Task
Supervised Classification on mfeat-morphological

Supervised Classification on mfeat-morphological

Task 248 Supervised Classification mfeat-morphological 314 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

314 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.7111, kappa: 0.6832, kb_relative_information_score: 487.8306, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7104, predictive_accuracy: 0.7152, prior_entropy: 3.3219, recall: 0.7152, relative_absolute_error: 0.3746, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.193, root_relative_squared_error: 0.6433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.7074, kappa: 0.6765, kb_relative_information_score: 487.5174, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7081, predictive_accuracy: 0.7091, prior_entropy: 3.3219, recall: 0.7091, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.6519, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.6977, kappa: 0.7018, kb_relative_information_score: 481.6357, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.69, predictive_accuracy: 0.7318, prior_entropy: 3.3219, recall: 0.7318, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.6237, scimark_benchmark: 851.2074, usercpu_time_millis: 590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5764, f_measure: 0.2303, kappa: 0.1512, kb_relative_information_score: 127.7094, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4471, predictive_accuracy: 0.2288, prior_entropy: 3.3219, recall: 0.2288, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3927, root_relative_squared_error: 1.3091, scimark_benchmark: 941.6675, usercpu_time_millis: 1220, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.7246, kappa: 0.6967, kb_relative_information_score: 507.2475, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7248, predictive_accuracy: 0.7273, prior_entropy: 3.3219, recall: 0.7273, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6058, scimark_benchmark: 941.6675, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.7228, kappa: 0.695, kb_relative_information_score: 471.3653, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7264, predictive_accuracy: 0.7258, prior_entropy: 3.3219, recall: 0.7258, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.6487, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.7287, kappa: 0.7001, kb_relative_information_score: 495.057, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7302, predictive_accuracy: 0.7303, prior_entropy: 3.3219, recall: 0.7303, relative_absolute_error: 0.3537, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6464, scimark_benchmark: 931.771, usercpu_time_millis: 930, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5764, f_measure: 0.2303, kappa: 0.1512, kb_relative_information_score: 127.7094, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4471, predictive_accuracy: 0.2288, prior_entropy: 3.3219, recall: 0.2288, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3927, root_relative_squared_error: 1.3091, scimark_benchmark: 937.5117, usercpu_time_millis: 1050, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 941.3847, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.7228, kappa: 0.695, kb_relative_information_score: 471.3653, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7264, predictive_accuracy: 0.7258, prior_entropy: 3.3219, recall: 0.7258, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.6487, scimark_benchmark: 947.1781, usercpu_time_millis: 860, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.7287, kappa: 0.7001, kb_relative_information_score: 495.057, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7302, predictive_accuracy: 0.7303, prior_entropy: 3.3219, recall: 0.7303, relative_absolute_error: 0.3537, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6464, scimark_benchmark: 943.1009, usercpu_time_millis: 920, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.7074, kappa: 0.6765, kb_relative_information_score: 487.5174, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7081, predictive_accuracy: 0.7091, prior_entropy: 3.3219, recall: 0.7091, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.6519, scimark_benchmark: 819.5729, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.6977, kappa: 0.7018, kb_relative_information_score: 481.6357, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.69, predictive_accuracy: 0.7318, prior_entropy: 3.3219, recall: 0.7318, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.6237, scimark_benchmark: 936.2574, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5764, f_measure: 0.2303, kappa: 0.1512, kb_relative_information_score: 127.7094, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4471, predictive_accuracy: 0.2288, prior_entropy: 3.3219, recall: 0.2288, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3927, root_relative_squared_error: 1.3091, scimark_benchmark: 730.6551, usercpu_time_millis: 4490, usercpu_time_millis_testing: 1660, usercpu_time_millis_training: 2830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 933.3455, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.7246, kappa: 0.6967, kb_relative_information_score: 507.2475, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7248, predictive_accuracy: 0.7273, prior_entropy: 3.3219, recall: 0.7273, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6058, scimark_benchmark: 933.3455, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 944.0133, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.7228, kappa: 0.695, kb_relative_information_score: 471.3653, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7264, predictive_accuracy: 0.7258, prior_entropy: 3.3219, recall: 0.7258, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.6487, scimark_benchmark: 936.9595, usercpu_time_millis: 1010, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.7287, kappa: 0.7001, kb_relative_information_score: 495.057, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7302, predictive_accuracy: 0.7303, prior_entropy: 3.3219, recall: 0.7303, relative_absolute_error: 0.3537, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6464, scimark_benchmark: 936.9595, usercpu_time_millis: 870, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.7438, kappa: 0.7388, kb_relative_information_score: 515.2729, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.753, predictive_accuracy: 0.7652, prior_entropy: 3.3219, recall: 0.7652, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5814, scimark_benchmark: 