Task
Supervised Classification on wind_correlations

Supervised Classification on wind_correlations

Task 4355 Supervised Classification wind_correlations 212 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

212 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.9133, kappa: 0.8268, kb_relative_information_score: 346.5924, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9153, predictive_accuracy: 0.9133, prior_entropy: 0.9997, recall: 0.9133, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.5744, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.9199, kappa: 0.8398, kb_relative_information_score: 342.7069, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9205, predictive_accuracy: 0.92, prior_entropy: 0.9997, recall: 0.92, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5455, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.9199, kappa: 0.8397, kb_relative_information_score: 367.1249, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9211, predictive_accuracy: 0.92, prior_entropy: 0.9997, recall: 0.92, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.556, scimark_benchmark: 934.3687, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6353, kappa: 0.3414, kb_relative_information_score: 157.7961, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.7954, predictive_accuracy: 0.6756, prior_entropy: 0.9997, recall: 0.6756, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5696, root_relative_squared_error: 1.1395, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6353, kappa: 0.3414, kb_relative_information_score: 157.7961, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.7954, predictive_accuracy: 0.6756, prior_entropy: 0.9997, recall: 0.6756, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5696, root_relative_squared_error: 1.1395, scimark_benchmark: 916.0735, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9089, kappa: 0.8179, kb_relative_information_score: 362.8003, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9096, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5436, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9089, kappa: 0.8179, kb_relative_information_score: 362.8003, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9096, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5436, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9089, kappa: 0.8179, kb_relative_information_score: 362.8003, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9096, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5436, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9289, kappa: 0.8577, kb_relative_information_score: 297.7011, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9289, predictive_accuracy: 0.9289, prior_entropy: 0.9997, recall: 0.9289, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.5617, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8865, kappa: 0.7729, kb_relative_information_score: 310.4026, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.8878, predictive_accuracy: 0.8867, prior_entropy: 0.9997, recall: 0.8867, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5658, scimark_benchmark: 908.6124, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8555, kappa: 0.7108, kb_relative_information_score: 305.1466, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.8557, predictive_accuracy: 0.8556, prior_entropy: 0.9997, recall: 0.8556, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7352, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6353, kappa: 0.3414, kb_relative_information_score: 157.7961, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.7954, predictive_accuracy: 0.6756, prior_entropy: 0.9997, recall: 0.6756, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5696, root_relative_squared_error: 1.1395, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6353, kappa: 0.3414, kb_relative_information_score: 157.7961, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.7954, predictive_accuracy: 0.6756, prior_entropy: 0.9997, recall: 0.6756, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5696, root_relative_squared_error: 1.1395, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9, kappa: 0.8, kb_relative_information_score: 354.4217, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9005, predictive_accuracy: 0.9, prior_entropy: 0.9997, recall: 0.9, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6126, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9089, kappa: 0.8179, kb_relative_information_score: 362.8003, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9096, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5436, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9089, kappa: 0.8177, kb_relative_information_score: 291.6793, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9089, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.282, root_relative_squared_error: 0.564, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.9133, kappa: 0.8268, kb_relative_information_score: 346.5924, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9153, predictive_accuracy: 0.9133, prior_entropy: 0.9997, recall: 0.9133, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.5744, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.9199, kappa: 0.8398, kb_relative_information_score: 342.7069, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9205, predictive_accuracy: 0.92, prior_entropy: 0.9997, recall: 0.92, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5455, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.9199, kappa: 0.8397, kb_relative_information_score: 367.1249, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9211, predictive_accuracy: 0.92, prior_entropy: 0.9997, recall: 0.92, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.556, scimark_benchmark: 936.2574, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6353, kappa: 0.3414, kb_relative_information_score: 157.7961, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.7954, predictive_accuracy: 0.6756, prior_entropy: 0.9997, recall: 0.6756, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5696, root_relative_squared_error: 1.1395, scimark_benchmark: 