OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 24074 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

24074 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: 0.7158, f_measure: 0.0662, kappa: 0.1078, kb_relative_information_score: 477.7284, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0399, predictive_accuracy: 0.197, prior_entropy: 3.3219, recall: 0.197, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 939.7623, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.0662, kappa: 0.1078, kb_relative_information_score: 477.7284, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0399, predictive_accuracy: 0.197, prior_entropy: 3.3219, recall: 0.197, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 934.5243, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.0662, kappa: 0.1078, kb_relative_information_score: 477.7284, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0399, predictive_accuracy: 0.197, prior_entropy: 3.3219, recall: 0.197, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 938.4278, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.0662, kappa: 0.1078, kb_relative_information_score: 477.7284, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0399, predictive_accuracy: 0.197, prior_entropy: 3.3219, recall: 0.197, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 942.1229, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.7861, kappa: 0.7639, kb_relative_information_score: 1363.9367, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7881, predictive_accuracy: 0.7875, prior_entropy: 3.3219, recall: 0.7875, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.185, root_relative_squared_error: 0.6167, scimark_benchmark: 943.2817, usercpu_time_millis: 11340, usercpu_time_millis_testing: 3560, usercpu_time_millis_training: 7780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.7861, kappa: 0.7639, kb_relative_information_score: 1363.9367, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7881, predictive_accuracy: 0.7875, prior_entropy: 3.3219, recall: 0.7875, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.185, root_relative_squared_error: 0.6167, scimark_benchmark: 940.2922, usercpu_time_millis: 12100, usercpu_time_millis_testing: 4020, usercpu_time_millis_training: 8080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.7876, kappa: 0.7656, kb_relative_information_score: 1380.3939, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7898, predictive_accuracy: 0.789, prior_entropy: 3.3219, recall: 0.789, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.186, root_relative_squared_error: 0.6201, scimark_benchmark: 945.6434, usercpu_time_millis: 11400, usercpu_time_millis_testing: 3570, usercpu_time_millis_training: 7830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.7713, kappa: 0.7478, kb_relative_information_score: 1554.4578, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7726, predictive_accuracy: 0.773, prior_entropy: 3.3219, recall: 0.773, relative_absolute_error: 0.2506, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.6698, scimark_benchmark: 945.6434, usercpu_time_millis: 21330, usercpu_time_millis_testing: 6650, usercpu_time_millis_training: 14680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.7639, kappa: 0.7378, kb_relative_information_score: 1526.8622, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.768, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.6875, scimark_benchmark: 945.6434, usercpu_time_millis: 8610, usercpu_time_millis_testing: 3080, usercpu_time_millis_training: 5530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.7609, kappa: 0.7361, kb_relative_information_score: 1532.2688, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7624, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.6763, scimark_benchmark: 1054.3694, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.7396, kappa: 0.7106, kb_relative_information_score: 1455.1603, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7416, predictive_accuracy: 0.7395, prior_entropy: 3.3219, recall: 0.7395, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.7608, scimark_benchmark: 1054.3694, usercpu_time_millis: 68390, usercpu_time_millis_training: 68390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.8341, kappa: 0.815, kb_relative_information_score: 1664.4149, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.835, predictive_accuracy: 0.8335, prior_entropy: 3.3219, recall: 0.8335, relative_absolute_error: 0.2092, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.5571, scimark_benchmark: 931.2336, usercpu_time_millis: 244330, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 244200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.3564, kappa: 0.3172, kb_relative_information_score: 714.764, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3446, predictive_accuracy: 0.3855, prior_entropy: 3.3219, recall: 0.3855, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3506, root_relative_squared_error: 1.1686, scimark_benchmark: 1465.2979, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.7542, kappa: 0.7278, kb_relative_information_score: 1507.8419, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7564, predictive_accuracy: 0.755, prior_entropy: 3.3219, recall: 0.755, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.7012, scimark_benchmark: 1466.6185, usercpu_time_millis: 1790, usercpu_time_millis_training: 1790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.0301, kappa: 0.0067, kb_relative_information_score: 130.1856, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5101, predictive_accuracy: 0.106, prior_entropy: 3.3219, recall: 0.106, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4228, root_relative_squared_error: 1.4095, scimark_benchmark: 1384.4418, usercpu_time_millis: 3560, usercpu_time_millis_testing: 820, usercpu_time_millis_training: 2740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.7621, kappa: 0.7433, kb_relative_information_score: 1516.86, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7738, predictive_accuracy: 0.769, prior_entropy: 3.3219, recall: 0.769, relative_absolute_error: 