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OpenML
Task
Supervised Data Stream Classification on Hyperplane_10_1E-3

Supervised Data Stream Classification on Hyperplane_10_1E-3

Task 190 Supervised Data Stream Classification Hyperplane_10_1E-3 292 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • ecmlpkdd2015 streamensembles streams study_11 study_16
Issue #Downvotes for this reason By


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292 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.9218, kappa: 0.8437, kb_relative_information_score: 892899.2128, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.9218, predictive_accuracy: 0.9218, prior_entropy: 2.3219, recall: 0.9218, relative_absolute_error: 0.1421, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.8836, kappa: 0.7672, kb_relative_information_score: 773662.9435, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8836, predictive_accuracy: 0.8836, prior_entropy: 2.3219, recall: 0.8836, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.5302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.8061, kappa: 0.6123, kb_relative_information_score: 705528.8861, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8062, predictive_accuracy: 0.8061, prior_entropy: 2.3219, recall: 0.8061, relative_absolute_error: 0.4368, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9039, kappa: 0.8078, kb_relative_information_score: 632464.1987, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.9039, predictive_accuracy: 0.9039, prior_entropy: 2.3219, recall: 0.9039, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.7065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.7013, kappa: 0.4065, kb_relative_information_score: 626501.0435, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7085, predictive_accuracy: 0.7032, prior_entropy: 2.3219, recall: 0.7032, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, kb_relative_information_score: 430668.5875, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 2.3219, recall: 0.5, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.9075, kappa: 0.815, kb_relative_information_score: 633778.21, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.9075, predictive_accuracy: 0.9075, prior_entropy: 2.3219, recall: 0.9075, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.7046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.854, kappa: 0.708, kb_relative_information_score: 793664.5221, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.854, predictive_accuracy: 0.854, prior_entropy: 2.3219, recall: 0.854, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.5283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8949, kappa: 0.7898, kb_relative_information_score: 775824.9188, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8949, predictive_accuracy: 0.8949, prior_entropy: 2.3219, recall: 0.8949, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.9014, kappa: 0.8029, kb_relative_information_score: 838652.0475, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.9014, predictive_accuracy: 0.9014, prior_entropy: 2.3219, recall: 0.9014, relative_absolute_error: 0.234, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.4662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.7413, kappa: 0.4875, kb_relative_information_score: 692193.0935, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7534, predictive_accuracy: 0.7438, prior_entropy: 2.3219, recall: 0.7438, relative_absolute_error: 0.3613, 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: 0.9055, f_measure: 0.8629, kappa: 0.7259, kb_relative_information_score: 839496.5015, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8631, predictive_accuracy: 0.863, prior_entropy: 2.3219, recall: 0.863, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.5329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.788, kappa: 0.576, kb_relative_information_score: 756875.9689, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.788, predictive_accuracy: 0.788, prior_entropy: 2.3219, recall: 0.788, relative_absolute_error: 0.3027, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.6313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.7052, kappa: 0.4104, kb_relative_information_score: 630360.8593, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7052, predictive_accuracy: 0.7052, prior_entropy: 2.3219, recall: 0.7052, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.7123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.638, f_measure: 0.638, kappa: 0.276, kb_relative_information_score: 587788.3921, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.638, predictive_accuracy: 0.638, prior_entropy: 2.3219, recall: 0.638, relative_absolute_error: 0.4525, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.9513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.844, kappa: 0.688, kb_relative_information_score: 776949.377, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 2.3219, recall: 0.844, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.5445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.9182, kappa: 0.8364, kb_relative_information_score: 897392.323, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.9182, predictive_accuracy: 0.9182, prior_entropy: 2.3219, recall: 0.9182, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.168, root_relative_squared_error: 0.4199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6355, f_measure: 0.6302, kappa: 0.2608, kb_relative_information_score: 558001.5398, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.6306, predictive_accuracy: 0.6304, prior_entropy: 2.3219, recall: 0.6304, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.8276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.7709, kappa: 0.5417, kb_relative_information_score: 714861.2601, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7709, predictive_accuracy: 0.7709, prior_entropy: 2.3219, recall: 0.7709, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.6335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6298, f_measure: 0.5943, kappa: 0.19, kb_relative_information_score: 581554.0878, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.5957, predictive_accuracy: 0.595, prior_entropy: 2.3219, recall: 0.595, relative_absolute_error: 0.5884, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.31, root_relative_squared_error: 0.