Task
Supervised Classification on kin8nm

Supervised Classification on kin8nm

Task 3672 Supervised Classification kin8nm 561 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.785, kappa: 0.5702, kb_relative_information_score: 3525.9945, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7864, predictive_accuracy: 0.7854, prior_entropy: 0.9998, recall: 0.7854, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7448, kappa: 0.4896, kb_relative_information_score: 2703.312, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.745, predictive_accuracy: 0.7448, prior_entropy: 0.9998, recall: 0.7448, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.7717, kappa: 0.5433, kb_relative_information_score: 3511.609, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7721, predictive_accuracy: 0.7719, prior_entropy: 0.9998, recall: 0.7719, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8255, kappa: 0.6509, kb_relative_information_score: 3982.8027, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8265, predictive_accuracy: 0.8257, prior_entropy: 0.9998, recall: 0.8257, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.353, root_relative_squared_error: 0.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.7194, kappa: 0.4453, kb_relative_information_score: 2799.5525, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7358, predictive_accuracy: 0.7239, prior_entropy: 0.9998, recall: 0.7239, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.8496, kappa: 0.6992, kb_relative_information_score: 5255.4905, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8497, predictive_accuracy: 0.8496, prior_entropy: 0.9998, recall: 0.8496, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8289, kappa: 0.6576, kb_relative_information_score: 5355.2538, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8289, predictive_accuracy: 0.8289, prior_entropy: 0.9998, recall: 0.8289, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.7352, kappa: 0.4703, kb_relative_information_score: 3060.0695, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7352, predictive_accuracy: 0.7352, prior_entropy: 0.9998, recall: 0.7352, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8195, kappa: 0.6389, kb_relative_information_score: 4791.2552, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8197, predictive_accuracy: 0.8195, prior_entropy: 0.9998, recall: 0.8195, relative_absolute_error: 0.4274, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8195, kappa: 0.6389, kb_relative_information_score: 4791.2552, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8197, predictive_accuracy: 0.8195, prior_entropy: 0.9998, recall: 0.8195, relative_absolute_error: 0.4274, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7352, kappa: 0.4703, kb_relative_information_score: 2555.4336, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7352, predictive_accuracy: 0.7352, prior_entropy: 0.9998, recall: 0.7352, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.6902, kappa: 0.3804, kb_relative_information_score: 1990.7994, mean_absolute_error: 0.3925, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.6904, predictive_accuracy: 0.6902, prior_entropy: 0.9998, recall: 0.6902, relative_absolute_error: 0.7852, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.8932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8526, kappa: 0.7051, kb_relative_information_score: 4738.9942, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8527, predictive_accuracy: 0.8525, prior_entropy: 0.9998, recall: 0.8525, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, f_measure: 0.7344, kappa: 0.4687, kb_relative_information_score: 3826.1335, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7345, predictive_accuracy: 0.7344, prior_entropy: 0.9998, recall: 0.7344, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5068, root_relative_squared_error: 1.0138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8235, kappa: 0.6469, kb_relative_information_score: 4248.3791, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8235, predictive_accuracy: 0.8235, prior_entropy: 0.9998, recall: 0.8235, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.746, kappa: 0.4919, kb_relative_information_score: 1544.8967, mean_absolute_error: 0.423, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.746, predictive_accuracy: 0.746, prior_entropy: 0.9998, recall: 0.746, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3431, kb_relative_information_score: -0.0017, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.2589, predictive_accuracy: 0.5088, prior_entropy: 0.9998, recall: 0.5088, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8496, kappa: 0.6992, kb_relative_information_score: 4748.1863, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8497, predictive_accuracy: 0.8496, prior_entropy: 0.9998, recall: 0.8496, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8496, kappa: 0.6992, kb_relative_information_score: 4748.1863, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8497, predictive_accuracy: 0.8496, prior_entropy: 0.9998, recall: 0.8496, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.6508, kappa: 0.3022, kb_relative_information_score: 1830.2668, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.6516, predictive_accuracy: 0.6509, prior_entropy: 0.9998, recall: 0.6509, relative_absolute_error: 0.7898, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.721, kappa: 0.442, kb_relative_information_score: 2409.2984, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7213, predictive_accuracy: 0.7209, prior_entropy: 0.9998, recall: 0.7209, relative_absolute_error: 0.734, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.7783, kappa: 0.5566, kb_relative_information_score: 3927.6494, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7784, predictive_accuracy: 