927.2882, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6353, kappa: 0.3414, kb_relative_information_score: 157.7961, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.7954, predictive_accuracy: 0.6756, prior_entropy: 0.9997, recall: 0.6756, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5696, root_relative_squared_error: 1.1395, scimark_benchmark: 943.6618, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9089, kappa: 0.8179, kb_relative_information_score: 362.8003, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9096, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5436, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9289, kappa: 0.8577, kb_relative_information_score: 297.7011, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9289, predictive_accuracy: 0.9289, prior_entropy: 0.9997, recall: 0.9289, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.5617, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8865, kappa: 0.7729, kb_relative_information_score: 310.4026, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.8878, predictive_accuracy: 0.8867, prior_entropy: 0.9997, recall: 0.8867, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5658, scimark_benchmark: 905.2959, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9089, kappa: 0.8179, kb_relative_information_score: 362.8003, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9096, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5436, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8555, kappa: 0.7108, kb_relative_information_score: 305.1466, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.8557, predictive_accuracy: 0.8556, prior_entropy: 0.9997, recall: 0.8556, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7352, scimark_benchmark: 932.438, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9089, kappa: 0.8177, kb_relative_information_score: 291.6793, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9089, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.282, root_relative_squared_error: 0.564, scimark_benchmark: 901.4991, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8933, kappa: 0.7864, kb_relative_information_score: 306.6867, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.8936, predictive_accuracy: 0.8933, prior_entropy: 0.9997, recall: 0.8933, relative_absolute_error: 0.3472, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.5295, scimark_benchmark: 936.2574, usercpu_time_millis: 1490, usercpu_time_millis_testing: 670, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.891, kappa: 0.7819, kb_relative_information_score: 304.7718, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.8916, predictive_accuracy: 0.8911, prior_entropy: 0.9997, recall: 0.8911, relative_absolute_error: 0.3503, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.5387, scimark_benchmark: 943.6618, usercpu_time_millis: 740, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9, kappa: 0.7998, kb_relative_information_score: 305.6813, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 0.9997, recall: 0.9, relative_absolute_error: 0.3484, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.5357, scimark_benchmark: 929.7512, usercpu_time_millis: 290, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9022, kappa: 0.8044, kb_relative_information_score: 306.0504, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9024, predictive_accuracy: 0.9022, prior_entropy: 0.9997, recall: 0.9022, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5452, scimark_benchmark: 945.0448, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8955, kappa: 0.7909, kb_relative_information_score: 303.5574, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.8957, predictive_accuracy: 0.8956, prior_entropy: 0.9997, recall: 0.8956, relative_absolute_error: 0.3494, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.5672, scimark_benchmark: 942.5233, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.9132, kappa: 0.8263, kb_relative_information_score: 370.0515, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9151, predictive_accuracy: 0.9133, prior_entropy: 0.9997, recall: 0.9133, relative_absolute_error: 0.179, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.293, root_relative_squared_error: 0.5862, scimark_benchmark: 936.1714, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.9154, kappa: 0.8308, kb_relative_information_score: 372.2522, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9171, predictive_accuracy: 0.9156, prior_entropy: 0.9997, recall: 0.9156, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.5767, scimark_benchmark: 941.9549, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.9221, kappa: 0.8442, kb_relative_information_score: 376.6186, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9235, predictive_accuracy: 0.9222, prior_entropy: 0.9997, recall: 0.9222, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.5575, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.9176, kappa: 0.8352, kb_relative_information_score: 375.9522, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.92, predictive_accuracy: 0.9178, prior_entropy: 0.9997, recall: 0.9178, relative_absolute_error: 0.1649, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5609, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.9221, kappa: 0.8442, kb_relative_information_score: 372.1338, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9235, predictive_accuracy: 0.9222, prior_entropy: 0.9997, recall: 0.9222, relative_absolute_error: 0.1748, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.5585, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4209, f_measure: 0.4286, kappa: -0.1194, kb_relative_information_score: -1.6662, mean_absolute_error: 0.5011, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.4341, predictive_accuracy: 0.4444, prior_entropy: 0.9997, recall: 0.4444, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0027, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.9176, kappa: 0.8352, kb_relative_information_score: 376.1597, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9195, predictive_accuracy: 0.9178, prior_entropy: 