OpenML
Supervised Classification on tae

Supervised Classification on tae

Task 3818 Supervised Classification tae 803 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

803 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.622, f_measure: 0.6676, kappa: 0.2452, kb_relative_information_score: 18.1172, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6705, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9733, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.8578, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8656, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9428, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.6817, kappa: 0.2793, kb_relative_information_score: 21.105, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6809, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9596, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5284, f_measure: 0.5688, kappa: 0.0718, kb_relative_information_score: 35.5838, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6682, predictive_accuracy: 0.6689, prior_entropy: 0.9308, recall: 0.6689, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5754, root_relative_squared_error: 1.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.8004, kappa: 0.556, kb_relative_information_score: 81.6294, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7997, predictive_accuracy: 0.8013, prior_entropy: 0.9308, recall: 0.8013, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.8578, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8656, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9428, scimark_benchmark: 1887.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5932, f_measure: 0.6979, kappa: 0.3173, kb_relative_information_score: 19.165, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6969, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9589, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, f_measure: 0.7152, kappa: 0.3545, kb_relative_information_score: 36.2046, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.718, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9728, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.594, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 21.4931, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8761, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9524, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7881, kappa: 0.5307, kb_relative_information_score: 53.2564, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7881, predictive_accuracy: 0.7881, prior_entropy: 0.9308, recall: 0.7881, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8665, scimark_benchmark: 1806.5905, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5911, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 21.0159, mean_absolute_error: 0.3976, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9528, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, f_measure: 0.7687, kappa: 0.489, kb_relative_information_score: 65.2687, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7693, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4843, root_relative_squared_error: 1.0192, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.8578, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8656, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9428, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.6817, kappa: 0.2793, kb_relative_information_score: 21.105, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6809, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9596, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.5193, kb_relative_information_score: -0.1809, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.4299, predictive_accuracy: 0.6556, prior_entropy: 0.9308, recall: 0.6556, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0003, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.7665, kappa: 0.4796, kb_relative_information_score: 70.118, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7654, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.0132, usercpu_time_millis: 343.521, usercpu_time_millis_testing: 6.054, usercpu_time_millis_training: 337.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.654, f_measure: 0.6963, kappa: 0.3183, kb_relative_information_score: 47.0952, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6938, predictive_accuracy: 0.702, prior_entropy: 0.9308, recall: 0.702, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.1489, usercpu_time_millis: 9.815, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 9.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.7942, kappa: 0.5433, kb_relative_information_score: 79.3271, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7938, predictive_accuracy: 0.7947, prior_entropy: 0.9308, recall: 0.7947, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9536, usercpu_time_millis: 9.995, usercpu_time_millis_testing: 2.997, usercpu_time_millis_training: 6.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5735, f_measure: 0.6319, kappa: 0.1643, kb_relative_information_score: 33.2815, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6349, predictive_accuracy: 0.6623, prior_entropy: 0.9308, recall: 0.6623, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5812, root_relative_squared_error: 1.2231, usercpu_time_millis: 7.935, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 7.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.7312, kappa: 0.3919, kb_relative_information_score: 60.9089, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.733, predictive_accuracy: 0.7417, prior_entropy: 0.9308, recall: 0.7417, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5082, root_relative_squared_error: 1.0695, usercpu_time_millis: 2.52, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 2.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7416, f_measure: 0.7726, kappa: 0.4921, kb_relative_information_score: 72.4203, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7714, predictive_accuracy: 0.7748, prior_entropy: 0.9308, recall: 0.7748, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9986, usercpu_time_millis: 1.177, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6521, f_measure: 0.6787, kappa: 0.2974, kb_relative_information_score: 37.8861, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6834, predictive_accuracy: 0.6755, prior_entropy: 0.9308, recall: 0.6755, relative_absolute_error: 0.7176, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5697, root_relative_squared_error: 1.1988, usercpu_time_millis: 0.177, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, f_measure: 0.7209, kappa: 0.3671, kb_relative_information_score: 58.6066, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7256, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.0832, usercpu_time_millis: 0.154, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.7908, kappa: 0.5304, kb_relative_information_score: 79.3271, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7906, predictive_accuracy: 0.7947, prior_entropy: 0.9308, recall: 0.7947, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9536, usercpu_time_millis: 1.436, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 1.