Task
Supervised Classification on fri_c4_250_25

Supervised Classification on fri_c4_250_25

Task 3796 Supervised Classification fri_c4_250_25 590 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:

590 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.6205, kappa: 0.2368, kb_relative_information_score: 43.4007, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6215, predictive_accuracy: 0.62, prior_entropy: 0.9945, recall: 0.62, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.0604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, f_measure: 0.6205, kappa: 0.2368, kb_relative_information_score: 33.7116, mean_absolute_error: 0.4367, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6215, predictive_accuracy: 0.62, prior_entropy: 0.9945, recall: 0.62, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8274, kappa: 0.6516, kb_relative_information_score: 131.8913, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 0.9945, recall: 0.828, relative_absolute_error: 0.5016, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.6482, kappa: 0.29, kb_relative_information_score: 33.2343, mean_absolute_error: 0.4394, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6506, predictive_accuracy: 0.652, prior_entropy: 0.9945, recall: 0.652, relative_absolute_error: 0.8857, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.8082, kappa: 0.6141, kb_relative_information_score: 135.3976, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8089, predictive_accuracy: 0.808, prior_entropy: 0.9945, recall: 0.808, relative_absolute_error: 0.4795, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5835, f_measure: 0.576, kappa: 0.1454, kb_relative_information_score: 24.4314, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.576, predictive_accuracy: 0.576, prior_entropy: 0.9945, recall: 0.576, relative_absolute_error: 0.909, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5508, root_relative_squared_error: 1.1059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8235, kappa: 0.6437, kb_relative_information_score: 158.9132, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.824, predictive_accuracy: 0.824, prior_entropy: 0.9945, recall: 0.824, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.622, kappa: 0.2367, kb_relative_information_score: 49.6623, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6221, predictive_accuracy: 0.624, prior_entropy: 0.9945, recall: 0.624, relative_absolute_error: 0.8092, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.0292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8562, kappa: 0.711, kb_relative_information_score: 157.8181, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8574, predictive_accuracy: 0.856, prior_entropy: 0.9945, recall: 0.856, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7445, kappa: 0.4869, kb_relative_information_score: 121.609, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7464, predictive_accuracy: 0.744, prior_entropy: 0.9945, recall: 0.744, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.6593, kappa: 0.3123, kb_relative_information_score: 54.4739, mean_absolute_error: 0.3976, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.659, predictive_accuracy: 0.66, prior_entropy: 0.9945, recall: 0.66, relative_absolute_error: 0.8013, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.5926, kappa: 0.1811, kb_relative_information_score: 28.3622, mean_absolute_error: 0.4434, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.5939, predictive_accuracy: 0.592, prior_entropy: 0.9945, recall: 0.592, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.7394, kappa: 0.4741, kb_relative_information_score: 49.7912, mean_absolute_error: 0.4149, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7395, predictive_accuracy: 0.74, prior_entropy: 0.9945, recall: 0.74, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4781, root_relative_squared_error: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6414, f_measure: 0.5806, kappa: 0.1635, kb_relative_information_score: 43.1079, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.5865, predictive_accuracy: 0.58, prior_entropy: 0.9945, recall: 0.58, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.542, root_relative_squared_error: 1.0881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8231, kappa: 0.6427, kb_relative_information_score: 135.778, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8249, predictive_accuracy: 0.824, prior_entropy: 0.9945, recall: 0.824, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8159, kappa: 0.6286, kb_relative_information_score: 110.7422, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8158, predictive_accuracy: 0.816, prior_entropy: 0.9945, recall: 0.816, relative_absolute_error: 0.5993, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, f_measure: 0.3833, kb_relative_information_score: -0.0751, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.2959, predictive_accuracy: 0.544, prior_entropy: 0.9945, recall: 0.544, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8362, kappa: 0.6706, kb_relative_information_score: 156.2742, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8371, predictive_accuracy: 0.836, prior_entropy: 0.9945, recall: 0.836, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.6464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.744, kappa: 