Task
Supervised Data Stream Classification on BNG(autos,10000,10)

Supervised Data Stream Classification on BNG(autos,10000,10)

Task 7382 Supervised Data Stream Classification BNG(autos,10000,10) 27 runs submitted
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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,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.6979, kappa: 0.6152, kb_relative_information_score: 291181.7074, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6956, predictive_accuracy: 0.706, prior_entropy: 2.8074, recall: 0.706, relative_absolute_error: 0.8699, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.8949,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_JRip(1) on task Supervised Data Stream Classification on data set BNG(autos,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.6721, kappa: 0.5843, kb_relative_information_score: 592628.4468, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6765, predictive_accuracy: 0.6872, prior_entropy: 2.8074, recall: 0.6872, relative_absolute_error: 0.5503, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.7224,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(autos,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0006, kappa: -0, kb_relative_information_score: -61048.0683, 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_SGD(1) on task Supervised Data Stream Classification on data set BNG(autos,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0006, kb_relative_information_score: -61028.5019, 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,10000,10)
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,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.6896, kappa: 0.6056, kb_relative_information_score: 617720.5435, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6861, predictive_accuracy: 0.6994, prior_entropy: 2.8074, recall: 0.6994, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.7054,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier(1) on task Supervised Data Stream Classification on data set BNG(autos,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.3582, kappa: 0.2244, kb_relative_information_score: 329389.9975, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4938, predictive_accuracy: 0.4518, prior_entropy: 2.8074, recall: 0.4518, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.315, root_relative_squared_error: 0.9002,
Jan van Rijn 10 years ago
ran flow moa.ADACC_NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(autos,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.5266, kappa: 0.3926, kb_relative_information_score: 469497.2972, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.522, predictive_accuracy: 0.5348, prior_entropy: 2.8074, recall: 0.5348, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.8444,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(autos,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.6946, kappa: 0.6086, kb_relative_information_score: 645392.0697, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6914, predictive_accuracy: 0.6999, prior_entropy: 2.8074, recall: 0.6999, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.6995,
Jan van Rijn 10 years ago
ran flow moa.Perceptron(1) on task Supervised Data Stream Classification on data set BNG(autos,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.0932, kappa: 0.001, kb_relative_information_score: 157968.6855, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.2236, 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: 0.4403, root_relative_squared_error: 1.2581,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_REPTree(1) on task Supervised Data Stream Classification on data set BNG(autos,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.5501, kappa: 0.4244, kb_relative_information_score: 478867.8906, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5479, predictive_accuracy: 0.5673, prior_entropy: 2.8074, recall: 0.5673, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.8168,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_kNN(1) on task Supervised Data Stream Classification on data set BNG(autos,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.6688, kappa: 0.5814, kb_relative_information_score: 609860.0853, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6728, predictive_accuracy: 0.6854, prior_entropy: 2.8074, recall: 0.6854, relative_absolute_error: 0.5267, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.252, root_relative_squared_error: 0.7201,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_OneR(1) on task Supervised Data Stream Classification on data set BNG(autos,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6226, f_measure: 0.3474, kappa: 0.1554, kb_relative_information_score: 339373.8922, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.3382, predictive_accuracy: 0.3688, prior_entropy: 2.8074, recall: 0.3688, relative_absolute_error: 0.729, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.154,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingOptionTree(1) on task Supervised Data Stream Classification on data set BNG(autos,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.611, kappa: 0.5014, kb_relative_information_score: 559146.3019, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6067, predictive_accuracy: 0.6193, prior_entropy: 2.8074, recall: 0.6193, relative_absolute_error: 0.5494, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.7938,
Jan van Rijn 10 years ago
ran flow moa.SPegasos(1) on task Supervised Data Stream Classification on data set BNG(autos,10000,10)
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,10000,10)
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,10000,10)
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,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.4685, kappa: 0.3239, kb_relative_information_score: 397578.0279, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4673, predictive_accuracy: 0.4949, prior_entropy: 2.8074, recall: 0.4949, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.307, root_relative_squared_error: 0.8773,
Jan van Rijn 10 years ago
ran flow moa.OzaBoost_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(autos,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.614, kappa: 0.5043, kb_relative_information_score: 547605.58, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6098, predictive_accuracy: 0.62, prior_entropy: 2.8074, recall: 0.62, relative_absolute_error: 0.5826, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.7734,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingAdaptiveTree(1) on task Supervised Data Stream Classification on data set BNG(autos,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.6629, kappa: 0.567, kb_relative_information_score: 619100.8075, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6597, predictive_accuracy: 0.6679, prior_entropy: 2.8074, recall: 0.6679, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.7531,
Jan van Rijn 10 years ago
ran flow moa.ASHoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(autos,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.5998, kappa: 0.4849, kb_relative_information_score: 554470.5618, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5966, predictive_accuracy: 0.6049, prior_entropy: 2.8074, recall: 0.6049, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.8085,
Jan van Rijn 10 years ago
ran flow moa.OzaBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(autos,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.608, kappa: 0.4978, kb_relative_information_score: 555151.0578, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6031, predictive_accuracy: 0.6162, prior_entropy: 2.8074, recall: 0.6162, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.7793,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(autos,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.6799, kappa: 0.5921, kb_relative_information_score: 610696.6775, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.678, predictive_accuracy: 0.6906, prior_entropy: 2.8074, recall: 0.6906, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.7121,
Jan van Rijn 10 years ago
ran flow moa.kNN(1) on task Supervised Data Stream Classification on data set BNG(autos,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.6681, kappa: 0.5801, kb_relative_information_score: 609996.7486, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6722, predictive_accuracy: 0.6845, prior_entropy: 2.8074, recall: 0.6845, relative_absolute_error: 0.5264, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.7204,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(autos,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.5998, kappa: 0.4849, kb_relative_information_score: 554470.5618, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5966, predictive_accuracy: 0.6049, prior_entropy: 2.8074, recall: 0.6049, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.8085,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(autos,10000,10)
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.NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(autos,10000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.5264, kappa: 0.3924, kb_relative_information_score: 469353.9304, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5218, predictive_accuracy: 0.5346, prior_entropy: 2.8074, recall: 0.5346, relative_absolute_error: 0.6564, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.8446,

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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,10000,10) (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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