relative_information_score: 422.0948, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6589, scimark_benchmark: 1311.6117, usercpu_time_millis: 0.708, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5054, f_measure: 0.3943, kappa: -0.0087, kb_relative_information_score: -1.4822, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.307, predictive_accuracy: 0.5507, prior_entropy: 0.9913, recall: 0.5507, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0029, scimark_benchmark: 1309.2899, usercpu_time_millis: 2.357, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 2.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8625, kappa: 0.7222, kb_relative_information_score: 420.4221, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8632, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.6524, scimark_benchmark: 1309.6329, usercpu_time_millis: 1.057, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.8475, kappa: 0.6908, kb_relative_information_score: 333.4157, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8476, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5523, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.7175, scimark_benchmark: 1307.5341, usercpu_time_millis: 1.331, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8363, kappa: 0.6685, kb_relative_information_score: 373.7453, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8363, predictive_accuracy: 0.8362, prior_entropy: 0.9913, recall: 0.8362, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6932, scimark_benchmark: 1284.1166, usercpu_time_millis: 1.311, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8582, kappa: 0.7134, kb_relative_information_score: 423.7161, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8587, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.6484, scimark_benchmark: 1289.0964, usercpu_time_millis: 1.865, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 1.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 386.747, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.6896, scimark_benchmark: 1313.2882, usercpu_time_millis: 0.65, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.3963, kb_relative_information_score: -0.0635, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1289.8597, usercpu_time_millis: 1.872, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.7181, kappa: 0.4315, kb_relative_information_score: 155.4804, mean_absolute_error: 0.3983, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7371, predictive_accuracy: 0.7275, prior_entropy: 0.9913, recall: 0.7275, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8818, scimark_benchmark: 1293.9489, usercpu_time_millis: 1.292, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8347, kappa: 0.6653, kb_relative_information_score: 325.4072, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8347, predictive_accuracy: 0.8348, prior_entropy: 0.9913, recall: 0.8348, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7278, scimark_benchmark: 1298.0727, usercpu_time_millis: 0.805, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.3436, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7101, scimark_benchmark: 1288.3112, usercpu_time_millis: 51.534, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 51.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8583, kappa: 0.7174, kb_relative_information_score: 423.2485, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8692, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6516, scimark_benchmark: 1315.2387, usercpu_time_millis: 1.145, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.107,

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