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Function: require_once

OpenML
Task
Supervised Data Stream Classification on BNG(heart-c)

Supervised Data Stream Classification on BNG(heart-c)

Task 2162 Supervised Data Stream Classification BNG(heart-c) 292 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • ecmlpkdd2015 streamensembles streams study_11 study_16
Issue #Downvotes for this reason By


Metric:

292 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.3804, kb_relative_information_score: 477857.454, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.2932, predictive_accuracy: 0.5414, prior_entropy: 2.3219, recall: 0.5414, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4283, root_relative_squared_error: 1.0707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3804, kb_relative_information_score: 477857.5304, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.2932, predictive_accuracy: 0.5414, prior_entropy: 2.3219, recall: 0.5414, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4283, root_relative_squared_error: 1.0707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.867, kappa: 0.7373, kb_relative_information_score: 495505.554, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.865, predictive_accuracy: 0.8693, prior_entropy: 2.3219, recall: 0.8693, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.7618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.7387, kappa: 0.4797, kb_relative_information_score: 710958.2761, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7369, predictive_accuracy: 0.7405, prior_entropy: 2.3219, recall: 0.7405, relative_absolute_error: 0.3331, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.7421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8784, kappa: 0.7603, kb_relative_information_score: 842376.6821, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8772, predictive_accuracy: 0.8806, prior_entropy: 2.3219, recall: 0.8806, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.4676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.8791, kappa: 0.7617, kb_relative_information_score: 842436.1584, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8769, predictive_accuracy: 0.8813, prior_entropy: 2.3219, recall: 0.8813, relative_absolute_error: 0.2162, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8808, kappa: 0.7649, kb_relative_information_score: 830969.4656, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8802, predictive_accuracy: 0.8833, prior_entropy: 2.3219, recall: 0.8833, relative_absolute_error: 0.2404, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.8663, kappa: 0.7355, kb_relative_information_score: 840728.087, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8653, predictive_accuracy: 0.868, prior_entropy: 2.3219, recall: 0.868, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3804, kb_relative_information_score: 477857.5304, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.2932, predictive_accuracy: 0.5414, prior_entropy: 2.3219, recall: 0.5414, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4283, root_relative_squared_error: 1.0707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.7416, kappa: 0.4849, kb_relative_information_score: 714603.581, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7396, predictive_accuracy: 0.7437, prior_entropy: 2.3219, recall: 0.7437, relative_absolute_error: 0.3319, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.7357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5028, f_measure: 0.4994, kappa: -0.0013, kb_relative_information_score: 432344.4446, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.4983, predictive_accuracy: 0.5005, prior_entropy: 2.3219, recall: 0.5005, relative_absolute_error: 0.6231, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4445, root_relative_squared_error: 1.1112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.8754, kappa: 0.7543, kb_relative_information_score: 832410.5578, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8735, predictive_accuracy: 0.8776, prior_entropy: 2.3219, recall: 0.8776, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.4778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8745, kappa: 0.7526, kb_relative_information_score: 497745.8369, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.874, predictive_accuracy: 0.8768, prior_entropy: 2.3219, recall: 0.8768, relative_absolute_error: 0.6902, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.7595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8745, kappa: 0.7526, kb_relative_information_score: 497745.8369, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.874, predictive_accuracy: 0.8768, prior_entropy: 2.3219, recall: 0.8768, relative_absolute_error: 0.6902, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.7595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.755, kappa: 0.512, kb_relative_information_score: 665203.0356, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.753, predictive_accuracy: 0.7571, prior_entropy: 2.3219, recall: 0.7571, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.6025, kappa: 0.2048, kb_relative_information_score: 555798.1682, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.6007, predictive_accuracy: 0.6048, prior_entropy: 2.3219, recall: 0.6048, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.9588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.8705, kappa: 0.7444, kb_relative_information_score: 820370.8083, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8684, predictive_accuracy: 0.8728, prior_entropy: 2.3219, recall: 0.8728, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.4842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.3804, kb_relative_information_score: 