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, f_measure: 0.693, kappa: 0.3039, kb_relative_information_score: 49.3975, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.695, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5398, root_relative_squared_error: 1.136, usercpu_time_millis: 2.446, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 2.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.7267, kappa: 0.3799, kb_relative_information_score: 60.9089, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7335, predictive_accuracy: 0.7417, prior_entropy: 0.9308, recall: 0.7417, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5082, root_relative_squared_error: 1.0695, usercpu_time_millis: 1.453, usercpu_time_millis_testing: 0.581, usercpu_time_millis_training: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.6047, kappa: 0.1087, kb_relative_information_score: 17.1656, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.5987, predictive_accuracy: 0.6159, prior_entropy: 0.9308, recall: 0.6159, relative_absolute_error: 0.8494, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.6198, root_relative_squared_error: 1.3043, usercpu_time_millis: 1.286, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, f_measure: 0.693, kappa: 0.3039, kb_relative_information_score: 49.3975, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.695, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5398, root_relative_squared_error: 1.136, usercpu_time_millis: 0.189, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6358, f_measure: 0.6874, kappa: 0.2915, kb_relative_information_score: 47.0952, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6879, predictive_accuracy: 0.702, prior_entropy: 0.9308, recall: 0.702, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.1489, usercpu_time_millis: 0.164, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5375, f_measure: 0.5857, kappa: 0.0928, kb_relative_information_score: 35.5838, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6484, predictive_accuracy: 0.6689, prior_entropy: 0.9308, recall: 0.6689, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5754, root_relative_squared_error: 1.211, usercpu_time_millis: 0.201, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6738, f_measure: 0.7157, kappa: 0.3607, kb_relative_information_score: 54.002, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7138, predictive_accuracy: 0.7219, prior_entropy: 0.9308, recall: 0.7219, relative_absolute_error: 0.6151, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5274, root_relative_squared_error: 1.1099, usercpu_time_millis: 0.148, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.7037, kappa: 0.3296, kb_relative_information_score: 51.6997, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7036, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.6298, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5336, root_relative_squared_error: 1.1231, usercpu_time_millis: 0.72, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.7529, kappa: 0.4414, kb_relative_information_score: 67.8157, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7549, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0276, usercpu_time_millis: 0.407, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, f_measure: 0.693, kappa: 0.3039, kb_relative_information_score: 49.3975, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.695, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5398, root_relative_squared_error: 1.136, usercpu_time_millis: 0.185, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.6762, kappa: 0.265, kb_relative_information_score: 44.7929, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6789, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5519, root_relative_squared_error: 1.1616, usercpu_time_millis: 0.698, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, f_measure: 0.693, kappa: 0.3039, kb_relative_information_score: 49.3975, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.695, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5398, root_relative_squared_error: 1.136, usercpu_time_millis: 0.139, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6651, f_measure: 0.7152, kappa: 0.3545, kb_relative_information_score: 56.3043, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.718, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5211, root_relative_squared_error: 1.0966, usercpu_time_millis: 2.112, usercpu_time_millis_testing: 0.778, usercpu_time_millis_training: 1.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5735, f_measure: 0.6319, kappa: 0.1643, kb_relative_information_score: 33.2815, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6349, predictive_accuracy: 0.6623, prior_entropy: 0.9308, recall: 0.6623, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5812, root_relative_squared_error: 1.2231, usercpu_time_millis: 0.271, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 0.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, f_measure: 0.6956, kappa: 0.3106, kb_relative_information_score: 49.3975, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6958, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5398, root_relative_squared_error: 1.136, usercpu_time_millis: 1.693, usercpu_time_millis_testing: 0.559, usercpu_time_millis_training: 1.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.7687, kappa: 0.489, kb_relative_information_score: 70.118, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7693, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.0132, usercpu_time_millis: 1.503, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 0.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6166, f_measure: 0.6706, kappa: 0.2527, kb_relative_information_score: 42.4906, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6715, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.6883, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5579, root_relative_squared_error: 1.1741, usercpu_time_millis: 28.001, usercpu_time_millis_testing: 1.525, usercpu_time_millis_training: 26.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.6981, kappa: 0.3246, kb_relative_information_score: 47.0952, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6959, predictive_accuracy: 0.702, prior_entropy: 0.9308, recall: 0.702, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.1489, usercpu_time_millis: 6.317, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 5.