Task
Supervised Classification on fri_c3_250_25

Supervised Classification on fri_c3_250_25

Task 4402 Supervised Classification fri_c3_250_25 209 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

209 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.8026, kappa: 0.5999, kb_relative_information_score: 1289.0737, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8025, predictive_accuracy: 0.8028, prior_entropy: 0.9911, recall: 0.8028, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7885, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8152, kappa: 0.6251, kb_relative_information_score: 1224.9649, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8153, predictive_accuracy: 0.8156, prior_entropy: 0.9911, recall: 0.8156, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7292, scimark_benchmark: 972.587, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.83, kappa: 0.6555, kb_relative_information_score: 1451.1339, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8299, predictive_accuracy: 0.83, prior_entropy: 0.9911, recall: 0.83, relative_absolute_error: 0.4391, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7071, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.6387, kappa: 0.2664, kb_relative_information_score: 689.5534, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.6415, predictive_accuracy: 0.6444, prior_entropy: 0.9911, recall: 0.6444, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5963, root_relative_squared_error: 1.2002, scimark_benchmark: 904.6764, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8346, kappa: 0.6648, kb_relative_information_score: 1225.7132, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8346, predictive_accuracy: 0.8348, prior_entropy: 0.9911, recall: 0.8348, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.703, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.6341, kappa: 0.2578, kb_relative_information_score: 446.1215, mean_absolute_error: 0.4115, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.6337, predictive_accuracy: 0.6348, prior_entropy: 0.9911, recall: 0.6348, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9897, scimark_benchmark: 916.0735, usercpu_time_millis: 700, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.8103, kappa: 0.615, kb_relative_information_score: 1355.2627, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8104, predictive_accuracy: 0.8108, prior_entropy: 0.9911, recall: 0.8108, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7874, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.6387, kappa: 0.2664, kb_relative_information_score: 689.5534, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.6415, predictive_accuracy: 0.6444, prior_entropy: 0.9911, recall: 0.6444, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5963, root_relative_squared_error: 1.2002, scimark_benchmark: 944.1783, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.6387, kappa: 0.2664, kb_relative_information_score: 689.5534, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.6415, predictive_accuracy: 0.6444, prior_entropy: 0.9911, recall: 0.6444, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5963, root_relative_squared_error: 1.2002, scimark_benchmark: 932.438, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8115, kappa: 0.6181, kb_relative_information_score: 1370.7356, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8115, predictive_accuracy: 0.8116, prior_entropy: 0.9911, recall: 0.8116, relative_absolute_error: 0.4682, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7193, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8304, kappa: 0.656, kb_relative_information_score: 935.2882, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8305, predictive_accuracy: 0.8308, prior_entropy: 0.9911, recall: 0.8308, relative_absolute_error: 0.673, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7418, scimark_benchmark: 943.1009, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.8026, kappa: 0.5999, kb_relative_information_score: 1289.0737, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8025, predictive_accuracy: 0.8028, prior_entropy: 0.9911, recall: 0.8028, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7885, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8152, kappa: 0.6251, kb_relative_information_score: 1224.9649, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8153, predictive_accuracy: 0.8156, prior_entropy: 0.9911, recall: 0.8156, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7292, scimark_benchmark: 908.9569, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.83, kappa: 0.6555, kb_relative_information_score: 1451.1339, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8299, predictive_accuracy: 0.83, prior_entropy: 0.9911, recall: 0.83, relative_absolute_error: 0.4391, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7071, scimark_benchmark: 936.2574, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.6387, kappa: 0.2664, kb_relative_information_score: 689.5534, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.6415, predictive_accuracy: 0.6444, prior_entropy: 0.9911, recall: 0.6444, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5963, root_relative_squared_error: 1.2002, scimark_benchmark: 927.2882, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8346, kappa: 0.6648, kb_relative_information_score: 1225.7132, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8346, predictive_accuracy: 0.8348, prior_entropy: 0.9911, recall: 0.8348, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.703, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.6341, kappa: 0.2578, kb_relative_information_score: 446.1215, mean_absolute_error: 0.4115, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.6337, predictive_accuracy: 0.6348, prior_entropy: 0.9911, recall: 0.6348, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9897, scimark_benchmark: 919.2625, usercpu_time_millis: 660, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.8103, kappa: 0.615, kb_relative_information_score: 1355.2627, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8104, predictive_accuracy: 0.8108, prior_entropy: 0.9911, recall: 0.8108, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7874, scimark_benchmark: 932.438, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8304, kappa: 0.656, kb_relative_information_score: 935.2882, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8305, predictive_accuracy: 