Task
Supervised Data Stream Classification on BNG(letter,10000,5)

Supervised Data Stream Classification on BNG(letter,10000,5)

Task 7363 Supervised Data Stream Classification BNG(letter,10000,5) 29 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

29 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.4308, kappa: 0.4148, kb_relative_information_score: 440629.9328, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4295, predictive_accuracy: 0.4374, prior_entropy: 4.7004, recall: 0.4374, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.8701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.4249, kappa: 0.4036, kb_relative_information_score: 448833.6362, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4257, predictive_accuracy: 0.4266, prior_entropy: 4.7004, recall: 0.4266, relative_absolute_error: 0.7727, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.8668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.4744, kappa: 0.4556, kb_relative_information_score: 518829.2109, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4764, predictive_accuracy: 0.4766, prior_entropy: 4.7004, recall: 0.4766, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.8496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.5208, kappa: 0.5039, kb_relative_information_score: 549467.2602, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.5239, predictive_accuracy: 0.523, prior_entropy: 4.7004, recall: 0.523, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.0038, kappa: 0.0004, kb_relative_information_score: 28085.4016, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3281, predictive_accuracy: 0.0396, prior_entropy: 4.7004, recall: 0.0396, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2718, root_relative_squared_error: 1.4132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.4737, kappa: 0.4593, kb_relative_information_score: 461911.9083, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4775, predictive_accuracy: 0.4802, prior_entropy: 4.7004, recall: 0.4802, relative_absolute_error: 0.7588, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.0038, kappa: -0, kb_relative_information_score: 28183.7288, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0031, predictive_accuracy: 0.0394, prior_entropy: 4.7004, recall: 0.0394, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2713, root_relative_squared_error: 1.4109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.0816, kappa: 0.0486, kb_relative_information_score: 129205.9581, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0821, predictive_accuracy: 0.0854, prior_entropy: 4.7004, recall: 0.0854, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2302, root_relative_squared_error: 1.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.4012, kappa: 0.3851, kb_relative_information_score: 450449.36, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.406, predictive_accuracy: 0.4088, prior_entropy: 4.7004, recall: 0.4088, relative_absolute_error: 0.734, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.8857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.4012, kappa: 0.3851, kb_relative_information_score: 450449.36, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.406, predictive_accuracy: 0.4088, prior_entropy: 4.7004, recall: 0.4088, relative_absolute_error: 0.734, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.8857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6522, f_measure: 0.0702, kappa: 0.0413, kb_relative_information_score: 87134.3347, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0769, predictive_accuracy: 0.0787, prior_entropy: 4.7004, recall: 0.0787, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.191, root_relative_squared_error: 0.9934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.4854, kappa: 0.4669, kb_relative_information_score: 528456.3242, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4874, predictive_accuracy: 0.4874, prior_entropy: 4.7004, recall: 0.4874, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.8369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.2176, kappa: 0.1976, kb_relative_information_score: 263441.193, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.2243, predictive_accuracy: 0.2286, prior_entropy: 4.7004, recall: 0.2286, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.9578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.0045, kappa: 0.0001, kb_relative_information_score: 26943.7543, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0036, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0029, kappa: 0, kb_relative_information_score: 26836.1815, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0382, predictive_accuracy: 0.0384, prior_entropy: 4.7004, recall: 0.0384, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.0386, kappa: 0.0001, kb_relative_information_score: 27038.8859, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0386, predictive_accuracy: 0.0386, prior_entropy: 4.7004, recall: 0.0386, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.4141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.3426, kappa: 0.3121, kb_relative_information_score: 393521.0633, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3691, predictive_accuracy: 0.3386, prior_entropy: 4.7004, recall: 0.3386, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.9241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.3406, kappa: 0.3102, kb_relative_information_score: 393754.2273, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3699, predictive_accuracy: 0.3367, prior_entropy: 4.7004, recall: 0.3367, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.411, kappa: 0.3886, kb_relative_information_score: 156385.3949, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4125, predictive_accuracy: 0.4122, prior_entropy: 4.7004, recall: 0.4122, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5148, f_measure: 0.0137, kappa: 0.0067, kb_relative_information_score: 43516.1492, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0344, predictive_accuracy: 0.0448, prior_entropy: 4.7004, recall: 0.0448, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2664, root_relative_squared_error: 1.3855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.0045, kappa: 0.0001, kb_relative_information_score: 27017.5407, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0036, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.4137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.4559, kappa: 0.4376, kb_relative_information_score: 487463.9036, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4546, predictive_accuracy: 0.4593, prior_entropy: 4.7004, recall: 0.4593, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.8438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.2963, kappa: 0.2678, kb_relative_information_score: 350496.3421, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.2986, predictive_accuracy: 0.2959, prior_entropy: 4.7004, recall: 0.2959, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.4902, kappa: 0.4709, kb_relative_information_score: 533288.4631, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.493, predictive_accuracy: 0.4913, prior_entropy: 4.7004, recall: 0.4913, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.8386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.0049, kappa: -0, kb_relative_information_score: 3697.2466, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0104, predictive_accuracy: 0.0407, prior_entropy: 4.7004, recall: 0.0407, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.329, kappa: 0.3025, kb_relative_information_score: 377995.1974, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3308, predictive_accuracy: 0.3294, prior_entropy: 4.7004, recall: 0.3294, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.9377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.4744, kappa: 0.4556, kb_relative_information_score: 518829.2109, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4764, predictive_accuracy: 0.4766, prior_entropy: 4.7004, recall: 0.4766, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.8496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0029, kappa: 0, kb_relative_information_score: 26833.4422, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.038, predictive_accuracy: 0.0384, prior_entropy: 4.7004, recall: 0.0384, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.4012, kappa: 0.3851, kb_relative_information_score: 450442.7047, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.406, predictive_accuracy: 0.4087, prior_entropy: 4.7004, recall: 0.4087, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.8857,

    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)

    How to submit runs

    Using your favorite machine learning environment

    Download this task directly in your environment and automatically upload your results

    OpenML bootcamp

    From your own software

    Use one of our APIs to download data from OpenML and upload your results

    OpenML APIs