Task
Supervised Data Stream Classification on vehicle

Supervised Data Stream Classification on vehicle

Task 2221 Supervised Data Stream Classification vehicle 25 runs submitted
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Jan van Rijn 11 years ago
ran flow moa.SPegasos(1) on task Supervised Data Stream Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5089, f_measure: 0.175, kappa: 0.0179, kb_relative_information_score: 98.5459, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.375, number_of_instances: 846, precision: 0.1429, predictive_accuracy: 0.2683, prior_entropy: 2, ram_hours: 0, recall: 0.2683, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.6048, root_relative_squared_error: 1.3968, run_cpu_time: 0.0053,
Jan van Rijn 11 years ago
ran flow moa.OzaBoostAdwin_HoeffdingTree(1) on task Supervised Data Stream Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6413, f_measure: 0.3618, kappa: 0.1906, kb_relative_information_score: 221.936, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.375, number_of_instances: 846, precision: 0.4357, predictive_accuracy: 0.3901, prior_entropy: 2, ram_hours: 0, recall: 0.3901, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5115, root_relative_squared_error: 1.1812, run_cpu_time: 0.1387,
Joaquin Vanschoren 11 years ago
ran flow moa.LeveragingBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.3819, kappa: 0.2416, kb_relative_information_score: 265.8865, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.375, number_of_instances: 846, precision: 0.466, predictive_accuracy: 0.4267, prior_entropy: 2, recall: 0.4267, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0886, run_cpu_time: 0.49,
Joaquin Vanschoren 11 years ago
ran flow moa.Perceptron(1) on task Supervised Data Stream Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1004, kb_relative_information_score: 80.4331, mean_absolute_error: 0.3747, mean_prior_absolute_error: 0.375, number_of_instances: 846, precision: 0.0628, predictive_accuracy: 0.2506, prior_entropy: 2, recall: 0.2506, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.6121, root_relative_squared_error: 1.4137, run_cpu_time: 0.01,
Joaquin Vanschoren 11 years ago
ran flow moa.RuleClassifier(1) on task Supervised Data Stream Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.1547, kappa: -0.0203, kb_relative_information_score: 18.2293, mean_absolute_error: 0.3746, mean_prior_absolute_error: 0.375, number_of_instances: 846, precision: 0.1527, predictive_accuracy: 0.2376, prior_entropy: 2, recall: 0.2376, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4353, root_relative_squared_error: 1.0052, run_cpu_time: 0.18,
Joaquin Vanschoren 11 years ago
ran flow moa.OzaBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.4031, kappa: 0.2586, kb_relative_information_score: 271.468, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.375, number_of_instances: 846, precision: 0.4863, predictive_accuracy: 0.4397, prior_entropy: 2, recall: 0.4397, relative_absolute_error: 0.7662, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4561, root_relative_squared_error: 1.0533, run_cpu_time: 0.25,
Joaquin Vanschoren 11 years ago
ran flow moa.ASHoeffdingTree(1) on task Supervised Data Stream Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.3636, kappa: 0.2248, kb_relative_information_score: 264.1157, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.375, number_of_instances: 846, precision: 0.4528, predictive_accuracy: 0.4137, prior_entropy: 2, recall: 0.4137, relative_absolute_error: 0.7734, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4765, root_relative_squared_error: 1.1005, run_cpu_time: 0.04,
Joaquin Vanschoren 11 years ago
ran flow moa.NoChange(1) on task Supervised Data Stream Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5049, f_measure: 0.2576, kappa: 0.0098, kb_relative_information_score: 87.6782, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.375, number_of_instances: 846, precision: 0.2576, predictive_accuracy: 0.2577, prior_entropy: 2, recall: 0.2577, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.6092, root_relative_squared_error: 1.407, run_cpu_time: 0.01,
Joaquin Vanschoren 11 years ago
ran flow moa.OzaBoost_HoeffdingTree(1) on task Supervised Data Stream Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6413, f_measure: 0.3618, kappa: 0.1906, kb_relative_information_score: 221.936, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.375, number_of_instances: 846, precision: 0.4357, predictive_accuracy: 0.3901, prior_entropy: 2, recall: 0.3901, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5115, root_relative_squared_error: 1.1812, run_cpu_time: 0.32,
Joaquin Vanschoren 11 years ago
ran flow moa.RandomHoeffdingTree(1) on task Supervised Data Stream Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.3382, kappa: 0.1702, kb_relative_information_score: 182.7217, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.375, number_of_instances: 846, precision: 0.3648, predictive_accuracy: 0.3735, prior_entropy: 2, recall: 0.3735, relative_absolute_error: 0.8746, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.9848, run_cpu_time: 0.03,
Joaquin Vanschoren 11 years ago
ran flow moa.WEKAClassifier_LinearRegression(1) on task Supervised Data Stream Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1004, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.375, number_of_instances: 846, precision: 0.0628, predictive_accuracy: 0.2506, prior_entropy: 2, recall: 0.2506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.433, root_relative_squared_error: 1, run_cpu_time: 0.02,
Joaquin Vanschoren 11 years ago
ran flow moa.LeveragingBag_kNN(1) on task Supervised Data Stream Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.6105, kappa: 0.5009, kb_relative_information_score: 410.3755, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.375, number_of_instances: 846, precision: 0.6075, predictive_accuracy: 0.6253, prior_entropy: 2, recall: 0.6253, relative_absolute_error: 0.6171, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.7915, run_cpu_time: 3.07,
Joaquin Vanschoren 11 years ago
