Task
Supervised Data Stream Classification on BNG(letter,10000,10)

Supervised Data Stream Classification on BNG(letter,10000,10)

Task 7364 Supervised Data Stream Classification BNG(letter,10000,10) 30 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

30 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.4047, kappa: 0.3869, kb_relative_information_score: 413765.3896, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4035, predictive_accuracy: 0.4106, prior_entropy: 4.7004, recall: 0.4106, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.8843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.3808, kappa: 0.3575, kb_relative_information_score: 423121.6042, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3808, predictive_accuracy: 0.3822, prior_entropy: 4.7004, recall: 0.3822, relative_absolute_error: 0.7942, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.8848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.3808, kappa: 0.3575, kb_relative_information_score: 423121.6042, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3808, predictive_accuracy: 0.3822, prior_entropy: 4.7004, recall: 0.3822, relative_absolute_error: 0.7942, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.8848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, f_measure: 0.2076, kappa: 0.183, kb_relative_information_score: 240762.7512, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.2176, predictive_accuracy: 0.2145, prior_entropy: 4.7004, recall: 0.2145, relative_absolute_error: 0.9172, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.9624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.4429, kappa: 0.4232, kb_relative_information_score: 488625.9545, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4466, predictive_accuracy: 0.4454, prior_entropy: 4.7004, recall: 0.4454, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.8733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.4429, kappa: 0.4232, kb_relative_information_score: 488625.9545, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4466, predictive_accuracy: 0.4454, prior_entropy: 4.7004, recall: 0.4454, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.8733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.4721, kappa: 0.4521, kb_relative_information_score: 514105.3937, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4744, predictive_accuracy: 0.4732, prior_entropy: 4.7004, recall: 0.4732, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.8511,
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: 0.642, f_measure: 0.0677, kappa: 0.0381, kb_relative_information_score: 81942.056, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.072, predictive_accuracy: 0.0756, prior_entropy: 4.7004, recall: 0.0756, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.9943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.0045, kappa: -0.0001, kb_relative_information_score: 26791.4734, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0035, predictive_accuracy: 0.0383, prior_entropy: 4.7004, recall: 0.0383, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.4139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.3858, kappa: 0.3622, kb_relative_information_score: 151701.9396, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3869, predictive_accuracy: 0.3868, prior_entropy: 4.7004, recall: 0.3868, relative_absolute_error: 0.9741, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0028, kappa: 0, kb_relative_information_score: 26821.2293, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0276, 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: 0.8796, f_measure: 0.4429, kappa: 0.4232, kb_relative_information_score: 488625.9545, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4466, predictive_accuracy: 0.4454, prior_entropy: 4.7004, recall: 0.4454, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.8733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5137, f_measure: 0.0114, kappa: 0.0051, kb_relative_information_score: 42262.7059, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0339, predictive_accuracy: 0.0433, prior_entropy: 4.7004, recall: 0.0433, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2665, root_relative_squared_error: 1.3857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.4377, kappa: 0.4212, kb_relative_information_score: 432500.1909, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4402, predictive_accuracy: 0.4436, prior_entropy: 4.7004, recall: 0.4436, relative_absolute_error: 0.7807, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.8628,
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: 0.8569, f_measure: 0.3801, kappa: 0.3614, kb_relative_information_score: 426010.2181, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3846, predictive_accuracy: 0.386, prior_entropy: 4.7004, recall: 0.386, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.8981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.2762, kappa: 0.2468, kb_relative_information_score: 330052.2373, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.2779, predictive_accuracy: 0.2758, prior_entropy: 4.7004, recall: 0.2758, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.9744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.5008, kappa: 0.483, kb_relative_information_score: 526109.1062, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.5037, predictive_accuracy: 0.5029, prior_entropy: 4.7004, recall: 0.5029, relative_absolute_error: 0.6656, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.157, root_relative_squared_error: 0.8164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6059, f_measure: 0.0763, kappa: 0.0419, kb_relative_information_score: 115951.6123, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0767, predictive_accuracy: 0.0789, prior_entropy: 4.7004, recall: 0.0789, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2336, root_relative_squared_error: 1.2149,
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: 0.7859, f_measure: 0.3266, kappa: 0.2963, kb_relative_information_score: 378120.5057, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3513, predictive_accuracy: 0.3233, prior_entropy: 4.7004, recall: 0.3233, relative_absolute_error: 0.8412, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.9321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.3245, kappa: 0.2943, kb_relative_information_score: 378578.2356, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3521, predictive_accuracy: 0.3214, prior_entropy: 4.7004, recall: 0.3214, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.9326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.4055, kappa: 0.3848, kb_relative_information_score: 456077.2909, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4038, predictive_accuracy: 0.4085, prior_entropy: 4.7004, recall: 0.4085, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.0045, kappa: -0.0001, kb_relative_information_score: 26703.9014, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0035, predictive_accuracy: 0.0383, prior_entropy: 4.7004, recall: 0.0383, relative_absolute_error: 1.0002, 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: 0.4997, f_measure: 0.0038, kappa: -0, kb_relative_information_score: 28181.7668, 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: 0.5, f_measure: 0.0028, kappa: 0, kb_relative_information_score: 26821.2977, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0276, 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: 0.8064, f_measure: 0.309, kappa: 0.2815, kb_relative_information_score: 357112.778, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3105, predictive_accuracy: 0.3092, prior_entropy: 4.7004, recall: 0.3092, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.4669, kappa: 0.4479, kb_relative_information_score: 511025.5406, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4716, predictive_accuracy: 0.4691, prior_entropy: 4.7004, recall: 0.4691, relative_absolute_error: 0.6509, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.8492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.3801, kappa: 0.3614, kb_relative_information_score: 426015.1953, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3846, predictive_accuracy: 0.386, prior_entropy: 4.7004, recall: 0.386, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.8981,

    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