Task
Supervised Data Stream Classification on trains

Supervised Data Stream Classification on trains

Task 2219 Supervised Data Stream Classification trains 25 runs submitted
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Joaquin Vanschoren 11 years ago
ran flow moa.RandomHoeffdingTree(1) on task Supervised Data Stream Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7917, kappa: 0.6, kb_relative_information_score: 4.6568, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.8571, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9412,
Joaquin Vanschoren 11 years ago
ran flow moa.LeveragingBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6703, kappa: 0.4, kb_relative_information_score: 3.9774, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.8125, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6031, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0955, run_cpu_time: 0.05,
Joaquin Vanschoren 11 years ago
ran flow moa.OzaBoostAdwin_HoeffdingTree(1) on task Supervised Data Stream Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5238, kappa: 0.2, kb_relative_information_score: 1.4696, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7778, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6399, root_relative_squared_error: 1.2798, run_cpu_time: 0.07,
Joaquin Vanschoren 11 years ago
ran flow moa.WEKAClassifier_REPTree(1) on task Supervised Data Stream Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
Joaquin Vanschoren 11 years ago
ran flow moa.NoChange(1) on task Supervised Data Stream Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 8, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6325, run_cpu_time: 0.01,
Joaquin Vanschoren 11 years ago
ran flow moa.RuleClassifier(1) on task Supervised Data Stream Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.3333, kb_relative_information_score: 2.2745, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5389, root_relative_squared_error: 1.0778, run_cpu_time: 0.01,
Joaquin Vanschoren 11 years ago
ran flow moa.MajorityClass(1) on task Supervised Data Stream Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.3333, kb_relative_information_score: 2.2745, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5389, root_relative_squared_error: 1.0778, run_cpu_time: 0.01,
Joaquin Vanschoren 11 years ago
ran flow moa.WEKAClassifier_OneR(1) on task Supervised Data Stream Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, run_cpu_time: 0.04,
Joaquin Vanschoren 11 years ago
ran flow moa.WEKAClassifier_LinearRegression(1) on task Supervised Data Stream Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, run_cpu_time: 0.02,
Joaquin Vanschoren 11 years ago
ran flow moa.OzaBagAdwin_HoeffdingTree(1) on task Supervised Data Stream Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6703, kappa: 0.4, kb_relative_information_score: 3.7995, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.8125, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6263, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.549, root_relative_squared_error: 1.098, run_cpu_time: 0.32,
Joaquin Vanschoren 11 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142, run_cpu_time: 0.04,
Joaquin Vanschoren 11 years ago
ran flow moa.ASHoeffdingTree(1) on task Supervised Data Stream Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6703, kappa: 0.4, kb_relative_information_score: 3.9618, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.8125, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6052, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5478, root_relative_squared_error: 1.0956,
Joaquin Vanschoren 11 years ago
ran flow moa.SPegasos(1) on task Supervised Data Stream Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5238, kappa: 0.2, kb_relative_information_score: 2, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7778, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649,
Joaquin Vanschoren 11 years ago
ran flow moa.LeveragingBag_kNN(1) on task Supervised Data Stream Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.3333, kb_relative_information_score: 2.2745, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5389, root_relative_squared_error: 1.0778, run_cpu_time: 0.01,
Joaquin Vanschoren 11 years ago
ran flow moa.FIMTDD(1) on task Supervised Data Stream Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
Joaquin Vanschoren 11 years ago
ran flow moa.kNN(1) on task Supervised Data Stream Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.3333, kb_relative_information_score: 2.2745, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5389, root_relative_squared_error: 1.0778, run_cpu_time: 0.01,
Joaquin Vanschoren 11 years ago
ran flow moa.NaiveBayes(1) on task Supervised Data Stream Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6703, kappa: 0.4, kb_relative_information_score: 3.9618, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.8125, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6052, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5478, root_relative_squared_error: 1.0956, run_cpu_time: 0.05,
Jan van Rijn 11 years ago
ran flow moa.Perceptron(1) on task Supervised Data Stream Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, ram_hours: 0, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142, run_cpu_time: 0.0017,
Jan van Rijn 11 years ago
ran flow moa.HoeffdingTree(1) on task Supervised Data Stream Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6703, kappa: 0.4, kb_relative_information_score: 3.9618, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.8125, predictive_accuracy: 0.7, prior_entropy: 1, ram_hours: 0, recall: 0.7, relative_absolute_error: 0.6052, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5478, root_relative_squared_error: 1.0956, run_cpu_time: 0.0024,
Jan van Rijn 11 years ago
ran flow moa.OzaBoost_HoeffdingTree(1) on task Supervised Data Stream Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5238, kappa: 0.2, kb_relative_information_score: 1.4696, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7778, predictive_accuracy: 0.6, prior_entropy: 1, ram_hours: 0, recall: 0.6, relative_absolute_error: 0.8615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6399, root_relative_squared_error: 1.2798, run_cpu_time: 0.0304,
Jan van Rijn 11 years ago
ran flow moa.WEKAClassifier(1) on task Supervised Data Stream Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, ram_hours: 0, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, run_cpu_time: 0.0017,
Jan van Rijn 11 years ago
ran flow moa.WEKAClassifier_SMO_PolyKernel(1) on task Supervised Data Stream Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
Jan van Rijn 11 years ago
ran flow moa.OzaBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6703, kappa: 0.4, kb_relative_information_score: 3.7995, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.8125, predictive_accuracy: 0.7, prior_entropy: 1, ram_hours: 0, recall: 0.7, relative_absolute_error: 0.6263, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.549, root_relative_squared_error: 1.098, run_cpu_time: 0.0313,
Jan van Rijn 11 years ago
ran flow moa.HoeffdingAdaptiveTree(1) on task Supervised Data Stream Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6703, kappa: 0.4, kb_relative_information_score: 3.9324, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.8125, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5479, root_relative_squared_error: 1.0958,
Jan van Rijn 11 years ago
ran flow moa.WEKAClassifier_J48(1) on task Supervised Data Stream Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,

    Metric:

    Timeline

    Plotting contribution timeline

    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 trains (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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