Task
Supervised Classification on triazines

Supervised Classification on triazines

Task 3653 Supervised Classification triazines 581 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

581 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7675, kappa: 0.5189, kb_relative_information_score: 88.4631, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7674, predictive_accuracy: 0.7688, prior_entropy: 0.979, recall: 0.7688, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.827, scimark_benchmark: 936.7184, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.7669, kappa: 0.5171, kb_relative_information_score: 82.1077, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7673, predictive_accuracy: 0.7688, prior_entropy: 0.979, recall: 0.7688, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8392, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.7647, kappa: 0.5114, kb_relative_information_score: 66.5004, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7685, predictive_accuracy: 0.7688, prior_entropy: 0.979, recall: 0.7688, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8642, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4821, f_measure: 0.4331, kb_relative_information_score: -0.0699, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4926, root_relative_squared_error: 1.0001, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7679, kappa: 0.5181, kb_relative_information_score: 91.0837, mean_absolute_error: 0.2471, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7774, predictive_accuracy: 0.7742, prior_entropy: 0.979, recall: 0.7742, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8736, scimark_benchmark: 926.5859, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7679, kappa: 0.5181, kb_relative_information_score: 91.0837, mean_absolute_error: 0.2471, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7774, predictive_accuracy: 0.7742, prior_entropy: 0.979, recall: 0.7742, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8736, scimark_benchmark: 936.1714, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.7276, kappa: 0.442, kb_relative_information_score: 80.5301, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.774, predictive_accuracy: 0.7473, prior_entropy: 0.979, recall: 0.7473, relative_absolute_error: 0.5634, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9118, scimark_benchmark: 935.6052, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7035, kappa: 0.3889, kb_relative_information_score: 73.131, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7303, predictive_accuracy: 0.7204, prior_entropy: 0.979, recall: 0.7204, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9384, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.6534, kappa: 0.3062, kb_relative_information_score: 60.6531, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7357, predictive_accuracy: 0.6935, prior_entropy: 0.979, recall: 0.6935, relative_absolute_error: 0.6764, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.9852, scimark_benchmark: 935.6052, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.63, kappa: 0.2651, kb_relative_information_score: 48.2474, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7206, predictive_accuracy: 0.6774, prior_entropy: 0.979, recall: 0.6774, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5237, root_relative_squared_error: 1.0633, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 25.2741, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.784, kappa: 0.5516, kb_relative_information_score: 90.225, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7959, predictive_accuracy: 0.7903, prior_entropy: 0.979, recall: 0.7903, relative_absolute_error: 0.5299, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.832, scimark_benchmark: 942.6192, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.8051, kappa: 0.5965, kb_relative_information_score: 79.5065, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.8055, predictive_accuracy: 0.8065, prior_entropy: 0.979, recall: 0.8065, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.7859, scimark_benchmark: 924.4107, usercpu_time_millis: 1530, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7286, f_measure: 0.6011, kappa: 0.2055, kb_relative_information_score: 23.9776, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.6703, predictive_accuracy: 0.6505, prior_entropy: 0.979, recall: 0.6505, relative_absolute_error: 0.8846, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9359, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4917, f_measure: 0.5313, kappa: 0.0691, kb_relative_information_score: 6.7404, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5685, predictive_accuracy: 0.5914, prior_entropy: 0.979, recall: 0.5914, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.049, scimark_benchmark: 907.1091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.7169, kappa: 0.4126, kb_relative_information_score: 49.5527, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7176, predictive_accuracy: 0.7204, prior_entropy: 0.979, recall: 0.7204, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8659, scimark_benchmark: 926.4745, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.7688, kappa: 0.52, kb_relative_information_score: 74.3767, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7758, predictive_accuracy: 0.7742, prior_entropy: 0.979, recall: 0.7742, relative_absolute_error: 0.6201, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8433, scimark_benchmark: 934.929, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 25.2741, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 946.8777, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.3996, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.0573, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7647, kappa: 0.5114, kb_relative_information_score: 71.2485, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7685, predictive_accuracy: 0.7688, prior_entropy: 0.979, recall: 0.7688, relative_absolute_error: 0.6433, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7954, scimark_benchmark: 946.9304, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.7394, kappa: 0.4599, kb_relative_information_score: 66.4816, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7398, predictive_accuracy: 0.7419, prior_entropy: 0.979, recall: 0.7419, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8742, scimark_benchmark: 952.4682, usercpu_time_millis: 1240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 879.4299, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.7437, kappa: 0.4681, kb_relative_information_score: 73.0291, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7455, predictive_accuracy: 0.7473, prior_entropy: 0.979, recall: 0.7473, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8785, scimark_benchmark: 952.4682, usercpu_time_millis: 2290, usercpu_time_millis_training: 