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5193, kb_relative_information_score: 30.9792, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.4299, predictive_accuracy: 0.6556, prior_entropy: 0.9308, recall: 0.6556, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5868, root_relative_squared_error: 1.235, usercpu_time_millis: 0.751, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 0.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6348, f_measure: 0.6808, kappa: 0.2812, kb_relative_information_score: 42.4906, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6779, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.6883, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5579, root_relative_squared_error: 1.1741, usercpu_time_millis: 0.311, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5193, kb_relative_information_score: 30.9792, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.4299, predictive_accuracy: 0.6556, prior_entropy: 0.9308, recall: 0.6556, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5868, root_relative_squared_error: 1.235, usercpu_time_millis: 0.188, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, f_measure: 0.693, kappa: 0.3039, kb_relative_information_score: 49.3975, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.695, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5398, root_relative_squared_error: 1.136, usercpu_time_millis: 0.161, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5334, f_measure: 0.5728, kappa: 0.0851, kb_relative_information_score: 37.8861, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7156, predictive_accuracy: 0.6755, prior_entropy: 0.9308, recall: 0.6755, relative_absolute_error: 0.7176, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5697, root_relative_squared_error: 1.1988, usercpu_time_millis: 0.806, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 0.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6555, f_measure: 0.707, kappa: 0.3355, kb_relative_information_score: 54.002, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7103, predictive_accuracy: 0.7219, prior_entropy: 0.9308, recall: 0.7219, relative_absolute_error: 0.6151, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5274, root_relative_squared_error: 1.1099, usercpu_time_millis: 13.707, usercpu_time_millis_testing: 2.769, usercpu_time_millis_training: 10.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6555, f_measure: 0.707, kappa: 0.3355, kb_relative_information_score: 54.002, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7103, predictive_accuracy: 0.7219, prior_entropy: 0.9308, recall: 0.7219, relative_absolute_error: 0.6151, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5274, root_relative_squared_error: 1.1099, usercpu_time_millis: 10.638, usercpu_time_millis_testing: 2.036, usercpu_time_millis_training: 8.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.6808, kappa: 0.2812, kb_relative_information_score: 16.6121, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6779, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.6808, kappa: 0.2812, kb_relative_information_score: 16.6121, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6779, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.6981, kappa: 0.3246, kb_relative_information_score: 27.6, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6959, predictive_accuracy: 0.702, prior_entropy: 0.9308, recall: 0.702, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7665, kappa: 0.4796, kb_relative_information_score: 11.1484, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7654, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7665, kappa: 0.4796, kb_relative_information_score: 11.1484, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7654, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7665, kappa: 0.4796, kb_relative_information_score: 11.1484, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7654, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7665, kappa: 0.4796, kb_relative_information_score: 11.1484, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7654, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7665, kappa: 0.4796, kb_relative_information_score: 11.1484, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7654, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.693, kappa: 0.3039, kb_relative_information_score: 17.6833, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.695, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.693, kappa: 0.3039, kb_relative_information_score: 17.6833, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.695, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6369, f_measure: 0.5728, kappa: 0.0851, kb_relative_information_score: 7.6698, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7156, predictive_accuracy: 0.6755, prior_entropy: 0.9308, recall: 0.6755, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6369, f_measure: 0.5728, kappa: 0.0851, kb_relative_information_score: 7.6698, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7156, predictive_accuracy: 0.6755, prior_entropy: 0.9308, recall: 0.6755, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6369, f_measure: 0.5728, kappa: 0.0851, kb_relative_information_score: 7.6698, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7156, predictive_accuracy: 0.6755, prior_entropy: 0.9308, recall: 0.6755, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6369, f_measure: 0.5728, kappa: 0.0851, kb_relative_information_score: 7.6698, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7156, predictive_accuracy: 0.6755, prior_entropy: 0.9308, recall: 0.6755, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.707, kappa: 0.3355, kb_relative_information_score: 25.8245, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7103, predictive_accuracy: 0.7219, prior_entropy: 0.9308, recall: 0.7219, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.437, root_relative_squared_error: 0.9197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.6808, kappa: 0.2812, kb_relative_information_score: 16.6121, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6779, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.6808, kappa: 0.2812, kb_relative_information_score: 16.6121, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6779, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7665, kappa: 0.4796, kb_relative_information_score: 11.1484, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7654, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.693, kappa: 0.3039, kb_relative_information_score: 17.6833, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.695, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.693, kappa: 0.3039, kb_relative_information_score: 17.6833, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.695, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.693, kappa: 0.3039, kb_relative_information_score: 17.6833, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.695, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.693, kappa: 0.3039, kb_relative_information_score: 