OpenML
Supervised Classification on pollen

Supervised Classification on pollen

Task 3735 Supervised Classification pollen 1538 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: 0.5016, f_measure: 0.4951, kappa: 0.0031, kb_relative_information_score: 12, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.5016, predictive_accuracy: 0.5016, prior_entropy: 1, recall: 0.5016, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.706, root_relative_squared_error: 1.412, usercpu_time_millis: 1.359, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.5034, kappa: 0.0068, kb_relative_information_score: 26, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.5034, predictive_accuracy: 0.5034, prior_entropy: 1, recall: 0.5034, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7047, root_relative_squared_error: 1.4094, usercpu_time_millis: 3.242, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 3.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.4991, kappa: -0.001, kb_relative_information_score: -4, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4995, predictive_accuracy: 0.4995, prior_entropy: 1, recall: 0.4995, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7075, root_relative_squared_error: 1.4149, usercpu_time_millis: 65.293, usercpu_time_millis_testing: 4.389, usercpu_time_millis_training: 60.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.487, f_measure: 0.4849, kappa: -0.026, kb_relative_information_score: -100, mean_absolute_error: 0.513, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4868, predictive_accuracy: 0.487, prior_entropy: 1, recall: 0.487, relative_absolute_error: 1.026, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7162, root_relative_squared_error: 1.4325, usercpu_time_millis: 2.144, usercpu_time_millis_testing: 1.948, usercpu_time_millis_training: 0.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.488, kappa: -0.0234, kb_relative_information_score: -90, mean_absolute_error: 0.5117, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4883, predictive_accuracy: 0.4883, prior_entropy: 1, recall: 0.4883, relative_absolute_error: 1.0234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7153, root_relative_squared_error: 1.4307, usercpu_time_millis: 11.65, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 11.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4906, f_measure: 0.4906, kappa: -0.0187, kb_relative_information_score: -72, mean_absolute_error: 0.5094, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4906, predictive_accuracy: 0.4906, prior_entropy: 1, recall: 0.4906, relative_absolute_error: 1.0187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7137, root_relative_squared_error: 1.4274, usercpu_time_millis: 0.719, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.4957, kappa: -0.0083, kb_relative_information_score: -32, mean_absolute_error: 0.5042, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4958, predictive_accuracy: 0.4958, prior_entropy: 1, recall: 0.4958, relative_absolute_error: 1.0083, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.71, root_relative_squared_error: 1.4201, usercpu_time_millis: 5.532, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 5.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4906, f_measure: 0.4906, kappa: -0.0187, kb_relative_information_score: -72, mean_absolute_error: 0.5094, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4906, predictive_accuracy: 0.4906, prior_entropy: 1, recall: 0.4906, relative_absolute_error: 1.0187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7137, root_relative_squared_error: 1.4274, usercpu_time_millis: 0.808, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4906, f_measure: 0.4906, kappa: -0.0187, kb_relative_information_score: -72, mean_absolute_error: 0.5094, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4906, predictive_accuracy: 0.4906, prior_entropy: 1, recall: 0.4906, relative_absolute_error: 1.0187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7137, root_relative_squared_error: 1.4274, usercpu_time_millis: 0.094, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.4827, kappa: -0.0296, kb_relative_information_score: -114, mean_absolute_error: 0.5148, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4849, predictive_accuracy: 0.4852, prior_entropy: 1, recall: 0.4852, relative_absolute_error: 1.0296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7175, root_relative_squared_error: 1.435, usercpu_time_millis: 15.188, usercpu_time_millis_testing: 3.231, usercpu_time_millis_training: 11.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4906, f_measure: 0.4906, kappa: -0.0187, kb_relative_information_score: -72, mean_absolute_error: 0.5094, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4906, predictive_accuracy: 0.4906, prior_entropy: 1, recall: 0.4906, relative_absolute_error: 1.0187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7137, root_relative_squared_error: 1.4274, usercpu_time_millis: 0.544, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.4943, kappa: -0.0114, kb_relative_information_score: -44, mean_absolute_error: 0.5057, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4943, predictive_accuracy: 0.4943, prior_entropy: 1, recall: 0.4943, relative_absolute_error: 1.0114, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7111, root_relative_squared_error: 1.4223, usercpu_time_millis: 0.19, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4917, f_measure: 0.4916, kappa: -0.0166, kb_relative_information_score: -64, mean_absolute_error: 0.5083, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4917, predictive_accuracy: 0.4917, prior_entropy: 1, recall: 0.4917, relative_absolute_error: 1.0166, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.713, root_relative_squared_error: 1.4259, usercpu_time_millis: 0.649, usercpu_time_millis_testing: 0.632, usercpu_time_millis_training: 0.