0.9997, recall: 0.9178, relative_absolute_error: 0.1639, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.5715, scimark_benchmark: 926.5859, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.9221, kappa: 0.8442, kb_relative_information_score: 378.8451, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9235, predictive_accuracy: 0.9222, prior_entropy: 0.9997, recall: 0.9222, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.5596, scimark_benchmark: 938.3115, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 391.5249, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9338, predictive_accuracy: 0.9333, prior_entropy: 0.9997, recall: 0.9333, relative_absolute_error: 0.1296, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.5036, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9244, kappa: 0.8487, kb_relative_information_score: 382.4188, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9252, predictive_accuracy: 0.9244, prior_entropy: 0.9997, recall: 0.9244, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.5326, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9311, kappa: 0.8621, kb_relative_information_score: 384.4435, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9311, predictive_accuracy: 0.9311, prior_entropy: 0.9997, recall: 0.9311, relative_absolute_error: 0.1469, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.5236, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4407, f_measure: 0.4286, kappa: -0.1194, kb_relative_information_score: -50.3398, mean_absolute_error: 0.5556, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.4341, predictive_accuracy: 0.4444, prior_entropy: 0.9997, recall: 0.4444, relative_absolute_error: 1.1116, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7454, root_relative_squared_error: 1.4911, scimark_benchmark: 922.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8956, kappa: 0.7912, kb_relative_information_score: 333.0084, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.8963, predictive_accuracy: 0.8956, prior_entropy: 0.9997, recall: 0.8956, relative_absolute_error: 0.2777, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.6366, scimark_benchmark: 922.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8776, kappa: 0.7551, kb_relative_information_score: 273.0481, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.8793, predictive_accuracy: 0.8778, prior_entropy: 0.9997, recall: 0.8778, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.5987, scimark_benchmark: 899.1108, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6845, kappa: 0.369, kb_relative_information_score: 69.0397, mean_absolute_error: 0.4341, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.6848, predictive_accuracy: 0.6844, prior_entropy: 0.9997, recall: 0.6844, relative_absolute_error: 0.8687, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9315, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.9133, kappa: 0.8268, kb_relative_information_score: 346.5924, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9153, predictive_accuracy: 0.9133, prior_entropy: 0.9997, recall: 0.9133, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.5744, scimark_benchmark: 934.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.9222, kappa: 0.8443, kb_relative_information_score: 344.8904, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9226, predictive_accuracy: 0.9222, prior_entropy: 0.9997, recall: 0.9222, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.5408, scimark_benchmark: 930.0565, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.9199, kappa: 0.8397, kb_relative_information_score: 367.1249, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9211, predictive_accuracy: 0.92, prior_entropy: 0.9997, recall: 0.92, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.556, scimark_benchmark: 938.9926, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6353, kappa: 0.3414, kb_relative_information_score: 157.7961, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.7954, predictive_accuracy: 0.6756, prior_entropy: 0.9997, recall: 0.6756, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5696, root_relative_squared_error: 1.1395, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6353, kappa: 0.3414, kb_relative_information_score: 157.7961, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.7954, predictive_accuracy: 0.6756, prior_entropy: 0.9997, recall: 0.6756, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5696, root_relative_squared_error: 1.1395, scimark_benchmark: 946.8777, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9089, kappa: 0.8179, kb_relative_information_score: 362.8003, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9096, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5436, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9089, kappa: 0.8179, kb_relative_information_score: 362.8003, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9096, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5436, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9089, kappa: 0.8179, kb_relative_information_score: 362.8003, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9096, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5436, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9289, kappa: 0.8577, kb_relative_information_score: 297.7011, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9289, predictive_accuracy: 0.9289, prior_entropy: 0.9997, recall: 0.9289, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.5617, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8865, kappa: 0.7729, kb_relative_information_score: 310.4026, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.8878, predictive_accuracy: 0.8867, prior_entropy: 0.9997, recall: 0.8867, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5658, scimark_benchmark: 935.627, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9089, kappa: 0.8179, kb_relative_information_score: 362.8003, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9096, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5436, scimark_benchmark: 952.4682, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8555, kappa: 