0.7783, prior_entropy: 0.9998, recall: 0.7783, relative_absolute_error: 0.5403, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7352, kappa: 0.4703, kb_relative_information_score: 2555.4427, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7352, predictive_accuracy: 0.7352, prior_entropy: 0.9998, recall: 0.7352, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.7357, kappa: 0.4714, kb_relative_information_score: 2497.5178, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7359, predictive_accuracy: 0.7357, prior_entropy: 0.9998, recall: 0.7357, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.7356, kappa: 0.4712, kb_relative_information_score: 3858.0683, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7358, predictive_accuracy: 0.7356, prior_entropy: 0.9998, recall: 0.7356, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5142, root_relative_squared_error: 1.0286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7352, kappa: 0.4703, kb_relative_information_score: 2555.4336, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7352, predictive_accuracy: 0.7352, prior_entropy: 0.9998, recall: 0.7352, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8481, kappa: 0.6962, kb_relative_information_score: 4267.7534, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8481, predictive_accuracy: 0.8481, prior_entropy: 0.9998, recall: 0.8481, relative_absolute_error: 0.5152, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.7357, kappa: 0.4714, kb_relative_information_score: 3860.0692, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7359, predictive_accuracy: 0.7357, prior_entropy: 0.9998, recall: 0.7357, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5141, root_relative_squared_error: 1.0283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.6906, kappa: 0.381, kb_relative_information_score: 3119.7394, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.6906, predictive_accuracy: 0.6906, prior_entropy: 0.9998, recall: 0.6906, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5563, root_relative_squared_error: 1.1127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.7785, kappa: 0.5569, kb_relative_information_score: 3930.0455, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7786, predictive_accuracy: 0.7784, prior_entropy: 0.9998, recall: 0.7784, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7362, kappa: 0.4723, kb_relative_information_score: 2554.6508, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7362, predictive_accuracy: 0.7362, prior_entropy: 0.9998, recall: 0.7362, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7352, kappa: 0.4703, kb_relative_information_score: 2555.4336, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7352, predictive_accuracy: 0.7352, prior_entropy: 0.9998, recall: 0.7352, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8893, kappa: 0.7785, kb_relative_information_score: 5745.5552, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8893, predictive_accuracy: 0.8893, prior_entropy: 0.9998, recall: 0.8893, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.5589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.8124, kappa: 0.625, kb_relative_information_score: 3792.9778, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8149, predictive_accuracy: 0.8129, prior_entropy: 0.9998, recall: 0.8129, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7629, f_measure: 0.7628, kappa: 0.5256, kb_relative_information_score: 4304.2671, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.763, predictive_accuracy: 0.7628, prior_entropy: 0.9998, recall: 0.7628, relative_absolute_error: 0.4745, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.487, root_relative_squared_error: 0.9742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6005, f_measure: 0.6005, kappa: 0.2009, kb_relative_information_score: 1643.0815, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.6006, predictive_accuracy: 0.6005, prior_entropy: 0.9998, recall: 0.6005, relative_absolute_error: 0.7993, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2644, scimark_benchmark: 1959.6455, usercpu_time_millis: 12156.25, usercpu_time_millis_testing: 3218.75, usercpu_time_millis_training: 8937.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.7763, kappa: 0.5525, kb_relative_information_score: 4524.3651, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7764, predictive_accuracy: 0.7762, prior_entropy: 0.9998, recall: 0.7762, relative_absolute_error: 0.4476, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9462, scimark_benchmark: 1631.1992, usercpu_time_millis: 9281.25, usercpu_time_millis_testing: 2000, usercpu_time_millis_training: 7281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6005, f_measure: 0.6005, kappa: 0.2009, kb_relative_information_score: 1643.0815, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.6006, predictive_accuracy: 0.6005, prior_entropy: 0.9998, recall: 0.6005, relative_absolute_error: 0.7993, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2644, scimark_benchmark: 1697.6783, usercpu_time_millis: 10421.875, usercpu_time_millis_testing: 3406.25, usercpu_time_millis_training: 7015.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8893, kappa: 0.7785, kb_relative_information_score: 6377.1906, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8893, predictive_accuracy: 0.8893, prior_entropy: 0.9998, recall: 0.8893, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.6656, scimark_benchmark: 1862.8608, usercpu_time_millis: 6656.25, usercpu_time_millis_testing: 1921.875, usercpu_time_millis_training: 4734.