OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 111519 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

111519 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: 0.7578, f_measure: 0.6761, kappa: 0.2857, kb_relative_information_score: 103.3501, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7918, predictive_accuracy: 0.7328, prior_entropy: 0.9312, recall: 0.7328, relative_absolute_error: 0.9012, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9295, scimark_benchmark: 1759.0068, usercpu_time_millis: 1.446, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 1.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5165, kb_relative_information_score: 0.2986, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1874.5882, usercpu_time_millis: 1.501, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 1.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7453, f_measure: 0.5469, kappa: 0.0506, kb_relative_information_score: 76.4643, mean_absolute_error: 0.421, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7794, predictive_accuracy: 0.667, prior_entropy: 0.9312, recall: 0.667, relative_absolute_error: 0.9294, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4495, root_relative_squared_error: 0.9446, scimark_benchmark: 1874.5882, usercpu_time_millis: 1.849, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 1.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: 0.1993, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1755.2194, usercpu_time_millis: 1.661, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 1.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9737, kappa: 0.9414, kb_relative_information_score: 701.6595, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9747, predictive_accuracy: 0.9739, prior_entropy: 0.9312, recall: 0.9739, relative_absolute_error: 0.311, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4398, scimark_benchmark: 1853.8358, usercpu_time_millis: 4.179, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 3.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.5165, kb_relative_information_score: -0.7731, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1874.977, usercpu_time_millis: 0.175, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.6182, kappa: 0.1773, kb_relative_information_score: 136.9522, mean_absolute_error: 0.3999, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7956, predictive_accuracy: 0.7025, prior_entropy: 0.9312, recall: 0.7025, relative_absolute_error: 0.8828, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8949, scimark_benchmark: 1761.5433, usercpu_time_millis: 1.791, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 1.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5032, f_measure: 0.5165, kb_relative_information_score: -0.5085, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.949, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.8516, kappa: 0.6643, kb_relative_information_score: 380.46, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.88, predictive_accuracy: 0.8612, prior_entropy: 0.9312, recall: 0.8612, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.708, scimark_benchmark: 1873.5991, usercpu_time_millis: 0.591, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.7038, kappa: 0.3405, kb_relative_information_score: 156.0573, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7928, predictive_accuracy: 0.7484, prior_entropy: 0.9312, recall: 0.7484, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8798, scimark_benchmark: 1871.9601, usercpu_time_millis: 2.526, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 2.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.6766, kappa: 0.2709, kb_relative_information_score: 173.4327, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6749, predictive_accuracy: 0.6889, prior_entropy: 0.9312, recall: 0.6889, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8923, scimark_benchmark: 1872.0299, usercpu_time_millis: 2.738, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 2.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.7419, kappa: 0.423, kb_relative_information_score: 233.6536, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8316, predictive_accuracy: 0.7777, prior_entropy: 0.9312, recall: 0.7777, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.392, root_relative_squared_error: 0.8237, scimark_benchmark: 1850.1514, usercpu_time_millis: 6.344, usercpu_time_millis_testing: 1.27, usercpu_time_millis_training: 5.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9396, kappa: 0.8651, kb_relative_information_score: 555.1836, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9419, predictive_accuracy: 0.9405, prior_entropy: 0.9312, recall: 0.9405, relative_absolute_error: 0.4602, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.5851, scimark_benchmark: 1872.0299, usercpu_time_millis: 0.403, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8172, kappa: 0.5865, kb_relative_information_score: 327.5814, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8555, predictive_accuracy: 0.8319, prior_entropy: 0.9312, recall: 0.8319, relative_absolute_error: 0.6982, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7498, scimark_benchmark: 1756.8154, usercpu_time_millis: 3.722, usercpu_time_millis_testing: 0.516, usercpu_time_millis_training: 3.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.7664, kappa: 0.4756, kb_relative_information_score: 260.702, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8442, predictive_accuracy: 0.7954, prior_entropy: 0.9312, recall: 0.7954, relative_absolute_error: 0.7854, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.8019, scimark_benchmark: 1872.4881, usercpu_time_millis: 1.833, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 1.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9885, kappa: 0.9745, kb_relative_information_score: 588.2264, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9886, predictive_accuracy: 0.9885, prior_entropy: 0.9312, recall: 0.9885, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.5134, scimark_benchmark: 1872.4881, usercpu_time_millis: 3.645, usercpu_time_millis_testing: 0.627, usercpu_time_millis_training: 3.