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Function: require_once

OpenML
Task
Supervised Data Stream Classification on shuttle-landing-control

Supervised Data Stream Classification on shuttle-landing-control

Task 2239 Supervised Data Stream Classification shuttle-landing-control 25 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
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Metric:

25 Runs

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0 likes - 0 downloads - 0 reach - f_measure: 0.8667, kappa: -0.0714, kb_relative_information_score: 7.1926, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.5, number_of_instances: 15, precision: 0.8667, predictive_accuracy: 0.8667, prior_entropy: 1, recall: 0.8667, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 13, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.5, number_of_instances: 15, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 1, recall: 0.9333, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5164, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 13, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.5, number_of_instances: 15, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 1, recall: 0.9333, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5164, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 13, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.5, number_of_instances: 15, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 1, recall: 0.9333, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5164, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 15, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 1, recall: 0.9333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 13, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.5, number_of_instances: 15, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 1, recall: 0.9333, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5164, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4643, f_measure: 0.8667, kappa: -0.0714, kb_relative_information_score: 11, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.5, number_of_instances: 15, precision: 0.8667, predictive_accuracy: 0.8667, prior_entropy: 1, recall: 0.8667, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.8667, kappa: -0.0714, kb_relative_information_score: 7.263, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.5, number_of_instances: 15, precision: 0.8667, predictive_accuracy: 0.8667, prior_entropy: 1, recall: 0.8667, relative_absolute_error: 0.5604, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 15, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 1, recall: 0.9333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 15, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 1, recall: 0.9333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 15, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 1, recall: 0.9333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4286, f_measure: 0.8296, kappa: -0.0976, kb_relative_information_score: 9, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.5, number_of_instances: 15, precision: 0.8615, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 13, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.5, number_of_instances: 15, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 1, recall: 0.9333, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.8667, kappa: -0.0714, kb_relative_information_score: 7.263, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.5, number_of_instances: 15, precision: 0.8667, predictive_accuracy: 0.8667, prior_entropy: 1, recall: 0.8667, relative_absolute_error: 0.5604, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4643, f_measure: 0.8667, kappa: -0.0714, kb_relative_information_score: 11, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.5, number_of_instances: 15, precision: 0.8667, predictive_accuracy: 0.8667, prior_entropy: 1, ram_hours: 0, recall: 0.8667, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7303, run_cpu_time: 0.0006,
0 likes - 0 downloads - 0 reach - f_measure: 0.8667, kappa: -0.0714, kb_relative_information_score: 7.1926, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.5, number_of_instances: 15, precision: 0.8667, predictive_accuracy: 0.8667, prior_entropy: 1, recall: 0.8667, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8288, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 13, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.5, number_of_instances: 15, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 1, ram_hours: 0, recall: 0.9333, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5164, run_cpu_time: 0.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 15, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 1, ram_hours: 0, recall: 0.9333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, run_cpu_time: 0.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 13, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.5, number_of_instances: 15, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 1, ram_hours: 0, recall: 0.9333, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5164, run_cpu_time: 0.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 13, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.5, number_of_instances: 15, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 1, ram_hours: 0, recall: 0.9333, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5164, run_cpu_time: 0.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.25, f_measure: 0.8667, kappa: -0.0714, kb_relative_information_score: 8.415, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.5, number_of_instances: 15, precision: 0.8667, predictive_accuracy: 0.8667, prior_entropy: 1, recall: 0.8667, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 13, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.5, number_of_instances: 15, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 1, ram_hours: 0, recall: 0.9333, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5164, run_cpu_time: 0.0097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 15, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 1, ram_hours: 0, recall: 0.9333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, run_cpu_time: 0.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 13, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.5, number_of_instances: 15, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 1, ram_hours: 0, recall: 0.9333, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5164, run_cpu_time: 0.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 13, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.5, number_of_instances: 15, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 1, recall: 0.9333, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5164,

    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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