Task
Supervised Data Stream Classification on BNG(letter,5000,5)

Supervised Data Stream Classification on BNG(letter,5000,5)

Task 7360 Supervised Data Stream Classification BNG(letter,5000,5) 32 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

32 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.4043, kappa: 0.3866, kb_relative_information_score: 413409.3715, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4033, predictive_accuracy: 0.4103, prior_entropy: 4.7004, recall: 0.4103, relative_absolute_error: 0.7987, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.8845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.3809, kappa: 0.3576, kb_relative_information_score: 423024.1137, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3811, predictive_accuracy: 0.3824, prior_entropy: 4.7004, recall: 0.3824, relative_absolute_error: 0.7941, 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: 0.8492, f_measure: 0.3809, kappa: 0.3576, kb_relative_information_score: 423024.1137, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3811, predictive_accuracy: 0.3824, prior_entropy: 4.7004, recall: 0.3824, relative_absolute_error: 0.7941, 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: 0.7796, f_measure: 0.2067, kappa: 0.1832, kb_relative_information_score: 240267.5027, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.2117, predictive_accuracy: 0.2147, prior_entropy: 4.7004, recall: 0.2147, relative_absolute_error: 0.9222, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.4671, kappa: 0.4474, kb_relative_information_score: 509429.8797, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4695, predictive_accuracy: 0.4687, prior_entropy: 4.7004, recall: 0.4687, relative_absolute_error: 0.6451, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.4671, kappa: 0.4474, kb_relative_information_score: 509429.8797, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4695, predictive_accuracy: 0.4687, prior_entropy: 4.7004, recall: 0.4687, relative_absolute_error: 0.6451, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.4671, kappa: 0.4474, kb_relative_information_score: 509429.8797, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4695, predictive_accuracy: 0.4687, prior_entropy: 4.7004, recall: 0.4687, relative_absolute_error: 0.6451, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0038, kappa: -0, kb_relative_information_score: 28182.0347, 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: 0.4997, f_measure: 0.0038, kappa: -0, kb_relative_information_score: 28182.0347, 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: 0.8883, f_measure: 0.4636, kappa: 0.444, kb_relative_information_score: 505804.7471, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4665, predictive_accuracy: 0.4654, prior_entropy: 4.7004, recall: 0.4654, relative_absolute_error: 0.6514, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.8535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.3855, kappa: 0.3618, kb_relative_information_score: 151631.2811, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3866, predictive_accuracy: 0.3864, prior_entropy: 4.7004, recall: 0.3864, 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: 0.6421, f_measure: 0.0678, kappa: 0.0382, kb_relative_information_score: 81781.7938, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0721, predictive_accuracy: 0.0756, prior_entropy: 4.7004, recall: 0.0756, relative_absolute_error: 0.9881, 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: 26698.8412, 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: 1.4144,
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: 0.8898, f_measure: 0.4653, kappa: 0.4457, kb_relative_information_score: 507478.9349, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4684, predictive_accuracy: 0.4671, prior_entropy: 4.7004, recall: 0.4671, relative_absolute_error: 0.6508, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.8517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5137, f_measure: 0.0113, kappa: 0.005, kb_relative_information_score: 42232.5613, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0338, predictive_accuracy: 0.0432, prior_entropy: 4.7004, recall: 0.0432, 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: 0.6071, f_measure: 0.0763, kappa: 0.042, kb_relative_information_score: 114965.0202, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.0768, predictive_accuracy: 0.079, prior_entropy: 4.7004, recall: 0.079, relative_absolute_error: 0.9515, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2339, root_relative_squared_error: 1.2163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.2758, kappa: 0.2463, kb_relative_information_score: 329511.2037, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.2776, predictive_accuracy: 0.2753, prior_entropy: 4.7004, recall: 0.2753, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.9747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.0045, kappa: -0.0001, kb_relative_information_score: 26790.2285, 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: 0.5001, 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: 0.9141, f_measure: 0.5009, kappa: 0.4832, kb_relative_information_score: 527056.9774, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.5039, predictive_accuracy: 0.5031, prior_entropy: 4.7004, recall: 0.5031, relative_absolute_error: 0.6639, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.8159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.4375, kappa: 0.421, kb_relative_information_score: 431128.8572, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4396, predictive_accuracy: 0.4434, prior_entropy: 4.7004, recall: 0.4434, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.166, root_relative_squared_error: 0.8631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.3263, kappa: 0.296, kb_relative_information_score: 377923.0877, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3509, predictive_accuracy: 0.323, prior_entropy: 4.7004, recall: 0.323, relative_absolute_error: 0.8414, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.9322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.3242, kappa: 0.294, kb_relative_information_score: 378342.5884, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3517, predictive_accuracy: 0.3211, prior_entropy: 4.7004, recall: 0.3211, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.9327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.3798, kappa: 0.361, kb_relative_information_score: 425589.8817, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3843, predictive_accuracy: 0.3856, prior_entropy: 4.7004, recall: 0.3856, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.8983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0028, kappa: 0, kb_relative_information_score: 26821.141, 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: 0.8454, f_measure: 0.404, kappa: 0.3834, kb_relative_information_score: 455164.1008, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4023, predictive_accuracy: 0.4071, prior_entropy: 4.7004, recall: 0.4071, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.8676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.3087, kappa: 0.2812, kb_relative_information_score: 357077.1406, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3102, predictive_accuracy: 0.3089, prior_entropy: 4.7004, recall: 0.3089, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.9474,
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: 0.8883, f_measure: 0.4636, kappa: 0.444, kb_relative_information_score: 505804.7471, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.4665, predictive_accuracy: 0.4654, prior_entropy: 4.7004, recall: 0.4654, relative_absolute_error: 0.6514, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.8535,
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: 0.8567, f_measure: 0.3798, kappa: 0.361, kb_relative_information_score: 425596.3477, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.074, number_of_instances: 1000000, precision: 0.3843, predictive_accuracy: 0.3856, prior_entropy: 4.7004, recall: 0.3856, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.8983,

    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