0.7108, kb_relative_information_score: 305.1466, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.8557, predictive_accuracy: 0.8556, prior_entropy: 0.9997, recall: 0.8556, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7352, scimark_benchmark: 910.6607, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9089, kappa: 0.8177, kb_relative_information_score: 291.6793, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9089, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.282, root_relative_squared_error: 0.564, scimark_benchmark: 949.7766, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.9133, kappa: 0.8268, kb_relative_information_score: 346.5924, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9153, predictive_accuracy: 0.9133, prior_entropy: 0.9997, recall: 0.9133, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.5744, scimark_benchmark: 915.9028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.9222, kappa: 0.8443, kb_relative_information_score: 344.8904, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9226, predictive_accuracy: 0.9222, prior_entropy: 0.9997, recall: 0.9222, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.5408, scimark_benchmark: 930.1771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6353, kappa: 0.3414, kb_relative_information_score: 157.7961, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.7954, predictive_accuracy: 0.6756, prior_entropy: 0.9997, recall: 0.6756, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5696, root_relative_squared_error: 1.1395, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6353, kappa: 0.3414, kb_relative_information_score: 157.7961, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.7954, predictive_accuracy: 0.6756, prior_entropy: 0.9997, recall: 0.6756, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5696, root_relative_squared_error: 1.1395, scimark_benchmark: 1337.4384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9089, kappa: 0.8179, kb_relative_information_score: 362.8003, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9096, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5436, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9289, kappa: 0.8577, kb_relative_information_score: 297.7011, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9289, predictive_accuracy: 0.9289, prior_entropy: 0.9997, recall: 0.9289, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.5617, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6353, kappa: 0.3414, kb_relative_information_score: 157.7961, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.7954, predictive_accuracy: 0.6756, prior_entropy: 0.9997, recall: 0.6756, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5696, root_relative_squared_error: 1.1395, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9289, kappa: 0.8577, kb_relative_information_score: 297.7011, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9289, predictive_accuracy: 0.9289, prior_entropy: 0.9997, recall: 0.9289, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.5617, scimark_benchmark: 1325.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9089, kappa: 0.8179, kb_relative_information_score: 362.8003, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9096, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5436, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.9199, kappa: 0.8398, kb_relative_information_score: 342.7069, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9205, predictive_accuracy: 0.92, prior_entropy: 0.9997, recall: 0.92, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5455, scimark_benchmark: 1312.8274, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9, kappa: 0.8, kb_relative_information_score: 354.4217, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9005, predictive_accuracy: 0.9, prior_entropy: 0.9997, recall: 0.9, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6126, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9089, kappa: 0.8179, kb_relative_information_score: 362.8003, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9096, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5436, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6353, kappa: 0.3414, kb_relative_information_score: 157.7961, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.7954, predictive_accuracy: 0.6756, prior_entropy: 0.9997, recall: 0.6756, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5696, root_relative_squared_error: 1.1395, scimark_benchmark: 1303.5632, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9, kappa: 0.8, kb_relative_information_score: 354.4217, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9005, predictive_accuracy: 0.9, prior_entropy: 0.9997, recall: 0.9, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6126, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9089, kappa: 0.8179, kb_relative_information_score: 362.8003, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9096, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5436, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9289, kappa: 0.8577, kb_relative_information_score: 297.7011, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9289, predictive_accuracy: 0.9289, prior_entropy: 0.9997, recall: 0.9289, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.5617, scimark_benchmark: 1347.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9089, kappa: 0.8179, kb_relative_information_score: 362.8003, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9096, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5436, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6353, kappa: 0.3414, kb_relative_information_score: 157.7961, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.7954, predictive_accuracy: 0.6756, prior_entropy: 0.9997, recall: 0.6756, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5696, root_relative_squared_error: 1.1395, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9, kappa: 0.8, kb_relative_information_score: 354.4217, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9005, predictive_accuracy: 0.9, prior_entropy: 0.9997, recall: 0.9, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6126, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9089, kappa: 0.8179, kb_relative_information_score: 362.8003, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9096, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5436, scimark_benchmark: 1366.