0.484, kb_relative_information_score: 86.0584, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.744, predictive_accuracy: 0.744, prior_entropy: 0.9945, recall: 0.744, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.816, kappa: 0.6291, kb_relative_information_score: 141.1747, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.816, predictive_accuracy: 0.816, prior_entropy: 0.9945, recall: 0.816, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.8073, kappa: 0.6108, kb_relative_information_score: 150.2224, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8082, predictive_accuracy: 0.808, prior_entropy: 0.9945, recall: 0.808, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.8534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.647, kappa: 0.2875, kb_relative_information_score: 52.5282, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6468, predictive_accuracy: 0.648, prior_entropy: 0.9945, recall: 0.648, relative_absolute_error: 0.8074, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6401, f_measure: 0.5925, kappa: 0.18, kb_relative_information_score: 35.4402, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.5932, predictive_accuracy: 0.592, prior_entropy: 0.9945, recall: 0.592, relative_absolute_error: 0.866, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5189, root_relative_squared_error: 1.0419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.8073, kappa: 0.6108, kb_relative_information_score: 150.2224, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8082, predictive_accuracy: 0.808, prior_entropy: 0.9945, recall: 0.808, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.8534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.6466, kappa: 0.2865, kb_relative_information_score: 48.7146, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6466, predictive_accuracy: 0.648, prior_entropy: 0.9945, recall: 0.648, relative_absolute_error: 0.823, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.7829, kappa: 0.5615, kb_relative_information_score: 125.0347, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7843, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.5135, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8355, kappa: 0.6678, kb_relative_information_score: 108.078, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8363, predictive_accuracy: 0.836, prior_entropy: 0.9945, recall: 0.836, relative_absolute_error: 0.6109, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6042, f_measure: 0.6077, kappa: 0.2088, kb_relative_information_score: 51.8052, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6075, predictive_accuracy: 0.608, prior_entropy: 0.9945, recall: 0.608, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7625, f_measure: 0.7641, kappa: 0.5247, kb_relative_information_score: 130.6698, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7642, predictive_accuracy: 0.764, prior_entropy: 0.9945, recall: 0.764, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.646, f_measure: 0.6482, kappa: 0.2915, kb_relative_information_score: 72.0269, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6485, predictive_accuracy: 0.648, prior_entropy: 0.9945, recall: 0.648, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.6849, kappa: 0.3639, kb_relative_information_score: 63.7442, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6875, predictive_accuracy: 0.688, prior_entropy: 0.9945, recall: 0.688, relative_absolute_error: 0.7671, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.647, kappa: 0.2875, kb_relative_information_score: 52.5282, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6468, predictive_accuracy: 0.648, prior_entropy: 0.9945, recall: 0.648, relative_absolute_error: 0.8074, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.6589, kappa: 0.3113, kb_relative_information_score: 34.9283, mean_absolute_error: 0.4372, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6588, predictive_accuracy: 0.66, prior_entropy: 0.9945, recall: 0.66, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7964, kappa: 0.5914, kb_relative_information_score: 94.2119, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7988, predictive_accuracy: 0.796, prior_entropy: 0.9945, recall: 0.796, relative_absolute_error: 0.6587, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.7773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, f_measure: 0.776, kappa: 0.5485, kb_relative_information_score: 136.7363, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.776, prior_entropy: 0.9945, recall: 0.776, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.6505, kappa: 0.2956, kb_relative_information_score: 76.0713, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6555, predictive_accuracy: 0.656, prior_entropy: 0.9945, recall: 0.656, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5865, root_relative_squared_error: 1.1776, scimark_benchmark: 1280.301, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, f_measure: 0.5638, kappa: 0.1206, kb_relative_information_score: 29.5614, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.5637, predictive_accuracy: 0.564, prior_entropy: 0.9945, recall: 0.564, relative_absolute_error: 0.8788, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6603, root_relative_squared_error: 1.3257, scimark_benchmark: 1280.