477857.4548, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.2932, predictive_accuracy: 0.5414, prior_entropy: 2.3219, recall: 0.5414, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4283, root_relative_squared_error: 1.0707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8342, kappa: 0.6717, kb_relative_information_score: 779923.9115, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8321, predictive_accuracy: 0.8363, prior_entropy: 2.3219, recall: 0.8363, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.5815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.7659, kappa: 0.5335, kb_relative_information_score: 739668.4718, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.768, predictive_accuracy: 0.7697, prior_entropy: 2.3219, recall: 0.7697, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.7552, kappa: 0.5125, kb_relative_information_score: 652832.762, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7532, predictive_accuracy: 0.7572, prior_entropy: 2.3219, recall: 0.7572, relative_absolute_error: 0.4601, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.6782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8781, kappa: 0.7589, kb_relative_information_score: 842928.7347, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8772, predictive_accuracy: 0.8798, prior_entropy: 2.3219, recall: 0.8798, relative_absolute_error: 0.2073, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.4786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3804, kb_relative_information_score: 477857.5304, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.2932, predictive_accuracy: 0.5414, prior_entropy: 2.3219, recall: 0.5414, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4283, root_relative_squared_error: 1.0707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.8308, kappa: 0.6644, kb_relative_information_score: 793312.3193, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8289, predictive_accuracy: 0.8332, prior_entropy: 2.3219, recall: 0.8332, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.6238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8127, kappa: 0.6276, kb_relative_information_score: 762518.3118, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8126, predictive_accuracy: 0.8155, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8155, relative_absolute_error: 0.3014, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.6054, run_cpu_time: 8.1385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3804, kb_relative_information_score: 477373.3374, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.2932, predictive_accuracy: 0.5414, prior_entropy: 2.3219, ram_hours: 0.0013, recall: 0.5414, relative_absolute_error: 0.5736, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4283, root_relative_squared_error: 1.0706, run_cpu_time: 49.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.8308, kappa: 0.6644, kb_relative_information_score: 793312.3193, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8289, predictive_accuracy: 0.8332, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8332, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.6238, run_cpu_time: 7.5194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4981, kappa: -0.0017, kb_relative_information_score: 428473.2764, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.4981, predictive_accuracy: 0.4981, prior_entropy: 2.3219, ram_hours: 0, recall: 0.4981, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4481, root_relative_squared_error: 1.1202, run_cpu_time: 6.0516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3804, kb_relative_information_score: 477857.5304, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.2932, predictive_accuracy: 0.5414, prior_entropy: 2.3219, ram_hours: 0.0014, recall: 0.5414, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4283, root_relative_squared_error: 1.0707, run_cpu_time: 64.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8716, kappa: 0.7461, kb_relative_information_score: 406148.3223, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8707, predictive_accuracy: 0.8736, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8736, relative_absolute_error: 0.7672, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.812, run_cpu_time: 10.2916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8803, kappa: 0.7634, kb_relative_information_score: 844575.1968, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8794, predictive_accuracy: 0.8821, prior_entropy: 2.3219, ram_hours: 0.0001, recall: 0.8821, relative_absolute_error: 0.2077, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.469, run_cpu_time: 117.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3804, kappa: 0, kb_relative_information_score: 565154.9173, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.5137, predictive_accuracy: 0.5414, prior_entropy: 2.3219, ram_hours: 0, recall: 0.5414, relative_absolute_error: 0.6263, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.7914, run_cpu_time: 15.7926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.5921, kappa: 0.1854, kb_relative_information_score: 536966.9674, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.5909, predictive_accuracy: 0.5933, prior_entropy: 2.3219, ram_hours: 0, recall: 0.5933, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4033, root_relative_squared_error: 1.0083, run_cpu_time: 6.0737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3804, kb_relative_information_score: 477857.5304, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.2932, predictive_accuracy: 0.5414, prior_entropy: 2.3219, ram_hours: 0, recall: 0.5414, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4283, root_relative_squared_error: 1.0707, run_cpu_time: 7.