OpenML
Supervised Classification on rmftsa_sleepdata

Supervised Classification on rmftsa_sleepdata

Task 4279 Supervised Classification rmftsa_sleepdata 178 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6558, f_measure: 0.3967, kappa: 0.2199, kb_relative_information_score: 1606.8493, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3686, predictive_accuracy: 0.4864, prior_entropy: 1.8507, recall: 0.4864, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.9557, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.4616, kappa: 0.2604, kb_relative_information_score: 2099.0064, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4527, predictive_accuracy: 0.5091, prior_entropy: 1.8507, recall: 0.5091, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.931, scimark_benchmark: 934.3687, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.4001, kappa: 0.2248, kb_relative_information_score: 1679.3638, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3719, predictive_accuracy: 0.4889, prior_entropy: 1.8507, recall: 0.4889, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9513, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.488, kappa: 0.2887, kb_relative_information_score: 2673.0268, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4789, predictive_accuracy: 0.522, prior_entropy: 1.8507, recall: 0.522, relative_absolute_error: 0.8175, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9257, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.4147, kappa: 0.2331, kb_relative_information_score: 1694.0767, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3919, predictive_accuracy: 0.4955, prior_entropy: 1.8507, recall: 0.4955, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.9527, scimark_benchmark: 927.2917, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.3801, kappa: 0.1678, kb_relative_information_score: 2509.9524, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.37, predictive_accuracy: 0.45, prior_entropy: 1.8507, recall: 0.45, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.2512, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.3801, kappa: 0.1678, kb_relative_information_score: 2509.9524, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.37, predictive_accuracy: 0.45, prior_entropy: 1.8507, recall: 0.45, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.2512, scimark_benchmark: 941.3847, usercpu_time_millis: 320, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.408, kappa: 0.2193, kb_relative_information_score: 1529.5602, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3893, predictive_accuracy: 0.4853, prior_entropy: 1.8507, recall: 0.4853, relative_absolute_error: 0.9048, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.9583, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.4725, kappa: 0.2512, kb_relative_information_score: 2894.9713, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4669, predictive_accuracy: 0.4817, prior_entropy: 1.8507, recall: 0.4817, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.0125, scimark_benchmark: 937.5117, usercpu_time_millis: 290, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6558, f_measure: 0.3967, kappa: 0.2199, kb_relative_information_score: 1606.8493, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3686, predictive_accuracy: 0.4864, prior_entropy: 1.8507, recall: 0.4864, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.9557, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.4616, kappa: 0.2604, kb_relative_information_score: 2099.0064, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4527, predictive_accuracy: 0.5091, prior_entropy: 1.8507, recall: 0.5091, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.931, scimark_benchmark: 938.1282, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.3801, kappa: 0.1678, kb_relative_information_score: 2509.9524, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.37, predictive_accuracy: 0.45, prior_entropy: 1.8507, recall: 0.45, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.2512, scimark_benchmark: 927.2882, usercpu_time_millis: 310, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.3801, kappa: 0.1678, kb_relative_information_score: 2509.9524, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.37, predictive_accuracy: 0.45, prior_entropy: 1.8507, recall: 0.45, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.2512, scimark_benchmark: 906.0979, usercpu_time_millis: 320, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.4001, kappa: 0.2248, kb_relative_information_score: 1679.3638, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3719, predictive_accuracy: 0.4889, prior_entropy: 1.8507, recall: 0.4889, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9513, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.4001, kappa: 0.2248, kb_relative_information_score: 1679.3638, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3719, predictive_accuracy: 0.4889, prior_entropy: 1.8507, recall: 0.4889, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9513, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.4001, kappa: 0.2248, kb_relative_information_score: 1679.3638, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3719, predictive_accuracy: 0.4889, prior_entropy: 1.8507, recall: 0.4889, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9513, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.4001, kappa: 0.2248, kb_relative_information_score: 1679.3638, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3719, predictive_accuracy: 0.4889, prior_entropy: 1.8507, recall: 0.4889, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9513, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.488, kappa: 0.2887, kb_relative_information_score: 2673.0268, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4789, predictive_accuracy: 0.522, prior_entropy: 1.8507, recall: 0.522, relative_absolute_error: 0.8175, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9257, scimark_benchmark: 903.2737, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.4001, kappa: 0.2248, kb_relative_information_score: 1679.3638, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3719, predictive_accuracy: 0.4889, prior_entropy: 1.8507, recall: 0.4889, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9513, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.4725, kappa: 0.2512, kb_relative_information_score: 2894.9713, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4669, predictive_accuracy: 0.4817, prior_entropy: 1.8507, recall: 0.4817, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.0125, scimark_benchmark: 730.6551, usercpu_time_millis: 440, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.4826, kappa: 0.2772, kb_relative_information_score: 2499.7539, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4747, predictive_accuracy: 0.5125, prior_entropy: 1.8507, recall: 0.5125, relative_absolute_error: 0.8379, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.9563, scimark_benchmark: 904.5548, usercpu_time_millis: 2120, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 1740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7058, f_measure: 0.4828, kappa: 0.2773, kb_relative_information_score: 2501.3737, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.475, predictive_accuracy: 0.5126, prior_entropy: 1.8507, recall: 0.5126, relative_absolute_error: 0.8378, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9564, scimark_benchmark: 933.4823, usercpu_time_millis: 1090, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.4824, kappa: 0.2771, kb_relative_information_score: 2503.9909, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4745, predictive_accuracy: 0.5124, prior_entropy: 1.8507, recall: 0.5124, relative_absolute_error: 0.8376, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.401, root_relative_squared_error: 0.9566, scimark_benchmark: 938.8535, usercpu_time_millis: 530, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.4833, kappa: 0.2789, kb_relative_information_score: 2506.5412, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4755, predictive_accuracy: 0.5139, prior_entropy: 1.8507, recall: 0.5139, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.401, root_relative_squared_error: 0.9568, scimark_benchmark: 906.8974, usercpu_time_millis: 280, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, f_measure: 0.4818, kappa: 0.2762, kb_relative_information_score: 2495.3197, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4741, predictive_accuracy: 0.512, prior_entropy: 1.8507, recall: 0.512, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.402, root_relative_squared_error: 0.9591, scimark_benchmark: 921.466, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.2232, kb_relative_information_score: 3.8405, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.1557, predictive_accuracy: 0.3945, prior_entropy: 1.8507, recall: 0.3945, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4191, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.3709, kappa: 0.1698, kb_relative_information_score: 847.3294, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3106, predictive_accuracy: 0.4607, prior_entropy: 1.8507, recall: 0.4607, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.9815, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.3709, kappa: 0.1698, kb_relative_information_score: 847.3294, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3106, predictive_accuracy: 0.4607, prior_entropy: 1.8507, recall: 0.4607, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.9815, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.3709, kappa: 0.1698, kb_relative_information_score: 847.3294, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3106, predictive_accuracy: 0.4607, prior_entropy: 1.8507, recall: 0.4607, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.9815, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.3709, kappa: 0.1698, kb_relative_information_score: 847.3294, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3106, predictive_accuracy: 0.4607, prior_entropy: 1.8507, recall: 0.4607, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.9815, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.3709, kappa: 0.1698, kb_relative_information_score: 847.3294, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3106, predictive_accuracy: 0.4607, prior_entropy: 1.8507, recall: 0.4607, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.9815, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2232, kb_relative_information_score: 1629.3562, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.1557, predictive_accuracy: 0.3945, prior_entropy: 1.8507, recall: 0.3945, relative_absolute_error: 0.8614, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5502, root_relative_squared_error: 1.3127, scimark_benchmark: 922.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.4565, kappa: 0.2852, kb_relative_information_score: 2103.2294, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4666, predictive_accuracy: 0.5327, prior_entropy: 1.8507, recall: 0.5327, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.9231, scimark_benchmark: 922.8232, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.4917, kappa: 0.2933, kb_relative_information_score: 2154.3664, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4858, predictive_accuracy: 0.5245, prior_entropy: 1.8507, recall: 0.5245, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9295, scimark_benchmark: 894.7131, usercpu_time_millis: 1710, usercpu_time_millis_training: 1710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.3619, kappa: 0.1517, kb_relative_information_score: 775.7054, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3072, predictive_accuracy: 0.4587, prior_entropy: 1.8507, recall: 0.4587, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.9751, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6558, f_measure: 0.3967, kappa: 0.2199, kb_relative_information_score: 1606.8493, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3686, predictive_accuracy: 0.4864, prior_entropy: 1.8507, recall: 0.4864, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.9557, scimark_benchmark: 934.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.4616, kappa: 0.2604, kb_relative_information_score: 2099.0064, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4527, predictive_accuracy: 0.5091, prior_entropy: 1.8507, recall: 0.5091, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.931, scimark_benchmark: 938.9926, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.4001, kappa: 0.2248, kb_relative_information_score: 1679.3638, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3719, predictive_accuracy: 0.4889, prior_entropy: 1.8507, recall: 0.4889, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9513, scimark_benchmark: 1358.6198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.4147, kappa: 0.2331, kb_relative_information_score: 1694.0767, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3919, predictive_accuracy: 0.4955, prior_entropy: 1.8507, recall: 0.4955, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.9527, scimark_benchmark: 1313.11, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.4725, kappa: 0.2512, kb_relative_information_score: 2894.9713, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4669, predictive_accuracy: 0.4817, prior_entropy: 1.8507, recall: 0.4817, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.0125, scimark_benchmark: 1354.5533, usercpu_time_millis: 280, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6558, f_measure: 0.3967, kappa: 0.2199, kb_relative_information_score: 1606.8493, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3686, predictive_accuracy: 0.4864, prior_entropy: 1.8507, recall: 0.4864, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.9557, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.4616, kappa: 0.2604, kb_relative_information_score: 2099.0064, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4527, predictive_accuracy: 0.5091, prior_entropy: 1.8507, recall: 0.5091, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.931, scimark_benchmark: 1364.991, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.4001, kappa: 0.2248, kb_relative_information_score: 1679.3638, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3719, predictive_accuracy: 0.4889, prior_entropy: 1.8507, recall: 0.4889, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9513, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.4001, kappa: 0.2248, kb_relative_information_score: 1679.3638, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3719, predictive_accuracy: 0.4889, prior_entropy: 1.8507, recall: 0.4889, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9513, scimark_benchmark: 1311.7317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.488, kappa: 0.2887, kb_relative_information_score: 2673.0268, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4789, predictive_accuracy: 0.522, prior_entropy: 1.8507, recall: 0.522, relative_absolute_error: 0.8175, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9257, scimark_benchmark: 1337.7902, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.408, kappa: 0.2193, kb_relative_information_score: 1529.5602, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3893, predictive_accuracy: 0.4853, prior_entropy: 1.8507, recall: 0.4853, relative_absolute_error: 0.9048, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.9583, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.4001, kappa: 0.2248, kb_relative_information_score: 1679.3638, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3719, predictive_accuracy: 0.4889, prior_entropy: 1.8507, recall: 0.4889, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9513, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.408, kappa: 0.2193, kb_relative_information_score: 1529.5602, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3893, predictive_accuracy: 0.4853, prior_entropy: 1.8507, recall: 0.4853, relative_absolute_error: 0.9048, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.9583, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.4147, kappa: 0.2331, kb_relative_information_score: 1694.0767, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3919, predictive_accuracy: 0.4955, prior_entropy: 1.8507, recall: 0.4955, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.9527, scimark_benchmark: 940.3347, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.4725, kappa: 0.2512, kb_relative_information_score: 2894.9713, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4669, predictive_accuracy: 0.4817, prior_entropy: 1.8507, recall: 0.4817, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.0125, scimark_benchmark: 942.9708, usercpu_time_millis: 320, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.4047, kappa: 0.18, kb_relative_information_score: 1882.9073, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3916, predictive_accuracy: 0.4575, prior_entropy: 1.8507, recall: 0.4575, relative_absolute_error: 0.8888, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.9729, scimark_benchmark: 1326.8946, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, f_measure: 0.3787, kappa: 0.1838, kb_relative_information_score: 1138.7783, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3173, predictive_accuracy: 0.4716, prior_entropy: 1.8507, recall: 0.4716, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9648, scimark_benchmark: 1384.4422, usercpu_time_millis: 630, usercpu_time_millis_testing: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.3801, kappa: 0.1678, kb_relative_information_score: 2509.9524, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.37, predictive_accuracy: 0.45, prior_entropy: 1.8507, recall: 0.45, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.2512, scimark_benchmark: 1315.933, usercpu_time_millis: 290, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.408, kappa: 0.2193, kb_relative_information_score: 1529.5602, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3893, predictive_accuracy: 0.4853, prior_entropy: 1.8507, recall: 0.4853, relative_absolute_error: 0.9048, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.9583, scimark_benchmark: 1348.2476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.4001, kappa: 0.2248, kb_relative_information_score: 1679.3638, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3719, predictive_accuracy: 0.4889, prior_entropy: 1.8507, recall: 0.4889, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9513, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.4001, kappa: 0.2248, kb_relative_information_score: 1679.3638, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3719, predictive_accuracy: 0.4889, prior_entropy: 1.8507, recall: 0.4889, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9513, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.4001, kappa: 0.2248, kb_relative_information_score: 1679.3638, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3719, predictive_accuracy: 0.4889, prior_entropy: 1.8507, recall: 0.4889, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9513, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.4001, kappa: 0.2248, kb_relative_information_score: 1679.3638, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3719, predictive_accuracy: 0.4889, prior_entropy: 1.8507, recall: 0.4889, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9513, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.4147, kappa: 0.2331, kb_relative_information_score: 1694.0767, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3919, predictive_accuracy: 0.4955, prior_entropy: 1.8507, recall: 0.4955, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.9527, scimark_benchmark: 1288.1375, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.4725, kappa: 0.2512, kb_relative_information_score: 2894.9713, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4669, predictive_accuracy: 0.4817, prior_entropy: 1.8507, recall: 0.4817, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.0125, scimark_benchmark: 1260.1387, usercpu_time_millis: 290, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 220,

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