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.835, kappa: 0.6266, kb_relative_information_score: 330.7105, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8662, predictive_accuracy: 0.8466, prior_entropy: 0.9312, recall: 0.8466, relative_absolute_error: 0.7096, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7499, scimark_benchmark: 1838.9016, usercpu_time_millis: 6.64, usercpu_time_millis_testing: 1.086, usercpu_time_millis_training: 5.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 773.2992, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3462, scimark_benchmark: 1870.6721, usercpu_time_millis: 3.728, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 3.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.6938, kappa: 0.3237, kb_relative_information_score: 200.2499, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8173, predictive_accuracy: 0.7463, prior_entropy: 0.9312, recall: 0.7463, relative_absolute_error: 0.833, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8475, scimark_benchmark: 1872.4881, usercpu_time_millis: 1.751, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 1.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: 0.1774, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1849.7016, usercpu_time_millis: 1.169, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 0.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.5165, kb_relative_information_score: -0.7117, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1858.0046, usercpu_time_millis: 0.223, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9874, kappa: 0.9721, kb_relative_information_score: 559.8761, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9877, predictive_accuracy: 0.9875, prior_entropy: 0.9312, recall: 0.9875, relative_absolute_error: 0.4883, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.5414, scimark_benchmark: 1858.1823, usercpu_time_millis: 9.032, usercpu_time_millis_testing: 1.378, usercpu_time_millis_training: 7.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.6785, kappa: 0.2932, kb_relative_information_score: 128.5961, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8125, predictive_accuracy: 0.737, prior_entropy: 0.9312, recall: 0.737, relative_absolute_error: 0.8896, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.9095, scimark_benchmark: 1858.9715, usercpu_time_millis: 2.953, usercpu_time_millis_testing: 0.503, usercpu_time_millis_training: 2.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.5165, kb_relative_information_score: 47.8977, mean_absolute_error: 0.4313, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9521, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9617, scimark_benchmark: 1738.5111, usercpu_time_millis: 0.15, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7308, kappa: 0.4, kb_relative_information_score: 321.993, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7291, predictive_accuracy: 0.7338, prior_entropy: 0.9312, recall: 0.7338, relative_absolute_error: 0.6553, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7801, scimark_benchmark: 1863.7605, usercpu_time_millis: 2.149, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 1.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.7358, kappa: 0.4072, kb_relative_information_score: 133.7552, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.805, predictive_accuracy: 0.7693, prior_entropy: 0.9312, recall: 0.7693, relative_absolute_error: 0.8762, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.9107, scimark_benchmark: 1847.4043, usercpu_time_millis: 1.553, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 1.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.5165, kb_relative_information_score: 43.809, mean_absolute_error: 0.4344, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4591, root_relative_squared_error: 0.9647, scimark_benchmark: 1857.0396, usercpu_time_millis: 1.035, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 0.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.8068, kappa: 0.5632, kb_relative_information_score: 272.0945, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8495, predictive_accuracy: 0.8236, prior_entropy: 0.9312, recall: 0.8236, relative_absolute_error: 0.7675, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7956, scimark_benchmark: 1872.0299, usercpu_time_millis: 0.782, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 638.8322, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.3971, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4723, scimark_benchmark: 1851.5125, usercpu_time_millis: 1.929, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 1.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9672, kappa: 0.927, kb_relative_information_score: 667.7676, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9692, predictive_accuracy: 0.9676, prior_entropy: 0.9312, recall: 0.9676, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.448, scimark_benchmark: 1857.4001, usercpu_time_millis: 2.546, usercpu_time_millis_testing: 0.471, usercpu_time_millis_training: 2.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9565, kappa: 0.9027, kb_relative_information_score: 682.2029, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9598, predictive_accuracy: 0.9572, prior_entropy: 0.9312, recall: 0.9572, relative_absolute_error: 0.3386, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.4442, scimark_benchmark: 1887.8937, usercpu_time_millis: 7.466, usercpu_time_millis_testing: 0.963, usercpu_time_millis_training: 6.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.5165, kb_relative_information_score: 39.3548, mean_absolute_error: 0.4361, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9626, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9681, scimark_benchmark: 1853.8358, usercpu_time_millis: 1.995, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 1.