Task
Supervised Classification on pc4

Supervised Classification on pc4

Task 4607 Supervised Classification pc4 193 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

193 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.869, kappa: 0.3146, kb_relative_information_score: 406.0763, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8679, predictive_accuracy: 0.8888, prior_entropy: 0.5368, recall: 0.8888, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.8812, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.889, kappa: 0.4751, kb_relative_information_score: 439.0382, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8876, predictive_accuracy: 0.8905, prior_entropy: 0.5368, recall: 0.8905, relative_absolute_error: 0.7237, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.8137, scimark_benchmark: 972.587, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8764, kappa: 0.3848, kb_relative_information_score: 2450.4632, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8716, predictive_accuracy: 0.8856, prior_entropy: 0.5368, recall: 0.8856, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.266, root_relative_squared_error: 0.8126, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.8235, kappa: 0.0162, kb_relative_information_score: 3921.755, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8501, predictive_accuracy: 0.8785, prior_entropy: 0.5368, recall: 0.8785, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3486, root_relative_squared_error: 1.0649, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8209, kappa: 0.3843, kb_relative_information_score: -4894.5016, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8948, predictive_accuracy: 0.789, prior_entropy: 0.5368, recall: 0.789, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.409, root_relative_squared_error: 1.2493, scimark_benchmark: 938.191, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8938, kappa: 0.4691, kb_relative_information_score: 3409.2814, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8913, predictive_accuracy: 0.9024, prior_entropy: 0.5368, recall: 0.9024, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.7715, scimark_benchmark: 938.191, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.9061, kappa: 0.5209, kb_relative_information_score: 4184.7362, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.9085, predictive_accuracy: 0.9164, prior_entropy: 0.5368, recall: 0.9164, relative_absolute_error: 0.5786, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.7731, scimark_benchmark: 908.6124, usercpu_time_millis: 203000, usercpu_time_millis_testing: 990, usercpu_time_millis_training: 202010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8861, kappa: 0.4498, kb_relative_information_score: 2234.4048, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8831, predictive_accuracy: 0.8905, prior_entropy: 0.5368, recall: 0.8905, relative_absolute_error: 0.6369, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.8578, scimark_benchmark: 944.1067, usercpu_time_millis: 1740, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8958, kappa: 0.4638, kb_relative_information_score: 3499.951, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8983, predictive_accuracy: 0.9087, prior_entropy: 0.5368, recall: 0.9087, relative_absolute_error: 0.6139, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.7549, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.8235, kappa: 0.0162, kb_relative_information_score: 3921.755, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8501, predictive_accuracy: 0.8785, prior_entropy: 0.5368, recall: 0.8785, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3486, root_relative_squared_error: 1.0649, scimark_benchmark: 932.438, usercpu_time_millis: 2410, usercpu_time_millis_testing: 1120, usercpu_time_millis_training: 1290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.8235, kappa: 0.0162, kb_relative_information_score: 3921.755, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8501, predictive_accuracy: 0.8785, prior_entropy: 0.5368, recall: 0.8785, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3486, root_relative_squared_error: 1.0649, scimark_benchmark: 974.2014, usercpu_time_millis: 5330, usercpu_time_millis_testing: 2340, usercpu_time_millis_training: 2990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8958, kappa: 0.4638, kb_relative_information_score: 3499.951, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8983, predictive_accuracy: 0.9087, prior_entropy: 0.5368, recall: 0.9087, relative_absolute_error: 0.6139, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.7549, scimark_benchmark: 974.2014, usercpu_time_millis: 710, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.869, kappa: 0.3146, kb_relative_information_score: 406.0763, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8679, predictive_accuracy: 0.8888, prior_entropy: 0.5368, recall: 0.8888, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.8812, scimark_benchmark: 942.2392, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.889, kappa: 0.4751, kb_relative_information_score: 439.0382, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8876, predictive_accuracy: 0.8905, prior_entropy: 0.5368, recall: 0.8905, relative_absolute_error: 