OpenML
Supervised Classification on autos

Supervised Classification on autos

Task 239 Supervised Classification autos 304 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

304 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.6904, kappa: 0.6257, kb_relative_information_score: 46.3551, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7005, predictive_accuracy: 0.7015, prior_entropy: 2.3268, recall: 0.7015, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.7543, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.4872, kappa: 0.3789, kb_relative_information_score: 32.104, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.5225, predictive_accuracy: 0.5075, prior_entropy: 2.3268, recall: 0.5075, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.9252, scimark_benchmark: 851.2074, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.1215, kappa: 0.019, kb_relative_information_score: 6.1999, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.3265, predictive_accuracy: 0.2537, prior_entropy: 2.3268, recall: 0.2537, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.4618, root_relative_squared_error: 1.3591, scimark_benchmark: 941.6675, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.5569, kappa: 0.4514, kb_relative_information_score: 33.1748, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.5528, predictive_accuracy: 0.5672, prior_entropy: 2.3268, recall: 0.5672, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.8577, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.5688, kappa: 0.4711, kb_relative_information_score: 34.9731, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.5863, predictive_accuracy: 0.5821, prior_entropy: 2.3268, recall: 0.5821, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.9177, scimark_benchmark: 927.2917, usercpu_time_millis: 590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8023, kappa: 0.7564, kb_relative_information_score: 46.1553, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.813, predictive_accuracy: 0.806, prior_entropy: 2.3268, recall: 0.806, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.6303, scimark_benchmark: 931.771, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.1215, kappa: 0.019, kb_relative_information_score: 6.1999, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.3265, predictive_accuracy: 0.2537, prior_entropy: 2.3268, recall: 0.2537, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.4618, root_relative_squared_error: 1.3591, scimark_benchmark: 937.5117, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.6293, kappa: 0.55, kb_relative_information_score: 39.3844, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6398, predictive_accuracy: 0.6418, prior_entropy: 2.3268, recall: 0.6418, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.8834, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.5688, kappa: 0.4711, kb_relative_information_score: 34.9731, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.5863, predictive_accuracy: 0.5821, prior_entropy: 2.3268, recall: 0.5821, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.9177, scimark_benchmark: 937.5117, usercpu_time_millis: 620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8023, kappa: 0.7564, kb_relative_information_score: 46.1553, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.813, predictive_accuracy: 0.806, prior_entropy: 2.3268, recall: 0.806, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.6303, scimark_benchmark: 943.1009, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.6904, kappa: 0.6257, kb_relative_information_score: 46.3551, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7005, predictive_accuracy: 0.7015, prior_entropy: 2.3268, recall: 0.7015, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.7543, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.4872, kappa: 0.3789, kb_relative_information_score: 32.104, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.5225, predictive_accuracy: 0.5075, prior_entropy: 2.3268, recall: 0.5075, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.9252, scimark_benchmark: 608.4057, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.1215, kappa: 0.019, kb_relative_information_score: 6.1999, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.3265, predictive_accuracy: 0.2537, prior_entropy: 2.3268, recall: 0.2537, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.4618, root_relative_squared_error: 1.3591, scimark_benchmark: 859.5223, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.6293, kappa: 0.55, kb_relative_information_score: 39.3844, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6398, predictive_accuracy: 0.6418, prior_entropy: 2.3268, recall: 0.6418, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.8834, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.5569, kappa: 0.4514, kb_relative_information_score: 33.1748, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.5528, predictive_accuracy: 0.5672, prior_entropy: 2.3268, recall: 0.5672, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.8577, scimark_benchmark: 941.4991, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.5688, kappa: 0.4711, kb_relative_information_score: 34.9731, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.5863, predictive_accuracy: 0.5821, prior_entropy: 2.3268, recall: 0.5821, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.9177, scimark_benchmark: 936.3213, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8023, kappa: 0.7564, kb_relative_information_score: 46.1553, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.813, predictive_accuracy: 0.806, prior_entropy: 2.3268, recall: 0.806, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.6303, scimark_benchmark: 936.9595, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.7499, kappa: 0.7004, kb_relative_information_score: 47.1334, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7595, predictive_accuracy: 0.7612, prior_entropy: 2.3268, recall: 0.7612, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.6304, scimark_benchmark: 1171.0303, usercpu_time_millis: 7530, usercpu_time_millis_testing: 