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.7707, kappa: 0.4838, kb_relative_information_score: 257.3438, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8334, predictive_accuracy: 0.7965, prior_entropy: 0.9312, recall: 0.7965, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.382, root_relative_squared_error: 0.8026, scimark_benchmark: 1856.1441, usercpu_time_millis: 4.377, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 3.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.8738, kappa: 0.7153, kb_relative_information_score: 522.1925, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8862, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.6193, scimark_benchmark: 1871.4349, usercpu_time_millis: 4.038, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 3.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8652, kappa: 0.6951, kb_relative_information_score: 428.7883, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8876, predictive_accuracy: 0.8727, prior_entropy: 0.9312, recall: 0.8727, relative_absolute_error: 0.6074, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.6768, scimark_benchmark: 1872.0458, usercpu_time_millis: 0.336, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 0.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7879, kappa: 0.5204, kb_relative_information_score: 236.6876, mean_absolute_error: 0.3564, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8243, predictive_accuracy: 0.8058, prior_entropy: 0.9312, recall: 0.8058, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8377, scimark_benchmark: 1865.3572, usercpu_time_millis: 0.074, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8532, kappa: 0.6678, kb_relative_information_score: 385.3939, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8858, predictive_accuracy: 0.8633, prior_entropy: 0.9312, recall: 0.8633, relative_absolute_error: 0.6509, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.7121, scimark_benchmark: 1869.7524, usercpu_time_millis: 4.097, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 3.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.6986, kappa: 0.3196, kb_relative_information_score: 220.8516, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6997, predictive_accuracy: 0.7119, prior_entropy: 0.9312, recall: 0.7119, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8392, scimark_benchmark: 1866.6776, usercpu_time_millis: 2.879, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 2.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8156, kappa: 0.586, kb_relative_information_score: 365.5164, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8182, predictive_accuracy: 0.8205, prior_entropy: 0.9312, recall: 0.8205, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7378, scimark_benchmark: 1860.5921, usercpu_time_millis: 3.969, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 3.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.7928, kappa: 0.533, kb_relative_information_score: 348.7338, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7984, predictive_accuracy: 0.8006, prior_entropy: 0.9312, recall: 0.8006, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.7496, scimark_benchmark: 1862.4223, usercpu_time_millis: 4.926, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 4.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 727.3652, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3699, scimark_benchmark: 1885.0049, usercpu_time_millis: 8.813, usercpu_time_millis_testing: 1.296, usercpu_time_millis_training: 7.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8593, kappa: 0.6817, kb_relative_information_score: 390.704, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8894, predictive_accuracy: 0.8685, prior_entropy: 0.9312, recall: 0.8685, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.7032, scimark_benchmark: 1867.6581, usercpu_time_millis: 5.119, usercpu_time_millis_testing: 0.805, usercpu_time_millis_training: 4.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 647.6197, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.3907, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.4556, scimark_benchmark: 1860.6576, usercpu_time_millis: 3.778, usercpu_time_millis_testing: 0.542, usercpu_time_millis_training: 3.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9906, kappa: 0.9792, kb_relative_information_score: 733.1447, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.2851, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3793, scimark_benchmark: 1851.5125, usercpu_time_millis: 0.713, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.5165, kb_relative_information_score: 79.814, mean_absolute_error: 0.4193, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9257, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.9386, scimark_benchmark: 1872.0299, usercpu_time_millis: 2.352, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 1.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5165, kb_relative_information_score: -0.1273, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1851.0585, usercpu_time_millis: 0.496, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.5165, kb_relative_information_score: 25.9225, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.978, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9795, scimark_benchmark: 1863.5242, usercpu_time_millis: 1.404, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 1.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.5165, kb_relative_information_score: -0.1054, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1866.2865, usercpu_time_millis: 0.765, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9554, kappa: 0.9002, kb_relative_information_score: 663.9126, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9589, predictive_accuracy: 0.9562, prior_entropy: 0.9312, recall: 0.9562, relative_absolute_error: 0.3616, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4587, scimark_benchmark: 1874.0573, usercpu_time_millis: 9.996, usercpu_time_millis_testing: 1.352, usercpu_time_millis_training: 8.