819.5729, usercpu_time_millis: 9170, usercpu_time_millis_testing: 2380, usercpu_time_millis_training: 6790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.7439, kappa: 0.7388, kb_relative_information_score: 514.618, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7526, predictive_accuracy: 0.7652, prior_entropy: 3.3219, recall: 0.7652, relative_absolute_error: 0.3437, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5826, scimark_benchmark: 932.438, usercpu_time_millis: 4310, usercpu_time_millis_testing: 690, usercpu_time_millis_training: 3620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.7422, kappa: 0.7354, kb_relative_information_score: 515.7273, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7527, predictive_accuracy: 0.7621, prior_entropy: 3.3219, recall: 0.7621, relative_absolute_error: 0.343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.584, scimark_benchmark: 944.235, usercpu_time_millis: 2290, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 1930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.743, kappa: 0.7405, kb_relative_information_score: 514.0131, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7438, predictive_accuracy: 0.7667, prior_entropy: 3.3219, recall: 0.7667, relative_absolute_error: 0.3446, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.5865, scimark_benchmark: 939.7883, usercpu_time_millis: 1090, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.7452, kappa: 0.7388, kb_relative_information_score: 515.533, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7553, predictive_accuracy: 0.7652, prior_entropy: 3.3219, recall: 0.7652, relative_absolute_error: 0.3425, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.5837, scimark_benchmark: 889.4922, usercpu_time_millis: 800, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0137, kb_relative_information_score: 5.6963, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0075, predictive_accuracy: 0.0864, prior_entropy: 3.3219, recall: 0.0864, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0006, scimark_benchmark: 929.0296, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.0545, kappa: 0.0944, kb_relative_information_score: 187.6797, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0326, predictive_accuracy: 0.1742, prior_entropy: 3.3219, recall: 0.1742, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.9463, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.0545, kappa: 0.0944, kb_relative_information_score: 187.6797, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0326, predictive_accuracy: 0.1742, prior_entropy: 3.3219, recall: 0.1742, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.9463, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.0545, kappa: 0.0944, kb_relative_information_score: 187.6797, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0326, predictive_accuracy: 0.1742, prior_entropy: 3.3219, recall: 0.1742, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.9463, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.0545, kappa: 0.0944, kb_relative_information_score: 187.6797, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0326, predictive_accuracy: 0.1742, prior_entropy: 3.3219, recall: 0.1742, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.9463, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.0545, kappa: 0.0944, kb_relative_information_score: 187.6797, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0326, predictive_accuracy: 0.1742, prior_entropy: 3.3219, recall: 0.1742, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.9463, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0137, kb_relative_information_score: 29.4082, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0075, predictive_accuracy: 0.0864, prior_entropy: 3.3219, recall: 0.0864, relative_absolute_error: 1.0152, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4275, root_relative_squared_error: 1.4249, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.7414, kappa: 0.7354, kb_relative_information_score: 500.1433, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7586, predictive_accuracy: 0.7621, prior_entropy: 3.3219, recall: 0.7621, relative_absolute_error: 0.3796, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.5943, scimark_benchmark: 926.5859, usercpu_time_millis: 630, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.7086, kappa: 0.7135, kb_relative_information_score: 504.3233, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6947, predictive_accuracy: 0.7424, prior_entropy: 3.3219, recall: 0.7424, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.6207, scimark_benchmark: 899.1108, usercpu_time_millis: 11520, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 11470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.0545, kappa: 0.0944, kb_relative_information_score: 187.4853, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0326, predictive_accuracy: 0.1742, prior_entropy: 3.3219, recall: 0.1742, relative_absolute_error: 0.8938, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9431, scimark_benchmark: 931.7994, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.7074, kappa: 0.6765, kb_relative_information_score: 487.5174, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7081, predictive_accuracy: 0.7091, prior_entropy: 3.3219, recall: 0.7091, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.6519, scimark_benchmark: 899.1108, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.6977, kappa: 0.7018, kb_relative_information_score: 481.6357, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.69, predictive_accuracy: 0.7318, prior_entropy: 3.3219, recall: 0.7318, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.6237, scimark_benchmark: 941.6062, usercpu_time_millis: 600, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5764, f_measure: 0.2303, kappa: 0.1512, kb_relative_information_score: 127.7094, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4471, predictive_accuracy: 0.2288, prior_entropy: 3.3219, recall: 0.2288, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3927, root_relative_squared_error: 1.3091, scimark_benchmark: 949.7766, usercpu_time_millis: 980, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5764, f_measure: 0.2303, kappa: 0.1512, kb_relative_information_score: 127.7094, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4471, predictive_accuracy: 0.2288, prior_entropy: 3.3219, recall: 