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8555, kappa: 0.7108, kb_relative_information_score: 305.1466, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.8557, predictive_accuracy: 0.8556, prior_entropy: 0.9997, recall: 0.8556, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7352, scimark_benchmark: 1317.2327, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9, kappa: 0.8, kb_relative_information_score: 354.4217, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9005, predictive_accuracy: 0.9, prior_entropy: 0.9997, recall: 0.9, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6126, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9089, kappa: 0.8179, kb_relative_information_score: 362.8003, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9096, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5436, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9089, kappa: 0.8179, kb_relative_information_score: 362.8003, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9096, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5436, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8865, kappa: 0.7729, kb_relative_information_score: 310.4026, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.8878, predictive_accuracy: 0.8867, prior_entropy: 0.9997, recall: 0.8867, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5658, scimark_benchmark: 1358.6198, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9089, kappa: 0.8179, kb_relative_information_score: 362.8003, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9096, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5436, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9089, kappa: 0.8179, kb_relative_information_score: 362.8003, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9096, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5436, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8555, kappa: 0.7108, kb_relative_information_score: 305.1466, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.8557, predictive_accuracy: 0.8556, prior_entropy: 0.9997, recall: 0.8556, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7352, scimark_benchmark: 1317.6232, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9089, kappa: 0.8177, kb_relative_information_score: 291.6793, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9089, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.282, root_relative_squared_error: 0.564, scimark_benchmark: 1354.5533, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.9199, kappa: 0.8397, kb_relative_information_score: 366.986, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9211, predictive_accuracy: 0.92, prior_entropy: 0.9997, recall: 0.92, relative_absolute_error: 0.191, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.556, scimark_benchmark: 1322.806, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9, kappa: 0.8, kb_relative_information_score: 354.4217, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9005, predictive_accuracy: 0.9, prior_entropy: 0.9997, recall: 0.9, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6126, scimark_benchmark: 1280.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9089, kappa: 0.8179, kb_relative_information_score: 362.8003, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9096, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5436, scimark_benchmark: 1332.3382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9089, kappa: 0.8179, kb_relative_information_score: 362.8003, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9096, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5436, scimark_benchmark: 1330.2425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9089, kappa: 0.8179, kb_relative_information_score: 362.8003, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9096, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5436, scimark_benchmark: 1333.1149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9089, kappa: 0.8177, kb_relative_information_score: 291.6793, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9089, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.282, root_relative_squared_error: 0.564, scimark_benchmark: 1313.9976, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.9199, kappa: 0.8398, kb_relative_information_score: 342.7069, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9205, predictive_accuracy: 0.92, prior_entropy: 0.9997, recall: 0.92, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5455, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9089, kappa: 0.8179, kb_relative_information_score: 362.8003, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9096, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5436, scimark_benchmark: 1353.5464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8555, kappa: 0.7108, kb_relative_information_score: 305.1466, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.8557, predictive_accuracy: 0.8556, prior_entropy: 0.9997, recall: 0.8556, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7352, scimark_benchmark: 1339.5666, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9067, kappa: 0.8134, kb_relative_information_score: 363.4991, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.907, predictive_accuracy: 0.9067, prior_entropy: 0.9997, recall: 0.9067, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.539, scimark_benchmark: 1397.3209, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6353, kappa: 0.3414, kb_relative_information_score: 157.7961, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.7954, predictive_accuracy: 0.6756, prior_entropy: 0.9997, recall: 0.6756, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5696, root_relative_squared_error: 1.1395, scimark_benchmark: 1343.254, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs