Task
Supervised Classification on hutsof99_logis

Supervised Classification on hutsof99_logis

Task 4374 Supervised Classification hutsof99_logis 243 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

243 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.7115, kappa: 0.423, kb_relative_information_score: 0.289, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.4996, weighted_recall: 0.7114, number_of_instances: 700, precision: 0.7121, predictive_accuracy: 0.7114, prior_entropy: 0.9994, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9041, scimark_benchmark: 931.1106, unweighted_recall: 0.7118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.7111, kappa: 0.4217, kb_relative_information_score: 0.3381, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.4996, weighted_recall: 0.7114, number_of_instances: 700, precision: 0.7114, predictive_accuracy: 0.7114, prior_entropy: 0.9994, relative_absolute_error: 0.6789, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9144, scimark_benchmark: 979.7764, unweighted_recall: 0.7106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.6797, kappa: 0.3613, kb_relative_information_score: 196.7399, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6826, predictive_accuracy: 0.68, prior_entropy: 0.9994, recall: 0.68, relative_absolute_error: 0.739, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9831, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.6867, kappa: 0.3758, kb_relative_information_score: 261.4897, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6905, predictive_accuracy: 0.6871, prior_entropy: 0.9994, recall: 0.6871, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5593, root_relative_squared_error: 1.1191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.6401, kappa: 0.2801, kb_relative_information_score: 143.1419, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6405, predictive_accuracy: 0.64, prior_entropy: 0.9994, recall: 0.64, relative_absolute_error: 0.8098, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.496, root_relative_squared_error: 0.9924, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6651, f_measure: 0.6168, kappa: 0.2358, kb_relative_information_score: 149.7673, mean_absolute_error: 0.3955, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6193, predictive_accuracy: 0.6171, prior_entropy: 0.9994, recall: 0.6171, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5419, root_relative_squared_error: 1.0843, scimark_benchmark: 934.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.6867, kappa: 0.3758, kb_relative_information_score: 261.4897, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6905, predictive_accuracy: 0.6871, prior_entropy: 0.9994, recall: 0.6871, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5593, root_relative_squared_error: 1.1191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.7141, kappa: 0.4275, kb_relative_information_score: 299.5321, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7143, predictive_accuracy: 0.7143, prior_entropy: 0.9994, recall: 0.7143, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.0695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.6301, kappa: 0.2603, kb_relative_information_score: 181.4006, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6307, predictive_accuracy: 0.63, prior_entropy: 0.9994, recall: 0.63, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.217, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.6301, kappa: 0.2603, kb_relative_information_score: 181.4006, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6307, predictive_accuracy: 0.63, prior_entropy: 0.9994, recall: 0.63, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.217, scimark_benchmark: 916.0735, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.74, kappa: 0.4797, kb_relative_information_score: 288.8602, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7401, predictive_accuracy: 0.74, prior_entropy: 0.9994, recall: 0.74, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9269, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7342, kappa: 0.4678, kb_relative_information_score: 274.1718, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7342, predictive_accuracy: 0.7343, prior_entropy: 0.9994, recall: 0.7343, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9128, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.7055, kappa: 0.4124, kb_relative_information_score: 180.6185, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.708, predictive_accuracy: 0.7057, prior_entropy: 0.9994, recall: 0.7057, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9086, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.7141, kappa: 0.4275, kb_relative_information_score: 299.5321, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7143, predictive_accuracy: 0.7143, prior_entropy: 0.9994, recall: 0.7143, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.0695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.7141, kappa: 0.4275, kb_relative_information_score: 299.5321, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7143, predictive_accuracy: 0.7143, prior_entropy: 0.9994, recall: 0.7143, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.0695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7311, kappa: 0.4616, kb_relative_information_score: 246.2737, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7316, predictive_accuracy: 0.7314, prior_entropy: 0.9994, recall: 0.7314, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8718, scimark_benchmark: 904.6764, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.7141, kappa: 0.4275, kb_relative_information_score: 299.5321, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7143, predictive_accuracy: 0.7143, prior_entropy: 0.9994, recall: 0.7143, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.0695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.7141, kappa: 0.4275, kb_relative_information_score: 299.5321, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7143, predictive_accuracy: 0.7143, prior_entropy: 0.9994, recall: 0.7143, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.0695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.681, kappa: 0.3615, kb_relative_information_score: 223.6169, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6814, predictive_accuracy: 0.6814, prior_entropy: 0.9994, recall: 0.6814, relative_absolute_error: 0.6918, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9801, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.7141, kappa: 