0.7237, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.8137, scimark_benchmark: 901.6243, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8764, kappa: 0.3848, kb_relative_information_score: 2450.4632, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8716, predictive_accuracy: 0.8856, prior_entropy: 0.5368, recall: 0.8856, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.266, root_relative_squared_error: 0.8126, scimark_benchmark: 938.1282, usercpu_time_millis: 760, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.8235, kappa: 0.0162, kb_relative_information_score: 3921.755, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8501, predictive_accuracy: 0.8785, prior_entropy: 0.5368, recall: 0.8785, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3486, root_relative_squared_error: 1.0649, scimark_benchmark: 936.9595, usercpu_time_millis: 2620, usercpu_time_millis_testing: 1360, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8209, kappa: 0.3843, kb_relative_information_score: -4894.5016, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8948, predictive_accuracy: 0.789, prior_entropy: 0.5368, recall: 0.789, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.409, root_relative_squared_error: 1.2493, scimark_benchmark: 930.404, usercpu_time_millis: 100, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8938, kappa: 0.4691, kb_relative_information_score: 3409.2814, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8913, predictive_accuracy: 0.9024, prior_entropy: 0.5368, recall: 0.9024, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.7715, scimark_benchmark: 933.3455, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.9061, kappa: 0.5209, kb_relative_information_score: 4184.7362, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.9085, predictive_accuracy: 0.9164, prior_entropy: 0.5368, recall: 0.9164, relative_absolute_error: 0.5786, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.7731, scimark_benchmark: 933.3455, usercpu_time_millis: 186400, usercpu_time_millis_testing: 710, usercpu_time_millis_training: 185690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8209, kappa: 0.3843, kb_relative_information_score: -4894.5016, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8948, predictive_accuracy: 0.789, prior_entropy: 0.5368, recall: 0.789, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.409, root_relative_squared_error: 1.2493, scimark_benchmark: 936.9595, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8958, kappa: 0.4638, kb_relative_information_score: 3499.951, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8983, predictive_accuracy: 0.9087, prior_entropy: 0.5368, recall: 0.9087, relative_absolute_error: 0.6139, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.7549, scimark_benchmark: 936.3213, usercpu_time_millis: 610, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9046, kappa: 0.5086, kb_relative_information_score: 4610.5483, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.9093, predictive_accuracy: 0.9164, prior_entropy: 0.5368, recall: 0.9164, relative_absolute_error: 0.575, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.7181, scimark_benchmark: 938.4601, usercpu_time_millis: 31900, usercpu_time_millis_testing: 13450, usercpu_time_millis_training: 18450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9057, kappa: 0.5157, kb_relative_information_score: 4645.05, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.9096, predictive_accuracy: 0.9169, prior_entropy: 0.5368, recall: 0.9169, relative_absolute_error: 0.5727, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.7172, scimark_benchmark: 608.4057, usercpu_time_millis: 25060, usercpu_time_millis_testing: 10980, usercpu_time_millis_training: 14080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9044, kappa: 0.5096, kb_relative_information_score: 4554.1015, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.9079, predictive_accuracy: 0.9157, prior_entropy: 0.5368, recall: 0.9157, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.7227, scimark_benchmark: 939.8002, usercpu_time_millis: 8400, usercpu_time_millis_testing: 3640, usercpu_time_millis_training: 4760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9049, kappa: 0.5153, kb_relative_information_score: 4454.3625, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.9067, predictive_accuracy: 0.9151, prior_entropy: 0.5368, recall: 0.9151, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.731, scimark_benchmark: 917.2109, usercpu_time_millis: 2810, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 2230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.9042, kappa: 0.5136, kb_relative_information_score: 4229.1305, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.9053, predictive_accuracy: 0.9141, prior_entropy: 0.5368, recall: 0.9141, relative_absolute_error: 0.5783, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.7442, scimark_benchmark: 920.5394, usercpu_time_millis: 1430, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8744, kappa: 0.45, kb_relative_information_score: 868.7469, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8842, predictive_accuracy: 0.8674, prior_entropy: 0.5368, recall: 0.8674, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.8607, scimark_benchmark: 