Task
Supervised Classification on analcatdata_broadwaymult

Supervised Classification on analcatdata_broadwaymult

Task 4529 Supervised Classification analcatdata_broadwaymult 216 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

216 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7601, kappa: 0.5094, kb_relative_information_score: 1148.1046, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7632, predictive_accuracy: 0.7589, prior_entropy: 0.9789, recall: 0.7589, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8033, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7747, kappa: 0.5349, kb_relative_information_score: 969.672, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7744, predictive_accuracy: 0.7751, prior_entropy: 0.9789, recall: 0.7751, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8125, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.775, kappa: 0.5407, kb_relative_information_score: 1150.8884, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7792, predictive_accuracy: 0.7737, prior_entropy: 0.9789, recall: 0.7737, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8286, scimark_benchmark: 934.3687, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.499, kappa: 0.0271, kb_relative_information_score: 347.0921, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5413, predictive_accuracy: 0.5793, prior_entropy: 0.9789, recall: 0.5793, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6486, root_relative_squared_error: 1.3168, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.499, kappa: 0.0271, kb_relative_information_score: 347.0921, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5413, predictive_accuracy: 0.5793, prior_entropy: 0.9789, recall: 0.5793, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6486, root_relative_squared_error: 1.3168, scimark_benchmark: 931.771, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3451, f_measure: 0.4256, kappa: -0.1925, kb_relative_information_score: -438.3197, mean_absolute_error: 0.5479, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.4189, predictive_accuracy: 0.4368, prior_entropy: 0.9789, recall: 0.4368, relative_absolute_error: 1.129, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.5983, root_relative_squared_error: 1.2147, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5684, f_measure: 0.5292, kappa: 0.023, kb_relative_information_score: 64.4698, mean_absolute_error: 0.4666, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5261, predictive_accuracy: 0.5358, prior_entropy: 0.9789, recall: 0.5358, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.5761, root_relative_squared_error: 1.1695, scimark_benchmark: 938.191, usercpu_time_millis: 310, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7745, kappa: 0.5365, kb_relative_information_score: 1078.8997, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7753, predictive_accuracy: 0.774, prior_entropy: 0.9789, recall: 0.774, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8285, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.5668, kappa: 0.1008, kb_relative_information_score: 186.9083, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5658, predictive_accuracy: 0.5786, prior_entropy: 0.9789, recall: 0.5786, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9905, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.499, kappa: 0.0271, kb_relative_information_score: 347.0921, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5413, predictive_accuracy: 0.5793, prior_entropy: 0.9789, recall: 0.5793, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6486, root_relative_squared_error: 1.3168, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.499, kappa: 0.0271, kb_relative_information_score: 347.0921, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5413, predictive_accuracy: 0.5793, prior_entropy: 0.9789, recall: 0.5793, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6486, root_relative_squared_error: 1.3168, scimark_benchmark: 932.438, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7691, f_measure: 0.7009, kappa: 0.3789, kb_relative_information_score: 729.2694, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7049, predictive_accuracy: 0.7077, prior_entropy: 0.9789, recall: 0.7077, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8949, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.5668, kappa: 0.1008, kb_relative_information_score: 186.9083, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5658, predictive_accuracy: 0.5786, prior_entropy: 0.9789, recall: 0.5786, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9905, scimark_benchmark: 947.1781, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7601, kappa: 0.5094, kb_relative_information_score: 1148.1046, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7632, predictive_accuracy: 0.7589, prior_entropy: 0.9789, recall: 0.7589, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8033, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7747, kappa: 0.5349, kb_relative_information_score: 969.672, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7744, predictive_accuracy: 0.7751, prior_entropy: 0.9789, recall: 0.7751, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8125, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.775, kappa: 0.5407, kb_relative_information_score: 1150.8884, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7792, predictive_accuracy: 0.7737, prior_entropy: 0.9789, recall: 0.7737, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8286, scimark_benchmark: 936.2574, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.499, kappa: 0.0271, kb_relative_information_score: 347.0921, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5413, predictive_accuracy: 0.5793, prior_entropy: 0.9789, recall: 0.5793, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6486, root_relative_squared_error: 1.3168, scimark_benchmark: 940.1221, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.499, kappa: 0.0271, kb_relative_information_score: 347.0921, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5413, predictive_accuracy: 0.5793, prior_entropy: 0.9789, recall: 0.5793, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6486, root_relative_squared_error: 1.3168, scimark_benchmark: 730.6551, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3451, f_measure: 0.4256, kappa: -0.1925, kb_relative_information_score: -438.3197, mean_absolute_error: 0.5479, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.4189, predictive_accuracy: 0.4368, prior_entropy: 0.9789, recall: 0.4368, relative_absolute_error: 