Task
Supervised Classification on page-blocks

Supervised Classification on page-blocks

Task 1794 Supervised Classification page-blocks 313 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

313 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9605, kappa: 0.7911, kb_relative_information_score: 18964.9191, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9599, predictive_accuracy: 0.9623, prior_entropy: 0.6391, recall: 0.9623, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.5893, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9612, kappa: 0.7937, kb_relative_information_score: 19093.3695, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9605, predictive_accuracy: 0.9626, prior_entropy: 0.6391, recall: 0.9626, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.5587, scimark_benchmark: 851.2074, usercpu_time_millis: 2500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9685, kappa: 0.834, kb_relative_information_score: 20526.0029, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9684, predictive_accuracy: 0.9699, prior_entropy: 0.6391, recall: 0.9699, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.4964, scimark_benchmark: 941.6675, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9718, kappa: 0.8508, kb_relative_information_score: 21151.7425, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9716, predictive_accuracy: 0.9726, prior_entropy: 0.6391, recall: 0.9726, relative_absolute_error: 0.2288, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.093, root_relative_squared_error: 0.4771, scimark_benchmark: 931.771, usercpu_time_millis: 2100, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 1940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.8759, kappa: 0.222, kb_relative_information_score: 8400.5775, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8794, predictive_accuracy: 0.9092, prior_entropy: 0.6391, recall: 0.9092, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.9783, scimark_benchmark: 974.2014, usercpu_time_millis: 120400, usercpu_time_millis_testing: 10550, usercpu_time_millis_training: 109850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9647, kappa: 0.8134, kb_relative_information_score: 19116.6249, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9642, predictive_accuracy: 0.9654, prior_entropy: 0.6391, recall: 0.9654, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.56, scimark_benchmark: 938.5498, usercpu_time_millis: 4380, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9718, kappa: 0.8508, kb_relative_information_score: 21151.7425, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9716, predictive_accuracy: 0.9726, prior_entropy: 0.6391, recall: 0.9726, relative_absolute_error: 0.2288, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.093, root_relative_squared_error: 0.4771, scimark_benchmark: 943.1009, usercpu_time_millis: 2450, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 2130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9605, kappa: 0.7911, kb_relative_information_score: 18964.9191, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9599, predictive_accuracy: 0.9623, prior_entropy: 0.6391, recall: 0.9623, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.5893, scimark_benchmark: 819.5729, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9612, kappa: 0.7937, kb_relative_information_score: 19093.3695, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9605, predictive_accuracy: 0.9626, prior_entropy: 0.6391, recall: 0.9626, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.5587, scimark_benchmark: 936.2574, usercpu_time_millis: 1380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.8759, kappa: 0.222, kb_relative_information_score: 8400.5775, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8794, predictive_accuracy: 0.9092, prior_entropy: 0.6391, recall: 0.9092, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.9783, scimark_benchmark: 927.2882, usercpu_time_millis: 67480, usercpu_time_millis_testing: 2940, usercpu_time_millis_training: 64540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 903.2737, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 941.4991, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9685, kappa: 0.834, kb_relative_information_score: 20526.0029, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9684, predictive_accuracy: 0.9699, prior_entropy: 0.6391, recall: 0.9699, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.4964, scimark_benchmark: 933.3455, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 944.0133, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9647, kappa: 0.8134, kb_relative_information_score: 19116.6249, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9642, predictive_accuracy: 0.9654, prior_entropy: 0.6391, recall: 0.9654, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.56, scimark_benchmark: 917.5013, usercpu_time_millis: 4090, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9718, kappa: 0.8508, kb_relative_information_score: 21151.7425, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9716, predictive_accuracy: 0.9726, prior_entropy: 0.6391, recall: 0.9726, relative_absolute_error: 0.2288, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.093, root_relative_squared_error: 0.4771, scimark_benchmark: 901.4991, usercpu_time_millis: 2250, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 2080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9735, kappa: 0.8601, kb_relative_information_score: 21073.2164, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9734, predictive_accuracy: 0.9744, prior_entropy: 0.6391, recall: 0.9744, relative_absolute_error: 0.2492, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.4688, scimark_benchmark: 936.2727, usercpu_time_millis: 60350, usercpu_time_millis_testing: 15000, usercpu_time_millis_training: 45350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9735, kappa: 0.8598, kb_relative_information_score: 21075.0157, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9733, predictive_accuracy: 0.9743, prior_entropy: 0.6391, recall: 0.9743, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.4702, scimark_benchmark: 935.2002, usercpu_time_millis: 24860, usercpu_time_millis_testing: 3190, usercpu_time_millis_training: 21670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9728, kappa: 0.8564, kb_relative_information_score: 21018.8911, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9726, predictive_accuracy: 0.9737, prior_entropy: 0.6391, recall: 0.9737, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.4731, scimark_benchmark: 