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6005, f_measure: 0.6005, kappa: 0.2009, kb_relative_information_score: 1643.0815, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.6006, predictive_accuracy: 0.6005, prior_entropy: 0.9998, recall: 0.6005, relative_absolute_error: 0.7993, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2644, scimark_benchmark: 1370.1915, usercpu_time_millis: 14570, usercpu_time_millis_testing: 5700, usercpu_time_millis_training: 8870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8893, kappa: 0.7785, kb_relative_information_score: 6377.1906, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8893, predictive_accuracy: 0.8893, prior_entropy: 0.9998, recall: 0.8893, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.6656, scimark_benchmark: 1611.0493, usercpu_time_millis: 12740, usercpu_time_millis_testing: 2810, usercpu_time_millis_training: 9930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.7763, kappa: 0.5525, kb_relative_information_score: 4524.3651, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7764, predictive_accuracy: 0.7762, prior_entropy: 0.9998, recall: 0.7762, relative_absolute_error: 0.4476, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9462, scimark_benchmark: 1367.44, usercpu_time_millis: 4240, usercpu_time_millis_testing: 1550, usercpu_time_millis_training: 2690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.7303, kappa: 0.4651, kb_relative_information_score: 2597.1569, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7395, predictive_accuracy: 0.7318, prior_entropy: 0.9998, recall: 0.7318, relative_absolute_error: 0.7153, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8493, scimark_benchmark: 1908.2191, usercpu_time_millis: 23875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 23859.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7274, kappa: 0.4559, kb_relative_information_score: 2748.1203, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7295, predictive_accuracy: 0.7277, prior_entropy: 0.9998, recall: 0.7277, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8538, scimark_benchmark: 1908.2191, usercpu_time_millis: 21562.5, usercpu_time_millis_training: 21562.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.7361, kappa: 0.4722, kb_relative_information_score: 3866.0719, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7363, predictive_accuracy: 0.7361, prior_entropy: 0.9998, recall: 0.7361, relative_absolute_error: 0.528, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5137, root_relative_squared_error: 1.0276, scimark_benchmark: 1827.4462, usercpu_time_millis: 9046.875, usercpu_time_millis_testing: 1078.125, usercpu_time_millis_training: 7968.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8605, kappa: 0.7209, kb_relative_information_score: 5198.9484, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8605, predictive_accuracy: 0.8605, prior_entropy: 0.9998, recall: 0.8605, relative_absolute_error: 0.3859, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6451, scimark_benchmark: 1394.9883, usercpu_time_millis: 7300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7274, kappa: 0.4559, kb_relative_information_score: 2748.1203, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7295, predictive_accuracy: 0.7277, prior_entropy: 0.9998, recall: 0.7277, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8538, scimark_benchmark: 1760.5198, usercpu_time_millis: 2093.75, usercpu_time_millis_training: 2093.75,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7352, kappa: 0.4703, kb_relative_information_score: 2555.4336, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7352, predictive_accuracy: 0.7352, prior_entropy: 0.9998, recall: 0.7352, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8348, scimark_benchmark: 1247.8008, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.7325, kappa: 0.4679, kb_relative_information_score: 2605.0304, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7384, predictive_accuracy: 0.7334, prior_entropy: 0.9998, recall: 0.7334, relative_absolute_error: 0.7147, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.8497, scimark_benchmark: 1263.087, usercpu_time_millis: 3000, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.736, kappa: 0.4719, kb_relative_information_score: 3864.071, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7361, predictive_accuracy: 0.736, prior_entropy: 0.9998, recall: 0.736, relative_absolute_error: 0.5282, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0279, scimark_benchmark: 1618.1738, usercpu_time_millis: 1640.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.7327, kappa: 0.4652, kb_relative_information_score: 3810.0469, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7327, predictive_accuracy: 0.7327, prior_entropy: 0.9998, recall: 0.7327, relative_absolute_error: 0.5348, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.517, root_relative_squared_error: 1.0342, scimark_benchmark: 1618.1738, usercpu_time_millis: 281.25, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7317, kappa: 0.4631, kb_relative_information_score: 2644.8264, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7317, predictive_accuracy: 0.7317, prior_entropy: 0.9998, recall: 0.7317, relative_absolute_error: 0.7064, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8403, scimark_benchmark: 1744.8652, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.8088, kappa: 0.6176, kb_relative_information_score: 5057.6101, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8089, predictive_accuracy: 0.8088, prior_entropy: 0.9998, recall: 0.8088, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8745, scimark_benchmark: 1744.8652, usercpu_time_millis: 2906.25, usercpu_time_millis_testing: 2875, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.7414, kappa: 0.4831, kb_relative_information_score: 2861.4638, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.742, predictive_accuracy: 0.7415, prior_entropy: 0.9998, recall: 0.7415, relative_absolute_error: 0.6791, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8301, scimark_benchmark: 1744.8652, usercpu_time_millis: 1937.