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, f_measure: 0.647, kappa: 0.2875, kb_relative_information_score: 72.0269, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6468, predictive_accuracy: 0.648, prior_entropy: 0.9945, recall: 0.648, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1912, scimark_benchmark: 1461.2356, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, f_measure: 0.6281, kappa: 0.2507, kb_relative_information_score: 61.9161, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6283, predictive_accuracy: 0.628, prior_entropy: 0.9945, recall: 0.628, relative_absolute_error: 0.7498, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2246, scimark_benchmark: 1461.2356, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6081, f_measure: 0.6039, kappa: 0.2146, kb_relative_information_score: 35.6927, mean_absolute_error: 0.4305, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.614, predictive_accuracy: 0.604, prior_entropy: 0.9945, recall: 0.604, relative_absolute_error: 0.8677, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.531, root_relative_squared_error: 1.0662, scimark_benchmark: 1787.9841, usercpu_time_millis: 1156.25, usercpu_time_millis_training: 1156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6081, f_measure: 0.6039, kappa: 0.2146, kb_relative_information_score: 35.6927, mean_absolute_error: 0.4305, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.614, predictive_accuracy: 0.604, prior_entropy: 0.9945, recall: 0.604, relative_absolute_error: 0.8677, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.531, root_relative_squared_error: 1.0662, scimark_benchmark: 1340.2835, usercpu_time_millis: 1400, usercpu_time_millis_training: 1400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, f_measure: 0.6281, kappa: 0.2507, kb_relative_information_score: 61.9161, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6283, predictive_accuracy: 0.628, prior_entropy: 0.9945, recall: 0.628, relative_absolute_error: 0.7498, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2246, scimark_benchmark: 1626.4888, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, f_measure: 0.647, kappa: 0.2875, kb_relative_information_score: 72.0269, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6468, predictive_accuracy: 0.648, prior_entropy: 0.9945, recall: 0.648, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1912, scimark_benchmark: 1364.0695, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.6505, kappa: 0.2956, kb_relative_information_score: 76.0713, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6555, predictive_accuracy: 0.656, prior_entropy: 0.9945, recall: 0.656, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5865, root_relative_squared_error: 1.1776, scimark_benchmark: 1368.4355, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, f_measure: 0.5638, kappa: 0.1206, kb_relative_information_score: 29.5614, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.5637, predictive_accuracy: 0.564, prior_entropy: 0.9945, recall: 0.564, relative_absolute_error: 0.8788, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6603, root_relative_squared_error: 1.3257, scimark_benchmark: 1618.8671, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5982, f_measure: 0.5791, kappa: 0.1504, kb_relative_information_score: 33.7813, mean_absolute_error: 0.4287, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.5786, predictive_accuracy: 0.58, prior_entropy: 0.9945, recall: 0.58, relative_absolute_error: 0.8641, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5751, root_relative_squared_error: 1.1548, scimark_benchmark: 1671.2677, usercpu_time_millis: 1187.5, usercpu_time_millis_training: 1187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.615, kappa: 0.2227, kb_relative_information_score: 59.2503, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6146, predictive_accuracy: 0.616, prior_entropy: 0.9945, recall: 0.616, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1179, scimark_benchmark: 1378.73, usercpu_time_millis: 1090, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6044, f_measure: 0.5786, kappa: 0.1492, kb_relative_information_score: 32.7733, mean_absolute_error: 0.431, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.5781, predictive_accuracy: 0.58, prior_entropy: 0.9945, recall: 0.58, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.566, root_relative_squared_error: 1.1364, scimark_benchmark: 1060.9535, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.847, kappa: 0.691, kb_relative_information_score: 173.1354, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.85, predictive_accuracy: 0.848, prior_entropy: 0.9945, recall: 0.848, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7828, usercpu_time_millis: 0.4, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.8281, kappa: 0.6536, kb_relative_information_score: 163.0245, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8281, predictive_accuracy: 0.828, prior_entropy: 0.9945, recall: 0.828, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8327, usercpu_time_millis: 22.44, usercpu_time_millis_testing: 6.3, usercpu_time_millis_training: 16.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.8595, kappa: 0.7164, kb_relative_information_score: 179.2019, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8604, predictive_accuracy: 0.86, prior_entropy: 0.9945, recall: 0.86, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7512, usercpu_time_millis: 134.7, usercpu_time_millis_testing: 63.28, usercpu_time_millis_training: 71.