Task
Supervised Data Stream Classification on BNG(anneal.ORIG,5000,10)

Supervised Data Stream Classification on BNG(anneal.ORIG,5000,10)

Task 7343 Supervised Data Stream Classification BNG(anneal.ORIG,5000,10) 29 runs submitted
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Jan van Rijn 9 years ago
ran flow moa.LeveragingBag_Perceptron(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4887, f_measure: 0.6536, kappa: -0.0008, kb_relative_information_score: 687371.7841, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.5984, predictive_accuracy: 0.7498, prior_entropy: 2.585, recall: 0.7498, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.7427,
Jan van Rijn 9 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_Logistic(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9218, kappa: 0.8058, kb_relative_information_score: 880077.5735, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9205, predictive_accuracy: 0.9239, prior_entropy: 2.585, recall: 0.9239, relative_absolute_error: 0.1726, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.3847,
Jan van Rijn 9 years ago
ran flow moa.ASHoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8441, kappa: 0.6034, kb_relative_information_score: 804972.7946, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8412, predictive_accuracy: 0.8513, prior_entropy: 2.585, recall: 0.8513, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.54,
Jan van Rijn 9 years ago
ran flow moa.SPegasos(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.022, kappa: 0.0001, kb_relative_information_score: 18623.3201, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0123, predictive_accuracy: 0.1093, prior_entropy: 2.585, recall: 0.1093, relative_absolute_error: 1.0689, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5449, root_relative_squared_error: 1.4621,
Jan van Rijn 9 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_OneR(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.7813, kappa: 0.4447, kb_relative_information_score: 797364.0533, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7859, predictive_accuracy: 0.8118, prior_entropy: 2.585, recall: 0.8118, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.6398,
Jan van Rijn 9 years ago
ran flow moa.NoChange(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
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 9 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.7448, kappa: 0.3897, kb_relative_information_score: 720530.5953, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7345, predictive_accuracy: 0.7895, prior_entropy: 2.585, recall: 0.7895, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.223, root_relative_squared_error: 0.5983,
Jan van Rijn 9 years ago
ran flow moa.LeveragingBag_SPegasos(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.022, kappa: 0, kb_relative_information_score: 18735.1833, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0123, predictive_accuracy: 0.1093, prior_entropy: 2.585, recall: 0.1093, relative_absolute_error: 1.0689, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.4599,
Jan van Rijn 9 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_J48(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9166, kappa: 0.7957, kb_relative_information_score: 884527.9186, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9151, predictive_accuracy: 0.9198, prior_entropy: 2.585, recall: 0.9198, relative_absolute_error: 0.1624, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.144, root_relative_squared_error: 0.3864,
Jan van Rijn 9 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_REPTree(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9064, kappa: 0.77, kb_relative_information_score: 871811.9406, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9046, predictive_accuracy: 0.9117, prior_entropy: 2.585, recall: 0.9117, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.4031,
Jan van Rijn 9 years ago
ran flow moa.Perceptron(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.012, kappa: -0.0001, kb_relative_information_score: -83692.5239, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.6155, predictive_accuracy: 0.0152, prior_entropy: 2.585, recall: 0.0152, relative_absolute_error: 1.1803, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5715, root_relative_squared_error: 1.5336,
Jan van Rijn 9 years ago
ran flow moa.AccuracyWeightedEnsemble_W ... KAClassifier_SMO_PolyKernel(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.9184, kappa: 0.797, kb_relative_information_score: 371261.1191, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.918, predictive_accuracy: 0.9194, prior_entropy: 2.585, recall: 0.9194, relative_absolute_error: 0.8097, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.8436,
Jan van Rijn 9 years ago
ran flow moa.LeveragingBag_SGD(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.0221, kappa: 0.0002, kb_relative_information_score: 18735.7415, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0123, predictive_accuracy: 0.1093, prior_entropy: 2.585, recall: 0.1093, relative_absolute_error: 1.069, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5437, root_relative_squared_error: 1.4589,
Jan van Rijn 9 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_JRip(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9185, kappa: 0.7994, kb_relative_information_score: 887760.0989, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9169, predictive_accuracy: 0.9229, prior_entropy: 2.585, recall: 0.9229, relative_absolute_error: 0.1605, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.3787,
Jan van Rijn 9 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.0221, kappa: 0.0001, kb_relative_information_score: 18471.7357, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0123, predictive_accuracy: 0.1091, prior_entropy: 2.585, recall: 0.1091, relative_absolute_error: 1.0691, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5447, root_relative_squared_error: 1.4617,
Jan van Rijn 9 years ago
ran flow moa.OzaBoost_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.8922, kappa: 0.7301, kb_relative_information_score: 771550.5257, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.89, predictive_accuracy: 0.8974, prior_entropy: 2.585, recall: 0.8974, relative_absolute_error: 0.355, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.4897,
Jan van Rijn 9 years ago
ran flow moa.MajorityClass(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
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 9 years ago
ran flow moa.RandomHoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7532, kappa: 0.3381, kb_relative_information_score: 709607.3181, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.747, predictive_accuracy: 0.7883, prior_entropy: 2.585, recall: 0.7883, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.6265,
Jan van Rijn 9 years ago
ran flow moa.LeveragingBag_NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9113, kappa: 0.7785, kb_relative_information_score: 888525.405, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9134, predictive_accuracy: 0.9098, prior_entropy: 2.585, recall: 0.9098, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.4049,
Jan van Rijn 9 years ago
ran flow moa.ADACC_NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7466, kappa: 0.3573, kb_relative_information_score: 701056.4631, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7432, predictive_accuracy: 0.7522, prior_entropy: 2.585, recall: 0.7522, relative_absolute_error: 0.3776, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.245, root_relative_squared_error: 0.6574,
Jan van Rijn 9 years ago
ran flow moa.HoeffdingOptionTree(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.8422, kappa: 0.5977, kb_relative_information_score: 801063.471, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8389, predictive_accuracy: 0.8505, prior_entropy: 2.585, recall: 0.8505, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.202, root_relative_squared_error: 0.542,
Jan van Rijn 9 years ago
ran flow moa.HoeffdingAdaptiveTree(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.9052, kappa: 0.7606, kb_relative_information_score: 880056.102, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9048, predictive_accuracy: 0.9068, prior_entropy: 2.585, recall: 0.9068, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.4291,
Jan van Rijn 9 years ago
ran flow moa.LeveragingBag_kNN(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8759, kappa: 0.6887, kb_relative_information_score: 863957.0477, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8863, predictive_accuracy: 0.8917, prior_entropy: 2.585, recall: 0.8917, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.4381,
Jan van Rijn 9 years ago
ran flow moa.OzaBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.8618, kappa: 0.6507, kb_relative_information_score: 818332.9483, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8594, predictive_accuracy: 0.8718, prior_entropy: 2.585, recall: 0.8718, relative_absolute_error: 0.2521, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4858,
Jan van Rijn 9 years ago
ran flow moa.kNN(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.876, kappa: 0.6894, kb_relative_information_score: 864366.6485, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8865, predictive_accuracy: 0.8919, prior_entropy: 2.585, recall: 0.8919, relative_absolute_error: 0.1828, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.4379,
Jan van Rijn 9 years ago
ran flow moa.LeveragingBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9266, kappa: 0.8177, kb_relative_information_score: 895508.0789, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9262, predictive_accuracy: 0.9302, prior_entropy: 2.585, recall: 0.9302, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1334, root_relative_squared_error: 0.3578,
Jan van Rijn 9 years ago
ran flow moa.HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8441, kappa: 0.6034, kb_relative_information_score: 804972.7946, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8412, predictive_accuracy: 0.8513, prior_entropy: 2.585, recall: 0.8513, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.54,
Jan van Rijn 9 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.0221, kappa: 0.0002, kb_relative_information_score: 18506.534, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0123, predictive_accuracy: 0.1092, prior_entropy: 2.585, recall: 0.1092, relative_absolute_error: 1.069, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5449, root_relative_squared_error: 1.4622,
Jan van Rijn 9 years ago
ran flow moa.NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(anneal.ORIG,5000,10)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7458, kappa: 0.355, kb_relative_information_score: 700373.1163, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7422, predictive_accuracy: 0.7513, prior_entropy: 2.585, recall: 0.7513, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.6592,

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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(anneal.ORIG,5000,10) (1)
    target_feature class

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    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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