Task
Supervised Data Stream Classification on BNG(autos,5000,10)

Supervised Data Stream Classification on BNG(autos,5000,10)

Task 7379 Supervised Data Stream Classification BNG(autos,5000,10) 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,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0006, kappa: -0, kb_relative_information_score: -61044.8307, 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_JRip(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.6231, kappa: 0.5183, kb_relative_information_score: 552624.2918, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6232, predictive_accuracy: 0.6367, prior_entropy: 2.8074, recall: 0.6367, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.7643,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.66, kappa: 0.5635, kb_relative_information_score: 608563.5467, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.657, predictive_accuracy: 0.6663, prior_entropy: 2.8074, recall: 0.6663, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.7325,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.3538, kappa: 0.2112, kb_relative_information_score: 321911.7014, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4375, predictive_accuracy: 0.4422, prior_entropy: 2.8074, recall: 0.4422, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.9021,
Jan van Rijn 10 years ago
ran flow moa.Perceptron(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.0006, kappa: 0.0004, kb_relative_information_score: -57395.3206, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.3817, predictive_accuracy: 0.0047, prior_entropy: 2.8074, recall: 0.0047, relative_absolute_error: 1.1479, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.4698,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_J48(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.6383, kappa: 0.5367, kb_relative_information_score: 574116.7989, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6341, predictive_accuracy: 0.6465, prior_entropy: 2.8074, recall: 0.6465, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.7529,
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,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.661, kappa: 0.5661, kb_relative_information_score: 282894.3305, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6585, predictive_accuracy: 0.669, prior_entropy: 2.8074, recall: 0.669, relative_absolute_error: 0.8744, 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.LeveragingBag_kNN(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.641, kappa: 0.544, kb_relative_information_score: 578417.4612, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6473, predictive_accuracy: 0.6578, prior_entropy: 2.8074, recall: 0.6578, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.7463,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_REPTree(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.5057, kappa: 0.3641, kb_relative_information_score: 443098.182, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5033, predictive_accuracy: 0.522, prior_entropy: 2.8074, recall: 0.522, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.8529,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_SGD(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0006, kappa: -0, kb_relative_information_score: -61033.7149, 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_SPegasos(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0006, kb_relative_information_score: -61039.4346, 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.ADACC_NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.4407, kappa: 0.2774, kb_relative_information_score: 386985.1777, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4365, predictive_accuracy: 0.4498, prior_entropy: 2.8074, recall: 0.4498, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.8971,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_OneR(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5688, f_measure: 0.3311, kappa: 0.1317, kb_relative_information_score: 297757.2508, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.3227, predictive_accuracy: 0.3496, prior_entropy: 2.8074, recall: 0.3496, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4289, root_relative_squared_error: 1.2256,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingOptionTree(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.524, kappa: 0.3863, kb_relative_information_score: 466157.3235, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5199, predictive_accuracy: 0.534, prior_entropy: 2.8074, recall: 0.534, relative_absolute_error: 0.6551, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.8611,
Jan van Rijn 10 years ago
ran flow moa.SPegasos(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0006, kb_relative_information_score: -61039.4346, 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.HoeffdingAdaptiveTree(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.6125, kappa: 0.5002, kb_relative_information_score: 564843.7179, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.61, predictive_accuracy: 0.618, prior_entropy: 2.8074, recall: 0.618, relative_absolute_error: 0.5422, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.801,
Jan van Rijn 10 years ago
ran flow moa.MajorityClass(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,10)
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,5000,10)
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,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.3948, kappa: 0.2234, kb_relative_information_score: 340231.5861, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.3963, predictive_accuracy: 0.4219, prior_entropy: 2.8074, recall: 0.4219, relative_absolute_error: 0.7937, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.9112,
Jan van Rijn 10 years ago
ran flow moa.OzaBoost_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.5266, kappa: 0.3884, kb_relative_information_score: 457427.433, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5228, predictive_accuracy: 0.5353, prior_entropy: 2.8074, recall: 0.5353, relative_absolute_error: 0.6801, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.8433,
Jan van Rijn 10 years ago
ran flow moa.ASHoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.5052, kappa: 0.3601, kb_relative_information_score: 453791.7758, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5018, predictive_accuracy: 0.5134, prior_entropy: 2.8074, recall: 0.5134, relative_absolute_error: 0.6645, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.307, root_relative_squared_error: 0.8774,
Jan van Rijn 10 years ago
ran flow moa.OzaBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.519, kappa: 0.3793, kb_relative_information_score: 462617.2708, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5157, predictive_accuracy: 0.5305, prior_entropy: 2.8074, recall: 0.5305, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.296, root_relative_squared_error: 0.8458,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.6339, kappa: 0.5316, kb_relative_information_score: 565109.7183, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.633, predictive_accuracy: 0.6459, prior_entropy: 2.8074, recall: 0.6459, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.7558,
Jan van Rijn 10 years ago
ran flow moa.kNN(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.6402, kappa: 0.5426, kb_relative_information_score: 578701.5129, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6469, predictive_accuracy: 0.6569, prior_entropy: 2.8074, recall: 0.6569, relative_absolute_error: 0.5639, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.7466,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.5052, kappa: 0.3601, kb_relative_information_score: 453791.7758, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5018, predictive_accuracy: 0.5134, prior_entropy: 2.8074, recall: 0.5134, relative_absolute_error: 0.6645, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.307, root_relative_squared_error: 0.8774,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(autos,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0006, kappa: -0, kb_relative_information_score: -61040.5138, 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,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.4406, kappa: 0.2773, kb_relative_information_score: 386995.1146, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4364, predictive_accuracy: 0.4498, prior_entropy: 2.8074, recall: 0.4498, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.8969,

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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,5000,10) (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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