0.2567, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.7165, scimark_benchmark: 1325.2092, usercpu_time_millis: 9290, usercpu_time_millis_testing: 6690, usercpu_time_millis_training: 2600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.7639, kappa: 0.7372, kb_relative_information_score: 1486.1996, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7657, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.644, scimark_benchmark: 1355.7054, usercpu_time_millis: 2900, usercpu_time_millis_training: 2900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.7505, kappa: 0.7244, kb_relative_information_score: 1492.6049, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7523, predictive_accuracy: 0.752, prior_entropy: 3.3219, recall: 0.752, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.6389, scimark_benchmark: 1280.6952, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.6396, kappa: 0.5972, kb_relative_information_score: 1241.8258, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6429, predictive_accuracy: 0.6375, prior_entropy: 3.3219, recall: 0.6375, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.8975, scimark_benchmark: 825.5282, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8327, kappa: 0.8156, kb_relative_information_score: 1510.9705, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8324, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.549, scimark_benchmark: 1307.4861, usercpu_time_millis: 1870, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.672, kappa: 0.6333, kb_relative_information_score: 1262.6983, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6785, predictive_accuracy: 0.67, prior_entropy: 3.3219, recall: 0.67, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.7524, scimark_benchmark: 1297.5331, usercpu_time_millis: 210690, usercpu_time_millis_testing: 1840, usercpu_time_millis_training: 208850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.7757, kappa: 0.7522, kb_relative_information_score: 1568.1683, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7791, predictive_accuracy: 0.777, prior_entropy: 3.3219, recall: 0.777, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6411, scimark_benchmark: 1028.5889, usercpu_time_millis: 230, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7647, kappa: 0.7383, kb_relative_information_score: 1507.4482, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7734, predictive_accuracy: 0.7645, prior_entropy: 3.3219, recall: 0.7645, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.217, root_relative_squared_error: 0.7234, scimark_benchmark: 1073.494, usercpu_time_millis: 11530, usercpu_time_millis_testing: 8350, usercpu_time_millis_training: 3180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.8139, kappa: 0.7961, kb_relative_information_score: 1616.207, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8133, predictive_accuracy: 0.8165, prior_entropy: 3.3219, recall: 0.8165, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.6386, scimark_benchmark: 1304.9611, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8185, kappa: 0.7994, kb_relative_information_score: 1661.6864, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8181, predictive_accuracy: 0.8195, prior_entropy: 3.3219, recall: 0.8195, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.5161, scimark_benchmark: 880.8372, usercpu_time_millis: 7550, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.8399, kappa: 0.8228, kb_relative_information_score: 576.937, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8401, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9127, scimark_benchmark: 894.7222, usercpu_time_millis: 810, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.7781, kappa: 0.7539, kb_relative_information_score: 558.6718, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7834, predictive_accuracy: 0.7785, prior_entropy: 3.3219, recall: 0.7785, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.9178, scimark_benchmark: 944.5495, usercpu_time_millis: 14430, usercpu_time_millis_testing: 12070, usercpu_time_millis_training: 2360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.8091, kappa: 0.7889, kb_relative_information_score: 1659.7603, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8123, predictive_accuracy: 0.81, prior_entropy: 3.3219, recall: 0.81, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.5586, scimark_benchmark: 939.5205, usercpu_time_millis: 3210, usercpu_time_millis_testing: 3210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8081, kappa: 0.7867, kb_relative_information_score: 1662.0774, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8118, predictive_accuracy: 0.808, prior_entropy: 3.3219, recall: 0.808, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.5356, scimark_benchmark: 930.5999, usercpu_time_millis: 3650, usercpu_time_millis_testing: 3650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.0662, kappa: 0.1078, kb_relative_information_score: 477.7284, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0399, predictive_accuracy: 0.197, prior_entropy: 3.3219, recall: 0.197, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 915.9324, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.0662, kappa: 0.1078, kb_relative_information_score: 477.7284, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0399, predictive_accuracy: 0.197, prior_entropy: 3.3219, recall: 0.197, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 889.3151, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.0662, kappa: 0.1078, kb_relative_information_score: 477.7284, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0399, predictive_accuracy: 0.197, prior_entropy: 3.3219, recall: 0.197, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 1442.7264, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.0662, kappa: 0.1078, kb_relative_information_score: 477.7284, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0399, predictive_accuracy: 0.197, prior_entropy: 3.3219, recall: 0.197, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 932.0242, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.0662, kappa: 