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.7971, kappa: 0.5943, kb_relative_information_score: 736084.136, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7972, predictive_accuracy: 0.7971, prior_entropy: 2.3219, recall: 0.7971, relative_absolute_error: 0.3606, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, kb_relative_information_score: 430668.5875, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 2.3219, recall: 0.5, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, f_measure: 0.6128, kappa: 0.2279, kb_relative_information_score: 563196.7738, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.6153, predictive_accuracy: 0.6139, prior_entropy: 2.3219, recall: 0.6139, relative_absolute_error: 0.4884, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.9289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.8669, kappa: 0.7338, kb_relative_information_score: 804058.0589, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8669, predictive_accuracy: 0.8669, prior_entropy: 2.3219, recall: 0.8669, relative_absolute_error: 0.2764, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5173, run_cpu_time: 31.9668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7479, f_measure: 0.682, kappa: 0.3642, kb_relative_information_score: 640193.4686, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.6822, predictive_accuracy: 0.6821, prior_entropy: 2.3219, ram_hours: 0, recall: 0.6821, relative_absolute_error: 0.4836, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.7184, run_cpu_time: 10.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, kb_relative_information_score: 430668.5875, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 2.3219, ram_hours: 0.208, recall: 0.5, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.118, run_cpu_time: 1670.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.8838, kappa: 0.7676, kb_relative_information_score: 807577.8877, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8838, predictive_accuracy: 0.8838, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8838, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.4938, run_cpu_time: 97.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, kb_relative_information_score: 430668.5875, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 2.3219, ram_hours: 0.0025, recall: 0.5, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.118, run_cpu_time: 138.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.8669, kappa: 0.7338, kb_relative_information_score: 804058.0589, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8669, predictive_accuracy: 0.8669, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8669, relative_absolute_error: 0.2764, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5173, run_cpu_time: 30.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.498, kappa: -0.0017, kb_relative_information_score: 569319.5321, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.4992, predictive_accuracy: 0.4992, prior_entropy: 2.3219, ram_hours: 0, recall: 0.4992, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.7906, run_cpu_time: 7.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8366, kappa: 0.6731, kb_relative_information_score: 679664.6751, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8366, predictive_accuracy: 0.8366, prior_entropy: 2.3219, ram_hours: 0.0004, recall: 0.8366, relative_absolute_error: 0.4892, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.257, root_relative_squared_error: 0.6424, run_cpu_time: 127.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, f_measure: 0.6128, kappa: 0.2279, kb_relative_information_score: 563196.7738, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.6153, predictive_accuracy: 0.6139, prior_entropy: 2.3219, ram_hours: 0, recall: 0.6139, relative_absolute_error: 0.4884, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.9289, run_cpu_time: 8.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7476, kappa: 0.4953, kb_relative_information_score: 674906.7812, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7476, predictive_accuracy: 0.7476, prior_entropy: 2.3219, ram_hours: 0.0607, recall: 0.7476, relative_absolute_error: 0.4673, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.6633, run_cpu_time: 1170.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.7876, kappa: 0.5752, kb_relative_information_score: 736015.8809, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7876, predictive_accuracy: 0.7876, prior_entropy: 2.3219, ram_hours: 0, recall: 0.7876, relative_absolute_error: 0.3553, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.6161, run_cpu_time: 15.