Task
Supervised Data Stream Classification on BNG(autos,5000,5)

Supervised Data Stream Classification on BNG(autos,5000,5)

Task 7378 Supervised Data Stream Classification BNG(autos,5000,5) 27 runs submitted
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Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0006, kappa: -0, kb_relative_information_score: -61042.6722, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0003, predictive_accuracy: 0.0168, prior_entropy: 2.8074, recall: 0.0168, relative_absolute_error: 1.147, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.53, root_relative_squared_error: 1.5146,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_SPegasos(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0006, kappa: -0, kb_relative_information_score: -61043.7514, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0003, predictive_accuracy: 0.0168, prior_entropy: 2.8074, recall: 0.0168, relative_absolute_error: 1.147, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.53, root_relative_squared_error: 1.5146,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_J48(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.6898, kappa: 0.6059, kb_relative_information_score: 617972.2416, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6866, predictive_accuracy: 0.6996, prior_entropy: 2.8074, recall: 0.6996, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.7053,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.3576, kappa: 0.2236, kb_relative_information_score: 329585.9139, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4761, predictive_accuracy: 0.4512, prior_entropy: 2.8074, recall: 0.4512, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.9,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_OneR(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.3477, kappa: 0.156, kb_relative_information_score: 339865.7628, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.3384, predictive_accuracy: 0.3694, prior_entropy: 2.8074, recall: 0.3694, relative_absolute_error: 0.7285, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4033, root_relative_squared_error: 1.1525,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_W ... KAClassifier_SMO_PolyKernel(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.699, kappa: 0.6167, kb_relative_information_score: 291397.9635, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6968, predictive_accuracy: 0.7071, prior_entropy: 2.8074, recall: 0.7071, relative_absolute_error: 0.8697, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.8947,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_JRip(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.6721, kappa: 0.5845, kb_relative_information_score: 592552.0837, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6763, predictive_accuracy: 0.6874, prior_entropy: 2.8074, recall: 0.6874, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.7222,
Jan van Rijn 10 years ago
ran flow moa.ADACC_NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.5281, kappa: 0.3945, kb_relative_information_score: 470847.468, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5234, predictive_accuracy: 0.5363, prior_entropy: 2.8074, recall: 0.5363, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.8435,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_SGD(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0006, kb_relative_information_score: -61028.6226, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0003, predictive_accuracy: 0.0168, prior_entropy: 2.8074, recall: 0.0168, relative_absolute_error: 1.147, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5298, root_relative_squared_error: 1.514,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.6948, kappa: 0.6088, kb_relative_information_score: 645887.119, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6916, predictive_accuracy: 0.7, prior_entropy: 2.8074, recall: 0.7, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.6992,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_kNN(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.6701, kappa: 0.583, kb_relative_information_score: 610722.2367, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.674, predictive_accuracy: 0.6865, prior_entropy: 2.8074, recall: 0.6865, relative_absolute_error: 0.5258, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.7191,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_REPTree(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.5505, kappa: 0.4249, kb_relative_information_score: 479303.6917, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5483, predictive_accuracy: 0.5678, prior_entropy: 2.8074, recall: 0.5678, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.8166,
Jan van Rijn 10 years ago
ran flow moa.Perceptron(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.0932, kappa: 0.001, kb_relative_information_score: 157962.8118, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.087, predictive_accuracy: 0.1467, prior_entropy: 2.8074, recall: 0.1467, relative_absolute_error: 0.9334, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4404, root_relative_squared_error: 1.2585,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingOptionTree(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.6276, kappa: 0.5236, kb_relative_information_score: 572837.7795, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6229, predictive_accuracy: 0.636, prior_entropy: 2.8074, recall: 0.636, relative_absolute_error: 0.5364, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.7757,
Jan van Rijn 10 years ago
ran flow moa.SPegasos(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0006, kappa: -0, kb_relative_information_score: -61042.6722, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0003, predictive_accuracy: 0.0168, prior_entropy: 2.8074, recall: 0.0168, relative_absolute_error: 1.147, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.53, root_relative_squared_error: 1.5146,
Jan van Rijn 10 years ago
ran flow moa.MajorityClass(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.1583, kappa: 0, kb_relative_information_score: 219590.693, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.1756, predictive_accuracy: 0.3236, prior_entropy: 2.8074, recall: 0.3236, relative_absolute_error: 0.9023, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.9499,
Jan van Rijn 10 years ago
ran flow moa.NoChange(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.2259, kappa: -0.0008, kb_relative_information_score: 164591.5472, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.2259, predictive_accuracy: 0.2259, prior_entropy: 2.8074, recall: 0.2259, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4703, root_relative_squared_error: 1.344,
Jan van Rijn 10 years ago
ran flow moa.RandomHoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.4583, kappa: 0.3114, kb_relative_information_score: 388487.9313, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4588, predictive_accuracy: 0.4854, prior_entropy: 2.8074, recall: 0.4854, relative_absolute_error: 0.7479, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.8821,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingAdaptiveTree(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.653, kappa: 0.5535, kb_relative_information_score: 606122.3514, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6503, predictive_accuracy: 0.6579, prior_entropy: 2.8074, recall: 0.6579, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.7679,
Jan van Rijn 10 years ago
ran flow moa.OzaBoost_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.6238, kappa: 0.5183, kb_relative_information_score: 550454.7283, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6188, predictive_accuracy: 0.6323, prior_entropy: 2.8074, recall: 0.6323, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.7651,
Jan van Rijn 10 years ago
ran flow moa.ASHoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.6054, kappa: 0.4935, kb_relative_information_score: 554498.7999, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6014, predictive_accuracy: 0.612, prior_entropy: 2.8074, recall: 0.612, relative_absolute_error: 0.5555, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.7998,
Jan van Rijn 10 years ago
ran flow moa.OzaBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.6168, kappa: 0.5105, kb_relative_information_score: 559375.4008, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.612, predictive_accuracy: 0.6273, prior_entropy: 2.8074, recall: 0.6273, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.7695,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.6796, kappa: 0.5916, kb_relative_information_score: 611790.3537, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6777, predictive_accuracy: 0.6901, prior_entropy: 2.8074, recall: 0.6901, relative_absolute_error: 0.5158, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.7129,
Jan van Rijn 10 years ago
ran flow moa.kNN(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.6696, kappa: 0.5819, kb_relative_information_score: 610891.9739, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6736, predictive_accuracy: 0.6858, prior_entropy: 2.8074, recall: 0.6858, relative_absolute_error: 0.5255, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.7195,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.6054, kappa: 0.4935, kb_relative_information_score: 554498.7999, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6014, predictive_accuracy: 0.612, prior_entropy: 2.8074, recall: 0.612, relative_absolute_error: 0.5555, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.7998,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0006, kappa: -0, kb_relative_information_score: -61041.593, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0003, predictive_accuracy: 0.0168, prior_entropy: 2.8074, recall: 0.0168, relative_absolute_error: 1.147, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.53, root_relative_squared_error: 1.5146,
Jan van Rijn 10 years ago
ran flow moa.NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.5279, kappa: 0.3943, kb_relative_information_score: 470698.5461, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5232, predictive_accuracy: 0.5361, prior_entropy: 2.8074, recall: 0.5361, relative_absolute_error: 0.655, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.8437,

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    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(autos,5000,5) (1)
    target_feature symboling

    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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