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.5668, kappa: 0.0849, kb_relative_information_score: 90.6789, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7836, predictive_accuracy: 0.6764, prior_entropy: 0.9312, recall: 0.6764, relative_absolute_error: 0.9157, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.9287, scimark_benchmark: 1871.1262, usercpu_time_millis: 3.214, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 2.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.7999, kappa: 0.5477, kb_relative_information_score: 296.4601, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8411, predictive_accuracy: 0.8173, prior_entropy: 0.9312, recall: 0.8173, relative_absolute_error: 0.7353, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.368, root_relative_squared_error: 0.7733, scimark_benchmark: 1864.5074, usercpu_time_millis: 2.598, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 2.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5165, kb_relative_information_score: -0.5055, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1845.0852, usercpu_time_millis: 0.691, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 0.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9494, kappa: 0.8873, kb_relative_information_score: 729.2624, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9505, predictive_accuracy: 0.9499, prior_entropy: 0.9312, recall: 0.9499, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4339, scimark_benchmark: 1848.6852, usercpu_time_millis: 5.327, usercpu_time_millis_testing: 0.739, usercpu_time_millis_training: 4.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8074, kappa: 0.5648, kb_relative_information_score: 284.6401, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8528, predictive_accuracy: 0.8246, prior_entropy: 0.9312, recall: 0.8246, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7965, scimark_benchmark: 1849.6404, usercpu_time_millis: 4.264, usercpu_time_millis_testing: 0.716, usercpu_time_millis_training: 3.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8545, kappa: 0.6708, kb_relative_information_score: 376.0366, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8797, predictive_accuracy: 0.8633, prior_entropy: 0.9312, recall: 0.8633, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.7089, scimark_benchmark: 1868.7112, usercpu_time_millis: 3.529, usercpu_time_millis_testing: 0.535, usercpu_time_millis_training: 2.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.5165, kb_relative_information_score: -0.2587, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1850.0944, usercpu_time_millis: 0.774, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 0.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5165, kb_relative_information_score: 0.2032, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1840.1791, usercpu_time_millis: 1.509, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 1.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.5165, kb_relative_information_score: -0.7494, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.769, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, f_measure: 0.5165, kb_relative_information_score: 58.8139, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9567, scimark_benchmark: 1851.0585, usercpu_time_millis: 0.112, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.5165, kb_relative_information_score: -0.2345, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1853.7787, usercpu_time_millis: 0.903, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 0.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 727.8181, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3795, scimark_benchmark: 1850.6054, usercpu_time_millis: 8.695, usercpu_time_millis_testing: 1.392, usercpu_time_millis_training: 7.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.5165, kb_relative_information_score: -0.2813, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1872.4881, usercpu_time_millis: 1.214, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9306, kappa: 0.8444, kb_relative_information_score: 458.8682, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9358, predictive_accuracy: 0.9322, prior_entropy: 0.9312, recall: 0.9322, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.6385, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.543, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.5818, kappa: 0.1112, kb_relative_information_score: 87.6708, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7869, predictive_accuracy: 0.6837, prior_entropy: 0.9312, recall: 0.6837, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.446, root_relative_squared_error: 0.9372, scimark_benchmark: 1863.2338, usercpu_time_millis: 2.393, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 1.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9018, kappa: 0.7785, kb_relative_information_score: 572.9138, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9179, predictive_accuracy: 0.9061, prior_entropy: 0.9312, recall: 0.9061, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.5494, scimark_benchmark: 1860.4615, usercpu_time_millis: 4.737, usercpu_time_millis_testing: 0.688, usercpu_time_millis_training: 4.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.95, kappa: 0.8881, kb_relative_information_score: 530.0138, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.954, predictive_accuracy: 0.9509, prior_entropy: 0.9312, recall: 0.9509, relative_absolute_error: 0.5171, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.5707, scimark_benchmark: 1868.7112, usercpu_time_millis: 11.735, usercpu_time_millis_testing: 1.879, usercpu_time_millis_training: 9.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9513, kappa: 0.8912, kb_relative_information_score: 577.0996, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9537, predictive_accuracy: 0.952, prior_entropy: 0.9312, recall: 0.952, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.5618, scimark_benchmark: 1869.8223, usercpu_time_millis: 5.25, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 4.