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1921.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7882, kappa: 0.5764, kb_relative_information_score: 3546.9528, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7891, predictive_accuracy: 0.7885, prior_entropy: 0.9998, recall: 0.7885, relative_absolute_error: 0.604, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8096, scimark_benchmark: 1744.8652, usercpu_time_millis: 2375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7739, kappa: 0.5477, kb_relative_information_score: 3744.8185, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7739, predictive_accuracy: 0.7739, prior_entropy: 0.9998, recall: 0.7739, relative_absolute_error: 0.5663, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8268, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.8525, kappa: 0.705, kb_relative_information_score: 4284.7633, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8525, predictive_accuracy: 0.8525, prior_entropy: 0.9998, recall: 0.8525, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6624, scimark_benchmark: 1744.8652, usercpu_time_millis: 3125, usercpu_time_millis_testing: 328.125, usercpu_time_millis_training: 2796.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.7194, kappa: 0.4453, kb_relative_information_score: 2799.5525, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7358, predictive_accuracy: 0.7239, prior_entropy: 0.9998, recall: 0.7239, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9537, scimark_benchmark: 1744.8652, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7802, kappa: 0.5603, kb_relative_information_score: 3953.0446, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7803, predictive_accuracy: 0.7802, prior_entropy: 0.9998, recall: 0.7802, relative_absolute_error: 0.5374, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8357, scimark_benchmark: 1744.8652, usercpu_time_millis: 296.875, usercpu_time_millis_training: 296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7352, kappa: 0.4703, kb_relative_information_score: 2555.4336, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7352, predictive_accuracy: 0.7352, prior_entropy: 0.9998, recall: 0.7352, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8348, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.7357, kappa: 0.4714, kb_relative_information_score: 3860.0692, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7359, predictive_accuracy: 0.7357, prior_entropy: 0.9998, recall: 0.7357, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5141, root_relative_squared_error: 1.0283, scimark_benchmark: 1744.8652, usercpu_time_millis: 2296.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.7327, kappa: 0.4652, kb_relative_information_score: 3810.0469, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7327, predictive_accuracy: 0.7327, prior_entropy: 0.9998, recall: 0.7327, relative_absolute_error: 0.5348, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.517, root_relative_squared_error: 1.0342, scimark_benchmark: 1744.8652, usercpu_time_millis: 281.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.7319, kappa: 0.4673, kb_relative_information_score: 2600.4683, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.739, predictive_accuracy: 0.733, prior_entropy: 0.9998, recall: 0.733, relative_absolute_error: 0.7151, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8495, scimark_benchmark: 1744.8652, usercpu_time_millis: 2281.25, usercpu_time_millis_training: 2281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7317, kappa: 0.4631, kb_relative_information_score: 2644.8264, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7317, predictive_accuracy: 0.7317, prior_entropy: 0.9998, recall: 0.7317, relative_absolute_error: 0.7064, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8403, scimark_benchmark: 1744.8652, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.8088, kappa: 0.6176, kb_relative_information_score: 5057.6101, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8089, predictive_accuracy: 0.8088, prior_entropy: 0.9998, recall: 0.8088, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8745, scimark_benchmark: 1744.8652, usercpu_time_millis: 2843.75, usercpu_time_millis_testing: 2812.5, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.7414, kappa: 0.4831, kb_relative_information_score: 2861.4638, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.742, predictive_accuracy: 0.7415, prior_entropy: 0.9998, recall: 0.7415, relative_absolute_error: 0.6791, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8301, scimark_benchmark: 1744.8652, usercpu_time_millis: 1937.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1921.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.7876, kappa: 0.5753, kb_relative_information_score: 3554.8126, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.789, predictive_accuracy: 0.788, prior_entropy: 0.9998, recall: 0.788, relative_absolute_error: 0.6019, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8115, scimark_benchmark: 1744.8652, usercpu_time_millis: 2328.125, usercpu_time_millis_training: 2328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7739, kappa: 0.5477, kb_relative_information_score: 3743.5795, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7739, predictive_accuracy: 0.7739, prior_entropy: 0.9998, recall: 0.7739, relative_absolute_error: 0.5665, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8267, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8534, kappa: 0.7067, kb_relative_information_score: 4281.9427, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8534, predictive_accuracy: 0.8534, prior_entropy: 0.9998, recall: 0.8534, relative_absolute_error: 0.5135, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6625, scimark_benchmark: 1744.8652, usercpu_time_millis: 7625, usercpu_time_millis_testing: 2093.75, usercpu_time_millis_training: 5531.