0.1078, kb_relative_information_score: 477.7284, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0399, predictive_accuracy: 0.197, prior_entropy: 3.3219, recall: 0.197, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 1325.2092, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7649, kappa: 0.74, kb_relative_information_score: 1530.0499, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7646, predictive_accuracy: 0.766, prior_entropy: 3.3219, recall: 0.766, relative_absolute_error: 0.2714, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.204, root_relative_squared_error: 0.6801, scimark_benchmark: 1310.3951, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.7923, kappa: 0.7689, kb_relative_information_score: 1568.5482, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7931, predictive_accuracy: 0.792, prior_entropy: 3.3219, recall: 0.792, relative_absolute_error: 0.3163, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.569, scimark_benchmark: 925.4974, usercpu_time_millis: 2980, usercpu_time_millis_training: 2980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.803, kappa: 0.785, kb_relative_information_score: 1491.6001, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8014, predictive_accuracy: 0.8065, prior_entropy: 3.3219, recall: 0.8065, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5683, scimark_benchmark: 1330.0694, usercpu_time_millis: 670, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8159, kappa: 0.7989, kb_relative_information_score: 1488.2189, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.815, predictive_accuracy: 0.819, prior_entropy: 3.3219, recall: 0.819, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.168, root_relative_squared_error: 0.5598, scimark_benchmark: 932.0242, usercpu_time_millis: 3620, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 3560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.7844, kappa: 0.765, kb_relative_information_score: 1560.0834, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7843, predictive_accuracy: 0.7885, prior_entropy: 3.3219, recall: 0.7885, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.6283, scimark_benchmark: 1336.2976, usercpu_time_millis: 13370, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 13350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.7599, kappa: 0.7322, kb_relative_information_score: 1546.7002, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7664, predictive_accuracy: 0.759, prior_entropy: 3.3219, recall: 0.759, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6638, scimark_benchmark: 1307.4861, usercpu_time_millis: 1480, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.0662, kappa: 0.1078, kb_relative_information_score: 477.7284, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0399, predictive_accuracy: 0.197, prior_entropy: 3.3219, recall: 0.197, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 906.4475, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.0893, kappa: 0.1072, kb_relative_information_score: 494.714, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0711, predictive_accuracy: 0.1965, prior_entropy: 3.3219, recall: 0.1965, relative_absolute_error: 0.914, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.957, scimark_benchmark: 937.1527, usercpu_time_millis: 1320, usercpu_time_millis_training: 1320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 912.7324, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.6928, kappa: 0.6706, kb_relative_information_score: 258.8508, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6989, predictive_accuracy: 0.7035, prior_entropy: 3.3219, recall: 0.7035, relative_absolute_error: 0.9492, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.9842, scimark_benchmark: 1339.4189, usercpu_time_millis: 120, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8108, kappa: 0.7906, kb_relative_information_score: 1582.8161, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8116, predictive_accuracy: 0.8115, prior_entropy: 3.3219, recall: 0.8115, relative_absolute_error: 0.3332, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.537, scimark_benchmark: 1344.3348, usercpu_time_millis: 16140, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 16050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8327, kappa: 0.8156, kb_relative_information_score: 1510.9705, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8324, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.549, scimark_benchmark: 1301.9956, usercpu_time_millis: 2160, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 2050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.831, kappa: 0.8128, kb_relative_information_score: 1682.9526, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8311, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.524, scimark_benchmark: 1321.7236, usercpu_time_millis: 21070, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 21050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.7747, kappa: 0.7533, kb_relative_information_score: 1557.1816, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7746, predictive_accuracy: 0.778, prior_entropy: 3.3219, recall: 0.778, relative_absolute_error: 0.2614, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.6618, scimark_benchmark: 1334.3805, usercpu_time_millis: 530, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.7117, kappa: 0.6789, kb_relative_information_score: 1385.2421, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.729, predictive_accuracy: 0.711, prior_entropy: 3.3219, recall: 0.711, relative_absolute_error: 0.3852, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.6975, scimark_benchmark: 1321.76, usercpu_time_millis: 3380, usercpu_time_millis_training: 3380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.6416, kappa: 0.6094, kb_relative_information_score: 1031.7837, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6409, predictive_accuracy: 0.6485, prior_entropy: 3.3219, recall: 0.6485, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.7595, scimark_benchmark: 1341.994, usercpu_time_millis: 1890, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8027, kappa: 