0.4275, kb_relative_information_score: 299.5321, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7143, predictive_accuracy: 0.7143, prior_entropy: 0.9994, recall: 0.7143, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.0695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.6301, kappa: 0.2603, kb_relative_information_score: 181.4006, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6307, predictive_accuracy: 0.63, prior_entropy: 0.9994, recall: 0.63, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.217, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.6301, kappa: 0.2603, kb_relative_information_score: 181.4006, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6307, predictive_accuracy: 0.63, prior_entropy: 0.9994, recall: 0.63, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.217, scimark_benchmark: 936.3373, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7342, kappa: 0.4678, kb_relative_information_score: 274.1718, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7342, predictive_accuracy: 0.7343, prior_entropy: 0.9994, recall: 0.7343, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9128, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7342, kappa: 0.4678, kb_relative_information_score: 274.1718, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7342, predictive_accuracy: 0.7343, prior_entropy: 0.9994, recall: 0.7343, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9128, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.7115, kappa: 0.423, kb_relative_information_score: 202.2767, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7121, predictive_accuracy: 0.7114, prior_entropy: 0.9994, recall: 0.7114, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9041, scimark_benchmark: 943.1009, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.6797, kappa: 0.3613, kb_relative_information_score: 196.7399, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6826, predictive_accuracy: 0.68, prior_entropy: 0.9994, recall: 0.68, relative_absolute_error: 0.739, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9831, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.7141, kappa: 0.4275, kb_relative_information_score: 299.5321, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7143, predictive_accuracy: 0.7143, prior_entropy: 0.9994, recall: 0.7143, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.0695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.6401, kappa: 0.2801, kb_relative_information_score: 143.1419, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6405, predictive_accuracy: 0.64, prior_entropy: 0.9994, recall: 0.64, relative_absolute_error: 0.8098, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.496, root_relative_squared_error: 0.9924, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6651, f_measure: 0.6168, kappa: 0.2358, kb_relative_information_score: 149.7673, mean_absolute_error: 0.3955, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6193, predictive_accuracy: 0.6171, prior_entropy: 0.9994, recall: 0.6171, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5419, root_relative_squared_error: 1.0843, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.6301, kappa: 0.2603, kb_relative_information_score: 181.4006, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6307, predictive_accuracy: 0.63, prior_entropy: 0.9994, recall: 0.63, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.217, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.6301, kappa: 0.2603, kb_relative_information_score: 181.4006, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6307, predictive_accuracy: 0.63, prior_entropy: 0.9994, recall: 0.63, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.217, scimark_benchmark: 934.5964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.74, kappa: 0.4797, kb_relative_information_score: 288.8602, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7401, predictive_accuracy: 0.74, prior_entropy: 0.9994, recall: 0.74, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9269, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7342, kappa: 0.4678, kb_relative_information_score: 274.1718, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7342, predictive_accuracy: 0.7343, prior_entropy: 0.9994, recall: 0.7343, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9128, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7342, kappa: 0.4678, kb_relative_information_score: 274.1718, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7342, predictive_accuracy: 0.7343, prior_entropy: 0.9994, recall: 0.7343, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9128, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.7055, kappa: 0.4124, kb_relative_information_score: 180.6185, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.708, predictive_accuracy: 0.7057, prior_entropy: 0.9994, recall: 0.7057, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9086, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7311, kappa: 0.4616, kb_relative_information_score: 246.2737, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7316, predictive_accuracy: 0.7314, prior_entropy: 0.9994, recall: 0.7314, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8718, scimark_benchmark: 905.2959, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7342, kappa: 0.4678, kb_relative_information_score: 274.1718, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7342, predictive_accuracy: 0.7343, prior_entropy: 0.9994, recall: 0.7343, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9128, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.681, kappa: 0.3615, kb_relative_information_score: 223.6169, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6814, predictive_accuracy: 0.6814, prior_entropy: 0.9994, recall: 0.6814, relative_absolute_error: 0.6918, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9801, scimark_benchmark: 936.9595, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.7115, kappa: 0.423, kb_relative_information_score: 202.2767, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7121, predictive_accuracy: 0.7114, prior_entropy: 0.9994, recall: 0.7114, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9041, scimark_benchmark: 938.988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.7253, kappa: 0.4501, kb_relative_information_score: 198.4917, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.726, predictive_accuracy: 0.7257, prior_entropy: 0.9994, recall: 0.7257, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8921, scimark_benchmark: 