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.499, kappa: -0.0005, kb_relative_information_score: -2, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4997, predictive_accuracy: 0.4997, prior_entropy: 1, recall: 0.4997, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7073, root_relative_squared_error: 1.4146, usercpu_time_millis: 2.81, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 2.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4906, f_measure: 0.4906, kappa: -0.0187, kb_relative_information_score: -72, mean_absolute_error: 0.5094, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4906, predictive_accuracy: 0.4906, prior_entropy: 1, recall: 0.4906, relative_absolute_error: 1.0187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7137, root_relative_squared_error: 1.4274, usercpu_time_millis: 9.239, usercpu_time_millis_testing: 1.844, usercpu_time_millis_training: 7.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4826, f_measure: 0.4826, kappa: -0.0348, kb_relative_information_score: -134, mean_absolute_error: 0.5174, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4826, predictive_accuracy: 0.4826, prior_entropy: 1, recall: 0.4826, relative_absolute_error: 1.0348, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7193, root_relative_squared_error: 1.4386, usercpu_time_millis: 12.752, usercpu_time_millis_testing: 1.772, usercpu_time_millis_training: 10.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -8, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, recall: 0.499, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7078, root_relative_squared_error: 1.4157, usercpu_time_millis: 1.705, usercpu_time_millis_testing: 0.607, usercpu_time_millis_training: 1.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.4976, kappa: -0.0047, kb_relative_information_score: -18, mean_absolute_error: 0.5023, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4977, predictive_accuracy: 0.4977, prior_entropy: 1, recall: 0.4977, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7088, root_relative_squared_error: 1.4175, usercpu_time_millis: 4.052, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 4.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.4893, kappa: -0.0104, kb_relative_information_score: -40, mean_absolute_error: 0.5052, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4946, predictive_accuracy: 0.4948, prior_entropy: 1, recall: 0.4948, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7108, root_relative_squared_error: 1.4215, usercpu_time_millis: 0.461, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 0.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.488, f_measure: 0.4482, kappa: -0.0239, kb_relative_information_score: -92, mean_absolute_error: 0.512, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4832, predictive_accuracy: 0.488, prior_entropy: 1, recall: 0.488, relative_absolute_error: 1.0239, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7155, root_relative_squared_error: 1.431, usercpu_time_millis: 1.702, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.4783, kappa: -0.0036, kb_relative_information_score: -14, mean_absolute_error: 0.5018, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4979, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7084, root_relative_squared_error: 1.4168, usercpu_time_millis: 1.851, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 1.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -8, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, recall: 0.499, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7078, root_relative_squared_error: 1.4157, usercpu_time_millis: 1.202, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 1.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.4908, kappa: -0.0182, kb_relative_information_score: -70, mean_absolute_error: 0.5091, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4909, predictive_accuracy: 0.4909, prior_entropy: 1, recall: 0.4909, relative_absolute_error: 1.0182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7135, root_relative_squared_error: 1.427, usercpu_time_millis: 620.703, usercpu_time_millis_testing: 82.18, usercpu_time_millis_training: 538.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.4961, kappa: -0.0078, kb_relative_information_score: -30, mean_absolute_error: 0.5039, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4961, predictive_accuracy: 0.4961, prior_entropy: 1, recall: 0.4961, relative_absolute_error: 1.0078, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7099, root_relative_squared_error: 1.4197, usercpu_time_millis: 416.745, usercpu_time_millis_testing: 5.238, usercpu_time_millis_training: 411.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -8, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, recall: 0.499, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7078, root_relative_squared_error: 1.4157, usercpu_time_millis: 6.427, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 6.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4906, f_measure: 0.4906, kappa: -0.0187, kb_relative_information_score: -72, mean_absolute_error: 0.5094, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4906, predictive_accuracy: 0.4906, prior_entropy: 1, recall: 0.4906, relative_absolute_error: 1.0187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7137, root_relative_squared_error: 1.4274, usercpu_time_millis: 0.704, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.4897, kappa: -0.0192, kb_relative_information_score: -74, mean_absolute_error: 0.5096, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4903, predictive_accuracy: 0.4904, prior_entropy: 1, recall: 0.4904, relative_absolute_error: 1.0192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7139, root_relative_squared_error: 1.4277, usercpu_time_millis: 7.543, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 7.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.4896, kappa: -0.0198, kb_relative_information_score: -76, mean_absolute_error: 0.5099, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4901, predictive_accuracy: 0.4901, prior_entropy: 1, recall: 0.4901, relative_absolute_error: 1.0198, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7141, root_relative_squared_error: 1.4281, usercpu_time_millis: 72.568, usercpu_time_millis_testing: 1.817, usercpu_time_millis_training: 70.