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.7194, kappa: 0.4453, kb_relative_information_score: 2799.5525, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7358, predictive_accuracy: 0.7239, prior_entropy: 0.9998, recall: 0.7239, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9537, scimark_benchmark: 1744.8652, usercpu_time_millis: 125, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.7805, kappa: 0.561, kb_relative_information_score: 3955.9651, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7807, predictive_accuracy: 0.7805, prior_entropy: 0.9998, recall: 0.7805, relative_absolute_error: 0.5371, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8348, scimark_benchmark: 1744.8652, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7317, kappa: 0.4631, kb_relative_information_score: 2644.8264, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7317, predictive_accuracy: 0.7317, prior_entropy: 0.9998, recall: 0.7317, relative_absolute_error: 0.7064, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8403, scimark_benchmark: 1327.5254, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.7414, kappa: 0.4831, kb_relative_information_score: 2861.4638, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.742, predictive_accuracy: 0.7415, prior_entropy: 0.9998, recall: 0.7415, relative_absolute_error: 0.6791, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8301, scimark_benchmark: 1788.6668, usercpu_time_millis: 2046.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 2015.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.7303, kappa: 0.4651, kb_relative_information_score: 2597.1569, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7395, predictive_accuracy: 0.7318, prior_entropy: 0.9998, recall: 0.7318, relative_absolute_error: 0.7153, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8493, scimark_benchmark: 1788.6668, usercpu_time_millis: 2109.375, usercpu_time_millis_training: 2109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.7359, kappa: 0.4721, kb_relative_information_score: 2821.7599, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7365, predictive_accuracy: 0.736, prior_entropy: 0.9998, recall: 0.736, relative_absolute_error: 0.6834, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.417, root_relative_squared_error: 0.834, scimark_benchmark: 1788.6668, usercpu_time_millis: 1906.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1890.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.7729, kappa: 0.5461, kb_relative_information_score: 3254.1592, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.775, predictive_accuracy: 0.7734, prior_entropy: 0.9998, recall: 0.7734, relative_absolute_error: 0.639, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.832, scimark_benchmark: 1788.6668, usercpu_time_millis: 3078.125, usercpu_time_millis_training: 3078.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.7288, kappa: 0.4612, kb_relative_information_score: 2565.3702, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.736, predictive_accuracy: 0.73, prior_entropy: 0.9998, recall: 0.73, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8527, scimark_benchmark: 1788.6668, usercpu_time_millis: 2015.625, usercpu_time_millis_training: 2015.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.7336, kappa: 0.467, kb_relative_information_score: 2609.729, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7336, predictive_accuracy: 0.7336, prior_entropy: 0.9998, recall: 0.7336, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.843, scimark_benchmark: 1788.6668, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7345, kappa: 0.469, kb_relative_information_score: 3840.0603, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7346, predictive_accuracy: 0.7345, prior_entropy: 0.9998, recall: 0.7345, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5153, root_relative_squared_error: 1.0307, scimark_benchmark: 1788.6668, usercpu_time_millis: 1515.625, usercpu_time_millis_training: 1515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.7357, kappa: 0.4714, kb_relative_information_score: 3860.0692, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7359, predictive_accuracy: 0.7357, prior_entropy: 0.9998, recall: 0.7357, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5141, root_relative_squared_error: 1.0283, scimark_benchmark: 1533.2205, usercpu_time_millis: 1450, usercpu_time_millis_training: 1450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7317, kappa: 0.4631, kb_relative_information_score: 2644.8264, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7317, predictive_accuracy: 0.7317, prior_entropy: 0.9998, recall: 0.7317, relative_absolute_error: 0.7064, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8403, scimark_benchmark: 1117.6152, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.785, kappa: 0.5702, kb_relative_information_score: 3525.9945, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7864, predictive_accuracy: 0.7854, prior_entropy: 0.9998, recall: 0.7854, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8158, scimark_benchmark: 916.1543, usercpu_time_millis: 6030, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8366, kappa: 0.6731, kb_relative_information_score: 4312.9284, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8379, predictive_accuracy: 0.8368, prior_entropy: 0.9998, recall: 0.8368, relative_absolute_error: 0.5012, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.342, root_relative_squared_error: 