926.5859, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8744, kappa: 0.45, kb_relative_information_score: 868.7469, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8842, predictive_accuracy: 0.8674, prior_entropy: 0.5368, recall: 0.8674, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.8607, scimark_benchmark: 938.3115, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8744, kappa: 0.45, kb_relative_information_score: 868.7469, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8842, predictive_accuracy: 0.8674, prior_entropy: 0.5368, recall: 0.8674, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.8607, scimark_benchmark: 926.5859, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8744, kappa: 0.45, kb_relative_information_score: 868.7469, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8842, predictive_accuracy: 0.8674, prior_entropy: 0.5368, recall: 0.8674, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.8607, scimark_benchmark: 941.9549, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8744, kappa: 0.45, kb_relative_information_score: 868.7469, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8842, predictive_accuracy: 0.8674, prior_entropy: 0.5368, recall: 0.8674, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.8607, scimark_benchmark: 926.5859, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.8208, kb_relative_information_score: -656.3759, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0001, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8775, kappa: 0.3437, kb_relative_information_score: 5781.084, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8942, predictive_accuracy: 0.9015, prior_entropy: 0.5368, recall: 0.9015, relative_absolute_error: 0.475, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.9053, scimark_benchmark: 929.0296, usercpu_time_millis: 1870, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8837, kappa: 0.3939, kb_relative_information_score: 5586.4997, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8867, predictive_accuracy: 0.9005, prior_entropy: 0.5368, recall: 0.9005, relative_absolute_error: 0.485, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.8635, scimark_benchmark: 929.0296, usercpu_time_millis: 910, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8572, kappa: 0.2198, kb_relative_information_score: 5163.5552, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8855, predictive_accuracy: 0.892, prior_entropy: 0.5368, recall: 0.892, relative_absolute_error: 0.5115, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.9391, scimark_benchmark: 941.9549, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8569, kappa: 0.2243, kb_relative_information_score: 4385.7183, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8702, predictive_accuracy: 0.8889, prior_entropy: 0.5368, recall: 0.8889, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.9186, scimark_benchmark: 940.0055, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8208, kb_relative_information_score: 3854.0503, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.5718, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3453, root_relative_squared_error: 1.0547, scimark_benchmark: 938.3115, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8208, kb_relative_information_score: 3873.8168, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3494, root_relative_squared_error: 1.0673, scimark_benchmark: 922.8232, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.8898, kappa: 0.481, kb_relative_information_score: 4670.3909, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8888, predictive_accuracy: 0.8909, prior_entropy: 0.5368, recall: 0.8909, relative_absolute_error: 0.5362, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.9113, scimark_benchmark: 922.8232, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.9015, kappa: 0.52, kb_relative_information_score: 3065.6668, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.899, predictive_accuracy: 0.9062, prior_entropy: 0.5368, recall: 0.9062, relative_absolute_error: 0.645, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.7711, scimark_benchmark: 926.5859, usercpu_time_millis: 6500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8208, kb_relative_information_score: -2008.796, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.886, scimark_benchmark: 933.0918, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.869, kappa: 0.3146, kb_relative_information_score: 406.0763, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8679, predictive_accuracy: 0.8888, prior_entropy: 0.5368, recall: 0.8888, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.8812, scimark_benchmark: 923.509, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.889, kappa: 0.4751, kb_relative_information_score: 439.0382, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8876, predictive_accuracy: 0.8905, prior_entropy: 0.5368, recall: 0.8905, relative_absolute_error: 0.7237, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.8137, scimark_benchmark: 906.0994, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8764, kappa: 0.3848, kb_relative_information_score: 2450.4632, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8716, predictive_accuracy: 0.8856, prior_entropy: 0.5368, recall: 0.8856, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.266, root_relative_squared_error: 0.8126, scimark_benchmark: 938.9926, usercpu_time_millis: 720, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.8235, kappa: 0.0162, kb_relative_information_score: 3921.755, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8501, predictive_accuracy: 0.8785, prior_entropy: 0.5368, recall: 0.8785, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3486, root_relative_squared_error: 1.0649, scimark_benchmark: 952.4682, usercpu_time_millis: 3470, usercpu_time_millis_testing: 1670, usercpu_time_millis_training: 1800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.8235, kappa: 0.0162, kb_relative_information_score: 3921.755, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8501, predictive_accuracy: 0.8785, prior_entropy: 0.5368, recall: 0.8785, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3486, root_relative_squared_error: 1.0649, scimark_benchmark: 939.3886, usercpu_time_millis: 2680, usercpu_time_millis_testing: 1320, usercpu_time_millis_training: 1360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8209, kappa: 0.3843, kb_relative_information_score: -4894.5016, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8948, predictive_accuracy: 0.789, prior_entropy: 0.5368, recall: 0.789, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.409, root_relative_squared_error: 1.2493, scimark_benchmark: 922.5036, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8209, kappa: 0.3843, kb_relative_information_score: -4894.5016, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8948, predictive_accuracy: 0.789, prior_entropy: 0.5368, recall: 0.789, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.409, root_relative_squared_error: 1.2493, scimark_benchmark: 938.838, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8938, kappa: 0.4691, kb_relative_information_score: 3409.2814, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8913, predictive_accuracy: 0.9024, prior_entropy: 0.5368, recall: 0.9024, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.7715, scimark_benchmark: 935.627, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.9061, kappa: 0.5209, kb_relative_information_score: 4184.7362, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.9085, predictive_accuracy: 0.9164, prior_entropy: 0.5368, recall: 0.9164, relative_absolute_error: 0.5786, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.7731, scimark_benchmark: 910.6607, usercpu_time_millis: 228410, usercpu_time_millis_testing: 770, usercpu_time_millis_training: 227640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8209, kappa: 0.3843, kb_relative_information_score: -4894.5016, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8948, predictive_accuracy: 0.789, prior_entropy: 0.5368, recall: 0.789, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.409, root_relative_squared_error: 1.2493, scimark_benchmark: 879.4299, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8861, kappa: 0.4498, kb_relative_information_score: 2234.4048, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8831, predictive_accuracy: 0.8905, prior_entropy: 0.5368, recall: 0.8905, relative_absolute_error: 0.6369, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.8578, scimark_benchmark: 935.627, usercpu_time_millis: 1690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8958, kappa: 0.4638, kb_relative_information_score: 3499.951, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8983, predictive_accuracy: 0.9087, prior_entropy: 0.5368, recall: 0.9087, relative_absolute_error: 0.6139, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.7549, scimark_benchmark: 879.4299, usercpu_time_millis: 700, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.869, kappa: 0.3146, kb_relative_information_score: 406.0763, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8679, predictive_accuracy: 0.8888, prior_entropy: 0.5368, recall: 0.8888, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.8812, scimark_benchmark: 936.4883, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.889, kappa: 0.4751, kb_relative_information_score: 439.0382, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8876, predictive_accuracy: 0.8905, prior_entropy: 0.5368, recall: 0.8905, relative_absolute_error: 0.7237, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.8137, scimark_benchmark: 937.5599, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.8235, kappa: 0.0162, kb_relative_information_score: 3921.755, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8501, predictive_accuracy: 0.8785, prior_entropy: 0.5368, recall: 0.8785, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3486, root_relative_squared_error: 1.0649, scimark_benchmark: 1331.4944, usercpu_time_millis: 5610, usercpu_time_millis_testing: 1980, usercpu_time_millis_training: 3630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7857, kappa: 0.2989, kb_relative_information_score: -8199.152, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8766, predictive_accuracy: 0.7448, prior_entropy: 0.5368, recall: 0.7448, relative_absolute_error: 1.1944, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.5117, scimark_benchmark: 