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4999, kappa: -0.0001, kb_relative_information_score: 430609.3779, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.4999, predictive_accuracy: 0.4999, prior_entropy: 2.3219, ram_hours: 0, recall: 0.4999, relative_absolute_error: 0.6251, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.1181, run_cpu_time: 6.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3333, kb_relative_information_score: 430266.3772, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 2.3219, ram_hours: 0.0013, recall: 0.5, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.1179, run_cpu_time: 61.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5434, f_measure: 0.5425, kappa: 0.0866, kb_relative_information_score: 479591.4215, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.5436, predictive_accuracy: 0.5433, prior_entropy: 2.3219, ram_hours: 0, recall: 0.5433, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4273, root_relative_squared_error: 1.0684, run_cpu_time: 6.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7225, f_measure: 0.6648, kappa: 0.3302, kb_relative_information_score: 626598.1111, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.6656, predictive_accuracy: 0.6651, prior_entropy: 2.3219, ram_hours: 0, recall: 0.6651, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.7437, run_cpu_time: 21.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.9116, kappa: 0.8231, kb_relative_information_score: 899314.0106, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.9116, predictive_accuracy: 0.9116, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9116, relative_absolute_error: 0.1105, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.4702, run_cpu_time: 6.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, kb_relative_information_score: 430668.5875, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 2.3219, ram_hours: 0.0045, recall: 0.5, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.118, run_cpu_time: 133.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7023, kappa: 0.4049, kb_relative_information_score: 662391.696, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.703, predictive_accuracy: 0.7025, prior_entropy: 2.3219, ram_hours: 0.0132, recall: 0.7025, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.6955, run_cpu_time: 478.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.6626, kappa: 0.3252, kb_relative_information_score: 591425.9236, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.6627, predictive_accuracy: 0.6626, prior_entropy: 2.3219, ram_hours: 0, recall: 0.6626, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.7616, run_cpu_time: 9.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, kb_relative_information_score: 430668.5875, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 2.3219, ram_hours: 0, recall: 0.5, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.118, run_cpu_time: 7.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6539, f_measure: 0.6261, kappa: 0.2532, kb_relative_information_score: 573615.9286, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.6273, predictive_accuracy: 0.6266, prior_entropy: 2.3219, ram_hours: 0, recall: 0.6266, relative_absolute_error: 0.4981, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.848, run_cpu_time: 7.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.834, kappa: 0.6686, kb_relative_information_score: 756921.7937, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8364, predictive_accuracy: 0.8343, prior_entropy: 2.3219, ram_hours: 0.0007, recall: 0.8343, relative_absolute_error: 0.3553, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.5664, run_cpu_time: 5081.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8329, kappa: 0.6666, kb_relative_information_score: 756829.4559, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8362, predictive_accuracy: 0.8333, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8333, relative_absolute_error: 0.3553, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5666, run_cpu_time: 265.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, f_measure: 0.7091, kappa: 0.422, kb_relative_information_score: 670933.3279, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7167, predictive_accuracy: 0.711, prior_entropy: 2.3219, ram_hours: 0, recall: 0.711, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.34, root_relative_squared_error: 0.85, run_cpu_time: 6.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.7876, kappa: 0.5752, kb_relative_information_score: 736015.8809, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7876, predictive_accuracy: 0.7876, prior_entropy: 2.3219, ram_hours: 0, recall: 0.7876, relative_absolute_error: 0.3553, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.6161, run_cpu_time: 15.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, f_measure: 0.7091, kappa: 0.4182, kb_relative_information_score: 656913.7949, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.7091, predictive_accuracy: 0.7091, prior_entropy: 2.3219, ram_hours: 0, recall: 0.7091, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.6933, run_cpu_time: 9.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8753, kappa: 0.7506, kb_relative_information_score: 810152.2495, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.32, number_of_instances: 1000000, precision: 0.8753, predictive_accuracy: 0.8753, prior_entropy: 2.3219, ram_hours: 0.0003, recall: 0.8753, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.496, run_cpu_time: 197.44,

    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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