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OpenML
Task
Supervised Data Stream Classification on 20_newsgroups.drift

Supervised Data Stream Classification on 20_newsgroups.drift

Task 2269 Supervised Data Stream Classification 20_newsgroups.drift 167 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • binstreams streamensembles streams study_11
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167 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0048, kb_relative_information_score: -359946, mean_absolute_error: 0.95, mean_prior_absolute_error: 0.5, number_of_instances: 399940, precision: 0.0025, predictive_accuracy: 0.05, prior_entropy: 1, recall: 0.05, relative_absolute_error: 1.9, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.9747, root_relative_squared_error: 1.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.9281, kappa: 0.0406, kb_relative_information_score: 336509.0717, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.5, number_of_instances: 399940, precision: 0.9353, predictive_accuracy: 0.9505, prior_entropy: 1, recall: 0.9505, relative_absolute_error: 0.1774, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0048, kb_relative_information_score: -359946, mean_absolute_error: 0.95, mean_prior_absolute_error: 0.5, number_of_instances: 399940, precision: 0.0025, predictive_accuracy: 0.05, prior_entropy: 1, recall: 0.05, relative_absolute_error: 1.9, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.9747, root_relative_squared_error: 1.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0048, kb_relative_information_score: -359946, mean_absolute_error: 0.95, mean_prior_absolute_error: 0.5, number_of_instances: 399940, precision: 0.0025, predictive_accuracy: 0.05, prior_entropy: 1, recall: 0.05, relative_absolute_error: 1.9, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.9747, root_relative_squared_error: 1.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9843, kappa: 0.8426, kb_relative_information_score: 385241.2405, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.5, number_of_instances: 399940, precision: 0.9858, predictive_accuracy: 0.9837, prior_entropy: 1, recall: 0.9837, relative_absolute_error: 0.0376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.2323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0048, kb_relative_information_score: -359946, mean_absolute_error: 0.95, mean_prior_absolute_error: 0.5, number_of_instances: 399940, precision: 0.0025, predictive_accuracy: 0.05, prior_entropy: 1, recall: 0.05, relative_absolute_error: 1.9, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.9747, root_relative_squared_error: 1.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0048, kb_relative_information_score: -359946, mean_absolute_error: 0.95, mean_prior_absolute_error: 0.5, number_of_instances: 399940, precision: 0.0025, predictive_accuracy: 0.05, prior_entropy: 1, recall: 0.05, relative_absolute_error: 1.9, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.9747, root_relative_squared_error: 1.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.9625, kappa: 0.5703, kb_relative_information_score: 374983.3568, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.5, number_of_instances: 399940, precision: 0.962, predictive_accuracy: 0.966, prior_entropy: 1, recall: 0.966, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.3142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9957, kappa: 0.9548, kb_relative_information_score: 394755.318, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.5, number_of_instances: 399940, precision: 0.9957, predictive_accuracy: 0.9958, prior_entropy: 1, recall: 0.9958, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.059, root_relative_squared_error: 0.1181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0048, kb_relative_information_score: -359946, mean_absolute_error: 0.95, mean_prior_absolute_error: 0.5, number_of_instances: 399940, precision: 0.0025, predictive_accuracy: 0.05, prior_entropy: 1, recall: 0.05, relative_absolute_error: 1.9, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.9747, root_relative_squared_error: 1.9494,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5422, f_measure: 0.9324, kappa: 0.1029, kb_relative_information_score: 362111.041, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.5, number_of_instances: 399940, precision: 0.9542, predictive_accuracy: 0.9528, prior_entropy: 1, recall: 0.9528, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.0048, kb_relative_information_score: -358946, mean_absolute_error: 0.9488, mean_prior_absolute_error: 0.5, number_of_instances: 399940, precision: 0.0025, predictive_accuracy: 0.05, prior_entropy: 1, recall: 0.05, relative_absolute_error: 1.8975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.9737, root_relative_squared_error: 1.9474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.6212, kappa: 0.0559, kb_relative_information_score: -639.3226, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.5, number_of_instances: 399940, precision: 0.9366, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6986, root_relative_squared_error: 1.3973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9627, kappa: 0.6146, kb_relative_information_score: 353081.1173, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.5, number_of_instances: 399940, precision: 0.9635, predictive_accuracy: 0.962, prior_entropy: 1, recall: 0.962, relative_absolute_error: 0.1263, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.3935,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5146, f_measure: 0.926, kappa: 0.0063, kb_relative_information_score: 330231.052, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.5, number_of_instances: 399940, precision: 0.9271, predictive_accuracy: 0.95, prior_entropy: 1, recall: 0.95, relative_absolute_error: 0.1995, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4358,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.987, kappa: 0.8618, kb_relative_information_score: 384262.966, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.5, number_of_instances: 399940, precision: 0.9869, predictive_accuracy: 0.987, prior_entropy: 1, ram_hours: 0.023, recall: 0.987, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0998, root_relative_squared_error: 0.1995, run_cpu_time: 10247.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.9408, kappa: 0.28, kb_relative_information_score: 341064.1243, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.5, number_of_instances: 399940, precision: 0.9378, predictive_accuracy: 0.9509, prior_entropy: 1, ram_hours: 0, recall: 0.9509, relative_absolute_error: 0.1608, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.415, run_cpu_time: 69.5712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9986, kappa: 0.9851, kb_relative_information_score: 398082.903, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.5, number_of_instances: 399940, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 1, ram_hours: 0.002, recall: 0.9986, relative_absolute_error: 0.0051, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0347, root_relative_squared_error: 0.0694, run_cpu_time: 669.8518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.9649, kappa: 0.6308, kb_relative_information_score: 371824, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.5, number_of_instances: 399940, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 1, ram_hours: 0, recall: 0.9649, relative_absolute_error: 0.0703, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.375, run_cpu_time: 77.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.9652, kappa: 0.6334, kb_relative_information_score: 372096, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.5, number_of_instances: 399940, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 1, ram_hours: 0, recall: 0.9652, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.3732, run_cpu_time: 76.1528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.9654, kappa: 0.6359, kb_relative_information_score: 372270, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.5, number_of_instances: 399940, precision: 0.9654, predictive_accuracy: 0.9654, prior_entropy: 1, ram_hours: 0, recall: 0.9654, relative_absolute_error: 0.0692, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.186, root_relative_squared_error: 0.372, run_cpu_time: 72.7932,

    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

    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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