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.7482, kappa: 0.4931, kb_relative_information_score: 122.5812, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7487, predictive_accuracy: 0.748, prior_entropy: 0.9945, recall: 0.748, relative_absolute_error: 0.5079, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0079, usercpu_time_millis: 47.05, usercpu_time_millis_testing: 10.09, usercpu_time_millis_training: 36.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.647, kappa: 0.2875, kb_relative_information_score: 52.5282, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6468, predictive_accuracy: 0.648, prior_entropy: 0.9945, recall: 0.648, relative_absolute_error: 0.8074, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9776, scimark_benchmark: 1455.2888, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.647, kappa: 0.2875, kb_relative_information_score: 52.5282, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6468, predictive_accuracy: 0.648, prior_entropy: 0.9945, recall: 0.648, relative_absolute_error: 0.8074, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9776, scimark_benchmark: 1265.2374, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5939, f_measure: 0.5875, kappa: 0.184, kb_relative_information_score: 33.2839, mean_absolute_error: 0.4339, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.5989, predictive_accuracy: 0.588, prior_entropy: 0.9945, recall: 0.588, relative_absolute_error: 0.8746, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5386, root_relative_squared_error: 1.0814, scimark_benchmark: 1273.906, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.5964, kappa: 0.1874, kb_relative_information_score: 36.4255, mean_absolute_error: 0.4268, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.5969, predictive_accuracy: 0.596, prior_entropy: 0.9945, recall: 0.596, relative_absolute_error: 0.8601, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9986, scimark_benchmark: 1266.0719, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6137, f_measure: 0.6162, kappa: 0.2271, kb_relative_information_score: 55.4781, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6166, predictive_accuracy: 0.616, prior_entropy: 0.9945, recall: 0.616, relative_absolute_error: 0.776, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.617, root_relative_squared_error: 1.2387, scimark_benchmark: 1311.8007, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8359, kappa: 0.6692, kb_relative_information_score: 159.8836, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8359, predictive_accuracy: 0.836, prior_entropy: 0.9945, recall: 0.836, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6903, scimark_benchmark: 1094.9047, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8521, kappa: 0.7023, kb_relative_information_score: 154.4783, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8525, predictive_accuracy: 0.852, prior_entropy: 0.9945, recall: 0.852, relative_absolute_error: 0.4069, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.7257, scimark_benchmark: 608.6428, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.602, f_measure: 0.6044, kappa: 0.2035, kb_relative_information_score: 49.7831, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6049, predictive_accuracy: 0.604, prior_entropy: 0.9945, recall: 0.604, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.2635, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5816, f_measure: 0.5861, kappa: 0.1642, kb_relative_information_score: 41.6944, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.5858, predictive_accuracy: 0.588, prior_entropy: 0.9945, recall: 0.588, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6419, root_relative_squared_error: 1.2887, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7909, kappa: 0.5778, kb_relative_information_score: 121.8038, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7924, predictive_accuracy: 0.792, prior_entropy: 0.9945, recall: 0.792, relative_absolute_error: 0.5364, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8194, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8142, kappa: 0.6249, kb_relative_information_score: 101.2976, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8193, predictive_accuracy: 0.816, prior_entropy: 0.9945, recall: 0.816, relative_absolute_error: 0.6358, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7371, scimark_benchmark: 1925.3565, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.6205, kappa: 0.2368, kb_relative_information_score: 43.4007, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6215, predictive_accuracy: 0.62, prior_entropy: 0.9945, recall: 0.62, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.0604, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.8075, kappa: 0.6113, kb_relative_information_score: 150.2224, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8079, predictive_accuracy: 0.808, prior_entropy: 0.9945, recall: 0.808, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.8534, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.647, kappa: 0.2875, kb_relative_information_score: 52.5282, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6468, predictive_accuracy: 0.648, prior_entropy: 