ran flow moa.kNN(1) on task Supervised Data Stream Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.6155, kappa: 0.5072, kb_relative_information_score: 410.7863, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.375, number_of_instances: 846, precision: 0.6137, predictive_accuracy: 0.63, prior_entropy: 2, recall: 0.63, relative_absolute_error: 0.6165, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.7912, run_cpu_time: 0.23,
Jan van Rijn 11 years ago
ran flow moa.WEKAClassifier_J48(1) on task Supervised Data Stream Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1004, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.375, number_of_instances: 846, precision: 0.0628, predictive_accuracy: 0.2506, prior_entropy: 2, ram_hours: 0, recall: 0.2506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.433, root_relative_squared_error: 1, run_cpu_time: 0.0092,
Joaquin Vanschoren 11 years ago
ran flow moa.WEKAClassifier_REPTree(1) on task Supervised Data Stream Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1004, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.375, number_of_instances: 846, precision: 0.0628, predictive_accuracy: 0.2506, prior_entropy: 2, recall: 0.2506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.433, root_relative_squared_error: 1, run_cpu_time: 0.02,
Joaquin Vanschoren 11 years ago
ran flow moa.WEKAClassifier_SMO_PolyKernel(1) on task Supervised Data Stream Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1004, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.375, number_of_instances: 846, precision: 0.0628, predictive_accuracy: 0.2506, prior_entropy: 2, recall: 0.2506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.433, root_relative_squared_error: 1, run_cpu_time: 0.03,
Joaquin Vanschoren 11 years ago
ran flow moa.WEKAClassifier_OneR(1) on task Supervised Data Stream Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1004, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.375, number_of_instances: 846, precision: 0.0628, predictive_accuracy: 0.2506, prior_entropy: 2, recall: 0.2506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.433, root_relative_squared_error: 1, run_cpu_time: 0.25,
Joaquin Vanschoren 11 years ago
ran flow moa.MajorityClass(1) on task Supervised Data Stream Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.1547, kappa: -0.0203, kb_relative_information_score: 18.2293, mean_absolute_error: 0.3746, mean_prior_absolute_error: 0.375, number_of_instances: 846, precision: 0.1527, predictive_accuracy: 0.2376, prior_entropy: 2, recall: 0.2376, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4353, root_relative_squared_error: 1.0052, run_cpu_time: 0.02,
Joaquin Vanschoren 11 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, f_measure: 0.1739, kappa: 0.0131, kb_relative_information_score: 94.9233, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.375, number_of_instances: 846, precision: 0.143, predictive_accuracy: 0.2648, prior_entropy: 2, recall: 0.2648, relative_absolute_error: 0.9803, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.6063, root_relative_squared_error: 1.4002, run_cpu_time: 0.03,
Jan van Rijn 11 years ago
ran flow moa.NaiveBayes(1) on task Supervised Data Stream Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.3673, kappa: 0.2276, kb_relative_information_score: 265.2758, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.375, number_of_instances: 846, precision: 0.4475, predictive_accuracy: 0.4161, prior_entropy: 2, ram_hours: 0, recall: 0.4161, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4806, root_relative_squared_error: 1.1098, run_cpu_time: 0.0162,
Jan van Rijn 11 years ago
ran flow moa.OzaBagAdwin_HoeffdingTree(1) on task Supervised Data Stream Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.4031, kappa: 0.2586, kb_relative_information_score: 271.468, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.375, number_of_instances: 846, precision: 0.4863, predictive_accuracy: 0.4397, prior_entropy: 2, ram_hours: 0, recall: 0.4397, relative_absolute_error: 0.7662, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4561, root_relative_squared_error: 1.0533, run_cpu_time: 0.1962,
Jan van Rijn 11 years ago
ran flow moa.WEKAClassifier(1) on task Supervised Data Stream Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1004, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.375, number_of_instances: 846, precision: 0.0628, predictive_accuracy: 0.2506, prior_entropy: 2, ram_hours: 0, recall: 0.2506, relative_absolute_error: 1, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.433, root_relative_squared_error: 1, run_cpu_time: 0.01,
Jan van Rijn 11 years ago
ran flow moa.HoeffdingAdaptiveTree(1) on task Supervised Data Stream Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.3936, kappa: 0.2446, kb_relative_information_score: 260.7289, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.375, number_of_instances: 846, precision: 0.4723, predictive_accuracy: 0.4291, prior_entropy: 2, ram_hours: 0, recall: 0.4291, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4809, root_relative_squared_error: 1.1105, run_cpu_time: 0.03,
Jan van Rijn 11 years ago
ran flow moa.HoeffdingTree(1) on task Supervised Data Stream Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.3636, kappa: 0.2248, kb_relative_information_score: 264.1157, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.375, number_of_instances: 846, precision: 0.4528, predictive_accuracy: 0.4137, prior_entropy: 2, ram_hours: 0, recall: 0.4137, relative_absolute_error: 0.7734, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4765, root_relative_squared_error: 1.1005, run_cpu_time: 0.03,
Jan van Rijn 11 years ago
ran flow moa.FIMTDD(1) on task Supervised Data Stream Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1004, kb_relative_information_score: 80.4331, mean_absolute_error: 0.3747, mean_prior_absolute_error: 0.375, number_of_instances: 846, precision: 0.0628, predictive_accuracy: 0.2506, prior_entropy: 2, ram_hours: 0, recall: 0.2506, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.6121, root_relative_squared_error: 1.4137, run_cpu_time: 0.08,

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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 vehicle (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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