1.129, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.5983, root_relative_squared_error: 1.2147, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5684, f_measure: 0.5292, kappa: 0.023, kb_relative_information_score: 64.4698, mean_absolute_error: 0.4666, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5261, predictive_accuracy: 0.5358, prior_entropy: 0.9789, recall: 0.5358, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.5761, root_relative_squared_error: 1.1695, scimark_benchmark: 936.3213, usercpu_time_millis: 240, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.5668, kappa: 0.1008, kb_relative_information_score: 186.9083, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5658, predictive_accuracy: 0.5786, prior_entropy: 0.9789, recall: 0.5786, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9905, scimark_benchmark: 941.4991, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.7911, kappa: 0.5707, kb_relative_information_score: 1157.6724, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.792, predictive_accuracy: 0.7905, prior_entropy: 0.9789, recall: 0.7905, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7851, scimark_benchmark: 917.5013, usercpu_time_millis: 10110, usercpu_time_millis_testing: 3100, usercpu_time_millis_training: 7010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.7835, kappa: 0.5545, kb_relative_information_score: 1150.6641, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.784, predictive_accuracy: 0.7832, prior_entropy: 0.9789, recall: 0.7832, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7879, scimark_benchmark: 945.6228, usercpu_time_millis: 4660, usercpu_time_millis_testing: 1320, usercpu_time_millis_training: 3340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.783, kappa: 0.5533, kb_relative_information_score: 1137.6295, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7833, predictive_accuracy: 0.7828, prior_entropy: 0.9789, recall: 0.7828, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7939, scimark_benchmark: 941.7587, usercpu_time_millis: 2170, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 1630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.7669, kappa: 0.5199, kb_relative_information_score: 1137.5483, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7671, predictive_accuracy: 0.7667, prior_entropy: 0.9789, recall: 0.7667, relative_absolute_error: 0.623, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.7987, scimark_benchmark: 939.3535, usercpu_time_millis: 1210, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.7748, kappa: 0.5361, kb_relative_information_score: 1146.2557, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7749, predictive_accuracy: 0.7747, prior_entropy: 0.9789, recall: 0.7747, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.809, scimark_benchmark: 933.9243, usercpu_time_millis: 400, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.7263, kappa: 0.4428, kb_relative_information_score: 930.5798, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7321, predictive_accuracy: 0.7246, prior_entropy: 0.9789, recall: 0.7246, relative_absolute_error: 0.6879, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.9, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.7263, kappa: 0.4428, kb_relative_information_score: 930.5798, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7321, predictive_accuracy: 0.7246, prior_entropy: 0.9789, recall: 0.7246, relative_absolute_error: 0.6879, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.9, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.7263, kappa: 0.4428, kb_relative_information_score: 930.5798, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7321, predictive_accuracy: 0.7246, prior_entropy: 0.9789, recall: 0.7246, relative_absolute_error: 0.6879, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.9, scimark_benchmark: 930.0565, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7726, f_measure: 0.7277, kappa: 0.4459, kb_relative_information_score: 937.0679, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7338, predictive_accuracy: 0.726, prior_entropy: 0.9789, recall: 0.726, relative_absolute_error: 0.6857, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8959, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.7333, kappa: 0.4574, kb_relative_information_score: 974.2412, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7395, predictive_accuracy: 0.7316, prior_entropy: 0.9789, recall: 0.7316, relative_absolute_error: 0.674, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.8761, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.7457, kappa: 0.4809, kb_relative_information_score: 1027.7358, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.75, predictive_accuracy: 0.7442, prior_entropy: 0.9789, recall: 0.7442, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8471, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4869, f_measure: 0.433, kb_relative_information_score: -0.6307, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.9789, recall: 0.586, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4926, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7755, kappa: 0.5356, kb_relative_information_score: 1467.7874, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7753, predictive_accuracy: 0.7765, prior_entropy: 0.9789, recall: 0.7765, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8947, scimark_benchmark: 926.5859, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7777, kappa: 0.5391, kb_relative_information_score: 1499.0294, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7788, predictive_accuracy: 0.78, prior_entropy: 0.9789, recall: 0.78, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8948, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7755, kappa: 0.535, kb_relative_information_score: 1468.9573, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7758, predictive_accuracy: 0.7772, prior_entropy: 0.9789, recall: 0.7772, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8969, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7718, kappa: 0.5265, kb_relative_information_score: 1489.9586, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7743, predictive_accuracy: 0.7751, prior_entropy: 0.9789, recall: 0.7751, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9059, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7668, kappa: 0.5161, kb_relative_information_score: 1432.2642, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7687, predictive_accuracy: 0.7698, prior_entropy: 0.9789, recall: 0.7698, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9165, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.433, kb_relative_information_score: 386.7407, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.9789, recall: 0.586, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6435, root_relative_squared_error: 1.3064, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.7709, kappa: 0.5312, kb_relative_information_score: 1181.2415, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7738, predictive_accuracy: 0.7698, prior_entropy: 0.9789, recall: 0.7698, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8661, scimark_benchmark: 922.