1292.514, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7857, kappa: 0.2989, kb_relative_information_score: -8199.152, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8766, predictive_accuracy: 0.7448, prior_entropy: 0.5368, recall: 0.7448, relative_absolute_error: 1.1944, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.5117, scimark_benchmark: 1322.5413, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8209, kappa: 0.3843, kb_relative_information_score: -4894.5016, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8948, predictive_accuracy: 0.789, prior_entropy: 0.5368, recall: 0.789, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.409, root_relative_squared_error: 1.2493, scimark_benchmark: 1342.8632, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8209, kappa: 0.3843, kb_relative_information_score: -4894.5016, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8948, predictive_accuracy: 0.789, prior_entropy: 0.5368, recall: 0.789, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.409, root_relative_squared_error: 1.2493, scimark_benchmark: 1353.0836, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8209, kappa: 0.3843, kb_relative_information_score: -4894.5016, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8948, predictive_accuracy: 0.789, prior_entropy: 0.5368, recall: 0.789, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.409, root_relative_squared_error: 1.2493, scimark_benchmark: 1324.7884, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7857, kappa: 0.2989, kb_relative_information_score: -8199.152, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8766, predictive_accuracy: 0.7448, prior_entropy: 0.5368, recall: 0.7448, relative_absolute_error: 1.1944, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.5117, scimark_benchmark: 1346.2927, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8209, kappa: 0.3843, kb_relative_information_score: -4894.5016, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8948, predictive_accuracy: 0.789, prior_entropy: 0.5368, recall: 0.789, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.409, root_relative_squared_error: 1.2493, scimark_benchmark: 1362.9924, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8209, kappa: 0.3843, kb_relative_information_score: -4894.5016, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8948, predictive_accuracy: 0.789, prior_entropy: 0.5368, recall: 0.789, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.409, root_relative_squared_error: 1.2493, scimark_benchmark: 1349.1517, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8209, kappa: 0.3843, kb_relative_information_score: -4894.5016, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8948, predictive_accuracy: 0.789, prior_entropy: 0.5368, recall: 0.789, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.409, root_relative_squared_error: 1.2493, scimark_benchmark: 1347.6543, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7857, kappa: 0.2989, kb_relative_information_score: -8199.152, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8766, predictive_accuracy: 0.7448, prior_entropy: 0.5368, recall: 0.7448, relative_absolute_error: 1.1944, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.5117, scimark_benchmark: 1340.9749, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7857, kappa: 0.2989, kb_relative_information_score: -8199.152, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8766, predictive_accuracy: 0.7448, prior_entropy: 0.5368, recall: 0.7448, relative_absolute_error: 1.1944, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.5117, scimark_benchmark: 1324.6442, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8209, kappa: 0.3843, kb_relative_information_score: -4894.5016, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8948, predictive_accuracy: 0.789, prior_entropy: 0.5368, recall: 0.789, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.409, root_relative_squared_error: 1.2493, scimark_benchmark: 1317.5857, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.8235, kappa: 0.0162, kb_relative_information_score: 3921.755, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8501, predictive_accuracy: 0.8785, prior_entropy: 0.5368, recall: 0.8785, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3486, root_relative_squared_error: 1.0649, scimark_benchmark: 1347.1763, usercpu_time_millis: 2310, usercpu_time_millis_testing: 1130, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7857, kappa: 0.2989, kb_relative_information_score: -8199.152, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8766, predictive_accuracy: 0.7448, prior_entropy: 0.5368, recall: 0.7448, relative_absolute_error: 1.1944, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.5117, scimark_benchmark: 1313.11, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8209, kappa: 0.3843, kb_relative_information_score: -4894.5016, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8948, predictive_accuracy: 0.789, prior_entropy: 0.5368, recall: 0.789, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.409, root_relative_squared_error: 1.2493, scimark_benchmark: 1316.5668, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.9061, kappa: 0.5209, kb_relative_information_score: 