943.6618, usercpu_time_millis: 370, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.7154, kappa: 0.4303, kb_relative_information_score: 195.8712, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7158, predictive_accuracy: 0.7157, prior_entropy: 0.9994, recall: 0.7157, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.8987, scimark_benchmark: 906.5979, usercpu_time_millis: 170, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.7109, kappa: 0.4213, kb_relative_information_score: 196.7716, mean_absolute_error: 0.3727, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7117, predictive_accuracy: 0.7114, prior_entropy: 0.9994, recall: 0.7114, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.8967, scimark_benchmark: 929.7512, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.707, kappa: 0.4134, kb_relative_information_score: 196.5023, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7071, predictive_accuracy: 0.7071, prior_entropy: 0.9994, recall: 0.7071, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.8997, scimark_benchmark: 917.2109, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.6939, kappa: 0.3873, kb_relative_information_score: 191.509, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6943, predictive_accuracy: 0.6943, prior_entropy: 0.9994, recall: 0.6943, relative_absolute_error: 0.7505, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9167, scimark_benchmark: 897.0978, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.7068, kappa: 0.4156, kb_relative_information_score: 237.2692, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7104, predictive_accuracy: 0.7071, prior_entropy: 0.9994, recall: 0.7071, relative_absolute_error: 0.6774, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4812, root_relative_squared_error: 0.9627, scimark_benchmark: 889.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.7068, kappa: 0.4156, kb_relative_information_score: 237.2692, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7104, predictive_accuracy: 0.7071, prior_entropy: 0.9994, recall: 0.7071, relative_absolute_error: 0.6774, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4812, root_relative_squared_error: 0.9627, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.7068, kappa: 0.4156, kb_relative_information_score: 237.2692, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7104, predictive_accuracy: 0.7071, prior_entropy: 0.9994, recall: 0.7071, relative_absolute_error: 0.6774, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4812, root_relative_squared_error: 0.9627, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.7068, kappa: 0.4156, kb_relative_information_score: 237.2692, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7104, predictive_accuracy: 0.7071, prior_entropy: 0.9994, recall: 0.7071, relative_absolute_error: 0.6774, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4812, root_relative_squared_error: 0.9627, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.7068, kappa: 0.4156, kb_relative_information_score: 237.2692, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7104, predictive_accuracy: 0.7071, prior_entropy: 0.9994, recall: 0.7071, relative_absolute_error: 0.6774, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4812, root_relative_squared_error: 0.9627, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4314, f_measure: 0.3493, kb_relative_information_score: -2.1204, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.2645, predictive_accuracy: 0.5143, prior_entropy: 0.9994, recall: 0.5143, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0022, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.6757, kappa: 0.352, kb_relative_information_score: 239.9813, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6769, predictive_accuracy: 0.6757, prior_entropy: 0.9994, recall: 0.6757, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5529, root_relative_squared_error: 1.1063, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.7029, kappa: 0.4062, kb_relative_information_score: 279.1282, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.704, predictive_accuracy: 0.7029, prior_entropy: 0.9994, recall: 0.7029, relative_absolute_error: 0.6035, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5275, root_relative_squared_error: 1.0555, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.7071, kappa: 0.4148, kb_relative_information_score: 282.5492, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7084, predictive_accuracy: 0.7071, prior_entropy: 0.9994, recall: 0.7071, relative_absolute_error: 0.5974, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.0372, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.7083, kappa: 0.4182, kb_relative_information_score: 286.8042, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7111, predictive_accuracy: 0.7086, prior_entropy: 0.9994, recall: 0.7086, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5097, root_relative_squared_error: 1.0199, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.6994, kappa: 0.4016, kb_relative_information_score: 271.8218, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7039, predictive_accuracy: 0.7, prior_entropy: 0.9994, recall: 0.7, relative_absolute_error: 0.615, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.0134, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3493, kb_relative_information_score: 19.2201, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.2645, predictive_accuracy: 0.5143, prior_entropy: 0.9994, recall: 0.5143, relative_absolute_error: 0.9722, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6969, root_relative_squared_error: 1.3944, scimark_benchmark: 922.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6298, f_measure: 0.6357, kappa: 0.2722, kb_relative_information_score: 148.3204, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.637, predictive_accuracy: 0.6357, prior_entropy: 0.9994, recall: 0.6357, relative_absolute_error: 0.8013, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5277, root_relative_squared_error: 1.0559, scimark_benchmark: 922.8232, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7343, kappa: 0.4682, kb_relative_information_score: 161.1612, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7343, predictive_accuracy: 0.7343, prior_entropy: 0.9994, recall: 0.7343, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8758, scimark_benchmark: 931.7994, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.7029, kappa: 0.4061, kb_relative_information_score: 175.7352, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7038, predictive_accuracy: 0.7029, prior_entropy: 0.9994, recall: 0.7029, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8773, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.6797, kappa: 0.3613, kb_relative_information_score: 196.7399, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6826, predictive_accuracy: 0.68, prior_entropy: 0.9994, recall: 0.68, relative_absolute_error: 0.739, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9831, scimark_benchmark: 934.