928.7131, usercpu_time_millis: 15770, usercpu_time_millis_testing: 1790, usercpu_time_millis_training: 13980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9723, kappa: 0.8536, kb_relative_information_score: 20929.0586, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9721, predictive_accuracy: 0.9732, prior_entropy: 0.6391, recall: 0.9732, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.4766, scimark_benchmark: 939.7883, usercpu_time_millis: 7190, usercpu_time_millis_testing: 830, usercpu_time_millis_training: 6360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9717, kappa: 0.85, kb_relative_information_score: 20682.914, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9714, predictive_accuracy: 0.9725, prior_entropy: 0.6391, recall: 0.9725, relative_absolute_error: 0.2518, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.4856, scimark_benchmark: 941.9549, usercpu_time_millis: 3390, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 2940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9443, kappa: 0.7025, kb_relative_information_score: 15720.1286, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9424, predictive_accuracy: 0.9479, prior_entropy: 0.6391, recall: 0.9479, relative_absolute_error: 0.4137, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.6543, scimark_benchmark: 936.1714, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 9191.1015, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.153, root_relative_squared_error: 0.7853, scimark_benchmark: 938.3115, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 9191.1015, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.153, root_relative_squared_error: 0.7853, scimark_benchmark: 938.3115, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 9191.1015, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.153, root_relative_squared_error: 0.7853, scimark_benchmark: 936.1714, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 9191.1015, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.153, root_relative_squared_error: 0.7853, scimark_benchmark: 938.3115, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 9191.1015, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.153, root_relative_squared_error: 0.7853, scimark_benchmark: 935.6052, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 12293.2359, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.3616, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.8489, scimark_benchmark: 935.6052, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8493, kb_relative_information_score: 5748.2341, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8058, predictive_accuracy: 0.8977, prior_entropy: 0.6391, recall: 0.8977, relative_absolute_error: 0.5374, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.2023, root_relative_squared_error: 1.0383, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9699, kappa: 0.8412, kb_relative_information_score: 21070.8063, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9696, predictive_accuracy: 0.9707, prior_entropy: 0.6391, recall: 0.9707, relative_absolute_error: 0.2243, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.5108, scimark_benchmark: 926.5859, usercpu_time_millis: 1330, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9708, kappa: 0.8467, kb_relative_information_score: 19805.9429, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9705, predictive_accuracy: 0.9714, prior_entropy: 0.6391, recall: 0.9714, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.5002, scimark_benchmark: 933.0918, usercpu_time_millis: 46170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 46090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.9115, kappa: 0.5559, kb_relative_information_score: 8143.9039, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8922, predictive_accuracy: 0.9317, prior_entropy: 0.6391, recall: 0.9317, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.7826, scimark_benchmark: 931.7994, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9605, kappa: 0.7911, kb_relative_information_score: 18964.9191, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9599, predictive_accuracy: 0.9623, prior_entropy: 0.6391, recall: 0.9623, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.5893, scimark_benchmark: 923.509, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.8759, kappa: 0.222, kb_relative_information_score: 8400.5775, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8794, predictive_accuracy: 0.9092, prior_entropy: 0.6391, recall: 0.9092, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.9783, scimark_benchmark: 928.8135, usercpu_time_millis: 28920, usercpu_time_millis_testing: 2640, usercpu_time_millis_training: 26280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.8759, kappa: 0.222, kb_relative_information_score: 8400.5775, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8794, predictive_accuracy: 0.9092, prior_entropy: 0.6391, recall: 0.9092, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.9783, scimark_benchmark: 945.0194, usercpu_time_millis: 61860, usercpu_time_millis_testing: 2670, usercpu_time_millis_training: 59190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 946.9304, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 922.5036, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9685, kappa: 0.834, kb_relative_information_score: 20526.0029, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9684, predictive_accuracy: 0.9699, prior_entropy: 0.6391, recall: 0.9699, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.4964, scimark_benchmark: 946.9304, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 879.4299, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9647, kappa: 0.8134, kb_relative_information_score: 19116.6249, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9642, predictive_accuracy: 0.9654, prior_entropy: 0.6391, recall: 0.9654, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.56, scimark_benchmark: 946.9304, usercpu_time_millis: 4250, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 4180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9718, kappa: 0.8508, kb_relative_information_score: 21151.7425, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9716, predictive_accuracy: 0.9726, prior_entropy: 0.6391, recall: 0.9726, relative_absolute_error: 0.2288, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.093, root_relative_squared_error: 0.4771, scimark_benchmark: 928.8135, usercpu_time_millis: 2890, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 2590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9605, kappa: 