0.9945, recall: 0.648, relative_absolute_error: 0.8074, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9776, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.602, f_measure: 0.6044, kappa: 0.2035, kb_relative_information_score: 49.7831, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6049, predictive_accuracy: 0.604, prior_entropy: 0.9945, recall: 0.604, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.2635, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5816, f_measure: 0.5861, kappa: 0.1642, kb_relative_information_score: 41.6944, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.5858, predictive_accuracy: 0.588, prior_entropy: 0.9945, recall: 0.588, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6419, root_relative_squared_error: 1.2887, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5917, f_measure: 0.5837, kappa: 0.1755, kb_relative_information_score: 32.2899, mean_absolute_error: 0.4357, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.5942, predictive_accuracy: 0.584, prior_entropy: 0.9945, recall: 0.584, relative_absolute_error: 0.8781, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5398, root_relative_squared_error: 1.0838, scimark_benchmark: 1925.3565, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.5964, kappa: 0.1874, kb_relative_information_score: 36.4255, mean_absolute_error: 0.4268, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.5969, predictive_accuracy: 0.596, prior_entropy: 0.9945, recall: 0.596, relative_absolute_error: 0.8601, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9986, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6137, f_measure: 0.6162, kappa: 0.2271, kb_relative_information_score: 55.4781, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6166, predictive_accuracy: 0.616, prior_entropy: 0.9945, recall: 0.616, relative_absolute_error: 0.776, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.617, root_relative_squared_error: 1.2387, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8359, kappa: 0.6692, kb_relative_information_score: 159.8836, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8359, predictive_accuracy: 0.836, prior_entropy: 0.9945, recall: 0.836, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6903, scimark_benchmark: 1892.0925, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.8439, kappa: 0.6853, kb_relative_information_score: 150.6254, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8439, predictive_accuracy: 0.844, prior_entropy: 0.9945, recall: 0.844, relative_absolute_error: 0.4211, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7483, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7832, kappa: 0.5621, kb_relative_information_score: 116.8335, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7839, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8351, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8231, kappa: 0.6427, kb_relative_information_score: 102.0089, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8249, predictive_accuracy: 0.824, prior_entropy: 0.9945, recall: 0.824, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7304, scimark_benchmark: 1892.0925, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.6205, kappa: 0.2368, kb_relative_information_score: 43.4007, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6215, predictive_accuracy: 0.62, prior_entropy: 0.9945, recall: 0.62, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.0604, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.8075, kappa: 0.6113, kb_relative_information_score: 150.2224, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8079, predictive_accuracy: 0.808, prior_entropy: 0.9945, recall: 0.808, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.8534, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.5964, kappa: 0.1874, kb_relative_information_score: 36.4255, mean_absolute_error: 0.4268, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.5969, predictive_accuracy: 0.596, prior_entropy: 0.9945, recall: 0.596, relative_absolute_error: 0.8601, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9986, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.8082, kappa: 0.6141, kb_relative_information_score: 135.3976, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8089, predictive_accuracy: 0.808, prior_entropy: 0.9945, recall: 0.808, relative_absolute_error: 0.4795, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8037, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6075, f_measure: 0.5959, kappa: 0.1988, kb_relative_information_score: 35.9388, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6059, predictive_accuracy: 0.596, prior_entropy: 0.9945, recall: 0.596, relative_absolute_error: 0.866, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5319, root_relative_squared_error: 1.0679, scimark_benchmark: 1834.908, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8359, kappa: 0.6692, kb_relative_information_score: 159.8836, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8359, predictive_accuracy: 0.836, prior_entropy: 0.9945, recall: 0.836, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6903, scimark_benchmark: 1834.908, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8359, kappa: 0.6692, kb_relative_information_score: 159.8836, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8359, predictive_accuracy: 