0.7794, kb_relative_information_score: 1584.8343, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8058, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6642, scimark_benchmark: 1367.8403, usercpu_time_millis: 7570, usercpu_time_millis_testing: 7570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.762, kappa: 0.7294, kb_relative_information_score: 1502.065, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7805, predictive_accuracy: 0.7565, prior_entropy: 3.3219, recall: 0.7565, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.7216, scimark_benchmark: 1344.7246, usercpu_time_millis: 933260, usercpu_time_millis_testing: 933260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.4996, kappa: 0.4994, kb_relative_information_score: 621.222, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6133, predictive_accuracy: 0.5495, prior_entropy: 3.3219, recall: 0.5495, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.9198, scimark_benchmark: 1329.0992, usercpu_time_millis: 282090, usercpu_time_millis_testing: 282090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.7402, kappa: 0.7133, kb_relative_information_score: 1478.6992, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.739, predictive_accuracy: 0.742, prior_entropy: 3.3219, recall: 0.742, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.7324, scimark_benchmark: 854.5188, usercpu_time_millis: 1180510, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1180490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.8341, kappa: 0.815, kb_relative_information_score: 1675.3573, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.835, predictive_accuracy: 0.8335, prior_entropy: 3.3219, recall: 0.8335, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.165, root_relative_squared_error: 0.5501, scimark_benchmark: 1323.237, usercpu_time_millis: 71460, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 71370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.4792, kappa: 0.4933, kb_relative_information_score: 809.2347, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4627, predictive_accuracy: 0.544, prior_entropy: 3.3219, recall: 0.544, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.8323, scimark_benchmark: 1334.9657, usercpu_time_millis: 520, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.7603, kappa: 0.7328, kb_relative_information_score: 1546.1697, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7669, predictive_accuracy: 0.7595, prior_entropy: 3.3219, recall: 0.7595, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6641, scimark_benchmark: 1350.9691, usercpu_time_millis: 440, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.7598, kappa: 0.7322, kb_relative_information_score: 1546.2326, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7664, predictive_accuracy: 0.759, prior_entropy: 3.3219, recall: 0.759, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6641, scimark_benchmark: 1343.4572, usercpu_time_millis: 440, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.688, kappa: 0.6544, kb_relative_information_score: 1348.7534, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6878, predictive_accuracy: 0.689, prior_entropy: 3.3219, recall: 0.689, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.7782, scimark_benchmark: 1350.9691, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8106, f_measure: 0.6211, kappa: 0.5778, kb_relative_information_score: 1216.0459, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.624, predictive_accuracy: 0.62, prior_entropy: 3.3219, recall: 0.62, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.263, root_relative_squared_error: 0.8766, scimark_benchmark: 1386.5717, usercpu_time_millis: 600, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8106, f_measure: 0.6211, kappa: 0.5778, kb_relative_information_score: 1216.0459, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.624, predictive_accuracy: 0.62, prior_entropy: 3.3219, recall: 0.62, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.263, root_relative_squared_error: 0.8766, scimark_benchmark: 1315.3709, usercpu_time_millis: 550, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8205, kappa: 0.8017, kb_relative_information_score: 1661.0549, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.821, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5721, scimark_benchmark: 1144.961, usercpu_time_millis: 400, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.7982, kappa: 0.7761, kb_relative_information_score: 1567.9872, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7998, predictive_accuracy: 0.7985, prior_entropy: 3.3219, recall: 0.7985, relative_absolute_error: 0.3367, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.554, scimark_benchmark: 1343.4596, usercpu_time_millis: 1260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8028, kappa: 0.7811, kb_relative_information_score: 1574.8011, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8043, predictive_accuracy: 0.803, prior_entropy: 3.3219, recall: 0.803, relative_absolute_error: 0.3347, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.545, scimark_benchmark: 1316.7714, usercpu_time_millis: 3370, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.8049, kappa: 0.7839, kb_relative_information_score: 1578.4013, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8063, predictive_accuracy: 0.8055, prior_entropy: 3.3219, recall: 0.8055, relative_absolute_error: 0.3345, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.5406, scimark_benchmark: 1261.7298, usercpu_time_millis: 4800, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.8042, kappa: 0.7822, kb_relative_information_score: 1610.7975, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8049, predictive_accuracy: 0.804, prior_entropy: 3.3219, recall: 0.804, relative_absolute_error: 0.2798, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.5548, scimark_benchmark: 1311.1837, usercpu_time_millis: 6140, usercpu_time_millis_training: 6140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8031, kappa: 0.7811, kb_relative_information_score: 1628.4206, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8038, predictive_accuracy: 