0.7911, kb_relative_information_score: 18964.9191, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9599, predictive_accuracy: 0.9623, prior_entropy: 0.6391, recall: 0.9623, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.5893, scimark_benchmark: 901.8743, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.9123, kappa: 0.5808, kb_relative_information_score: 9995.6919, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8986, predictive_accuracy: 0.9314, prior_entropy: 0.6391, recall: 0.9314, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.7974, scimark_benchmark: 946.6409, usercpu_time_millis: 83760, usercpu_time_millis_testing: 83760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.8759, kappa: 0.222, kb_relative_information_score: 8400.5775, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8794, predictive_accuracy: 0.9092, prior_entropy: 0.6391, recall: 0.9092, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.9783, scimark_benchmark: 1327.3335, usercpu_time_millis: 107190, usercpu_time_millis_testing: 10860, usercpu_time_millis_training: 96330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9393, kappa: 0.7007, kb_relative_information_score: 15890.8185, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9504, predictive_accuracy: 0.933, prior_entropy: 0.6391, recall: 0.933, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.762, scimark_benchmark: 1346.2927, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1346.2927, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1332.1612, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.8759, kappa: 0.222, kb_relative_information_score: 8400.5775, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8794, predictive_accuracy: 0.9092, prior_entropy: 0.6391, recall: 0.9092, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.9783, scimark_benchmark: 1292.514, usercpu_time_millis: 107850, usercpu_time_millis_testing: 9460, usercpu_time_millis_training: 98390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 926.6704, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9718, kappa: 0.8508, kb_relative_information_score: 21151.7425, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9716, predictive_accuracy: 0.9726, prior_entropy: 0.6391, recall: 0.9726, relative_absolute_error: 0.2288, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.093, root_relative_squared_error: 0.4771, scimark_benchmark: 1323.2573, usercpu_time_millis: 1970, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 1800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1325.7874, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9647, kappa: 0.8134, kb_relative_information_score: 19116.6249, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9642, predictive_accuracy: 0.9654, prior_entropy: 0.6391, recall: 0.9654, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.56, scimark_benchmark: 1342.8632, usercpu_time_millis: 5240, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 5070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9605, kappa: 0.7911, kb_relative_information_score: 18964.9191, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9599, predictive_accuracy: 0.9623, prior_entropy: 0.6391, recall: 0.9623, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.5893, scimark_benchmark: 1322.5413, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1307.8606, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9393, kappa: 0.7007, kb_relative_information_score: 15890.8185, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9504, predictive_accuracy: 0.933, prior_entropy: 0.6391, recall: 0.933, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.762, scimark_benchmark: 1331.2559, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1338.5214, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1331.7953, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9605, kappa: 0.7911, kb_relative_information_score: 18964.9191, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9599, predictive_accuracy: 0.9623, prior_entropy: 0.6391, recall: 0.9623, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.5893, scimark_benchmark: 1322.3407, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.8759, kappa: 0.222, kb_relative_information_score: 8400.5775, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8794, predictive_accuracy: 0.9092, prior_entropy: 0.6391, recall: 0.9092, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.9783, scimark_benchmark: 1342.8584, usercpu_time_millis: 165350, usercpu_time_millis_testing: 10630, usercpu_time_millis_training: 154720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.8759, kappa: 0.222, kb_relative_information_score: 8400.5775, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8794, predictive_accuracy: 0.9092, prior_entropy: 0.6391, recall: 0.9092, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.9783, scimark_benchmark: 930.5999, usercpu_time_millis: 48540, usercpu_time_millis_testing: 2530, usercpu_time_millis_training: 46010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9393, kappa: 0.7007, kb_relative_information_score: 15890.8185, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9504, predictive_accuracy: 0.933, prior_entropy: 0.6391, recall: 0.933, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.762, scimark_benchmark: 930.5999, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1325.8468, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1324.8408, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 930.5999, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9605, kappa: 0.7911, kb_relative_information_score: 18964.9191, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9599, predictive_accuracy: 0.9623, prior_entropy: 0.6391, recall: 0.9623, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.5893, scimark_benchmark: 1331.4379, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9393, kappa: 0.7007, kb_relative_information_score: 15890.8185, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9504, predictive_accuracy: 0.933, prior_entropy: 0.6391, recall: 0.933, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.762, scimark_benchmark: 1350.2591, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1366.7181, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1324.6442, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9685, kappa: 0.834, kb_relative_information_score: 20526.0029, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9684, predictive_accuracy: 0.9699, prior_entropy: 0.6391, recall: 