0.836, prior_entropy: 0.9945, recall: 0.836, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6903, scimark_benchmark: 1788.6668, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8639, kappa: 0.7255, kb_relative_information_score: 168.4855, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8639, predictive_accuracy: 0.864, prior_entropy: 0.9945, recall: 0.864, relative_absolute_error: 0.3373, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6455, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.8241, kappa: 0.6458, kb_relative_information_score: 141.5695, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8243, predictive_accuracy: 0.824, prior_entropy: 0.9945, recall: 0.824, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.792, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.6679, kappa: 0.3416, kb_relative_information_score: 56.0141, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6792, predictive_accuracy: 0.668, prior_entropy: 0.9945, recall: 0.668, relative_absolute_error: 0.7951, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9263, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7031, f_measure: 0.6065, kappa: 0.2054, kb_relative_information_score: 41.2617, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6062, predictive_accuracy: 0.608, prior_entropy: 0.9945, recall: 0.608, relative_absolute_error: 0.8506, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9345, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6079, f_measure: 0.6115, kappa: 0.2163, kb_relative_information_score: 53.8274, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6112, predictive_accuracy: 0.612, prior_entropy: 0.9945, recall: 0.612, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2506, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6027, f_measure: 0.6045, kappa: 0.2046, kb_relative_information_score: 49.7831, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6056, predictive_accuracy: 0.604, prior_entropy: 0.9945, recall: 0.604, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.2635, scimark_benchmark: 1246.2864, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.5964, kappa: 0.1874, kb_relative_information_score: 36.4255, mean_absolute_error: 0.4268, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.5969, predictive_accuracy: 0.596, prior_entropy: 0.9945, recall: 0.596, relative_absolute_error: 0.8601, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9986, scimark_benchmark: 971.4441, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.8082, kappa: 0.6141, kb_relative_information_score: 135.3976, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8089, predictive_accuracy: 0.808, prior_entropy: 0.9945, recall: 0.808, relative_absolute_error: 0.4795, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8037, scimark_benchmark: 1031.2987, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8083, kappa: 0.6152, kb_relative_information_score: 128.4752, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8103, predictive_accuracy: 0.808, prior_entropy: 0.9945, recall: 0.808, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7051, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8157, kappa: 0.6358, kb_relative_information_score: 156.4505, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8333, predictive_accuracy: 0.816, prior_entropy: 0.9945, recall: 0.816, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7394, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, f_measure: 0.5339, kappa: 0.1457, kb_relative_information_score: 45.4735, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6023, predictive_accuracy: 0.556, prior_entropy: 0.9945, recall: 0.556, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5341, root_relative_squared_error: 1.0724, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, f_measure: 0.608, kappa: 0.222, kb_relative_information_score: 28.5223, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6175, predictive_accuracy: 0.608, prior_entropy: 0.9945, recall: 0.608, relative_absolute_error: 0.8982, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4855, root_relative_squared_error: 0.9748, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8282, kappa: 0.6541, kb_relative_information_score: 142.7563, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8286, predictive_accuracy: 0.828, prior_entropy: 0.9945, recall: 0.828, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.6856, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6178, f_measure: 0.576, kappa: 0.1454, kb_relative_information_score: 28.5076, mean_absolute_error: 0.4409, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.576, predictive_accuracy: 0.576, prior_entropy: 0.9945, recall: 0.576, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0159, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8558, kappa: 0.7089, kb_relative_information_score: 177.1797, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9945, recall: 0.856, relative_absolute_error: 0.2902, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.8399, kappa: 0.677, kb_relative_information_score: 169.0911, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9945, recall: 0.84, relative_absolute_error: 0.3225, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8031,

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