0.803, prior_entropy: 3.3219, recall: 0.803, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.5629, scimark_benchmark: 1264.0609, usercpu_time_millis: 11180, usercpu_time_millis_training: 11180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.8048, kappa: 0.7872, kb_relative_information_score: 1495.1771, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8033, predictive_accuracy: 0.8085, prior_entropy: 3.3219, recall: 0.8085, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.5622, scimark_benchmark: 1321.5205, usercpu_time_millis: 1340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8203, kappa: 0.8033, kb_relative_information_score: 1495.861, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8198, predictive_accuracy: 0.823, prior_entropy: 3.3219, recall: 0.823, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.5555, scimark_benchmark: 1324.5988, usercpu_time_millis: 7160, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 7030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.7802, kappa: 0.7633, kb_relative_information_score: 1554.5073, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7771, predictive_accuracy: 0.787, prior_entropy: 3.3219, recall: 0.787, relative_absolute_error: 0.2367, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.688, scimark_benchmark: 1307.3764, usercpu_time_millis: 38490, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 38370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.524, kappa: 0.4672, kb_relative_information_score: 49.3485, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6266, predictive_accuracy: 0.5205, prior_entropy: 3.3219, recall: 0.5205, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.9937, scimark_benchmark: 1313.6093, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8027, kappa: 0.7794, kb_relative_information_score: 1581.4626, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8058, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.6624, scimark_benchmark: 1349.9741, usercpu_time_millis: 2040, usercpu_time_millis_testing: 2040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.688, kappa: 0.6544, kb_relative_information_score: 1348.7534, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6878, predictive_accuracy: 0.689, prior_entropy: 3.3219, recall: 0.689, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.7782, scimark_benchmark: 1316.5986, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.8238, kappa: 0.8039, kb_relative_information_score: 1663.7218, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8245, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.2029, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.5679, scimark_benchmark: 1341.4981, usercpu_time_millis: 50390, usercpu_time_millis_training: 50390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.7349, kappa: 0.7133, kb_relative_information_score: 1438.1291, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7346, predictive_accuracy: 0.742, prior_entropy: 3.3219, recall: 0.742, relative_absolute_error: 0.419, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6288, scimark_benchmark: 1349.1028, usercpu_time_millis: 6160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.688, kappa: 0.6544, kb_relative_information_score: 1348.7534, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6878, predictive_accuracy: 0.689, prior_entropy: 3.3219, recall: 0.689, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.7782, scimark_benchmark: 1349.1028, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8214, kappa: 0.8044, kb_relative_information_score: 1495.5566, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8213, predictive_accuracy: 0.824, prior_entropy: 3.3219, recall: 0.824, relative_absolute_error: 0.4188, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.5555, scimark_benchmark: 1345.3152, usercpu_time_millis: 13570, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 13210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8184, kappa: 0.7989, kb_relative_information_score: 1637.3765, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8182, predictive_accuracy: 0.819, prior_entropy: 3.3219, recall: 0.819, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.6085, scimark_benchmark: 854.6529, usercpu_time_millis: 4500, usercpu_time_millis_testing: 1380, usercpu_time_millis_training: 3120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.8152, kappa: 0.7944, kb_relative_information_score: 1651.8944, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8158, predictive_accuracy: 0.815, prior_entropy: 3.3219, recall: 0.815, relative_absolute_error: 0.2221, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.169, root_relative_squared_error: 0.5632, scimark_benchmark: 1327.2954, usercpu_time_millis: 31990, usercpu_time_millis_training: 31990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.6097, kappa: 0.5656, kb_relative_information_score: 1182.2176, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6107, predictive_accuracy: 0.609, prior_entropy: 3.3219, recall: 0.609, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.9321, scimark_benchmark: 1339.9935, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.767, kappa: 0.7433, kb_relative_information_score: 1530.7824, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7718, predictive_accuracy: 0.769, prior_entropy: 3.3219, recall: 0.769, relative_absolute_error: 0.2876, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.6603, scimark_benchmark: 1340.1351, usercpu_time_millis: 2850, usercpu_time_millis_training: 2850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.688, kappa: 0.6544, kb_relative_information_score: 1348.7534, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6878, predictive_accuracy: 0.689, prior_entropy: 3.3219, recall: 0.689, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.7782, scimark_benchmark: 1151.6869, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.8347, kappa: 0.8172, kb_relative_information_score: 1679.0139, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8348, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.1908, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.5578, scimark_benchmark: 