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.8663, kappa: 0.7355, kb_relative_information_score: 840737.7791, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8653, predictive_accuracy: 0.868, prior_entropy: 2.3219, ram_hours: 0, recall: 0.868, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4977, run_cpu_time: 19.5818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8781, kappa: 0.7587, kb_relative_information_score: 843289.0453, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8771, predictive_accuracy: 0.8797, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8797, relative_absolute_error: 0.2068, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.4785, run_cpu_time: 19.7135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.7552, kappa: 0.5126, kb_relative_information_score: 723078.5325, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7533, predictive_accuracy: 0.7572, prior_entropy: 2.3219, ram_hours: 0, recall: 0.7572, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.779, run_cpu_time: 5.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.887, kappa: 0.777, kb_relative_information_score: 848884.3238, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8861, predictive_accuracy: 0.8889, prior_entropy: 2.3219, ram_hours: 0.0018, recall: 0.8889, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.4537, run_cpu_time: 184.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.8451, kappa: 0.6929, kb_relative_information_score: 808204.1787, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8455, predictive_accuracy: 0.8481, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8481, relative_absolute_error: 0.2592, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.5259, run_cpu_time: 242.0556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8646, kappa: 0.7328, kb_relative_information_score: 841015.7389, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8625, predictive_accuracy: 0.8667, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8667, relative_absolute_error: 0.201, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.5035, run_cpu_time: 30.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8781, kappa: 0.7587, kb_relative_information_score: 843289.0453, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8771, predictive_accuracy: 0.8797, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8797, relative_absolute_error: 0.2068, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.4785, run_cpu_time: 19.0981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.8802, kappa: 0.7631, kb_relative_information_score: 844478.3643, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8792, predictive_accuracy: 0.882, prior_entropy: 2.3219, ram_hours: 0.0001, recall: 0.882, relative_absolute_error: 0.2077, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.4697, run_cpu_time: 99.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8804, kappa: 0.7636, kb_relative_information_score: 755554.8228, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8796, predictive_accuracy: 0.8822, prior_entropy: 2.3219, ram_hours: 0.0001, recall: 0.8822, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.5303, run_cpu_time: 93.8948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.855, kappa: 0.713, kb_relative_information_score: 766826.7175, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8539, predictive_accuracy: 0.8569, prior_entropy: 2.3219, ram_hours: 0.08, recall: 0.8569, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.5338, run_cpu_time: 3566.9864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.848, kappa: 0.6988, kb_relative_information_score: 763279.7164, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8469, predictive_accuracy: 0.8497, prior_entropy: 2.3219, ram_hours: 0.0193, recall: 0.8497, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.5419, run_cpu_time: 485.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.7568, kappa: 0.5152, kb_relative_information_score: 730337.989, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.756, predictive_accuracy: 0.7599, prior_entropy: 2.3219, ram_hours: 0.0086, recall: 0.7599, relative_absolute_error: 0.3684, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.249, root_relative_squared_error: 0.6226, run_cpu_time: 372.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8456, kappa: 0.694, kb_relative_information_score: 808275.9699, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8457, predictive_accuracy: 0.8486, prior_entropy: 2.3219, ram_hours: 0.0008, recall: 0.8486, relative_absolute_error: 0.2592, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.5257, run_cpu_time: 5424.1749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.737, kappa: 0.4762, kb_relative_information_score: 702628.7025, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7352, predictive_accuracy: 0.7388, prior_entropy: 2.3219, ram_hours: 0, recall: 0.7388, relative_absolute_error: 0.3265, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.808, run_cpu_time: 5.7854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.8792, kappa: 0.7609, kb_relative_information_score: 843601.8807, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8782, predictive_accuracy: 0.8808, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8808, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4773, run_cpu_time: 29.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8272, kappa: 0.6571, kb_relative_information_score: 769882.0891, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8259, predictive_accuracy: 0.8294, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8294, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.5616, run_cpu_time: 16.28,

    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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