0.2288, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3927, root_relative_squared_error: 1.3091, scimark_benchmark: 945.0194, usercpu_time_millis: 1100, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 938.838, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 945.0194, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.7246, kappa: 0.6967, kb_relative_information_score: 507.2475, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7248, predictive_accuracy: 0.7273, prior_entropy: 3.3219, recall: 0.7273, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6058, scimark_benchmark: 946.9304, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 942.3809, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.7228, kappa: 0.695, kb_relative_information_score: 471.3653, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7264, predictive_accuracy: 0.7258, prior_entropy: 3.3219, recall: 0.7258, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.6487, scimark_benchmark: 949.7766, usercpu_time_millis: 820, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.7287, kappa: 0.7001, kb_relative_information_score: 495.057, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7302, predictive_accuracy: 0.7303, prior_entropy: 3.3219, recall: 0.7303, relative_absolute_error: 0.3537, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6464, scimark_benchmark: 928.8135, usercpu_time_millis: 1490, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.7074, kappa: 0.6765, kb_relative_information_score: 487.5174, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7081, predictive_accuracy: 0.7091, prior_entropy: 3.3219, recall: 0.7091, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.6519, scimark_benchmark: 915.9028, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5764, f_measure: 0.2303, kappa: 0.1512, kb_relative_information_score: 127.7094, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4471, predictive_accuracy: 0.2288, prior_entropy: 3.3219, recall: 0.2288, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3927, root_relative_squared_error: 1.3091, scimark_benchmark: 1354.5533, usercpu_time_millis: 3820, usercpu_time_millis_testing: 1350, usercpu_time_millis_training: 2470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1335.974, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 926.6704, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.7074, kappa: 0.6765, kb_relative_information_score: 487.5174, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7081, predictive_accuracy: 0.7091, prior_entropy: 3.3219, recall: 0.7091, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.6519, scimark_benchmark: 1342.8632, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1353.0836, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.7074, kappa: 0.6765, kb_relative_information_score: 487.5174, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7081, predictive_accuracy: 0.7091, prior_entropy: 3.3219, recall: 0.7091, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.6519, scimark_benchmark: 1324.9519, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5764, f_measure: 0.2303, kappa: 0.1512, kb_relative_information_score: 127.7094, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4471, predictive_accuracy: 0.2288, prior_entropy: 3.3219, recall: 0.2288, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3927, root_relative_squared_error: 1.3091, scimark_benchmark: 1309.5873, usercpu_time_millis: 3900, usercpu_time_millis_testing: 1380, usercpu_time_millis_training: 2520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5764, f_measure: 0.2303, kappa: 0.1512, kb_relative_information_score: 127.7094, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4471, predictive_accuracy: 0.2288, prior_entropy: 3.3219, recall: 0.2288, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3927, root_relative_squared_error: 1.3091, scimark_benchmark: 1336.0954, usercpu_time_millis: 3910, usercpu_time_millis_testing: 1380, usercpu_time_millis_training: 2530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1336.0954, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5764, f_measure: 0.2303, kappa: 0.1512, kb_relative_information_score: 127.7094, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4471, predictive_accuracy: 0.2288, prior_entropy: 3.3219, recall: 0.2288, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3927, root_relative_squared_error: 1.3091, scimark_benchmark: 1303.5632, usercpu_time_millis: 3820, usercpu_time_millis_testing: 1350, usercpu_time_millis_training: 2470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1286.2211, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.7246, kappa: 0.6967, kb_relative_information_score: 507.2475, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7248, predictive_accuracy: 0.7273, prior_entropy: 3.3219, recall: 0.7273, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6058, scimark_benchmark: 1338.5214, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1331.7953, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.7026, kappa: 0.6765, kb_relative_information_score: 490.295, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7094, predictive_accuracy: 0.7091, prior_entropy: 3.3219, recall: 0.7091, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.6745, scimark_benchmark: 1337.8124, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1325.8468, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1340.9749, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.7228, kappa: 0.695, kb_relative_information_score: 471.3653, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7264, predictive_accuracy: 0.7258, prior_entropy: 3.3219, recall: 0.7258, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.6487, scimark_benchmark: 1317.5857, usercpu_time_millis: 1180, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.7074, kappa: 0.6765, kb_relative_information_score: 487.5174, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7081, predictive_accuracy: 0.7091, prior_entropy: 3.3219, recall: 0.7091, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.6519, scimark_benchmark: 1331.4379, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.7246, kappa: 0.6967, kb_relative_information_score: 507.2475, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7248, predictive_accuracy: 0.7273, prior_entropy: 3.3219, recall: 0.7273, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6058, scimark_benchmark: 