17.6833, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.695, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.707, kappa: 0.3355, kb_relative_information_score: 25.8245, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7103, predictive_accuracy: 0.7219, prior_entropy: 0.9308, recall: 0.7219, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.437, root_relative_squared_error: 0.9197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.707, kappa: 0.3355, kb_relative_information_score: 25.8245, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7103, predictive_accuracy: 0.7219, prior_entropy: 0.9308, recall: 0.7219, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.437, root_relative_squared_error: 0.9197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.707, kappa: 0.3355, kb_relative_information_score: 25.8245, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7103, predictive_accuracy: 0.7219, prior_entropy: 0.9308, recall: 0.7219, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.437, root_relative_squared_error: 0.9197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.707, kappa: 0.3355, kb_relative_information_score: 25.8245, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7103, predictive_accuracy: 0.7219, prior_entropy: 0.9308, recall: 0.7219, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.437, root_relative_squared_error: 0.9197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.707, kappa: 0.3355, kb_relative_information_score: 25.8245, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7103, predictive_accuracy: 0.7219, prior_entropy: 0.9308, recall: 0.7219, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.437, root_relative_squared_error: 0.9197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.6981, kappa: 0.3246, kb_relative_information_score: 27.6, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6959, predictive_accuracy: 0.702, prior_entropy: 0.9308, recall: 0.702, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.6981, kappa: 0.3246, kb_relative_information_score: 27.6, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6959, predictive_accuracy: 0.702, prior_entropy: 0.9308, recall: 0.702, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.6808, kappa: 0.2812, kb_relative_information_score: 16.6121, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6779, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.6808, kappa: 0.2812, kb_relative_information_score: 16.6121, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6779, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.6808, kappa: 0.2812, kb_relative_information_score: 16.6121, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6779, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.6981, kappa: 0.3246, kb_relative_information_score: 27.6, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6959, predictive_accuracy: 0.702, prior_entropy: 0.9308, recall: 0.702, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.6981, kappa: 0.3246, kb_relative_information_score: 27.6, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6959, predictive_accuracy: 0.702, prior_entropy: 0.9308, recall: 0.702, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7665, kappa: 0.4796, kb_relative_information_score: 11.1484, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7654, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7665, kappa: 0.4796, kb_relative_information_score: 11.1484, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7654, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.6981, kappa: 0.3246, kb_relative_information_score: 27.6, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6959, predictive_accuracy: 0.702, prior_entropy: 0.9308, recall: 0.702, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7665, kappa: 0.4796, kb_relative_information_score: 11.1484, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7654, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6369, f_measure: 0.5728, kappa: 0.0851, kb_relative_information_score: 7.6698, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7156, predictive_accuracy: 0.6755, prior_entropy: 0.9308, recall: 0.6755, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.707, kappa: 0.3355, kb_relative_information_score: 25.8245, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7103, predictive_accuracy: 0.7219, prior_entropy: 0.9308, recall: 0.7219, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.437, root_relative_squared_error: 0.9197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.6808, kappa: 0.2812, kb_relative_information_score: 16.6121, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6779, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.6808, kappa: 0.2812, kb_relative_information_score: 16.6121, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6779, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.6808, kappa: 0.2812, kb_relative_information_score: 16.6121, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6779, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.6981, kappa: 0.3246, kb_relative_information_score: 27.6, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6959, predictive_accuracy: 0.702, prior_entropy: 0.9308, recall: 0.702, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.6981, kappa: 0.3246, kb_relative_information_score: 27.6, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6959, predictive_accuracy: 0.702, prior_entropy: 0.9308, recall: 0.702, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.6981, kappa: 0.3246, kb_relative_information_score: 27.6, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6959, predictive_accuracy: 0.702, prior_entropy: 0.9308, recall: 0.702, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7665, kappa: 0.4796, kb_relative_information_score: 11.1484, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7654, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.693, kappa: 0.3039, kb_relative_information_score: 17.6833, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.695, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.693, kappa: 0.3039, kb_relative_information_score: 17.6833, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.695, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.707, kappa: 0.3355, kb_relative_information_score: 25.8245, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7103, predictive_accuracy: 0.7219, prior_entropy: 0.9308, recall: 0.7219, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.437, root_relative_squared_error: 0.9197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.6981, kappa: 0.3246, kb_relative_information_score: 27.6, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6959, predictive_accuracy: 0.702, prior_entropy: 0.9308, recall: 0.702, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9286,

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