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4888, f_measure: 0.4887, kappa: -0.0223, kb_relative_information_score: -86, mean_absolute_error: 0.5112, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4888, predictive_accuracy: 0.4888, prior_entropy: 1, recall: 0.4888, relative_absolute_error: 1.0223, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.715, root_relative_squared_error: 1.4299, usercpu_time_millis: 14.153, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 13.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -0.0033, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, recall: 0.499, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5024, f_measure: 0.4818, kappa: 0.0099, kb_relative_information_score: 11.3, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.506, predictive_accuracy: 0.5049, prior_entropy: 1, recall: 0.5049, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 972.587, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.4541, kappa: -0.0078, kb_relative_information_score: 8.4398, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4944, predictive_accuracy: 0.4961, prior_entropy: 1, recall: 0.4961, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0062, scimark_benchmark: 851.2074, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -0.0033, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, recall: 0.499, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -0.0033, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, recall: 0.499, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -0.0033, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, recall: 0.499, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5064, f_measure: 0.5013, kappa: 0.0026, kb_relative_information_score: 15.828, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.5013, predictive_accuracy: 0.5013, prior_entropy: 1, recall: 0.5013, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5172, root_relative_squared_error: 1.0344, scimark_benchmark: 941.6675, usercpu_time_millis: 430, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -0.0033, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, recall: 0.499, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 905.2959,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.5001, kappa: 0.001, kb_relative_information_score: 4, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.5005, predictive_accuracy: 0.5005, prior_entropy: 1, recall: 0.5005, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7067, root_relative_squared_error: 1.4135, scimark_benchmark: 906.0979,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.5001, kappa: 0.001, kb_relative_information_score: 4, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.5005, predictive_accuracy: 0.5005, prior_entropy: 1, recall: 0.5005, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7067, root_relative_squared_error: 1.4135, scimark_benchmark: 917.407, usercpu_time_millis: 5120, usercpu_time_millis_testing: 1870, usercpu_time_millis_training: 3250,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5064, f_measure: 0.5013, kappa: 0.0026, kb_relative_information_score: 15.828, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.5013, predictive_accuracy: 0.5013, prior_entropy: 1, recall: 0.5013, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5172, root_relative_squared_error: 1.0344, scimark_benchmark: 946.9304, usercpu_time_millis: 420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4794, f_measure: 0.4773, kappa: -0.0379, kb_relative_information_score: -8.0262, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4805, predictive_accuracy: 0.481, prior_entropy: 1, recall: 0.481, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0032, scimark_benchmark: 938.5476, usercpu_time_millis: 258950, usercpu_time_millis_testing: 1450, usercpu_time_millis_training: 257500,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4893, f_measure: 0.4828, kappa: -0.0343, kb_relative_information_score: -23.5792, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4828, predictive_accuracy: 0.4828, prior_entropy: 1, recall: 0.4828, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.52, root_relative_squared_error: 1.04, scimark_benchmark: 928.8135, usercpu_time_millis: 4250, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 3790,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.5001, kappa: 0.001, kb_relative_information_score: 4, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.5005, predictive_accuracy: 0.5005, prior_entropy: 1, recall: 0.5005, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7067, root_relative_squared_error: 1.4135, scimark_benchmark: 1324.1205, usercpu_time_millis: 4230, usercpu_time_millis_testing: 1590, usercpu_time_millis_training: 2640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.5001, kappa: 0.001, kb_relative_information_score: 4, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.5005, predictive_accuracy: 0.5005, prior_entropy: 1, recall: 0.5005, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7067, root_relative_squared_error: 1.4135, scimark_benchmark: 1292.514, usercpu_time_millis: 4070, usercpu_time_millis_testing: 1640, usercpu_time_millis_training: 2430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -0.0033, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, recall: 0.499, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1327.5842, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -0.0033, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, recall: 0.499, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1295.609, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -0.0033, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, recall: 0.499, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -0.0033, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, recall: 0.499, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1346.2927, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs