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Supervised Data Stream Classification on Stagger1

Supervised Data Stream Classification on Stagger1

Task 7310 Supervised Data Stream Classification Stagger1 307 runs submitted
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  • binstreams ecmlpkdd2015 streamensembles streams study_11 study_16
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Jan van Rijn 10 years ago
ran flow moa.OzaBoost_HoeffdingTree(1) on task Supervised Data Stream Classification on data set Stagger1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 999623.7453, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0064, root_relative_squared_error: 0.0128,
Jan van Rijn 10 years ago
ran flow moa.OzaBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set Stagger1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 0.9999, kb_relative_information_score: 999676.2528, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0075, root_relative_squared_error: 0.0151,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set Stagger1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 999971.9693, mean_absolute_error: 0, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0021, root_relative_squared_error: 0.0042,
Jan van Rijn 10 years ago
ran flow moa.kNN(1) on task Supervised Data Stream Classification on data set Stagger1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 0.9998, kb_relative_information_score: 999934.198, mean_absolute_error: 0, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.004, root_relative_squared_error: 0.0081,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingTree(1) on task Supervised Data Stream Classification on data set Stagger1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 999693.9835, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0073, root_relative_squared_error: 0.0146,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set Stagger1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9827, kappa: 0.9098, kb_relative_information_score: 966570, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9836, predictive_accuracy: 0.9833, prior_entropy: 1, recall: 0.9833, relative_absolute_error: 0.0334, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.2586,
Jan van Rijn 10 years ago
ran flow moa.NaiveBayes(1) on task Supervised Data Stream Classification on data set Stagger1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 934893.7083, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0743, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.111, root_relative_squared_error: 0.222,

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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 Stagger1 (1)
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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