1064.8317, usercpu_time_millis: 39280, usercpu_time_millis_testing: 35700, usercpu_time_millis_training: 3580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8327, kappa: 0.8156, kb_relative_information_score: 1510.9705, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8324, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.549, scimark_benchmark: 1345.7204, usercpu_time_millis: 1940, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.672, kappa: 0.6333, kb_relative_information_score: 1262.6983, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6785, predictive_accuracy: 0.67, prior_entropy: 3.3219, recall: 0.67, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.7524, scimark_benchmark: 1354.7191, usercpu_time_millis: 200550, usercpu_time_millis_testing: 1740, usercpu_time_millis_training: 198810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.7757, kappa: 0.7522, kb_relative_information_score: 1568.1683, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7791, predictive_accuracy: 0.777, prior_entropy: 3.3219, recall: 0.777, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6411, scimark_benchmark: 933.1165, usercpu_time_millis: 220, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7647, kappa: 0.7383, kb_relative_information_score: 1507.4482, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7734, predictive_accuracy: 0.7645, prior_entropy: 3.3219, recall: 0.7645, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.217, root_relative_squared_error: 0.7234, scimark_benchmark: 1380.2233, usercpu_time_millis: 10990, usercpu_time_millis_testing: 7050, usercpu_time_millis_training: 3940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7647, kappa: 0.7383, kb_relative_information_score: 1507.4482, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7734, predictive_accuracy: 0.7645, prior_entropy: 3.3219, recall: 0.7645, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.217, root_relative_squared_error: 0.7234, scimark_benchmark: 1315.933, usercpu_time_millis: 11800, usercpu_time_millis_testing: 7790, usercpu_time_millis_training: 4010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8205, kappa: 0.8017, kb_relative_information_score: 1661.0549, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.821, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5721, scimark_benchmark: 918.0213, usercpu_time_millis: 500, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8205, kappa: 0.8017, kb_relative_information_score: 1661.0549, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.821, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5721, scimark_benchmark: 1449.4352, usercpu_time_millis: 350, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8327, kappa: 0.8156, kb_relative_information_score: 1510.9705, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8324, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.549, scimark_benchmark: 1322.7257, usercpu_time_millis: 1800, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.672, kappa: 0.6333, kb_relative_information_score: 1262.6983, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6785, predictive_accuracy: 0.67, prior_entropy: 3.3219, recall: 0.67, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.7524, scimark_benchmark: 1278.6629, usercpu_time_millis: 200720, usercpu_time_millis_testing: 1810, usercpu_time_millis_training: 198910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.7757, kappa: 0.7522, kb_relative_information_score: 1568.1683, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7791, predictive_accuracy: 0.777, prior_entropy: 3.3219, recall: 0.777, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6411, scimark_benchmark: 1322.7257, usercpu_time_millis: 190, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7647, kappa: 0.7383, kb_relative_information_score: 1507.4482, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7734, predictive_accuracy: 0.7645, prior_entropy: 3.3219, recall: 0.7645, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.217, root_relative_squared_error: 0.7234, scimark_benchmark: 1329.2389, usercpu_time_millis: 7530, usercpu_time_millis_testing: 4710, usercpu_time_millis_training: 2820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.688, kappa: 0.6544, kb_relative_information_score: 1348.7534, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6878, predictive_accuracy: 0.689, prior_entropy: 3.3219, recall: 0.689, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.7782, scimark_benchmark: 1334.1324, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.8347, kappa: 0.8172, kb_relative_information_score: 1679.0139, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8348, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.1908, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.5578, scimark_benchmark: 1350.4825, usercpu_time_millis: 42100, usercpu_time_millis_testing: 35740, usercpu_time_millis_training: 6360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.806, kappa: 0.7856, kb_relative_information_score: 1581.9396, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8066, predictive_accuracy: 0.807, prior_entropy: 3.3219, recall: 0.807, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.5379, scimark_benchmark: 1353.5464, usercpu_time_millis: 9700, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 9650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8327, kappa: 0.8156, kb_relative_information_score: 1510.9705, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8324, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.549, scimark_benchmark: 1357.7543, usercpu_time_millis: 1840, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8205, kappa: 0.8017, kb_relative_information_score: 1661.0549, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.821, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5721, scimark_benchmark: 1260.1387, usercpu_time_millis: 390, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 120,

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