0.6842, scimark_benchmark: 1447.2612, usercpu_time_millis: 5953.125, usercpu_time_millis_testing: 5921.875, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.7715, kappa: 0.5494, kb_relative_information_score: 4459.8863, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7941, predictive_accuracy: 0.7758, prior_entropy: 0.9998, recall: 0.7758, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8011, scimark_benchmark: 1840.6094, usercpu_time_millis: 4703.125, usercpu_time_millis_testing: 4656.25, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.7971, kappa: 0.5995, kb_relative_information_score: 4884.0372, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8194, predictive_accuracy: 0.8007, prior_entropy: 0.9998, recall: 0.8007, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7439, scimark_benchmark: 1840.6094, usercpu_time_millis: 3750, usercpu_time_millis_testing: 3750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8626, kappa: 0.7252, kb_relative_information_score: 4597.7364, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.864, predictive_accuracy: 0.8628, prior_entropy: 0.9998, recall: 0.8628, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6415, scimark_benchmark: 1873.1108, usercpu_time_millis: 7031.25, usercpu_time_millis_testing: 7015.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.82, kappa: 0.6398, kb_relative_information_score: 4415.6312, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.82, predictive_accuracy: 0.8199, prior_entropy: 0.9998, recall: 0.8199, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7113, scimark_benchmark: 1873.1108, usercpu_time_millis: 4453.125, usercpu_time_millis_testing: 4421.875, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8496, kappa: 0.6992, kb_relative_information_score: 4748.1863, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8497, predictive_accuracy: 0.8496, prior_entropy: 0.9998, recall: 0.8496, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6624, scimark_benchmark: 1873.1108, usercpu_time_millis: 4984.375, usercpu_time_millis_testing: 4984.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.7727, kappa: 0.5453, kb_relative_information_score: 4466.3393, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7727, predictive_accuracy: 0.7727, prior_entropy: 0.9998, recall: 0.7727, relative_absolute_error: 0.4547, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7306, f_measure: 0.7307, kappa: 0.4612, kb_relative_information_score: 3778.0327, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7307, predictive_accuracy: 0.7307, prior_entropy: 0.9998, recall: 0.7307, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5189, root_relative_squared_error: 1.038, scimark_benchmark: 1779.392, usercpu_time_millis: 374.4024, usercpu_time_millis_training: 374.4024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.8508, kappa: 0.7016, kb_relative_information_score: 5746.9098, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8509, predictive_accuracy: 0.8508, prior_entropy: 0.9998, recall: 0.8508, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.7327, kappa: 0.4652, kb_relative_information_score: 3810.0469, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7327, predictive_accuracy: 0.7327, prior_entropy: 0.9998, recall: 0.7327, relative_absolute_error: 0.5348, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.517, root_relative_squared_error: 1.0342, scimark_benchmark: 1779.392, usercpu_time_millis: 280.8018, usercpu_time_millis_training: 280.8018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.7679, kappa: 0.5356, kb_relative_information_score: 3632.5727, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.768, predictive_accuracy: 0.7679, prior_entropy: 0.9998, recall: 0.7679, relative_absolute_error: 0.58, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8318, scimark_benchmark: 1779.392, usercpu_time_millis: 78.0005, usercpu_time_millis_training: 78.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7718, kappa: 0.5435, kb_relative_information_score: 3708.8129, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7718, predictive_accuracy: 0.7719, prior_entropy: 0.9998, recall: 0.7719, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8311, scimark_benchmark: 1779.392, usercpu_time_millis: 62.4004, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.7171, kappa: 0.4408, kb_relative_information_score: 2757.4516, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7339, predictive_accuracy: 0.7217, prior_entropy: 0.9998, recall: 0.7217, relative_absolute_error: 0.6826, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4781, root_relative_squared_error: 0.9564, scimark_benchmark: 1732.2066, usercpu_time_millis: 78.0005, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.7194, kappa: 0.4453, kb_relative_information_score: 2799.5525, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.7358, predictive_accuracy: 0.7239, prior_entropy: 0.9998, recall: 0.7239, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9537, scimark_benchmark: 1732.2066, usercpu_time_millis: 78.0005, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.866, kappa: 0.7319, kb_relative_information_score: 5995.0203, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.866, predictive_accuracy: 0.866, prior_entropy: 0.9998, recall: 0.866, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.85, kappa: 0.6999, kb_relative_information_score: 5732.9036, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9998, recall: 0.85, relative_absolute_error: 0.3001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7748,

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

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From your own software

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

OpenML APIs