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6883, f_measure: 0.6415, kappa: 0.283, kb_relative_information_score: 143.9708, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.642, predictive_accuracy: 0.6414, prior_entropy: 0.9994, recall: 0.6414, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9918, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6651, f_measure: 0.6168, kappa: 0.2358, kb_relative_information_score: 149.7673, mean_absolute_error: 0.3955, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6193, predictive_accuracy: 0.6171, prior_entropy: 0.9994, recall: 0.6171, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5419, root_relative_squared_error: 1.0843, scimark_benchmark: 938.9926, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.6301, kappa: 0.2603, kb_relative_information_score: 181.4006, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6307, predictive_accuracy: 0.63, prior_entropy: 0.9994, recall: 0.63, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.217, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.6301, kappa: 0.2603, kb_relative_information_score: 181.4006, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6307, predictive_accuracy: 0.63, prior_entropy: 0.9994, recall: 0.63, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.217, scimark_benchmark: 946.8777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.74, kappa: 0.4797, kb_relative_information_score: 288.8602, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7401, predictive_accuracy: 0.74, prior_entropy: 0.9994, recall: 0.74, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9269, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7342, kappa: 0.4678, kb_relative_information_score: 274.1718, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7342, predictive_accuracy: 0.7343, prior_entropy: 0.9994, recall: 0.7343, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9128, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7342, kappa: 0.4678, kb_relative_information_score: 274.1718, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7342, predictive_accuracy: 0.7343, prior_entropy: 0.9994, recall: 0.7343, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9128, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.7055, kappa: 0.4124, kb_relative_information_score: 180.6185, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.708, predictive_accuracy: 0.7057, prior_entropy: 0.9994, recall: 0.7057, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9086, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7311, kappa: 0.4616, kb_relative_information_score: 246.2737, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7316, predictive_accuracy: 0.7314, prior_entropy: 0.9994, recall: 0.7314, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8718, scimark_benchmark: 935.627, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7342, kappa: 0.4678, kb_relative_information_score: 274.1718, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7342, predictive_accuracy: 0.7343, prior_entropy: 0.9994, recall: 0.7343, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9128, scimark_benchmark: 879.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.681, kappa: 0.3615, kb_relative_information_score: 223.6169, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6814, predictive_accuracy: 0.6814, prior_entropy: 0.9994, recall: 0.6814, relative_absolute_error: 0.6918, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9801, scimark_benchmark: 942.3809, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.7115, kappa: 0.423, kb_relative_information_score: 202.2767, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7121, predictive_accuracy: 0.7114, prior_entropy: 0.9994, recall: 0.7114, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9041, scimark_benchmark: 879.4299, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.6797, kappa: 0.3613, kb_relative_information_score: 196.7399, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6826, predictive_accuracy: 0.68, prior_entropy: 0.9994, recall: 0.68, relative_absolute_error: 0.739, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9831, scimark_benchmark: 915.9028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6883, f_measure: 0.6415, kappa: 0.283, kb_relative_information_score: 143.9708, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.642, predictive_accuracy: 0.6414, prior_entropy: 0.9994, recall: 0.6414, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9918, scimark_benchmark: 904.4366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.6301, kappa: 0.2603, kb_relative_information_score: 181.4006, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6307, predictive_accuracy: 0.63, prior_entropy: 0.9994, recall: 0.63, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.217, scimark_benchmark: 1327.5842, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.74, kappa: 0.4797, kb_relative_information_score: 288.8602, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7401, predictive_accuracy: 0.74, prior_entropy: 0.9994, recall: 0.74, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9269, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7342, kappa: 0.4678, kb_relative_information_score: 274.1718, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7342, predictive_accuracy: 0.7343, prior_entropy: 0.9994, recall: 0.7343, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9128, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.6301, kappa: 0.2603, kb_relative_information_score: 181.4006, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6307, predictive_accuracy: 0.63, prior_entropy: 0.9994, recall: 0.63, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.217, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7342, kappa: 0.4678, kb_relative_information_score: 274.1718, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7342, predictive_accuracy: 0.7343, prior_entropy: 0.9994, recall: 