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Supervised Data Stream Classification on BNG(anneal,nominal,1000000)

Supervised Data Stream Classification on BNG(anneal,nominal,1000000)

Task 120 Supervised Data Stream Classification BNG(anneal,nominal,1000000) 122 runs submitted
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Jan van Rijn 10 years ago
ran flow moa.MajorityClass(1) on task Supervised Data Stream Classification on data set BNG(anneal,nominal,1000000)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.6557, kappa: -0, kb_relative_information_score: 630153.1546, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.5769, predictive_accuracy: 0.7595, prior_entropy: 2.585, ram_hours: 0, recall: 0.7595, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.6956, run_cpu_time: 17.98,
Jan van Rijn 10 years ago
ran flow moa.OzaBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal,nominal,1000000)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9443, kappa: 0.8641, kb_relative_information_score: 931756.2901, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9437, predictive_accuracy: 0.9462, prior_entropy: 2.585, ram_hours: 0.001, recall: 0.9462, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.3111, run_cpu_time: 157.16,
Jan van Rijn 10 years ago
ran flow moa.Perceptron(1) on task Supervised Data Stream Classification on data set BNG(anneal,nominal,1000000)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0002, kb_relative_information_score: -91401.2992, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0001, predictive_accuracy: 0.0094, prior_entropy: 2.585, ram_hours: 0, recall: 0.0094, relative_absolute_error: 1.1887, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5746, root_relative_squared_error: 1.5419, run_cpu_time: 15.32,
Jan van Rijn 10 years ago
ran flow moa.OzaBagAdwin_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal,nominal,1000000)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9443, kappa: 0.8641, kb_relative_information_score: 931771.6624, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9437, predictive_accuracy: 0.9461, prior_entropy: 2.585, ram_hours: 0.0013, recall: 0.9461, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.3108, run_cpu_time: 204.1,
Jan van Rijn 10 years ago
ran flow moa.FIMTDD(1) on task Supervised Data Stream Classification on data set BNG(anneal,nominal,1000000)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0002, kb_relative_information_score: -91401.2992, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0001, predictive_accuracy: 0.0094, prior_entropy: 2.585, ram_hours: 0, recall: 0.0094, relative_absolute_error: 1.1887, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5746, root_relative_squared_error: 1.5419, run_cpu_time: 10.87,
Jan van Rijn 10 years ago
ran flow moa.RuleClassifier(1) on task Supervised Data Stream Classification on data set BNG(anneal,nominal,1000000)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.7958, kappa: 0.5201, kb_relative_information_score: 754587.4631, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8019, predictive_accuracy: 0.8398, prior_entropy: 2.585, ram_hours: 0.0001, recall: 0.8398, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.5536, run_cpu_time: 77.18,
Jan van Rijn 10 years ago
ran flow moa.OzaBoost_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal,nominal,1000000)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9556, kappa: 0.8902, kb_relative_information_score: 875744.3113, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9552, predictive_accuracy: 0.9564, prior_entropy: 2.585, ram_hours: 0.0015, recall: 0.9564, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.132, root_relative_squared_error: 0.3543, run_cpu_time: 191.53,
Jan van Rijn 10 years ago
ran flow moa.NoChange(1) on task Supervised Data Stream Classification on data set BNG(anneal,nominal,1000000)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.5965, kappa: -0.0008, kb_relative_information_score: 555430.5985, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.5965, predictive_accuracy: 0.5965, prior_entropy: 2.585, ram_hours: 0, recall: 0.5965, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.9841, run_cpu_time: 12.93,
Jan van Rijn 10 years ago
ran flow moa.RandomHoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal,nominal,1000000)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.8588, kappa: 0.6486, kb_relative_information_score: 841427.7342, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8554, predictive_accuracy: 0.8687, prior_entropy: 2.585, ram_hours: 0, recall: 0.8687, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.4718, run_cpu_time: 24.15,
Jan van Rijn 10 years ago
ran flow moa.WEKAClassifier_OneR(1) on task Supervised Data Stream Classification on data set BNG(anneal,nominal,1000000)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, f_measure: 0.7577, kappa: 0.4258, kb_relative_information_score: 810613.0138, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.7203, predictive_accuracy: 0.828, prior_entropy: 2.585, ram_hours: 0, recall: 0.828, relative_absolute_error: 0.2062, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.239, root_relative_squared_error: 0.6414, run_cpu_time: 11.62,
Jan van Rijn 10 years ago
ran flow moa.WEKAClassifier_LinearRegression(1) on task Supervised Data Stream Classification on data set BNG(anneal,nominal,1000000)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0002, kb_relative_information_score: -91307.2559, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0001, predictive_accuracy: 0.0094, prior_entropy: 2.585, ram_hours: 0.0037, recall: 0.0094, relative_absolute_error: 1.1885, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.5414, run_cpu_time: 69.06,