2840, usercpu_time_millis_training: 4690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.7641, kappa: 0.7192, kb_relative_information_score: 47.093, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.764, predictive_accuracy: 0.7761, prior_entropy: 2.3268, recall: 0.7761, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.6304, scimark_benchmark: 934.695, usercpu_time_millis: 2990, usercpu_time_millis_testing: 1030, usercpu_time_millis_training: 1960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.7348, kappa: 0.6821, kb_relative_information_score: 47.0646, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.74, predictive_accuracy: 0.7463, prior_entropy: 2.3268, recall: 0.7463, relative_absolute_error: 0.4504, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.6458, scimark_benchmark: 917.2109, usercpu_time_millis: 1300, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.7633, kappa: 0.7194, kb_relative_information_score: 48.6893, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7637, predictive_accuracy: 0.7761, prior_entropy: 2.3268, recall: 0.7761, relative_absolute_error: 0.4208, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.6094, scimark_benchmark: 911.2316, usercpu_time_millis: 750, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.7932, kappa: 0.7568, kb_relative_information_score: 46.341, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7904, predictive_accuracy: 0.806, prior_entropy: 2.3268, recall: 0.806, relative_absolute_error: 0.4576, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.657, scimark_benchmark: 889.4922, usercpu_time_millis: 360, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0921, kb_relative_information_score: 0.8041, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.057, predictive_accuracy: 0.2388, prior_entropy: 2.3268, recall: 0.2388, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3422, root_relative_squared_error: 1.0071, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.2611, kappa: 0.1802, kb_relative_information_score: 14.9039, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.1971, predictive_accuracy: 0.3881, prior_entropy: 2.3268, recall: 0.3881, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.9728, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.2611, kappa: 0.1802, kb_relative_information_score: 14.9039, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.1971, predictive_accuracy: 0.3881, prior_entropy: 2.3268, recall: 0.3881, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.9728, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.2611, kappa: 0.1802, kb_relative_information_score: 14.9039, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.1971, predictive_accuracy: 0.3881, prior_entropy: 2.3268, recall: 0.3881, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.9728, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.2611, kappa: 0.1802, kb_relative_information_score: 14.9039, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.1971, predictive_accuracy: 0.3881, prior_entropy: 2.3268, recall: 0.3881, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.9728, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.2611, kappa: 0.1802, kb_relative_information_score: 14.9039, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.1971, predictive_accuracy: 0.3881, prior_entropy: 2.3268, recall: 0.3881, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.9728, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0921, kb_relative_information_score: 5.1771, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.057, predictive_accuracy: 0.2388, prior_entropy: 2.3268, recall: 0.2388, relative_absolute_error: 0.9611, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.4664, root_relative_squared_error: 1.3726, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.6269, kappa: 0.5615, kb_relative_information_score: 38.3285, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6431, predictive_accuracy: 0.6567, prior_entropy: 2.3268, recall: 0.6567, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.7192, scimark_benchmark: 926.5859, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.7572, kappa: 0.7007, kb_relative_information_score: 42.7196, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7786, predictive_accuracy: 0.7612, prior_entropy: 2.3268, recall: 0.7612, relative_absolute_error: 0.5111, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.6642, scimark_benchmark: 899.1108, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.3252, kappa: 0.2262, kb_relative_information_score: 12.0571, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.3527, predictive_accuracy: 0.4179, prior_entropy: 2.3268, recall: 0.4179, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.947, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.6904, kappa: 0.6257, kb_relative_information_score: 46.3551, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7005, predictive_accuracy: 0.7015, prior_entropy: 2.3268, recall: 0.7015, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.7543, scimark_benchmark: 926.4745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.4872, kappa: 0.3789, kb_relative_information_score: 32.104, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.5225, predictive_accuracy: 0.5075, prior_entropy: 2.3268, recall: 0.5075, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.9252, scimark_benchmark: 922.9595, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.1215, kappa: 0.019, kb_relative_information_score: 6.1999, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.3265, predictive_accuracy: 0.2537, prior_entropy: 2.3268, recall: 0.2537, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.4618, root_relative_squared_error: 1.3591, scimark_benchmark: 949.7766, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.6293, kappa: 0.55, kb_relative_information_score: 39.3844, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6398, predictive_accuracy: 0.6418, prior_entropy: 2.3268, recall: 0.6418, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.8834, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.5569, kappa: 0.4514, kb_relative_information_score: 33.1748, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.5528, predictive_accuracy: 0.5672, prior_entropy: 2.3268, recall: 0.5672, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.8577, scimark_benchmark: 946.9304, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 942.