1350.2591, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1306.9281, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5764, f_measure: 0.2303, kappa: 0.1512, kb_relative_information_score: 127.7094, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4471, predictive_accuracy: 0.2288, prior_entropy: 3.3219, recall: 0.2288, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3927, root_relative_squared_error: 1.3091, scimark_benchmark: 1327.3335, usercpu_time_millis: 3910, usercpu_time_millis_testing: 1360, usercpu_time_millis_training: 2550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.7026, kappa: 0.6765, kb_relative_information_score: 490.295, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7094, predictive_accuracy: 0.7091, prior_entropy: 3.3219, recall: 0.7091, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.6745, scimark_benchmark: 1321.8321, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1331.1314, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1337.1928, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1374.9737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1317.6232, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.7228, kappa: 0.695, kb_relative_information_score: 471.3653, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7264, predictive_accuracy: 0.7258, prior_entropy: 3.3219, recall: 0.7258, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.6487, scimark_benchmark: 1350.8432, usercpu_time_millis: 1150, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.6749, kappa: 0.6782, kb_relative_information_score: 482.9027, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6831, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.403, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.6644, scimark_benchmark: 1393.8432, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.6941, kappa: 0.6949, kb_relative_information_score: 493.2412, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6793, predictive_accuracy: 0.7258, prior_entropy: 3.3219, recall: 0.7258, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.6653, scimark_benchmark: 1330.4755, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.6977, kappa: 0.7018, kb_relative_information_score: 481.6357, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.69, predictive_accuracy: 0.7318, prior_entropy: 3.3219, recall: 0.7318, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.6237, scimark_benchmark: 1313.8988, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1352.9931, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1303.9481, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.7246, kappa: 0.6967, kb_relative_information_score: 507.2475, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7248, predictive_accuracy: 0.7273, prior_entropy: 3.3219, recall: 0.7273, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6058, scimark_benchmark: 1322.2005, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1345.0202, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1347.1763, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.7228, kappa: 0.695, kb_relative_information_score: 471.3653, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7264, predictive_accuracy: 0.7258, prior_entropy: 3.3219, recall: 0.7258, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.6487, scimark_benchmark: 1325.1482, usercpu_time_millis: 1140, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.7287, kappa: 0.7001, kb_relative_information_score: 495.057, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7302, predictive_accuracy: 0.7303, prior_entropy: 3.3219, recall: 0.7303, relative_absolute_error: 0.3537, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6464, scimark_benchmark: 1340.5125, usercpu_time_millis: 700, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.7074, kappa: 0.6765, kb_relative_information_score: 487.5174, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7081, predictive_accuracy: 0.7091, prior_entropy: 3.3219, recall: 0.7091, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.6519, scimark_benchmark: 1278.6629, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5764, f_measure: 0.2303, kappa: 0.1512, kb_relative_information_score: 127.7094, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4471, predictive_accuracy: 0.2288, prior_entropy: 3.3219, recall: 0.2288, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3927, root_relative_squared_error: 1.3091, scimark_benchmark: 1334.1324, usercpu_time_millis: 3820, usercpu_time_millis_testing: 1330, usercpu_time_millis_training: 2490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.7287, kappa: 0.7001, kb_relative_information_score: 495.057, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7302, predictive_accuracy: 0.7303, prior_entropy: 3.3219, recall: 0.7303, relative_absolute_error: 0.3537, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6464, scimark_benchmark: 1322.7257, usercpu_time_millis: 690, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.7026, kappa: 0.6765, kb_relative_information_score: 490.295, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7094, predictive_accuracy: 0.7091, prior_entropy: 3.3219, recall: 0.7091, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.6745, scimark_benchmark: 932.5646, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.7077, kappa: 0.6782, kb_relative_information_score: 498.4191, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7137, predictive_accuracy: 0.7106, prior_entropy: 3.3219, recall: 0.7106, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452, scimark_benchmark: 1335.5424, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5764, f_measure: 0.2303, kappa: 0.1512, kb_relative_information_score: 127.7094, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.4471, predictive_accuracy: 0.2288, prior_entropy: 3.3219, recall: 0.2288, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3927, root_relative_squared_error: 1.3091, scimark_benchmark: 935.5075, usercpu_time_millis: 1840, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 1230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.7026, kappa: 0.6765, kb_relative_information_score: 490.295, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7094, predictive_accuracy: 0.7091, prior_entropy: 3.3219, recall: 0.7091, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.6745, scimark_benchmark: 935.5075, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 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