2290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.7573, kappa: 0.4985, kb_relative_information_score: 77.4146, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7569, predictive_accuracy: 0.7581, prior_entropy: 0.979, recall: 0.7581, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8122, scimark_benchmark: 879.4299, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4917, f_measure: 0.5313, kappa: 0.0691, kb_relative_information_score: 6.7404, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5685, predictive_accuracy: 0.5914, prior_entropy: 0.979, recall: 0.5914, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.049, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 25.2741, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 1340.2467, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.7437, kappa: 0.4681, kb_relative_information_score: 73.0291, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7455, predictive_accuracy: 0.7473, prior_entropy: 0.979, recall: 0.7473, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8785, scimark_benchmark: 1327.5842, usercpu_time_millis: 2280, usercpu_time_millis_training: 2280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 25.2741, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 1295.609, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1322.5413, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.7437, kappa: 0.4681, kb_relative_information_score: 73.0291, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7455, predictive_accuracy: 0.7473, prior_entropy: 0.979, recall: 0.7473, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8785, scimark_benchmark: 1322.5413, usercpu_time_millis: 2460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.7573, kappa: 0.4985, kb_relative_information_score: 77.4146, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7569, predictive_accuracy: 0.7581, prior_entropy: 0.979, recall: 0.7581, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8122, scimark_benchmark: 1342.8632, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4917, f_measure: 0.5313, kappa: 0.0691, kb_relative_information_score: 6.7404, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5685, predictive_accuracy: 0.5914, prior_entropy: 0.979, recall: 0.5914, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.049, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.7169, kappa: 0.4126, kb_relative_information_score: 49.5527, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7176, predictive_accuracy: 0.7204, prior_entropy: 0.979, recall: 0.7204, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8659, scimark_benchmark: 1292.514, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.3996, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.0573, scimark_benchmark: 1339.2472, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.7688, kappa: 0.52, kb_relative_information_score: 74.3767, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7758, predictive_accuracy: 0.7742, prior_entropy: 0.979, recall: 0.7742, relative_absolute_error: 0.6201, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8433, scimark_benchmark: 1336.0954, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.3996, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.0573, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1307.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 25.2741, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 1340.5125, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.3996, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.0573, scimark_benchmark: 1303.5632, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.7573, kappa: 0.4985, kb_relative_information_score: 77.4146, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7569, predictive_accuracy: 0.7581, prior_entropy: 0.979, recall: 0.7581, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8122, scimark_benchmark: 1296.8947, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1375.1578, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1340.9749, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 25.2741, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 1310.6554, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.3996, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.0573, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1350.2591, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 25.2741, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 1417.3093, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.3996, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.0573, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1333.6736, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1322.3407, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.7394, kappa: 0.4599, kb_relative_information_score: 66.4824, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7398, predictive_accuracy: 0.7419, prior_entropy: 0.979, recall: 0.7419, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8742, scimark_benchmark: 1345.6844, usercpu_time_millis: 590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1354.5533, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.7437, kappa: 0.4681, kb_relative_information_score: 73.0291, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7455, predictive_accuracy: 0.7473, prior_entropy: 0.979, recall: 0.7473, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8785, scimark_benchmark: 1324.6442, usercpu_time_millis: 2370, usercpu_time_millis_training: 2370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4917, f_measure: 0.5313, kappa: 0.0691, kb_relative_information_score: 6.7404, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5685, predictive_accuracy: 0.5914, prior_entropy: 0.979, recall: 0.5914, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.049, scimark_benchmark: 1335.2357, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.7169, kappa: 0.4126, kb_relative_information_score: 49.5527, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7176, predictive_accuracy: 0.7204, prior_entropy: 0.979, recall: 0.7204, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8659, scimark_benchmark: 1346.1568, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.7688, kappa: 0.52, kb_relative_information_score: 74.3767, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7758, predictive_accuracy: 0.7742, prior_entropy: 0.979, recall: 0.7742, relative_absolute_error: 0.6201, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8433, scimark_benchmark: 1350.4825, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 25.2741, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 1327.3335, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 25.2741, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 1313.11, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.3996, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.0573, scimark_benchmark: 1325.