OpenML
Supervised Data Stream Classification on BNG(sonar)

Supervised Data Stream Classification on BNG(sonar)

Task 2160 Supervised Data Stream Classification BNG(sonar) 290 runs submitted
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  • binstreams streamensembles streams study_11 study_16
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0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: nominal value not declared in header, read Token[0], line 14
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Problem getting URL, status 404: https://www.openml.org/data/v1/download/4642885/Run_1847122_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Problem getting URL, status 404: https://www.openml.org/data/v1/download/4642723/Run_1847042_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Problem getting URL, status 404: https://www.openml.org/data/v1/download/4642592/Run_1846977_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Problem getting URL, status 404: https://www.openml.org/data/v1/download/4642502/Run_1846932_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Problem getting URL, status 404: https://www.openml.org/data/v1/download/4642348/Run_1846855_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Problem getting URL, status 404: https://www.openml.org/data/v1/download/4642192/Run_1846777_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Problem getting URL, status 404: https://www.openml.org/data/v1/download/4642063/Run_1846713_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8056, kappa: 0.6091, kb_relative_information_score: 522276.5581, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8059, predictive_accuracy: 0.8059, prior_entropy: 1, recall: 0.8059, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.8056, kappa: 0.6091, kb_relative_information_score: 526283.7211, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8059, predictive_accuracy: 0.8059, prior_entropy: 1, recall: 0.8059, relative_absolute_error: 0.4916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8091, kappa: 0.6165, kb_relative_information_score: 541903.059, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8091, predictive_accuracy: 0.8091, prior_entropy: 1, recall: 0.8091, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8036, kappa: 0.6054, kb_relative_information_score: 551633.8947, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8035, predictive_accuracy: 0.8036, prior_entropy: 1, recall: 0.8036, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8117, kappa: 0.6215, kb_relative_information_score: 560029.6817, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8117, predictive_accuracy: 0.8118, prior_entropy: 1, recall: 0.8118, relative_absolute_error: 0.4484, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.7732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.805, kappa: 0.6081, kb_relative_information_score: 570664.2596, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.805, predictive_accuracy: 0.8051, prior_entropy: 1, recall: 0.8051, relative_absolute_error: 0.4351, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.7839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.8093, kappa: 0.6168, kb_relative_information_score: 586814.3771, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8094, predictive_accuracy: 0.8095, prior_entropy: 1, recall: 0.8095, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.8093, kappa: 0.6168, kb_relative_information_score: 618976, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8094, predictive_accuracy: 0.8095, prior_entropy: 1, recall: 0.8095, relative_absolute_error: 0.381, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8056, kappa: 0.6091, kb_relative_information_score: 522276.5581, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8059, predictive_accuracy: 0.8059, prior_entropy: 1, recall: 0.8059, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.7994, kappa: 0.5985, kb_relative_information_score: 540027.1132, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8017, predictive_accuracy: 0.7992, prior_entropy: 1, recall: 0.7992, relative_absolute_error: 0.4732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.8036, kappa: 0.6054, kb_relative_information_score: 550255.3872, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8035, predictive_accuracy: 0.8036, prior_entropy: 1, recall: 0.8036, relative_absolute_error: 0.4604, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.7978, kappa: 0.5961, kb_relative_information_score: 558743.098, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8015, predictive_accuracy: 0.7977, prior_entropy: 1, recall: 0.7977, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.805, kappa: 0.6081, kb_relative_information_score: 569543.0166, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.805, predictive_accuracy: 0.8051, prior_entropy: 1, recall: 0.8051, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.7851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.7924, kappa: 0.5879, kb_relative_information_score: 585841, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8023, predictive_accuracy: 0.7927, prior_entropy: 1, recall: 0.7927, relative_absolute_error: 0.4142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.8094, kappa: 0.6169, kb_relative_information_score: 619000, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8094, predictive_accuracy: 0.8095, prior_entropy: 1, recall: 0.8095, relative_absolute_error: 0.381, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.8093, kappa: 0.6168, kb_relative_information_score: 618936, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8093, predictive_accuracy: 0.8095, prior_entropy: 1, recall: 0.8095, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.8093, kappa: 0.6168, kb_relative_information_score: 618942, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8093, predictive_accuracy: 0.8095, prior_entropy: 1, recall: 0.8095, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.8094, kappa: 0.6169, kb_relative_information_score: 619000, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8094, predictive_accuracy: 0.8095, prior_entropy: 1, recall: 0.8095, relative_absolute_error: 0.381, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.801, kappa: 0.6002, kb_relative_information_score: 602378, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8011, predictive_accuracy: 0.8012, prior_entropy: 1, recall: 0.8012, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7725, kappa: 0.5429, kb_relative_information_score: 545412, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7725, predictive_accuracy: 0.7727, prior_entropy: 1, recall: 0.7727, relative_absolute_error: 0.4546, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.8093, kappa: 0.6168, kb_relative_information_score: 618976, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8094, predictive_accuracy: 0.8095, prior_entropy: 1, recall: 0.8095, relative_absolute_error: 0.381, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.8091, kappa: 0.6164, kb_relative_information_score: 618566, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8092, predictive_accuracy: 0.8093, prior_entropy: 1, recall: 0.8093, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.809, kappa: 