0.8308, prior_entropy: 0.9911, recall: 0.8308, relative_absolute_error: 0.673, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7418, scimark_benchmark: 945.6228, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.8237, kappa: 0.6418, kb_relative_information_score: 765.907, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8254, predictive_accuracy: 0.8248, prior_entropy: 0.9911, recall: 0.8248, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7943, scimark_benchmark: 936.2574, usercpu_time_millis: 3470, usercpu_time_millis_testing: 1420, usercpu_time_millis_training: 2050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.8214, kappa: 0.6371, kb_relative_information_score: 777.008, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8228, predictive_accuracy: 0.8224, prior_entropy: 0.9911, recall: 0.8224, relative_absolute_error: 0.7352, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.7911, scimark_benchmark: 859.5223, usercpu_time_millis: 1780, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.8095, kappa: 0.6129, kb_relative_information_score: 780.2128, mean_absolute_error: 0.3614, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8114, predictive_accuracy: 0.8108, prior_entropy: 0.9911, recall: 0.8108, relative_absolute_error: 0.7318, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7935, scimark_benchmark: 935.3212, usercpu_time_millis: 650, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.7773, kappa: 0.5477, kb_relative_information_score: 750.2177, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.7787, predictive_accuracy: 0.7788, prior_entropy: 0.9911, recall: 0.7788, relative_absolute_error: 0.739, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8106, scimark_benchmark: 944.235, usercpu_time_millis: 340, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7545, kappa: 0.5016, kb_relative_information_score: 722.4107, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.7549, predictive_accuracy: 0.7556, prior_entropy: 0.9911, recall: 0.7556, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8313, scimark_benchmark: 918.0831, usercpu_time_millis: 170, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8272, kappa: 0.6493, kb_relative_information_score: 1569.6031, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8273, predictive_accuracy: 0.8276, prior_entropy: 0.9911, recall: 0.8276, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.7422, scimark_benchmark: 929.0296, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8208, kappa: 0.6363, kb_relative_information_score: 1543.5251, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8209, predictive_accuracy: 0.8212, prior_entropy: 0.9911, recall: 0.8212, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7485, scimark_benchmark: 941.9549, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8167, kappa: 0.628, kb_relative_information_score: 1491.3115, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8169, predictive_accuracy: 0.8172, prior_entropy: 0.9911, recall: 0.8172, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7452, scimark_benchmark: 929.0296, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8238, kappa: 0.6426, kb_relative_information_score: 1431.8521, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8237, predictive_accuracy: 0.824, prior_entropy: 0.9911, recall: 0.824, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7265, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8284, kappa: 0.6519, kb_relative_information_score: 1353.5293, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8285, predictive_accuracy: 0.8288, prior_entropy: 0.9911, recall: 0.8288, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7113, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.3973, kb_relative_information_score: -0.3305, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.3091, predictive_accuracy: 0.556, prior_entropy: 0.9911, recall: 0.556, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8395, kappa: 0.6746, kb_relative_information_score: 1663.1449, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8394, predictive_accuracy: 0.8396, prior_entropy: 0.9911, recall: 0.8396, relative_absolute_error: 0.3345, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.748, scimark_benchmark: 941.9549, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8234, kappa: 0.6421, kb_relative_information_score: 1571.943, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8234, predictive_accuracy: 0.8236, prior_entropy: 0.9911, recall: 0.8236, relative_absolute_error: 0.3712, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7788, scimark_benchmark: 936.1714, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8131, kappa: 0.6212, kb_relative_information_score: 1516.2157, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.813, predictive_accuracy: 0.8132, prior_entropy: 0.9911, recall: 0.8132, relative_absolute_error: 0.3951, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.7908, scimark_benchmark: 935.6052, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.8006, kappa: 0.5953, kb_relative_information_score: 1395.5681, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8008, predictive_accuracy: 0.8012, prior_entropy: 0.9911, recall: 0.8012, relative_absolute_error: 0.4481, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8289, scimark_benchmark: 938.3115, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7574, kappa: 0.5071, kb_relative_information_score: 1203.45, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.7597, predictive_accuracy: 0.7596, prior_entropy: 0.9911, recall: 0.7596, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8937, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3973, kb_relative_information_score: 239.5771, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.3091, predictive_accuracy: 0.556, prior_entropy: 0.9911, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.8091, kappa: 0.6125, kb_relative_information_score: 1480.7459, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8092, predictive_accuracy: 0.8096, prior_entropy: 0.9911, recall: 0.8096, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8516, scimark_benchmark: 922.8232, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8183, kappa: 0.6313, kb_relative_information_score: 641.1755, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8185, predictive_accuracy: 0.8188, prior_entropy: 0.9911, recall: 0.8188, relative_absolute_error: 0.7899, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8228, scimark_benchmark: 942.6192, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.6554, kappa: 0.3011, kb_relative_information_score: 308.6152, mean_absolute_error: 0.4432, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.661, predictive_accuracy: 0.6624, prior_entropy: 0.9911, recall: 0.6624, relative_absolute_error: 0.8976, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.465, root_relative_squared_error: 0.9358, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.8026, kappa: 0.5999, kb_relative_information_score: 1289.0737, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8025, predictive_accuracy: 0.8028, prior_entropy: 0.9911, recall: 0.8028, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7885, scimark_benchmark: 934.