Task
Supervised Data Stream Classification on BNG(labor)

Supervised Data Stream Classification on BNG(labor)

Task 2129 Supervised Data Stream Classification BNG(labor) 310 runs submitted
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  • binstreams ecmlpkdd2015 streamensembles streams study_11 study_16
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Jan van Rijn 11 years ago
ran flow moa.kNN(1) on task Supervised Data Stream Classification on data set BNG(labor)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9209, kappa: 0.8248, kb_relative_information_score: 773061.2027, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9234, predictive_accuracy: 0.9222, prior_entropy: 1, ram_hours: 0, recall: 0.9222, relative_absolute_error: 0.2412, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.4985, run_cpu_time: 192.5249,
Jan van Rijn 11 years ago
ran flow moa.OzaBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(labor)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9462, kappa: 0.882, kb_relative_information_score: 842076.505, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9463, predictive_accuracy: 0.9464, prior_entropy: 1, ram_hours: 0.0002, recall: 0.9464, relative_absolute_error: 0.1728, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4046, run_cpu_time: 50.6037,
Jan van Rijn 11 years ago
ran flow moa.MajorityClass(1) on task Supervised Data Stream Classification on data set BNG(labor)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.5083, kappa: -0, kb_relative_information_score: 109729.3004, mean_absolute_error: 0.4566, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4186, predictive_accuracy: 0.647, prior_entropy: 1, ram_hours: 0, recall: 0.647, relative_absolute_error: 0.9132, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4779, root_relative_squared_error: 0.9558, run_cpu_time: 3.9004,
Jan van Rijn 11 years ago
ran flow moa.LeveragingBag_kNN(1) on task Supervised Data Stream Classification on data set BNG(labor)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9202, kappa: 0.8232, kb_relative_information_score: 773097.821, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.923, predictive_accuracy: 0.9215, prior_entropy: 1, ram_hours: 0.0005, recall: 0.9215, relative_absolute_error: 0.2412, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.4982, run_cpu_time: 3641.6793,
Jan van Rijn 11 years ago
ran flow moa.LeveragingBag_kNN(1) on task Supervised Data Stream Classification on data set BNG(labor)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9202, kappa: 0.8232, kb_relative_information_score: 773097.821, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.923, predictive_accuracy: 0.9215, prior_entropy: 1, ram_hours: 0.0005, recall: 0.9215, relative_absolute_error: 0.2412, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.4982, run_cpu_time: 3516.1679,
Jan van Rijn 11 years ago
ran flow moa.OzaBoostAdwin_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(labor)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9393, kappa: 0.8667, kb_relative_information_score: 677525.9215, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9393, predictive_accuracy: 0.9395, prior_entropy: 1, ram_hours: 0.0068, recall: 0.9395, relative_absolute_error: 0.3676, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.4938, run_cpu_time: 202.8497,
Jan van Rijn 11 years ago
ran flow moa.LeveragingBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(labor)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9524, kappa: 0.8955, kb_relative_information_score: 856448.5493, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9524, predictive_accuracy: 0.9525, prior_entropy: 1, ram_hours: 0.0037, recall: 0.9525, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.19, root_relative_squared_error: 0.38, run_cpu_time: 166.7067,
Jan van Rijn 11 years ago
ran flow moa.OzaBagAdwin_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(labor)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9461, kappa: 0.8817, kb_relative_information_score: 841172.3941, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9461, predictive_accuracy: 0.9463, prior_entropy: 1, ram_hours: 0.0002, recall: 0.9463, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4051, run_cpu_time: 58.1154,
Jan van Rijn 11 years ago
ran flow moa.SPegasos(1) on task Supervised Data Stream Classification on data set BNG(labor)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, f_measure: 0.7812, kappa: 0.5195, kb_relative_information_score: 563892, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7806, predictive_accuracy: 0.7819, prior_entropy: 1, ram_hours: 0, recall: 0.7819, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.467, root_relative_squared_error: 0.9339, run_cpu_time: 3.438,
Jan van Rijn 11 years ago
ran flow moa.HoeffdingAdaptiveTree(1) on task Supervised Data Stream Classification on data set BNG(labor)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9414, kappa: 0.8714, kb_relative_information_score: 841481.6385, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9414, predictive_accuracy: 0.9415, prior_entropy: 1, ram_hours: 0, recall: 0.9415, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4374, run_cpu_time: 18.0301,

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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

estimation_procedure Interleaved Test then Train
source_data BNG(labor) (2)
target_feature class

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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