Jan van Rijn 10 years ago
ran flow moa.WEKAClassifier_REPTree(1) on task Supervised Data Stream Classification on data set BNG(anneal,nominal,1000000)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.9129, kappa: 0.7906, kb_relative_information_score: 895711.0769, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9114, predictive_accuracy: 0.9183, prior_entropy: 2.585, ram_hours: 0, recall: 0.9183, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.4064, run_cpu_time: 12.81,
Jan van Rijn 10 years ago
ran flow moa.ASHoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal,nominal,1000000)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9414, kappa: 0.857, kb_relative_information_score: 929062.1959, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9406, predictive_accuracy: 0.9432, prior_entropy: 2.585, ram_hours: 0, recall: 0.9432, relative_absolute_error: 0.0939, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.328, run_cpu_time: 33.09,
Jan van Rijn 10 years ago
ran flow moa.WEKAClassifier_SMO_PolyKernel(1) on task Supervised Data Stream Classification on data set BNG(anneal,nominal,1000000)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.9231, kappa: 0.8122, kb_relative_information_score: 373910.2371, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9215, predictive_accuracy: 0.9256, prior_entropy: 2.585, ram_hours: 0, recall: 0.9256, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.8419, run_cpu_time: 22.57,
Jan van Rijn 10 years ago
ran flow moa.SPegasos(1) on task Supervised Data Stream Classification on data set BNG(anneal,nominal,1000000)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.022, kb_relative_information_score: 20056.7042, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0122, predictive_accuracy: 0.1106, prior_entropy: 2.585, ram_hours: 0, recall: 0.1106, relative_absolute_error: 1.0673, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5445, root_relative_squared_error: 1.461, run_cpu_time: 12.07,
Jan van Rijn 10 years ago
ran flow moa.WEKAClassifier(1) on task Supervised Data Stream Classification on data set BNG(anneal,nominal,1000000)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.8914, kappa: 0.7273, kb_relative_information_score: 861846.6489, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9154, predictive_accuracy: 0.8788, prior_entropy: 2.585, ram_hours: 0, recall: 0.8788, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.4782, run_cpu_time: 32.49,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_kNN(1) on task Supervised Data Stream Classification on data set BNG(anneal,nominal,1000000)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8568, kappa: 0.6377, kb_relative_information_score: 864443.7644, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8794, predictive_accuracy: 0.8802, prior_entropy: 2.585, ram_hours: 0.0022, recall: 0.8802, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.4536, run_cpu_time: 11284.26,
Jan van Rijn 10 years ago
ran flow moa.LeveragingBag_HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal,nominal,1000000)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9556, kappa: 0.8911, kb_relative_information_score: 945974.525, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9553, predictive_accuracy: 0.9567, prior_entropy: 2.585, ram_hours: 0.0055, recall: 0.9567, relative_absolute_error: 0.0737, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2793, run_cpu_time: 305.11,
Jan van Rijn 10 years ago
ran flow moa.HoeffdingTree(1) on task Supervised Data Stream Classification on data set BNG(anneal,nominal,1000000)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9414, kappa: 0.857, kb_relative_information_score: 929062.1959, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9406, predictive_accuracy: 0.9432, prior_entropy: 2.585, recall: 0.9432, relative_absolute_error: 0.0939, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.328,
Jan van Rijn 10 years ago
ran flow moa.kNN(1) on task Supervised Data Stream Classification on data set BNG(anneal,nominal,1000000)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8567, kappa: 0.6379, kb_relative_information_score: 864419.1687, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8788, predictive_accuracy: 0.8802, prior_entropy: 2.585, ram_hours: 0.0001, recall: 0.8802, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.4537, run_cpu_time: 593.57,
Jan van Rijn 10 years ago
ran flow moa.NaiveBayes(1) on task Supervised Data Stream Classification on data set BNG(anneal,nominal,1000000)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8965, kappa: 0.7351, kb_relative_information_score: 860489.6764, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.925, predictive_accuracy: 0.8812, prior_entropy: 2.585, ram_hours: 0, recall: 0.8812, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.4832, run_cpu_time: 32.4,
Jan van Rijn 10 years ago
ran flow moa.SGD(1) on task Supervised Data Stream Classification on data set BNG(anneal,nominal,1000000)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.022, kb_relative_information_score: 20056.7042, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0122, predictive_accuracy: 0.1106, prior_entropy: 2.585, ram_hours: 0, recall: 0.1106, relative_absolute_error: 1.0673, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5445, root_relative_squared_error: 1.461, run_cpu_time: 15.56,

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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,nominal,1000000) (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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