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Supervised Data Stream Classification on codrnaNorm

Supervised Data Stream Classification on codrnaNorm

Task 7315 Supervised Data Stream Classification codrnaNorm 309 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_kNN(1) on task Supervised Data Stream Classification on data set codrnaNorm
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.8909, kappa: 0.7512, kb_relative_information_score: 315318.4251, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.5, number_of_instances: 488565, precision: 0.8925, predictive_accuracy: 0.8928, prior_entropy: 1, recall: 0.8928, relative_absolute_error: 0.3799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.5829,
Jan van Rijn 10 years ago
ran flow moa.OzaBoost_HoeffdingTree(1) on task Supervised Data Stream Classification on data set codrnaNorm
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9546, kappa: 0.8981, kb_relative_information_score: 313820.0892, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.5, number_of_instances: 488565, precision: 0.9548, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.5091,
Jan van Rijn 10 years ago
ran flow moa.OzaBagAdwin_HoeffdingTree(1) on task Supervised Data Stream Classification on data set codrnaNorm
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9559, kappa: 0.9011, kb_relative_information_score: 420638.1903, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.5, number_of_instances: 488565, precision: 0.9562, predictive_accuracy: 0.9558, prior_entropy: 1, recall: 0.9558, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.184, root_relative_squared_error: 0.3679,
Jan van Rijn 10 years ago
ran flow moa.OzaBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set codrnaNorm
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9563, kappa: 0.902, kb_relative_information_score: 420648.2442, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.5, number_of_instances: 488565, precision: 0.9566, predictive_accuracy: 0.9561, prior_entropy: 1, recall: 0.9561, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.3671,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set codrnaNorm
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9605, kappa: 0.9115, kb_relative_information_score: 428635.7906, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.5, number_of_instances: 488565, precision: 0.9609, predictive_accuracy: 0.9604, prior_entropy: 1, recall: 0.9604, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.3491,
Jan van Rijn 10 years ago
ran flow moa.kNN(1) on task Supervised Data Stream Classification on data set codrnaNorm
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8922, kappa: 0.7546, kb_relative_information_score: 315344.3646, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.5, number_of_instances: 488565, precision: 0.8933, predictive_accuracy: 0.8939, prior_entropy: 1, recall: 0.8939, relative_absolute_error: 0.3797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.5832,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingTree(1) on task Supervised Data Stream Classification on data set codrnaNorm
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9491, kappa: 0.8858, kb_relative_information_score: 421239.2289, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.5, number_of_instances: 488565, precision: 0.9494, predictive_accuracy: 0.9489, prior_entropy: 1, recall: 0.9489, relative_absolute_error: 0.1478, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4049,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set codrnaNorm
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5333, kappa: -0, kb_relative_information_score: 162851, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.5, number_of_instances: 488565, precision: 0.5278, predictive_accuracy: 0.6667, prior_entropy: 1, recall: 0.6667, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.1547,
Jan van Rijn 10 years ago
ran flow moa.NaiveBayes(1) on task Supervised Data Stream Classification on data set codrnaNorm
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.7269, kappa: 0.3679, kb_relative_information_score: 195558.9377, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.5, number_of_instances: 488565, precision: 0.7363, predictive_accuracy: 0.7453, prior_entropy: 1, recall: 0.7453, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8028,

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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 codrnaNorm (1)
target_feature codrna_Y

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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