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7692, kappa: 0.5263, kb_relative_information_score: 271.9583, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7706, predictive_accuracy: 0.7684, prior_entropy: 0.9789, recall: 0.7684, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9273, scimark_benchmark: 931.7994, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7635, kappa: 0.5097, kb_relative_information_score: 780.6031, mean_absolute_error: 0.3685, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7644, predictive_accuracy: 0.766, prior_entropy: 0.9789, recall: 0.766, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8362, scimark_benchmark: 931.7994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7601, kappa: 0.5094, kb_relative_information_score: 1148.1046, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7632, predictive_accuracy: 0.7589, prior_entropy: 0.9789, recall: 0.7589, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8033, scimark_benchmark: 934.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7747, kappa: 0.5349, kb_relative_information_score: 969.672, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7744, predictive_accuracy: 0.7751, prior_entropy: 0.9789, recall: 0.7751, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8125, scimark_benchmark: 906.0884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.775, kappa: 0.5407, kb_relative_information_score: 1150.8884, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7792, predictive_accuracy: 0.7737, prior_entropy: 0.9789, recall: 0.7737, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8286, scimark_benchmark: 938.9926, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.499, kappa: 0.0271, kb_relative_information_score: 347.0921, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5413, predictive_accuracy: 0.5793, prior_entropy: 0.9789, recall: 0.5793, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6486, root_relative_squared_error: 1.3168, scimark_benchmark: 890.5596, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.499, kappa: 0.0271, kb_relative_information_score: 347.0921, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5413, predictive_accuracy: 0.5793, prior_entropy: 0.9789, recall: 0.5793, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6486, root_relative_squared_error: 1.3168, scimark_benchmark: 917.407, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7691, f_measure: 0.7009, kappa: 0.3789, kb_relative_information_score: 729.2694, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7049, predictive_accuracy: 0.7077, prior_entropy: 0.9789, recall: 0.7077, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8949, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3451, f_measure: 0.4256, kappa: -0.1925, kb_relative_information_score: -438.3197, mean_absolute_error: 0.5479, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.4189, predictive_accuracy: 0.4368, prior_entropy: 0.9789, recall: 0.4368, relative_absolute_error: 1.129, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.5983, root_relative_squared_error: 1.2147, scimark_benchmark: 922.5036, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5684, f_measure: 0.5292, kappa: 0.023, kb_relative_information_score: 64.4698, mean_absolute_error: 0.4666, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5261, predictive_accuracy: 0.5358, prior_entropy: 0.9789, recall: 0.5358, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.5761, root_relative_squared_error: 1.1695, scimark_benchmark: 915.9028, usercpu_time_millis: 210, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 890.5596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7745, kappa: 0.5365, kb_relative_information_score: 1078.8997, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7753, predictive_accuracy: 0.774, prior_entropy: 0.9789, recall: 0.774, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8285, scimark_benchmark: 910.6607, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.5668, kappa: 0.1008, kb_relative_information_score: 186.9083, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5658, predictive_accuracy: 0.5786, prior_entropy: 0.9789, recall: 0.5786, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9905, scimark_benchmark: 928.8135, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7747, kappa: 0.5349, kb_relative_information_score: 969.672, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7744, predictive_accuracy: 0.7751, prior_entropy: 0.9789, recall: 0.7751, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8125, scimark_benchmark: 933.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.499, kappa: 0.0271, kb_relative_information_score: 347.0921, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5413, predictive_accuracy: 0.5793, prior_entropy: 0.9789, recall: 0.5793, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6486, root_relative_squared_error: 1.3168, scimark_benchmark: 1359.7293, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7691, f_measure: 0.7009, kappa: 0.3789, kb_relative_information_score: 729.2694, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7049, predictive_accuracy: 0.7077, prior_entropy: 0.9789, recall: 0.7077, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8949, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7745, kappa: 0.5365, kb_relative_information_score: 1078.8997, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7753, predictive_accuracy: 0.774, prior_entropy: 0.9789, recall: 0.774, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8285, scimark_benchmark: 1292.514, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7691, f_measure: 0.7009, kappa: 0.3789, kb_relative_information_score: 729.2694, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7049, predictive_accuracy: 0.7077, prior_entropy: 0.9789, recall: 0.7077, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8949, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 1278.9821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7691, f_measure: 0.7009, kappa: 0.3789, kb_relative_information_score: 729.2694, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7049, predictive_accuracy: 0.7077, prior_entropy: 0.9789, recall: 0.7077, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8949, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.499, kappa: 0.0271, kb_relative_information_score: 347.0921, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5413, predictive_accuracy: 0.5793, prior_entropy: 0.9789, recall: 0.5793, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6486, root_relative_squared_error: 1.3168, scimark_benchmark: 1317.7919, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 1366.