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.5688, kappa: 0.4711, kb_relative_information_score: 34.9731, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.5863, predictive_accuracy: 0.5821, prior_entropy: 2.3268, recall: 0.5821, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.9177, scimark_benchmark: 935.627, usercpu_time_millis: 430, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8023, kappa: 0.7564, kb_relative_information_score: 46.1553, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.813, predictive_accuracy: 0.806, prior_entropy: 2.3268, recall: 0.806, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.6303, scimark_benchmark: 935.627, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.6904, kappa: 0.6257, kb_relative_information_score: 46.3551, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7005, predictive_accuracy: 0.7015, prior_entropy: 2.3268, recall: 0.7015, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.7543, scimark_benchmark: 915.9028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.1215, kappa: 0.019, kb_relative_information_score: 6.1999, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.3265, predictive_accuracy: 0.2537, prior_entropy: 2.3268, recall: 0.2537, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.4618, root_relative_squared_error: 1.3591, scimark_benchmark: 1354.5533, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.6293, kappa: 0.55, kb_relative_information_score: 39.3844, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6398, predictive_accuracy: 0.6418, prior_entropy: 2.3268, recall: 0.6418, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.8834, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.6904, kappa: 0.6257, kb_relative_information_score: 46.3551, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7005, predictive_accuracy: 0.7015, prior_entropy: 2.3268, recall: 0.7015, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.7543, scimark_benchmark: 1324.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.1215, kappa: 0.019, kb_relative_information_score: 6.1999, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.3265, predictive_accuracy: 0.2537, prior_entropy: 2.3268, recall: 0.2537, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.4618, root_relative_squared_error: 1.3591, scimark_benchmark: 1303.5632, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 1331.7953, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.1215, kappa: 0.019, kb_relative_information_score: 6.1999, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.3265, predictive_accuracy: 0.2537, prior_entropy: 2.3268, recall: 0.2537, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.4618, root_relative_squared_error: 1.3591, scimark_benchmark: 1325.8468, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 1333.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.1215, kappa: 0.019, kb_relative_information_score: 6.1999, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.3265, predictive_accuracy: 0.2537, prior_entropy: 2.3268, recall: 0.2537, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.4618, root_relative_squared_error: 1.3591, scimark_benchmark: 1349.1517, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 1374.9737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.5569, kappa: 0.4514, kb_relative_information_score: 33.1748, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.5528, predictive_accuracy: 0.5672, prior_entropy: 2.3268, recall: 0.5672, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.8577, scimark_benchmark: 1350.2591, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.6389, kappa: 0.552, kb_relative_information_score: 40.1933, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6631, predictive_accuracy: 0.6418, prior_entropy: 2.3268, recall: 0.6418, relative_absolute_error: 0.4724, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.8988, scimark_benchmark: 1310.3168, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.6904, kappa: 0.6257, kb_relative_information_score: 46.3551, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7005, predictive_accuracy: 0.7015, prior_entropy: 2.3268, recall: 0.7015, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.7543, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.1215, kappa: 0.019, kb_relative_information_score: 6.1999, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.3265, predictive_accuracy: 0.2537, prior_entropy: 2.3268, recall: 0.2537, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.4618, root_relative_squared_error: 1.3591, scimark_benchmark: 1321.8321, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 1329.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8023, kappa: 0.7564, kb_relative_information_score: 46.1553, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.813, predictive_accuracy: 0.806, prior_entropy: 2.3268, recall: 0.806, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.6303, scimark_benchmark: 1354.5533, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.6904, kappa: 0.6257, kb_relative_information_score: 46.3551, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7005, predictive_accuracy: 0.7015, prior_entropy: 2.3268, recall: 0.7015, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.7543, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.1215, kappa: 0.019, kb_relative_information_score: 6.1999, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.3265, predictive_accuracy: 0.2537, prior_entropy: 2.3268, recall: 0.2537, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.4618, root_relative_squared_error: 1.3591, scimark_benchmark: 1337.1928, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.1215, kappa: 0.019, kb_relative_information_score: 