Task
Supervised Data Stream Classification on BNG(anneal,5000,1)

Supervised Data Stream Classification on BNG(anneal,5000,1)

Task 7332 Supervised Data Stream Classification BNG(anneal,5000,1) 10 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,5000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8782, kappa: 0.699, kb_relative_information_score: 887384.9553, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9008, predictive_accuracy: 0.8977, prior_entropy: 2.585, recall: 0.8977, relative_absolute_error: 0.1468, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.421,
Jan van Rijn 10 years ago
ran flow moa.OzaBoostAdwin_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal,5000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9466, kappa: 0.8688, kb_relative_information_score: 860735.1423, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9463, predictive_accuracy: 0.949, prior_entropy: 2.585, recall: 0.949, relative_absolute_error: 0.2313, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.3712,
Jan van Rijn 10 years ago
ran flow moa.OzaBoost_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal,5000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9631, kappa: 0.9091, kb_relative_information_score: 873914.8407, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9628, predictive_accuracy: 0.9639, prior_entropy: 2.585, recall: 0.9639, relative_absolute_error: 0.2163, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.3422,
Jan van Rijn 10 years ago
ran flow moa.OzaBagAdwin_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal,5000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9443, kappa: 0.8638, kb_relative_information_score: 918905.9721, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.945, predictive_accuracy: 0.9472, prior_entropy: 2.585, recall: 0.9472, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.3104,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal,5000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.956, kappa: 0.892, kb_relative_information_score: 937958.4739, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9564, predictive_accuracy: 0.9579, prior_entropy: 2.585, recall: 0.9579, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.2772,
Jan van Rijn 10 years ago
ran flow moa.OzaBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal,5000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9371, kappa: 0.8459, kb_relative_information_score: 915900.2093, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9379, predictive_accuracy: 0.9403, prior_entropy: 2.585, recall: 0.9403, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.3336,
Jan van Rijn 10 years ago
ran flow moa.kNN(1) on task Supervised Data Stream Classification on data set BNG(anneal,5000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8781, kappa: 0.6994, kb_relative_information_score: 887518.4054, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9009, predictive_accuracy: 0.8978, prior_entropy: 2.585, recall: 0.8978, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.4209,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal,5000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9307, kappa: 0.8301, kb_relative_information_score: 910274.8139, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.931, predictive_accuracy: 0.9339, prior_entropy: 2.585, recall: 0.9339, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.3674,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(anneal,5000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.0221, kappa: -0.0007, kb_relative_information_score: 17311.1292, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0124, predictive_accuracy: 0.1081, prior_entropy: 2.585, recall: 0.1081, relative_absolute_error: 1.0703, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.4631,
Jan van Rijn 10 years ago
ran flow moa.NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(anneal,5000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.8827, kappa: 0.7082, kb_relative_information_score: 856185.9022, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9003, predictive_accuracy: 0.8716, prior_entropy: 2.585, recall: 0.8716, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.49,

    Metric:

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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 BNG(anneal,5000,1) (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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