0.7343, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9128, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7342, kappa: 0.4678, kb_relative_information_score: 274.1718, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7342, predictive_accuracy: 0.7343, prior_entropy: 0.9994, recall: 0.7343, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9128, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.7115, kappa: 0.423, kb_relative_information_score: 202.2767, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7121, predictive_accuracy: 0.7114, prior_entropy: 0.9994, recall: 0.7114, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9041, scimark_benchmark: 1322.5413, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7342, kappa: 0.4678, kb_relative_information_score: 274.1718, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7342, predictive_accuracy: 0.7343, prior_entropy: 0.9994, recall: 0.7343, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9128, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7342, kappa: 0.4678, kb_relative_information_score: 274.1718, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7342, predictive_accuracy: 0.7343, prior_entropy: 0.9994, recall: 0.7343, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9128, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.6401, kappa: 0.2801, kb_relative_information_score: 143.1419, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6405, predictive_accuracy: 0.64, prior_entropy: 0.9994, recall: 0.64, relative_absolute_error: 0.8098, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.496, root_relative_squared_error: 0.9924, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.74, kappa: 0.4797, kb_relative_information_score: 288.8602, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7401, predictive_accuracy: 0.74, prior_entropy: 0.9994, recall: 0.74, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9269, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7342, kappa: 0.4678, kb_relative_information_score: 274.1718, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7342, predictive_accuracy: 0.7343, prior_entropy: 0.9994, recall: 0.7343, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9128, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7342, kappa: 0.4678, kb_relative_information_score: 274.1718, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7342, predictive_accuracy: 0.7343, prior_entropy: 0.9994, recall: 0.7343, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9128, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7342, kappa: 0.4678, kb_relative_information_score: 274.1718, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7342, predictive_accuracy: 0.7343, prior_entropy: 0.9994, recall: 0.7343, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9128, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.7055, kappa: 0.4124, kb_relative_information_score: 180.6185, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.708, predictive_accuracy: 0.7057, prior_entropy: 0.9994, recall: 0.7057, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9086, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.74, kappa: 0.4797, kb_relative_information_score: 288.8602, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7401, predictive_accuracy: 0.74, prior_entropy: 0.9994, recall: 0.74, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9269, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7342, kappa: 0.4678, kb_relative_information_score: 274.1718, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7342, predictive_accuracy: 0.7343, prior_entropy: 0.9994, recall: 0.7343, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9128, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7342, kappa: 0.4678, kb_relative_information_score: 274.1718, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7342, predictive_accuracy: 0.7343, prior_entropy: 0.9994, recall: 0.7343, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9128, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.7115, kappa: 0.423, kb_relative_information_score: 202.2767, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7121, predictive_accuracy: 0.7114, prior_entropy: 0.9994, recall: 0.7114, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9041, scimark_benchmark: 1342.6744, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.6301, kappa: 0.2603, kb_relative_information_score: 181.4006, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.6307, predictive_accuracy: 0.63, prior_entropy: 0.9994, recall: 0.63, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.217, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.74, kappa: 0.4797, kb_relative_information_score: 288.8602, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7401, predictive_accuracy: 0.74, prior_entropy: 0.9994, recall: 0.74, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9269, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7342, kappa: 0.4678, kb_relative_information_score: 274.1718, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7342, predictive_accuracy: 0.7343, prior_entropy: 0.9994, recall: 0.7343, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9128, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7342, kappa: 0.4678, kb_relative_information_score: 274.1718, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7342, predictive_accuracy: 0.7343, prior_entropy: 0.9994, recall: 0.7343, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9128, scimark_benchmark: 1366.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7342, kappa: 0.4678, kb_relative_information_score: 274.1718, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7342, predictive_accuracy: 0.7343, prior_entropy: 0.9994, recall: 0.7343, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9128, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.74, kappa: 0.4797, kb_relative_information_score: 288.8602, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7401, predictive_accuracy: 0.74, prior_entropy: 0.9994, recall: 0.74, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9269, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7342, kappa: 0.4678, kb_relative_information_score: 274.1718, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4996, number_of_instances: 700, precision: 0.7342, predictive_accuracy: 0.7343, prior_entropy: 0.9994, recall: 0.7343, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9128, scimark_benchmark: 1319.4538,

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