Task
Supervised Data Stream Classification on BNG(anneal,10000,10)

Supervised Data Stream Classification on BNG(anneal,10000,10)

Task 7337 Supervised Data Stream Classification BNG(anneal,10000,10) 7 runs submitted
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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 BNG(anneal,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.8777, kappa: 0.6792, kb_relative_information_score: 878120.1575, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8982, predictive_accuracy: 0.8925, prior_entropy: 2.585, recall: 0.8925, relative_absolute_error: 0.1604, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.4274,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9584, kappa: 0.8976, kb_relative_information_score: 937781.0137, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9584, predictive_accuracy: 0.9598, prior_entropy: 2.585, recall: 0.9598, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1016, root_relative_squared_error: 0.2725,
Jan van Rijn 10 years ago
ran flow moa.OzaBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9087, kappa: 0.7719, kb_relative_information_score: 873042.5511, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9077, predictive_accuracy: 0.9105, prior_entropy: 2.585, recall: 0.9105, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.4084,
Jan van Rijn 10 years ago
ran flow moa.kNN(1) on task Supervised Data Stream Classification on data set BNG(anneal,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.878, kappa: 0.6803, kb_relative_information_score: 878293.6159, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8982, predictive_accuracy: 0.8928, prior_entropy: 2.585, recall: 0.8928, relative_absolute_error: 0.1602, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.4272,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.8967, kappa: 0.74, kb_relative_information_score: 865165.2737, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.898, predictive_accuracy: 0.8959, prior_entropy: 2.585, recall: 0.8959, relative_absolute_error: 0.1754, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.17, root_relative_squared_error: 0.4561,
Jan van Rijn 10 years ago
ran flow moa.NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(anneal,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.7527, kappa: 0.4305, kb_relative_information_score: 692842.427, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7954, predictive_accuracy: 0.7251, prior_entropy: 2.585, recall: 0.7251, relative_absolute_error: 0.3674, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.696,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(anneal,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.0221, kappa: -0.0002, kb_relative_information_score: 18028.3721, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0123, predictive_accuracy: 0.1087, prior_entropy: 2.585, recall: 0.1087, relative_absolute_error: 1.0695, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5451, root_relative_squared_error: 1.4626,

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    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(anneal,10000,10) (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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