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.7394, kappa: 0.4599, kb_relative_information_score: 66.4824, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7398, predictive_accuracy: 0.7419, prior_entropy: 0.979, recall: 0.7419, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8742, scimark_benchmark: 1324.6442, usercpu_time_millis: 690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.7437, kappa: 0.4681, kb_relative_information_score: 73.0291, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7455, predictive_accuracy: 0.7473, prior_entropy: 0.979, recall: 0.7473, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8785, scimark_benchmark: 1358.6198, usercpu_time_millis: 2310, usercpu_time_millis_training: 2310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.7573, kappa: 0.4985, kb_relative_information_score: 77.4146, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7569, predictive_accuracy: 0.7581, prior_entropy: 0.979, recall: 0.7581, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8122, scimark_benchmark: 1317.5348, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.7169, kappa: 0.4126, kb_relative_information_score: 49.5527, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7176, predictive_accuracy: 0.7204, prior_entropy: 0.979, recall: 0.7204, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8659, scimark_benchmark: 1350.1007, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.7688, kappa: 0.52, kb_relative_information_score: 74.3767, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7758, predictive_accuracy: 0.7742, prior_entropy: 0.979, recall: 0.7742, relative_absolute_error: 0.6201, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8433, scimark_benchmark: 1339.3082, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.763, kappa: 0.5106, kb_relative_information_score: 81.1231, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7627, predictive_accuracy: 0.7634, prior_entropy: 0.979, recall: 0.7634, relative_absolute_error: 0.569, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8707, scimark_benchmark: 1330.3848, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 25.2741, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 1352.9101, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 25.2741, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 1346.2927, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1299.6719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1311.7317, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7647, kappa: 0.5114, kb_relative_information_score: 71.2485, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7685, predictive_accuracy: 0.7688, prior_entropy: 0.979, recall: 0.7688, relative_absolute_error: 0.6433, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7954, scimark_benchmark: 1330.4755, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1345.0202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4917, f_measure: 0.5313, kappa: 0.0691, kb_relative_information_score: 6.7404, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5685, predictive_accuracy: 0.5914, prior_entropy: 0.979, recall: 0.5914, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.049, scimark_benchmark: 1344.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.7169, kappa: 0.4126, kb_relative_information_score: 49.5527, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7176, predictive_accuracy: 0.7204, prior_entropy: 0.979, recall: 0.7204, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8659, scimark_benchmark: 1323.4116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 25.2741, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 1331.0107, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.7437, kappa: 0.4681, kb_relative_information_score: 73.0291, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7455, predictive_accuracy: 0.7473, prior_entropy: 0.979, recall: 0.7473, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8785, scimark_benchmark: 1344.0499, usercpu_time_millis: 2460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.7573, kappa: 0.4985, kb_relative_information_score: 77.4146, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7569, predictive_accuracy: 0.7581, prior_entropy: 0.979, recall: 0.7581, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8122, scimark_benchmark: 1253.0071, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5066, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.7989, mean_absolute_error: 0.4683, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5189, root_relative_squared_error: 1.0535, scimark_benchmark: 1359.7293, usercpu_time_millis: 260, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4331, kb_relative_information_score: 25.2741, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.3063, scimark_benchmark: 1346.1201, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.7573, kappa: 0.4985, kb_relative_information_score: 77.4146, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7569, predictive_accuracy: 0.7581, prior_entropy: 0.979, recall: 0.7581, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8122, scimark_benchmark: 1322.7257, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.3996, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.0573, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.7573, kappa: 0.4985, kb_relative_information_score: 77.4146, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7569, predictive_accuracy: 0.7581, prior_entropy: 0.979, recall: 0.7581, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8122, scimark_benchmark: 1326.8946, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.7169, kappa: 0.4126, kb_relative_information_score: 49.5527, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7176, predictive_accuracy: 0.7204, prior_entropy: 0.979, recall: 0.7204, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8659, scimark_benchmark: 1348.2476, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.7394, kappa: 0.4599, kb_relative_information_score: 66.4824, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7398, predictive_accuracy: 0.7419, prior_entropy: 0.979, recall: 0.7419, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8742, scimark_benchmark: 1341.5795, usercpu_time_millis: 590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.3996, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.0573, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5228, kappa: 0.0549, kb_relative_information_score: 6.625, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.5586, predictive_accuracy: 0.586, prior_entropy: 0.979, recall: 0.586, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0551, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 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