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.6575, kappa: 0.2518, kb_relative_information_score: 148.6568, mean_absolute_error: 0.3984, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8062, predictive_accuracy: 0.7244, prior_entropy: 0.9312, recall: 0.7244, relative_absolute_error: 0.8795, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.8894, scimark_benchmark: 1872.0299, usercpu_time_millis: 1.418, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 1.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8064, kappa: 0.5619, kb_relative_information_score: 343.1662, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.831, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.6578, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7459, scimark_benchmark: 1850.1514, usercpu_time_millis: 1.375, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 1.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.5165, kb_relative_information_score: 73.0057, mean_absolute_error: 0.4262, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9409, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9462, scimark_benchmark: 1869.2422, usercpu_time_millis: 1.582, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 1.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.5165, kb_relative_information_score: 0.0316, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1873.5991, usercpu_time_millis: 1.571, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 1.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, f_measure: 0.5165, kb_relative_information_score: 68.1491, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9558, scimark_benchmark: 1872.4881, usercpu_time_millis: 1.806, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 1.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.5165, kb_relative_information_score: 63.1536, mean_absolute_error: 0.4229, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9536, scimark_benchmark: 1864.2743, usercpu_time_millis: 1.502, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 1.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 687.8688, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4239, scimark_benchmark: 1849.6404, usercpu_time_millis: 5.469, usercpu_time_millis_testing: 0.805, usercpu_time_millis_training: 4.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.7409, kappa: 0.4192, kb_relative_information_score: 192.367, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8164, predictive_accuracy: 0.7745, prior_entropy: 0.9312, recall: 0.7745, relative_absolute_error: 0.8383, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8582, scimark_benchmark: 1872.0299, usercpu_time_millis: 1.876, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 1.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9092, kappa: 0.7954, kb_relative_information_score: 409.4824, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9201, predictive_accuracy: 0.9123, prior_entropy: 0.9312, recall: 0.9123, relative_absolute_error: 0.6327, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.6819, scimark_benchmark: 1853.8358, usercpu_time_millis: 0.657, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8558, kappa: 0.6739, kb_relative_information_score: 408.1826, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8861, predictive_accuracy: 0.8653, prior_entropy: 0.9312, recall: 0.8653, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.6904, scimark_benchmark: 1853.7787, usercpu_time_millis: 1.402, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 1.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.7949, kappa: 0.5367, kb_relative_information_score: 212.365, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8427, predictive_accuracy: 0.8142, prior_entropy: 0.9312, recall: 0.8142, relative_absolute_error: 0.8136, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8498, scimark_benchmark: 1857.7844, usercpu_time_millis: 1.384, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 1.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 798.0232, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.2058, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.147, root_relative_squared_error: 0.3088, scimark_benchmark: 1867.1999, usercpu_time_millis: 2.089, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 1.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.7494, kappa: 0.4389, kb_relative_information_score: 241.5577, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8347, predictive_accuracy: 0.7829, prior_entropy: 0.9312, recall: 0.7829, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.8179, scimark_benchmark: 1860.2646, usercpu_time_millis: 3.116, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 2.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.5165, kb_relative_information_score: 60.8973, mean_absolute_error: 0.4252, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9533, scimark_benchmark: 1868.2531, usercpu_time_millis: 0.898, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 0.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9874, kappa: 0.9721, kb_relative_information_score: 563.8433, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9877, predictive_accuracy: 0.9875, prior_entropy: 0.9312, recall: 0.9875, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.5395, scimark_benchmark: 1841.8533, usercpu_time_millis: 2.958, usercpu_time_millis_testing: 0.465, usercpu_time_millis_training: 2.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8181, kappa: 0.5885, kb_relative_information_score: 320.0769, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8521, predictive_accuracy: 0.8319, prior_entropy: 0.9312, recall: 0.8319, relative_absolute_error: 0.7119, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7553, scimark_benchmark: 1856.8773, usercpu_time_millis: 1.821, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 1.