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OpenML
Task
Supervised Data Stream Classification on BNG(lymph,1000,5)

Supervised Data Stream Classification on BNG(lymph,1000,5)

Task 7384 Supervised Data Stream Classification BNG(lymph,1000,5) 30 runs submitted
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30 Runs

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Jason 10 years ago
ran flow moa.LeveragingBag_Perceptron(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.7859, kappa: 0.616, kb_relative_information_score: 733547.7904, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.791, predictive_accuracy: 0.8042, prior_entropy: 2, recall: 0.8042, relative_absolute_error: 0.3209, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.6349,
Jason 10 years ago
ran flow moa.LeveragingBag_NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8559, kappa: 0.7325, kb_relative_information_score: 793108.6558, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8544, predictive_accuracy: 0.8582, prior_entropy: 2, recall: 0.8582, relative_absolute_error: 0.2597, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.5258,
Jason 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.3828, kappa: 0, kb_relative_information_score: 440538.0433, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.2954, predictive_accuracy: 0.5435, prior_entropy: 2, recall: 0.5435, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.0931,
Jason 10 years ago
ran flow moa.AccuracyWeightedEnsemble_W ... KAClassifier_SMO_PolyKernel(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.8396, kappa: 0.7008, kb_relative_information_score: 438945.9083, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8392, predictive_accuracy: 0.8401, prior_entropy: 2, recall: 0.8401, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.7752,
Jason 10 years ago
ran flow moa.LeveragingBag_SGD(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3828, kappa: 0, kb_relative_information_score: 448761.6532, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.2954, predictive_accuracy: 0.5435, prior_entropy: 2, recall: 0.5435, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.1033,
Jason 10 years ago
ran flow moa.LeveragingBag_SPegasos(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3828, kappa: 0, kb_relative_information_score: 448761.6532, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.2954, predictive_accuracy: 0.5435, prior_entropy: 2, recall: 0.5435, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.1033,
Jason 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_JRip(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.8337, kappa: 0.6915, kb_relative_information_score: 749524.9168, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.832, predictive_accuracy: 0.836, prior_entropy: 2, recall: 0.836, relative_absolute_error: 0.3153, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.579,
Jason 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_J48(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8265, kappa: 0.6775, kb_relative_information_score: 747286.2778, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8249, predictive_accuracy: 0.8284, prior_entropy: 2, recall: 0.8284, relative_absolute_error: 0.3126, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.595,
Jason 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7367, kappa: 0.5243, kb_relative_information_score: 624248.1176, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.736, predictive_accuracy: 0.7535, prior_entropy: 2, recall: 0.7535, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6987,
Jason 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_REPTree(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.7985, kappa: 0.6307, kb_relative_information_score: 705173.9015, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.7943, predictive_accuracy: 0.8066, prior_entropy: 2, recall: 0.8066, relative_absolute_error: 0.3676, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.6224,
Jason 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_OneR(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7349, kappa: 0.5214, kb_relative_information_score: 702534.0166, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.7204, predictive_accuracy: 0.7518, prior_entropy: 2, recall: 0.7518, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.7744,
Jason 10 years ago
ran flow moa.LeveragingBag_kNN(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.874, kappa: 0.783, kb_relative_information_score: 815278.946, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8892, predictive_accuracy: 0.8885, prior_entropy: 2, recall: 0.8885, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4747,
Jason 10 years ago
ran flow moa.LeveragingBag_kNN(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.874, kappa: 0.783, kb_relative_information_score: 815278.946, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8892, predictive_accuracy: 0.8885, prior_entropy: 2, recall: 0.8885, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4747,
Jason 10 years ago
ran flow moa.AccuracyWeightedEnsemble_WEKAClassifier_Logistic(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8267, kappa: 0.6771, kb_relative_information_score: 727563.7687, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8257, predictive_accuracy: 0.8279, prior_entropy: 2, recall: 0.8279, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.5868,
Jason 10 years ago
ran flow moa.Perceptron(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5404, f_measure: 0.4796, kappa: 0.1073, kb_relative_information_score: 492438.8866, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.6205, predictive_accuracy: 0.5795, prior_entropy: 2, recall: 0.5795, relative_absolute_error: 0.5614, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4564, root_relative_squared_error: 1.0541,