4184.7139, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.9085, predictive_accuracy: 0.9164, prior_entropy: 0.5368, recall: 0.9164, relative_absolute_error: 0.5786, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.7731, scimark_benchmark: 1313.11, usercpu_time_millis: 97240, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 96710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8209, kappa: 0.3843, kb_relative_information_score: -4894.5016, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8948, predictive_accuracy: 0.789, prior_entropy: 0.5368, recall: 0.789, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.409, root_relative_squared_error: 1.2493, scimark_benchmark: 1324.7884, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8209, kappa: 0.3843, kb_relative_information_score: -4894.5016, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8948, predictive_accuracy: 0.789, prior_entropy: 0.5368, recall: 0.789, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.409, root_relative_squared_error: 1.2493, scimark_benchmark: 1343.3311, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7857, kappa: 0.2989, kb_relative_information_score: -8199.152, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8766, predictive_accuracy: 0.7448, prior_entropy: 0.5368, recall: 0.7448, relative_absolute_error: 1.1944, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.5117, scimark_benchmark: 1346.4374, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8209, kappa: 0.3843, kb_relative_information_score: -4894.5016, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8948, predictive_accuracy: 0.789, prior_entropy: 0.5368, recall: 0.789, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.409, root_relative_squared_error: 1.2493, scimark_benchmark: 1342.2845, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8938, kappa: 0.4691, kb_relative_information_score: 3409.2814, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8913, predictive_accuracy: 0.9024, prior_entropy: 0.5368, recall: 0.9024, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.7715, scimark_benchmark: 1313.5633, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8861, kappa: 0.4498, kb_relative_information_score: 2234.4048, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8831, predictive_accuracy: 0.8905, prior_entropy: 0.5368, recall: 0.8905, relative_absolute_error: 0.6369, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.8578, scimark_benchmark: 1333.6736, usercpu_time_millis: 1800, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8958, kappa: 0.4638, kb_relative_information_score: 3499.951, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8983, predictive_accuracy: 0.9087, prior_entropy: 0.5368, recall: 0.9087, relative_absolute_error: 0.6139, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.7549, scimark_benchmark: 1325.4787, usercpu_time_millis: 420, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.889, kappa: 0.4751, kb_relative_information_score: 439.0382, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8876, predictive_accuracy: 0.8905, prior_entropy: 0.5368, recall: 0.8905, relative_absolute_error: 0.7237, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.8137, scimark_benchmark: 1316.5668, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8763, kappa: 0.3842, kb_relative_information_score: 2448.976, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8715, predictive_accuracy: 0.8855, prior_entropy: 0.5368, recall: 0.8855, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.8127, scimark_benchmark: 1253.0071, usercpu_time_millis: 550, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7857, kappa: 0.2989, kb_relative_information_score: -8199.152, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8766, predictive_accuracy: 0.7448, prior_entropy: 0.5368, recall: 0.7448, relative_absolute_error: 1.1944, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.5117, scimark_benchmark: 1320.8283, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8209, kappa: 0.3843, kb_relative_information_score: -4894.5016, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8948, predictive_accuracy: 0.789, prior_entropy: 0.5368, recall: 0.789, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.409, root_relative_squared_error: 1.2493, scimark_benchmark: 1324.2313, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8209, kappa: 0.3843, kb_relative_information_score: -4894.5016, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8948, predictive_accuracy: 0.789, prior_entropy: 0.5368, recall: 0.789, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.409, root_relative_squared_error: 1.2493, scimark_benchmark: 1325.8927, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8938, kappa: 0.4691, kb_relative_information_score: 3409.2814, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8913, predictive_accuracy: 0.9024, prior_entropy: 0.5368, recall: 0.9024, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.7715, scimark_benchmark: 1325.6322, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8209, kappa: 0.3843, kb_relative_information_score: -4894.5016, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8948, predictive_accuracy: 0.789, prior_entropy: 0.5368, recall: 