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7745, kappa: 0.5365, kb_relative_information_score: 1078.8997, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7753, predictive_accuracy: 0.774, prior_entropy: 0.9789, recall: 0.774, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8285, scimark_benchmark: 1317.2327, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.5668, kappa: 0.1008, kb_relative_information_score: 186.9083, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5658, predictive_accuracy: 0.5786, prior_entropy: 0.9789, recall: 0.5786, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9905, scimark_benchmark: 1322.3407, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7747, kappa: 0.5349, kb_relative_information_score: 969.672, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7744, predictive_accuracy: 0.7751, prior_entropy: 0.9789, recall: 0.7751, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8125, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.499, kappa: 0.0271, kb_relative_information_score: 347.0921, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5413, predictive_accuracy: 0.5793, prior_entropy: 0.9789, recall: 0.5793, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6486, root_relative_squared_error: 1.3168, scimark_benchmark: 1316.5668, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3451, f_measure: 0.4256, kappa: -0.1925, kb_relative_information_score: -438.3197, mean_absolute_error: 0.5479, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.4189, predictive_accuracy: 0.4368, prior_entropy: 0.9789, recall: 0.4368, relative_absolute_error: 1.129, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.5983, root_relative_squared_error: 1.2147, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5684, f_measure: 0.5292, kappa: 0.023, kb_relative_information_score: 64.4698, mean_absolute_error: 0.4666, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5261, predictive_accuracy: 0.5358, prior_entropy: 0.9789, recall: 0.5358, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.5761, root_relative_squared_error: 1.1695, scimark_benchmark: 1308.685, usercpu_time_millis: 150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 1343.3311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.775, kappa: 0.5407, kb_relative_information_score: 1150.8884, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7792, predictive_accuracy: 0.7737, prior_entropy: 0.9789, recall: 0.7737, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8286, scimark_benchmark: 1307.9497, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7691, f_measure: 0.7009, kappa: 0.3789, kb_relative_information_score: 729.2694, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7049, predictive_accuracy: 0.7077, prior_entropy: 0.9789, recall: 0.7077, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8949, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5684, f_measure: 0.5292, kappa: 0.023, kb_relative_information_score: 64.4698, mean_absolute_error: 0.4666, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5261, predictive_accuracy: 0.5358, prior_entropy: 0.9789, recall: 0.5358, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.5761, root_relative_squared_error: 1.1695, scimark_benchmark: 1325.8468, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7745, kappa: 0.5365, kb_relative_information_score: 1078.8997, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7753, predictive_accuracy: 0.774, prior_entropy: 0.9789, recall: 0.774, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8285, scimark_benchmark: 1320.8283, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.5668, kappa: 0.1008, kb_relative_information_score: 186.9083, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5658, predictive_accuracy: 0.5786, prior_entropy: 0.9789, recall: 0.5786, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9905, scimark_benchmark: 1313.5633, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7601, kappa: 0.5094, kb_relative_information_score: 1148.1046, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7632, predictive_accuracy: 0.7589, prior_entropy: 0.9789, recall: 0.7589, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8033, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7747, kappa: 0.5349, kb_relative_information_score: 969.672, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7744, predictive_accuracy: 0.7751, prior_entropy: 0.9789, recall: 0.7751, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8125, scimark_benchmark: 1350.1007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.775, kappa: 0.5407, kb_relative_information_score: 1150.8884, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7792, predictive_accuracy: 0.7737, prior_entropy: 0.9789, recall: 0.7737, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8286, scimark_benchmark: 1346.0226, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7691, f_measure: 0.7009, kappa: 0.3789, kb_relative_information_score: 729.2694, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7049, predictive_accuracy: 0.7077, prior_entropy: 0.9789, recall: 0.7077, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8949, scimark_benchmark: 1280.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7745, kappa: 0.5365, kb_relative_information_score: 1078.8997, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7753, predictive_accuracy: 0.774, prior_entropy: 0.9789, recall: 0.774, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8285, scimark_benchmark: 1352.9931, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.5668, kappa: 0.1008, kb_relative_information_score: 186.9083, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5658, predictive_accuracy: 0.5786, prior_entropy: 0.9789, recall: 0.5786, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9905, scimark_benchmark: 1324.4002, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,

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