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Supervised Data Stream Classification on Stagger3

Supervised Data Stream Classification on Stagger3

Task 7312 Supervised Data Stream Classification Stagger3 305 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.LeveragingBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set Stagger3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 999992.413, 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: 0.0015, root_relative_squared_error: 0.0029,
Jan van Rijn 10 years ago
ran flow moa.kNN(1) on task Supervised Data Stream Classification on data set Stagger3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 999894.8613, mean_absolute_error: 0.0001, 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: 0.0042, root_relative_squared_error: 0.0085,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingTree(1) on task Supervised Data Stream Classification on data set Stagger3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 999979.1578, 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: 0.0018, root_relative_squared_error: 0.0036,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set Stagger3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9915, kappa: 0.9807, kb_relative_information_score: 982988, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9916, predictive_accuracy: 0.9915, prior_entropy: 1, recall: 0.9915, relative_absolute_error: 0.017, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.1845,
Jan van Rijn 10 years ago
ran flow moa.NaiveBayes(1) on task Supervised Data Stream Classification on data set Stagger3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 999942.2355, 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: 0.0018, root_relative_squared_error: 0.0036,

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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 Stagger3 (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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