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9608, kappa: 0.9124, kb_relative_information_score: 683.581, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9635, predictive_accuracy: 0.9614, prior_entropy: 0.9312, recall: 0.9614, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4399, scimark_benchmark: 1867.3493, usercpu_time_millis: 9.198, usercpu_time_millis_testing: 1.156, usercpu_time_millis_training: 8.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9885, kappa: 0.9744, kb_relative_information_score: 661.683, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9887, predictive_accuracy: 0.9885, prior_entropy: 0.9312, recall: 0.9885, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.22, root_relative_squared_error: 0.4622, scimark_benchmark: 1872.4881, usercpu_time_millis: 4.44, usercpu_time_millis_testing: 0.559, usercpu_time_millis_training: 3.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.5165, kb_relative_information_score: 68.5707, mean_absolute_error: 0.4182, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9231, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9561, scimark_benchmark: 1864.2071, usercpu_time_millis: 0.752, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.7012, kappa: 0.3309, kb_relative_information_score: 115.3089, mean_absolute_error: 0.4027, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.764, predictive_accuracy: 0.7411, prior_entropy: 0.9312, recall: 0.7411, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9233, scimark_benchmark: 1845.4779, usercpu_time_millis: 0.911, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 0.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8276, kappa: 0.61, kb_relative_information_score: 425.5493, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.867, predictive_accuracy: 0.8413, prior_entropy: 0.9312, recall: 0.8413, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.7013, scimark_benchmark: 1857.7844, usercpu_time_millis: 3.854, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 3.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.7246, kappa: 0.3884, kb_relative_information_score: 315.1569, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7233, predictive_accuracy: 0.7265, prior_entropy: 0.9312, recall: 0.7265, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7854, scimark_benchmark: 1862.0186, usercpu_time_millis: 2.55, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 2.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.5165, kb_relative_information_score: 22.6631, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9821, scimark_benchmark: 1860.4615, usercpu_time_millis: 1.028, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5165, kb_relative_information_score: 0.1108, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1865.2449, usercpu_time_millis: 1.073, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 0.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 747.6317, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.2646, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3742, scimark_benchmark: 1861.1115, usercpu_time_millis: 4.972, usercpu_time_millis_testing: 0.668, usercpu_time_millis_training: 4.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.5165, kb_relative_information_score: 76.0612, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9553, scimark_benchmark: 1850.1514, usercpu_time_millis: 1.827, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 1.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9313, kappa: 0.8455, kb_relative_information_score: 582.2756, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9394, predictive_accuracy: 0.9332, prior_entropy: 0.9312, recall: 0.9332, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5291, scimark_benchmark: 1871.576, usercpu_time_millis: 8.781, usercpu_time_millis_testing: 1.218, usercpu_time_millis_training: 7.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 651.1965, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.4495, scimark_benchmark: 1864.7909, usercpu_time_millis: 3.208, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 2.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.6505, kappa: 0.237, kb_relative_information_score: 95.6489, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7938, predictive_accuracy: 0.7192, prior_entropy: 0.9312, recall: 0.7192, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9333, scimark_benchmark: 1856.3001, usercpu_time_millis: 1.103, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 0.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.7133, kappa: 0.3636, kb_relative_information_score: 216.2092, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8239, predictive_accuracy: 0.7589, prior_entropy: 0.9312, recall: 0.7589, relative_absolute_error: 0.8202, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8354, scimark_benchmark: 1857.3304, usercpu_time_millis: 5.606, usercpu_time_millis_testing: 0.93, usercpu_time_millis_training: 4.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.5165, kb_relative_information_score: 0.0683, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1850.1514, usercpu_time_millis: 1.4, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 1.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.6104, kappa: 0.1628, kb_relative_information_score: 123.1333, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7936, predictive_accuracy: 0.6983, prior_entropy: 0.9312, recall: 0.6983, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.909, scimark_benchmark: 1872.9496, usercpu_time_millis: 2.106, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 1.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.8724, kappa: 0.7115, kb_relative_information_score: 483.8397, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8986, predictive_accuracy: 0.88, prior_entropy: 0.9312, recall: 0.88, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.6308, scimark_benchmark: 1874.0573, usercpu_time_millis: 0.694, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 0.514,

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