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Supervised Data Stream Classification on Agrawal1

Supervised Data Stream Classification on Agrawal1

Task 7309 Supervised Data Stream Classification Agrawal1 311 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.DecisionStump(1) on task Supervised Data Stream Classification on data set Agrawal1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.5402, kappa: 0, kb_relative_information_score: 296050.4312, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5746, predictive_accuracy: 0.672, prior_entropy: 1, recall: 0.672, relative_absolute_error: 0.7082, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.8515,
Jan van Rijn 10 years ago
ran flow moa.WEKAClassifier_J48(1) on task Supervised Data Stream Classification on data set Agrawal1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9451, kappa: 0.8753, kb_relative_information_score: 830375.2006, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.945, predictive_accuracy: 0.9451, prior_entropy: 1, recall: 0.9451, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4527,
Jan van Rijn 10 years ago
ran flow moa.SPegasos(1) on task Supervised Data Stream Classification on data set Agrawal1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.5596, kappa: 0.001, kb_relative_information_score: 119254, mean_absolute_error: 0.4404, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5596, predictive_accuracy: 0.5596, prior_entropy: 1, recall: 0.5596, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6636, root_relative_squared_error: 1.3272,
Jan van Rijn 10 years ago
ran flow moa.FIMTDD(1) on task Supervised Data Stream Classification on data set Agrawal1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5402, kb_relative_information_score: 344090, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4516, predictive_accuracy: 0.672, prior_entropy: 1, recall: 0.672, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1453,
Jan van Rijn 10 years ago
ran flow moa.OzaBoost_HoeffdingTree(1) on task Supervised Data Stream Classification on data set Agrawal1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9307, kappa: 0.8435, kb_relative_information_score: 729897.3009, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9312, predictive_accuracy: 0.9304, prior_entropy: 1, recall: 0.9304, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.4719,
Jan van Rijn 10 years ago
ran flow moa.OzaBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set Agrawal1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9497, kappa: 0.886, kb_relative_information_score: 859856.8539, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9498, predictive_accuracy: 0.9496, prior_entropy: 1, recall: 0.9496, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.3734,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set Agrawal1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9476, kappa: 0.8815, kb_relative_information_score: 850477.7049, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.948, predictive_accuracy: 0.9473, prior_entropy: 1, recall: 0.9473, relative_absolute_error: 0.1611, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.3825,
Jan van Rijn 10 years ago
ran flow moa.kNN(1) on task Supervised Data Stream Classification on data set Agrawal1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5497, f_measure: 0.5931, kappa: 0.0501, kb_relative_information_score: 122045.4993, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5882, predictive_accuracy: 0.6415, prior_entropy: 1, recall: 0.6415, relative_absolute_error: 0.8945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9707,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingTree(1) on task Supervised Data Stream Classification on data set Agrawal1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9492, kappa: 0.8848, kb_relative_information_score: 868412.1308, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9492, predictive_accuracy: 0.9492, prior_entropy: 1, recall: 0.9492, relative_absolute_error: 0.1384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3782,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set Agrawal1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5596, kappa: 0.0009, kb_relative_information_score: 119100, mean_absolute_error: 0.4405, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5596, predictive_accuracy: 0.5596, prior_entropy: 1, recall: 0.5596, relative_absolute_error: 0.8809, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6637, root_relative_squared_error: 1.3273,
Jan van Rijn 10 years ago
ran flow moa.NaiveBayes(1) on task Supervised Data Stream Classification on data set Agrawal1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8776, kappa: 0.714, kb_relative_information_score: 619984.7427, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.9019, predictive_accuracy: 0.8852, prior_entropy: 1, recall: 0.8852, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.5974,

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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 Agrawal1 (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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