Task
Supervised Data Stream Classification on BNG(anneal.ORIG,10000,1)

Supervised Data Stream Classification on BNG(anneal.ORIG,10000,1)

Task 7344 Supervised Data Stream Classification BNG(anneal.ORIG,10000,1) 29 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(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.8961, kappa: 0.7438, kb_relative_information_score: 369516.5896, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8947, predictive_accuracy: 0.9008, prior_entropy: 2.585, recall: 0.9008, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.8454,
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(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.8961, kappa: 0.7438, kb_relative_information_score: 369516.5896, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8947, predictive_accuracy: 0.9008, prior_entropy: 2.585, recall: 0.9008, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.8454,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingOptionTree(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.9029, kappa: 0.7565, kb_relative_information_score: 875968.1831, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9017, predictive_accuracy: 0.9053, prior_entropy: 2.585, recall: 0.9053, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.4297,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_J48(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9289, kappa: 0.8257, kb_relative_information_score: 906667.0556, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.928, predictive_accuracy: 0.9312, prior_entropy: 2.585, recall: 0.9312, relative_absolute_error: 0.1299, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.3574,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_SPegasos(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.0221, kappa: -0.0004, kb_relative_information_score: 18147.1192, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0124, predictive_accuracy: 0.1087, prior_entropy: 2.585, recall: 0.1087, relative_absolute_error: 1.0697, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5442, root_relative_squared_error: 1.4601,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_OneR(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.781, kappa: 0.4351, kb_relative_information_score: 804304.6024, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.78, predictive_accuracy: 0.8216, prior_entropy: 2.585, recall: 0.8216, relative_absolute_error: 0.2156, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.6412,
Jan van Rijn 10 years ago
ran flow moa.Perceptron(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5206, f_measure: 0.1094, kappa: 0.0093, kb_relative_information_score: -25083.9576, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7029, predictive_accuracy: 0.0683, prior_entropy: 2.585, recall: 0.0683, relative_absolute_error: 1.1158, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5549, root_relative_squared_error: 1.489,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.0221, kappa: -0.0004, kb_relative_information_score: 17556.0029, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0124, predictive_accuracy: 0.1083, prior_entropy: 2.585, recall: 0.1083, relative_absolute_error: 1.0701, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5449, root_relative_squared_error: 1.4622,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_SGD(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.0222, kappa: -0.0003, kb_relative_information_score: 18052.492, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0124, predictive_accuracy: 0.1085, prior_entropy: 2.585, recall: 0.1085, relative_absolute_error: 1.07, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5438, root_relative_squared_error: 1.4591,
Jan van Rijn 10 years ago
ran flow moa.NoChange(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.5966, kappa: -0.0008, kb_relative_information_score: 555599.1671, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.5966, predictive_accuracy: 0.5966, prior_entropy: 2.585, recall: 0.5966, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.9839,
Jan van Rijn 10 years ago
ran flow moa.RandomHoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8038, kappa: 0.4831, kb_relative_information_score: 773832.5297, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8026, predictive_accuracy: 0.8232, prior_entropy: 2.585, recall: 0.8232, relative_absolute_error: 0.3054, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.5593,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_Logistic(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9066, kappa: 0.7684, kb_relative_information_score: 880447.0087, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9055, predictive_accuracy: 0.911, prior_entropy: 2.585, recall: 0.911, relative_absolute_error: 0.1669, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.4007,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8652, kappa: 0.6639, kb_relative_information_score: 839954.0797, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8723, predictive_accuracy: 0.8606, prior_entropy: 2.585, recall: 0.8606, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.5086,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7484, kappa: 0.3757, kb_relative_information_score: 733784.2691, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7066, predictive_accuracy: 0.807, prior_entropy: 2.585, recall: 0.807, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.5933,
Jan van Rijn 10 years ago
ran flow moa.OzaBoost_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9237, kappa: 0.8093, kb_relative_information_score: 822854.8298, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9229, predictive_accuracy: 0.9257, prior_entropy: 2.585, recall: 0.9257, relative_absolute_error: 0.2909, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.4301,
Jan van Rijn 10 years ago
ran flow moa.ADACC_NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8043, kappa: 0.5099, kb_relative_information_score: 772211.4264, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8122, predictive_accuracy: 0.7999, prior_entropy: 2.585, recall: 0.7999, relative_absolute_error: 0.282, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.6074,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingAdaptiveTree(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9027, kappa: 0.7571, kb_relative_information_score: 875697.1322, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9014, predictive_accuracy: 0.9058, prior_entropy: 2.585, recall: 0.9058, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.4343,
Jan van Rijn 10 years ago
ran flow moa.SPegasos(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.0221, kappa: -0.0005, kb_relative_information_score: 17877.4316, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0124, predictive_accuracy: 0.1086, prior_entropy: 2.585, recall: 0.1086, relative_absolute_error: 1.0697, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5451, root_relative_squared_error: 1.4627,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_REPTree(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9226, kappa: 0.8099, kb_relative_information_score: 896110.4873, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9215, predictive_accuracy: 0.9252, prior_entropy: 2.585, recall: 0.9252, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.3711,
Jan van Rijn 10 years ago
ran flow moa.MajorityClass(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.6559, kappa: -0, kb_relative_information_score: 630195.6754, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.5771, predictive_accuracy: 0.7597, prior_entropy: 2.585, recall: 0.7597, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.6954,
Jan van Rijn 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_JRip(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9231, kappa: 0.8096, kb_relative_information_score: 899365.9873, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9225, predictive_accuracy: 0.9264, prior_entropy: 2.585, recall: 0.9264, relative_absolute_error: 0.1422, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.137, root_relative_squared_error: 0.3676,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_kNN(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8556, kappa: 0.6491, kb_relative_information_score: 857332.8944, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8723, predictive_accuracy: 0.8794, prior_entropy: 2.585, recall: 0.8794, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.174, root_relative_squared_error: 0.4669,
Jan van Rijn 10 years ago
ran flow moa.ASHoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9025, kappa: 0.7569, kb_relative_information_score: 879726.0598, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9021, predictive_accuracy: 0.903, prior_entropy: 2.585, recall: 0.903, relative_absolute_error: 0.1571, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.4317,
Jan van Rijn 10 years ago
ran flow moa.OzaBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9122, kappa: 0.7803, kb_relative_information_score: 883813.9132, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9112, predictive_accuracy: 0.9145, prior_entropy: 2.585, recall: 0.9145, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3926,
Jan van Rijn 10 years ago
ran flow moa.kNN(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8557, kappa: 0.6498, kb_relative_information_score: 857333.5691, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8726, predictive_accuracy: 0.8795, prior_entropy: 2.585, recall: 0.8795, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.4671,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9268, kappa: 0.818, kb_relative_information_score: 901021.3881, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9264, predictive_accuracy: 0.9297, prior_entropy: 2.585, recall: 0.9297, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.3517,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9025, kappa: 0.7569, kb_relative_information_score: 879726.0598, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9021, predictive_accuracy: 0.903, prior_entropy: 2.585, recall: 0.903, relative_absolute_error: 0.1571, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.4317,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.0221, kappa: -0.0004, kb_relative_information_score: 17600.8909, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0124, predictive_accuracy: 0.1083, prior_entropy: 2.585, recall: 0.1083, relative_absolute_error: 1.07, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.4629,
Jan van Rijn 10 years ago
ran flow moa.NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,10000,1)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8039, kappa: 0.5088, kb_relative_information_score: 772170.1618, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8118, predictive_accuracy: 0.7994, prior_entropy: 2.585, recall: 0.7994, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.6092,

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    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 BNG(anneal.ORIG,10000,1) (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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