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8152, kappa: 0.6251, kb_relative_information_score: 1224.9649, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8153, predictive_accuracy: 0.8156, prior_entropy: 0.9911, recall: 0.8156, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7292, scimark_benchmark: 923.509, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.83, kappa: 0.6555, kb_relative_information_score: 1451.1339, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8299, predictive_accuracy: 0.83, prior_entropy: 0.9911, recall: 0.83, relative_absolute_error: 0.4391, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7071, scimark_benchmark: 845.538, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.6387, kappa: 0.2664, kb_relative_information_score: 689.5534, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.6415, predictive_accuracy: 0.6444, prior_entropy: 0.9911, recall: 0.6444, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5963, root_relative_squared_error: 1.2002, scimark_benchmark: 949.7766, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.6387, kappa: 0.2664, kb_relative_information_score: 689.5534, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.6415, predictive_accuracy: 0.6444, prior_entropy: 0.9911, recall: 0.6444, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5963, root_relative_squared_error: 1.2002, scimark_benchmark: 944.5341, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8346, kappa: 0.6648, kb_relative_information_score: 1225.7132, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8346, predictive_accuracy: 0.8348, prior_entropy: 0.9911, recall: 0.8348, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.703, scimark_benchmark: 938.838, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.6341, kappa: 0.2578, kb_relative_information_score: 446.1215, mean_absolute_error: 0.4115, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.6337, predictive_accuracy: 0.6348, prior_entropy: 0.9911, recall: 0.6348, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9897, scimark_benchmark: 945.988, usercpu_time_millis: 690, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 952.4682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.8103, kappa: 0.615, kb_relative_information_score: 1355.2627, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8104, predictive_accuracy: 0.8108, prior_entropy: 0.9911, recall: 0.8108, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7874, scimark_benchmark: 910.6607, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8304, kappa: 0.656, kb_relative_information_score: 935.2882, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8305, predictive_accuracy: 0.8308, prior_entropy: 0.9911, recall: 0.8308, relative_absolute_error: 0.673, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7418, scimark_benchmark: 935.627, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.8026, kappa: 0.5999, kb_relative_information_score: 1289.0737, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8025, predictive_accuracy: 0.8028, prior_entropy: 0.9911, recall: 0.8028, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7885, scimark_benchmark: 936.4883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6291, kappa: 0.2464, kb_relative_information_score: 307.7199, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.6294, predictive_accuracy: 0.6324, prior_entropy: 0.9911, recall: 0.6324, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.479, root_relative_squared_error: 0.964, scimark_benchmark: 944.5341, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8152, kappa: 0.6251, kb_relative_information_score: 1224.9649, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8153, predictive_accuracy: 0.8156, prior_entropy: 0.9911, recall: 0.8156, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7292, scimark_benchmark: 913.0573, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.6387, kappa: 0.2664, kb_relative_information_score: 689.5534, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.6415, predictive_accuracy: 0.6444, prior_entropy: 0.9911, recall: 0.6444, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5963, root_relative_squared_error: 1.2002, scimark_benchmark: 1337.9632, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.6387, kappa: 0.2664, kb_relative_information_score: 689.5534, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.6415, predictive_accuracy: 0.6444, prior_entropy: 0.9911, recall: 0.6444, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5963, root_relative_squared_error: 1.2002, scimark_benchmark: 1337.4384, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 1322.5413, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.6387, kappa: 0.2664, kb_relative_information_score: 689.5534, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.6415, predictive_accuracy: 0.6444, prior_entropy: 0.9911, recall: 0.6444, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5963, root_relative_squared_error: 1.2002, scimark_benchmark: 1303.6861, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8115, kappa: 0.6181, kb_relative_information_score: 1370.7356, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8115, predictive_accuracy: 0.8116, prior_entropy: 0.9911, recall: 0.8116, relative_absolute_error: 0.4682, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7193, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8115, kappa: 0.6181, kb_relative_information_score: 1370.7356, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8115, predictive_accuracy: 0.8116, prior_entropy: 0.9911, recall: 0.8116, relative_absolute_error: 0.4682, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7193, scimark_benchmark: 929.0363, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.6387, kappa: 0.2664, kb_relative_information_score: 689.5534, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.6415, predictive_accuracy: 0.6444, prior_entropy: 0.9911, recall: 0.6444, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5963, root_relative_squared_error: 1.2002, scimark_benchmark: 1393.8432, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8115, kappa: 0.6181, kb_relative_information_score: 1370.7356, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8115, predictive_accuracy: 0.8116, prior_entropy: 0.9911, recall: 0.8116, relative_absolute_error: 0.4682, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7193, scimark_benchmark: 1337.