6.1999, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.3265, predictive_accuracy: 0.2537, prior_entropy: 2.3268, recall: 0.2537, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.4618, root_relative_squared_error: 1.3591, scimark_benchmark: 1327.3335, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.6293, kappa: 0.55, kb_relative_information_score: 39.3844, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6398, predictive_accuracy: 0.6418, prior_entropy: 2.3268, recall: 0.6418, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.8834, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 1332.7986, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 1337.3324, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 1317.6232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.5688, kappa: 0.4711, kb_relative_information_score: 34.9731, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.5863, predictive_accuracy: 0.5821, prior_entropy: 2.3268, recall: 0.5821, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.9177, scimark_benchmark: 1317.6232, usercpu_time_millis: 550, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8023, kappa: 0.7564, kb_relative_information_score: 46.1553, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.813, predictive_accuracy: 0.806, prior_entropy: 2.3268, recall: 0.806, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.6303, scimark_benchmark: 1367.3264, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.4872, kappa: 0.3789, kb_relative_information_score: 32.104, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.5225, predictive_accuracy: 0.5075, prior_entropy: 2.3268, recall: 0.5075, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.9252, scimark_benchmark: 1313.8988, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.1215, kappa: 0.019, kb_relative_information_score: 6.1999, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.3265, predictive_accuracy: 0.2537, prior_entropy: 2.3268, recall: 0.2537, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.4618, root_relative_squared_error: 1.3591, scimark_benchmark: 1342.4614, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.1215, kappa: 0.019, kb_relative_information_score: 6.1999, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.3265, predictive_accuracy: 0.2537, prior_entropy: 2.3268, recall: 0.2537, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.4618, root_relative_squared_error: 1.3591, scimark_benchmark: 1303.9481, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 1390.8284, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 1321.8321, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 1324.2313, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8023, kappa: 0.7564, kb_relative_information_score: 46.1553, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.813, predictive_accuracy: 0.806, prior_entropy: 2.3268, recall: 0.806, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.6303, scimark_benchmark: 1330.8256, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8023, kappa: 0.7564, kb_relative_information_score: 46.1553, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.813, predictive_accuracy: 0.806, prior_entropy: 2.3268, recall: 0.806, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.6303, scimark_benchmark: 1313.8988, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.4872, kappa: 0.3789, kb_relative_information_score: 32.104, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.5225, predictive_accuracy: 0.5075, prior_entropy: 2.3268, recall: 0.5075, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.9252, scimark_benchmark: 1331.7953, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 1343.7262, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 45.4957, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.7813, scimark_benchmark: 1336.9473, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.5688, kappa: 0.4711, kb_relative_information_score: 34.9731, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.5863, predictive_accuracy: 0.5821, prior_entropy: 2.3268, recall: 0.5821, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.9177, scimark_benchmark: 1267.7714, usercpu_time_millis: 500, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8023, kappa: 0.7564, kb_relative_information_score: 46.1553, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.813, predictive_accuracy: 0.806, prior_entropy: 2.3268, recall: 0.806, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.6303, scimark_benchmark: 1325.1482, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.7006, kappa: 0.6442, kb_relative_information_score: 46.3816, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7039, predictive_accuracy: 0.7164, prior_entropy: 2.3268, recall: 0.7164, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.259, root_relative_squared_error: 0.7624, scimark_benchmark: 1385.8862, usercpu_time_millis: 140, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.6904, kappa: 0.6257, kb_relative_information_score: 46.3551, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.7005, predictive_accuracy: 0.7015, prior_entropy: 2.3268, recall: 0.7015, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.7543, scimark_benchmark: 1318.2298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.1215, kappa: 0.019, kb_relative_information_score: 6.1999, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.3265, predictive_accuracy: 0.2537, prior_entropy: 2.3268, recall: 0.2537, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.4618, root_relative_squared_error: 1.3591, scimark_benchmark: 1267.3105, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.6293, kappa: 0.55, kb_relative_information_score: 39.3844, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.2263, number_of_instances: 67, precision: 0.6398, predictive_accuracy: 0.6418, prior_entropy: 2.3268, recall: 0.6418, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.3398, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.8834, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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