0.789, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.409, root_relative_squared_error: 1.2493, scimark_benchmark: 1347.7267, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8861, kappa: 0.4498, kb_relative_information_score: 2234.4048, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8831, predictive_accuracy: 0.8905, prior_entropy: 0.5368, recall: 0.8905, relative_absolute_error: 0.6369, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.8578, scimark_benchmark: 1329.8008, usercpu_time_millis: 1880, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.869, kappa: 0.3146, kb_relative_information_score: 406.0763, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8679, predictive_accuracy: 0.8888, prior_entropy: 0.5368, recall: 0.8888, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.8812, scimark_benchmark: 1362.1309, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.8235, kappa: 0.0162, kb_relative_information_score: 3921.755, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8501, predictive_accuracy: 0.8785, prior_entropy: 0.5368, recall: 0.8785, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3486, root_relative_squared_error: 1.0649, scimark_benchmark: 1299.3719, usercpu_time_millis: 2200, usercpu_time_millis_testing: 1050, usercpu_time_millis_training: 1150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8209, kappa: 0.3843, kb_relative_information_score: -4894.5016, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8948, predictive_accuracy: 0.789, prior_entropy: 0.5368, recall: 0.789, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.409, root_relative_squared_error: 1.2493, scimark_benchmark: 1352.3373, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.8235, kappa: 0.0162, kb_relative_information_score: 3921.755, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8501, predictive_accuracy: 0.8785, prior_entropy: 0.5368, recall: 0.8785, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3486, root_relative_squared_error: 1.0649, scimark_benchmark: 1350.007, usercpu_time_millis: 2620, usercpu_time_millis_testing: 1270, usercpu_time_millis_training: 1350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8209, kappa: 0.3843, kb_relative_information_score: -4894.5016, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8948, predictive_accuracy: 0.789, prior_entropy: 0.5368, recall: 0.789, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.409, root_relative_squared_error: 1.2493, scimark_benchmark: 1347.993, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8861, kappa: 0.4498, kb_relative_information_score: 2234.4048, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8831, predictive_accuracy: 0.8905, prior_entropy: 0.5368, recall: 0.8905, relative_absolute_error: 0.6369, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.8578, scimark_benchmark: 942.9708, usercpu_time_millis: 1720, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8958, kappa: 0.4638, kb_relative_information_score: 3499.951, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8983, predictive_accuracy: 0.9087, prior_entropy: 0.5368, recall: 0.9087, relative_absolute_error: 0.6139, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.7549, scimark_benchmark: 1281.7531, usercpu_time_millis: 580, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8989, kappa: 0.5101, kb_relative_information_score: 5179.4456, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8963, predictive_accuracy: 0.9031, prior_entropy: 0.5368, recall: 0.9031, relative_absolute_error: 0.5066, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.7922, scimark_benchmark: 1326.8946, usercpu_time_millis: 1210, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7857, kappa: 0.2989, kb_relative_information_score: -8199.152, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8766, predictive_accuracy: 0.7448, prior_entropy: 0.5368, recall: 0.7448, relative_absolute_error: 1.1944, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.5117, scimark_benchmark: 932.5646, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8209, kappa: 0.3843, kb_relative_information_score: -4894.5016, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8948, predictive_accuracy: 0.789, prior_entropy: 0.5368, recall: 0.789, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.409, root_relative_squared_error: 1.2493, scimark_benchmark: 1341.5795, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8209, kappa: 0.3843, kb_relative_information_score: -4894.5016, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8948, predictive_accuracy: 0.789, prior_entropy: 0.5368, recall: 0.789, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.409, root_relative_squared_error: 1.2493, scimark_benchmark: 938.0414, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8209, kappa: 0.3843, kb_relative_information_score: -4894.5016, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2148, number_of_instances: 14580, precision: 0.8948, predictive_accuracy: 0.789, prior_entropy: 0.5368, recall: 0.789, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.409, root_relative_squared_error: 1.2493, scimark_benchmark: 938.0414, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,

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