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.8026, kappa: 0.5999, kb_relative_information_score: 1289.0737, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8025, predictive_accuracy: 0.8028, prior_entropy: 0.9911, recall: 0.8028, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7885, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8115, kappa: 0.6181, kb_relative_information_score: 1370.7356, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8115, predictive_accuracy: 0.8116, prior_entropy: 0.9911, recall: 0.8116, relative_absolute_error: 0.4682, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7193, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 1350.2591, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8115, kappa: 0.6181, kb_relative_information_score: 1370.7356, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8115, predictive_accuracy: 0.8116, prior_entropy: 0.9911, recall: 0.8116, relative_absolute_error: 0.4682, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7193, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 1347.1763, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.6341, kappa: 0.2578, kb_relative_information_score: 446.1215, mean_absolute_error: 0.4115, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.6337, predictive_accuracy: 0.6348, prior_entropy: 0.9911, recall: 0.6348, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9897, scimark_benchmark: 1336.5541, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 1331.4379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.8103, kappa: 0.615, kb_relative_information_score: 1355.2627, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8104, predictive_accuracy: 0.8108, prior_entropy: 0.9911, recall: 0.8108, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7874, scimark_benchmark: 1332.1612, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8115, kappa: 0.6181, kb_relative_information_score: 1370.7356, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8115, predictive_accuracy: 0.8116, prior_entropy: 0.9911, recall: 0.8116, relative_absolute_error: 0.4682, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7193, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 1346.4374, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.8103, kappa: 0.615, kb_relative_information_score: 1355.2627, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8104, predictive_accuracy: 0.8108, prior_entropy: 0.9911, recall: 0.8108, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7874, scimark_benchmark: 1315.9287, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8304, kappa: 0.656, kb_relative_information_score: 935.2882, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8305, predictive_accuracy: 0.8308, prior_entropy: 0.9911, recall: 0.8308, relative_absolute_error: 0.673, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7418, scimark_benchmark: 1317.5348, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.6407, kappa: 0.2706, kb_relative_information_score: 438.4942, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.6403, predictive_accuracy: 0.642, prior_entropy: 0.9911, recall: 0.642, relative_absolute_error: 0.8366, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9783, scimark_benchmark: 1320.2063, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8152, kappa: 0.6251, kb_relative_information_score: 1224.9649, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8153, predictive_accuracy: 0.8156, prior_entropy: 0.9911, recall: 0.8156, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7292, scimark_benchmark: 1350.1007, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.83, kappa: 0.6555, kb_relative_information_score: 1451.1339, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8299, predictive_accuracy: 0.83, prior_entropy: 0.9911, recall: 0.83, relative_absolute_error: 0.4391, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7071, scimark_benchmark: 1322.5413, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.8027, kappa: 0.6003, kb_relative_information_score: 1370.042, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8027, predictive_accuracy: 0.8028, prior_entropy: 0.9911, recall: 0.8028, relative_absolute_error: 0.4615, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8108, scimark_benchmark: 1337.1928, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8162, kappa: 0.6273, kb_relative_information_score: 1391.7807, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8161, predictive_accuracy: 0.8164, prior_entropy: 0.9911, recall: 0.8164, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7124, scimark_benchmark: 1325.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8346, kappa: 0.6648, kb_relative_information_score: 1225.7132, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8346, predictive_accuracy: 0.8348, prior_entropy: 0.9911, recall: 0.8348, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.703, scimark_benchmark: 1336.4564, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8304, kappa: 0.656, kb_relative_information_score: 935.2882, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4938, number_of_instances: 2500, precision: 0.8305, predictive_accuracy: 0.8308, prior_entropy: 0.9911, recall: 0.8308, relative_absolute_error: 0.673, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7418, scimark_benchmark: 1350.1007, usercpu_time_millis: 90, usercpu_time_millis_training: 90,

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