0.6162, kb_relative_information_score: 618312, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.809, predictive_accuracy: 0.8092, prior_entropy: 1, recall: 0.8092, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.8737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.8091, kappa: 0.6163, kb_relative_information_score: 618404, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8091, predictive_accuracy: 0.8092, prior_entropy: 1, recall: 0.8092, relative_absolute_error: 0.3816, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8395, kappa: 0.6773, kb_relative_information_score: 504843.2443, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.84, predictive_accuracy: 0.8398, prior_entropy: 1, recall: 0.8398, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.6863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.7141, kappa: 0.4256, kb_relative_information_score: 425686.2274, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.714, predictive_accuracy: 0.7141, prior_entropy: 1, recall: 0.7141, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4751, root_relative_squared_error: 0.9502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.7185, kappa: 0.4344, kb_relative_information_score: 430010.4676, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7184, predictive_accuracy: 0.7185, prior_entropy: 1, recall: 0.7185, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4558, root_relative_squared_error: 0.9117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.7264, kappa: 0.4502, kb_relative_information_score: 433716.3037, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7263, predictive_accuracy: 0.7264, prior_entropy: 1, recall: 0.7264, relative_absolute_error: 0.5765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.8846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7336, kappa: 0.4648, kb_relative_information_score: 436258.9545, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7336, predictive_accuracy: 0.7338, prior_entropy: 1, recall: 0.7338, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7152, kappa: 0.429, kb_relative_information_score: 175606.5339, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7162, predictive_accuracy: 0.7149, prior_entropy: 1, recall: 0.7149, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.8093, kappa: 0.6169, kb_relative_information_score: 618978, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8094, predictive_accuracy: 0.8095, prior_entropy: 1, recall: 0.8095, relative_absolute_error: 0.381, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7913, kappa: 0.5806, kb_relative_information_score: 582808, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7913, predictive_accuracy: 0.7914, prior_entropy: 1, recall: 0.7914, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8388, kappa: 0.676, kb_relative_information_score: 503522.1841, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8393, predictive_accuracy: 0.8391, prior_entropy: 1, recall: 0.8391, relative_absolute_error: 0.5358, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.762, kappa: 0.5218, kb_relative_information_score: 524298, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.762, predictive_accuracy: 0.7621, prior_entropy: 1, recall: 0.7621, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.8091, kappa: 0.6163, kb_relative_information_score: 618406, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8091, predictive_accuracy: 0.8092, prior_entropy: 1, recall: 0.8092, relative_absolute_error: 0.3816, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.797, kappa: 0.5922, kb_relative_information_score: 532581.8945, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7969, predictive_accuracy: 0.797, prior_entropy: 1, recall: 0.797, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.7812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.797, kappa: 0.5922, kb_relative_information_score: 535771.1939, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7969, predictive_accuracy: 0.797, prior_entropy: 1, recall: 0.797, relative_absolute_error: 0.4756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8034, kappa: 0.6051, kb_relative_information_score: 550665.7776, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8034, predictive_accuracy: 0.8035, prior_entropy: 1, recall: 0.8035, relative_absolute_error: 0.4568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.7973, kappa: 0.5928, kb_relative_information_score: 561440.6745, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7973, predictive_accuracy: 0.7974, prior_entropy: 1, recall: 0.7974, relative_absolute_error: 0.4434, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.7979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.7997, kappa: 0.5975, kb_relative_information_score: 577634.4071, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7998, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.7997, kappa: 0.5975, kb_relative_information_score: 599930, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7998, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.8945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.797, kappa: 0.5922, kb_relative_information_score: 532581.8945, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7969, predictive_accuracy: 0.797, prior_entropy: 1, recall: 0.797, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.7812,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.7973, kappa: 0.5928, kb_relative_information_score: 560578.727, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7973, predictive_accuracy: 0.7974, prior_entropy: 1, recall: 0.7974, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.799,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7977, kappa: 0.5935, kb_relative_information_score: 500189.7023, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7978, predictive_accuracy: 0.7979, prior_entropy: 1, recall: 0.7979, relative_absolute_error: 0.5241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.7984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.8, kappa: 0.5979, kb_relative_information_score: 501705.9623, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.8001, predictive_accuracy: 0.8002, prior_entropy: 1, recall: 0.8002, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.7922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.7555, kappa: 0.5112, kb_relative_information_score: 497759.0352, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7585, predictive_accuracy: 0.7553, prior_entropy: 1, recall: 0.7553, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7555, kappa: 0.5112, kb_relative_information_score: 510558, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7585, predictive_accuracy: 0.7553, prior_entropy: 1, recall: 0.7553, relative_absolute_error: 0.4894, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9894,

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

Given a dataset with a nominal target, various data samples of increasing size are defined. A model is build for each individual data sample; from this a learning curve can be drawn.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
predictions The desired output format Predictions (optional)

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