Jason 10 years ago
ran flow moa.ADACC_NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.5942, kappa: 0.2477, kb_relative_information_score: 498474.5095, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.6019, predictive_accuracy: 0.5876, prior_entropy: 2, recall: 0.5876, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.9637,
Jason 10 years ago
ran flow moa.HoeffdingOptionTree(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.6478, kappa: 0.3396, kb_relative_information_score: 537449.6454, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.6472, predictive_accuracy: 0.6635, prior_entropy: 2, recall: 0.6635, relative_absolute_error: 0.5723, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.336, root_relative_squared_error: 0.776,
Jason 10 years ago
ran flow moa.SPegasos(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3828, kappa: 0, kb_relative_information_score: 448761.6532, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.2954, predictive_accuracy: 0.5435, prior_entropy: 2, recall: 0.5435, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.1033,
Jason 10 years ago
ran flow moa.MajorityClass(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3829, kappa: 0, kb_relative_information_score: 441638.7296, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.4833, predictive_accuracy: 0.5435, prior_entropy: 2, recall: 0.5435, relative_absolute_error: 0.7141, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.8451,
Jason 10 years ago
ran flow moa.NoChange(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.4637, kappa: -0.0012, kb_relative_information_score: 352460.8254, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.4637, predictive_accuracy: 0.4637, prior_entropy: 2, recall: 0.4637, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5178, root_relative_squared_error: 1.1958,
Jason 10 years ago
ran flow moa.OzaBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.6545, kappa: 0.3533, kb_relative_information_score: 541360.0238, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.659, predictive_accuracy: 0.6714, prior_entropy: 2, recall: 0.6714, relative_absolute_error: 0.5764, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.7616,
Jason 10 years ago
ran flow moa.RandomHoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, f_measure: 0.5698, kappa: 0.1869, kb_relative_information_score: 477724.0542, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.5673, predictive_accuracy: 0.5918, prior_entropy: 2, recall: 0.5918, relative_absolute_error: 0.6486, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.8231,
Jason 10 years ago
ran flow moa.HoeffdingAdaptiveTree(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8499, kappa: 0.7221, kb_relative_information_score: 786859.7401, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8479, predictive_accuracy: 0.8531, prior_entropy: 2, recall: 0.8531, relative_absolute_error: 0.2642, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.5505,
Jason 10 years ago
ran flow moa.ASHoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.6327, kappa: 0.3094, kb_relative_information_score: 533921.4731, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.6307, predictive_accuracy: 0.6476, prior_entropy: 2, recall: 0.6476, relative_absolute_error: 0.5716, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.787,
Jason 10 years ago
ran flow moa.OzaBoost_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.6951, kappa: 0.4342, kb_relative_information_score: 513046.9645, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.6994, predictive_accuracy: 0.7103, prior_entropy: 2, recall: 0.7103, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.7486,
Jason 10 years ago
ran flow moa.LeveragingBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8724, kappa: 0.769, kb_relative_information_score: 797446.9648, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8739, predictive_accuracy: 0.8793, prior_entropy: 2, recall: 0.8793, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.4917,
Jason 10 years ago
ran flow moa.kNN(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.8729, kappa: 0.7806, kb_relative_information_score: 815584.5034, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.8883, predictive_accuracy: 0.8873, prior_entropy: 2, recall: 0.8873, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4752,
Jason 10 years ago
ran flow moa.HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.6327, kappa: 0.3094, kb_relative_information_score: 533921.4731, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.6307, predictive_accuracy: 0.6476, prior_entropy: 2, recall: 0.6476, relative_absolute_error: 0.5716, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.787,
Jason 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3828, kappa: 0, kb_relative_information_score: 448761.6532, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.2954, predictive_accuracy: 0.5435, prior_entropy: 2, recall: 0.5435, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.1033,
Jason 10 years ago
ran flow moa.NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(lymph,1000,5)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.5528, kappa: 0.1523, kb_relative_information_score: 465232.1168, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.375, number_of_instances: 1000000, precision: 0.5529, predictive_accuracy: 0.573, prior_entropy: 2, recall: 0.573, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.8292,

    Metric:

    Timeline

    Plotting contribution timeline

    Leaderboard

    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(lymph,1000,5) (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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