0.9699, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.4964, scimark_benchmark: 1350.2591, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1324.6442, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.8759, kappa: 0.222, kb_relative_information_score: 8400.5775, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8794, predictive_accuracy: 0.9092, prior_entropy: 0.6391, recall: 0.9092, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.9783, scimark_benchmark: 1316.5668, usercpu_time_millis: 155100, usercpu_time_millis_testing: 15620, usercpu_time_millis_training: 139480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9393, kappa: 0.7007, kb_relative_information_score: 15890.8185, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9504, predictive_accuracy: 0.933, prior_entropy: 0.6391, recall: 0.933, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.762, scimark_benchmark: 1318.4315, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1342.8584, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1310.6554, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1337.9552, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9685, kappa: 0.834, kb_relative_information_score: 20526.0029, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9684, predictive_accuracy: 0.9699, prior_entropy: 0.6391, recall: 0.9699, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.4964, scimark_benchmark: 1337.9552, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9393, kappa: 0.7007, kb_relative_information_score: 15890.8185, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9504, predictive_accuracy: 0.933, prior_entropy: 0.6391, recall: 0.933, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.762, scimark_benchmark: 1332.9478, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1325.8468, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1350.7721, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1332.9478, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9647, kappa: 0.8134, kb_relative_information_score: 19116.6249, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9642, predictive_accuracy: 0.9654, prior_entropy: 0.6391, recall: 0.9654, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.56, scimark_benchmark: 1309.2287, usercpu_time_millis: 5250, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 5070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9718, kappa: 0.8508, kb_relative_information_score: 21151.7425, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9716, predictive_accuracy: 0.9726, prior_entropy: 0.6391, recall: 0.9726, relative_absolute_error: 0.2288, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.093, root_relative_squared_error: 0.4771, scimark_benchmark: 1367.3264, usercpu_time_millis: 2180, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 2010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9605, kappa: 0.7911, kb_relative_information_score: 18964.9191, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9599, predictive_accuracy: 0.9623, prior_entropy: 0.6391, recall: 0.9623, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.5893, scimark_benchmark: 1310.3168, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9676, kappa: 0.8301, kb_relative_information_score: 20867.8405, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9673, predictive_accuracy: 0.9681, prior_entropy: 0.6391, recall: 0.9681, relative_absolute_error: 0.2095, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.5395, scimark_benchmark: 1322.5413, usercpu_time_millis: 1930, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 1600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9612, kappa: 0.7937, kb_relative_information_score: 19093.3695, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9605, predictive_accuracy: 0.9626, prior_entropy: 0.6391, recall: 0.9626, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.5587, scimark_benchmark: 1317.7919, usercpu_time_millis: 1210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1335.2363, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1325.6322, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1342.9012, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9685, kappa: 0.834, kb_relative_information_score: 20526.0029, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9684, predictive_accuracy: 0.9699, prior_entropy: 0.6391, recall: 0.9699, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.4964, scimark_benchmark: 1342.4614, usercpu_time_millis: 480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1296.9979, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9718, kappa: 0.8508, kb_relative_information_score: 21151.7425, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9716, predictive_accuracy: 0.9726, prior_entropy: 0.6391, recall: 0.9726, relative_absolute_error: 0.2288, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.093, root_relative_squared_error: 0.4771, scimark_benchmark: 1338.7159, usercpu_time_millis: 2000, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 1820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1371.174, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9647, kappa: 0.8134, kb_relative_information_score: 19116.6249, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9642, predictive_accuracy: 0.9654, prior_entropy: 0.6391, recall: 0.9654, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.56, scimark_benchmark: 1267.7714, usercpu_time_millis: 5580, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 5400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.8759, kappa: 0.222, kb_relative_information_score: 8400.5775, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8794, predictive_accuracy: 0.9092, prior_entropy: 0.6391, recall: 0.9092, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.9783, scimark_benchmark: 1354.5533, usercpu_time_millis: 99160, usercpu_time_millis_testing: 10100, usercpu_time_millis_training: 89060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1354.3488, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1322.7257, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1322.7257, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9647, kappa: 0.8134, kb_relative_information_score: 19116.6249, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9642, predictive_accuracy: 0.9654, prior_entropy: 0.6391, recall: 0.9654, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.56, scimark_benchmark: 940.3347, usercpu_time_millis: 4380, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 4310,

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