Task
Supervised Data Stream Classification on mfeat-karhunen

Supervised Data Stream Classification on mfeat-karhunen

Task 2184 Supervised Data Stream Classification mfeat-karhunen 25 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

25 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 117.6365, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, run_cpu_time: 0.0649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4285, f_measure: 0.029, kb_relative_information_score: -45.7575, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.017, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 1.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3674, root_relative_squared_error: 1.2245, run_cpu_time: 0.1422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5542, f_measure: 0.0986, kappa: 0.1083, kb_relative_information_score: 321.5592, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0757, predictive_accuracy: 0.1975, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1975, relative_absolute_error: 0.8917, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4006, root_relative_squared_error: 1.3354, run_cpu_time: 0.0576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9109, kappa: 0.9006, kb_relative_information_score: 1677.2247, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9158, predictive_accuracy: 0.9105, prior_entropy: 3.3219, ram_hours: 0, recall: 0.9105, relative_absolute_error: 0.2653, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.4544, run_cpu_time: 1.3107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8557, kappa: 0.8394, kb_relative_information_score: 1748.4863, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.867, predictive_accuracy: 0.8555, prior_entropy: 3.3219, ram_hours: 0, recall: 0.8555, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.4552, run_cpu_time: 2.3097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4394, f_measure: 0.0281, kb_relative_information_score: -45.7575, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0164, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 1.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3776, root_relative_squared_error: 1.2587, run_cpu_time: 0.2643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4444, f_measure: 0.0274, kb_relative_information_score: -45.7575, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0159, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 1.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3808, root_relative_squared_error: 1.2693, run_cpu_time: 0.0901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.8981, kappa: 0.8867, kb_relative_information_score: 1787.9793, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9024, predictive_accuracy: 0.898, prior_entropy: 3.3219, ram_hours: 0, recall: 0.898, relative_absolute_error: 0.1359, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.4287, run_cpu_time: 2.2147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9955, kappa: 0.995, kb_relative_information_score: 1990.5882, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 3.3219, ram_hours: 0, recall: 0.9955, relative_absolute_error: 0.005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.03, root_relative_squared_error: 0.1, run_cpu_time: 0.0561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9034, kappa: 0.8917, kb_relative_information_score: 1813.5112, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9106, predictive_accuracy: 0.9025, prior_entropy: 3.3219, ram_hours: 0, recall: 0.9025, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.3949, run_cpu_time: 1.7762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2222, f_measure: 0.0266, kb_relative_information_score: -45.7575, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0153, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 1.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3246, root_relative_squared_error: 1.0821, run_cpu_time: 0.4055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.8988, kappa: 0.8867, kb_relative_information_score: 1800.0629, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9065, predictive_accuracy: 0.898, prior_entropy: 3.3219, ram_hours: 0, recall: 0.898, relative_absolute_error: 0.1265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.4147, run_cpu_time: 1.4926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9227, kappa: 0.9133, kb_relative_information_score: 1837.8494, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9284, predictive_accuracy: 0.922, prior_entropy: 3.3219, ram_hours: 0, recall: 0.922, relative_absolute_error: 0.0905, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.3991, run_cpu_time: 0.2482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.7524, kappa: 0.7339, kb_relative_information_score: 1542.8133, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7952, predictive_accuracy: 0.7605, prior_entropy: 3.3219, ram_hours: 0, recall: 0.7605, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.6262, run_cpu_time: 0.4989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9227, kappa: 0.9133, kb_relative_information_score: 1837.8494, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9284, predictive_accuracy: 0.922, prior_entropy: 3.3219, recall: 0.922, relative_absolute_error: 0.0905, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.3991, run_cpu_time: 0.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, f_measure: 0.0806, kappa: 0.0439, kb_relative_information_score: 200.2514, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0611, predictive_accuracy: 0.1395, prior_entropy: 3.3219, recall: 0.1395, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4148, root_relative_squared_error: 1.3828, run_cpu_time: 0.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9227, kappa: 0.9133, kb_relative_information_score: 1837.8494, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9284, predictive_accuracy: 0.922, prior_entropy: 3.3219, ram_hours: 0, recall: 0.922, relative_absolute_error: 0.0905, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.3991, run_cpu_time: 0.2222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4444, f_measure: 0.0182, kb_relative_information_score: -45.7575, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 1.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3808, root_relative_squared_error: 1.2693, run_cpu_time: 0.1162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.944, kappa: 0.9378, kb_relative_information_score: 1794.5912, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9451, predictive_accuracy: 0.944, prior_entropy: 3.3219, ram_hours: 0, recall: 0.944, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.3528, run_cpu_time: 1.2485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.1179, kappa: 0.1411, kb_relative_information_score: 788.5936, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0858, predictive_accuracy: 0.227, prior_entropy: 3.3219, ram_hours: 0, recall: 0.227, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.9338, run_cpu_time: 1.0535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.883, kappa: 0.8694, kb_relative_information_score: 1771.6323, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8901, predictive_accuracy: 0.8825, prior_entropy: 3.3219, ram_hours: 0, recall: 0.8825, relative_absolute_error: 0.1699, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.426, run_cpu_time: 39.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.0182, kb_relative_information_score: 387.9153, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0007, run_cpu_time: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9248, kappa: 0.9161, kb_relative_information_score: 1839.8981, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.927, predictive_accuracy: 0.9245, prior_entropy: 3.3219, ram_hours: 0, recall: 0.9245, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.3992, run_cpu_time: 0.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 117.6365, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, run_cpu_time: 1.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4326, f_measure: 0.0285, kb_relative_information_score: -45.7575, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0166, predictive_accuracy: 0.1, prior_entropy: 3.3219, ram_hours: 0, recall: 0.1, relative_absolute_error: 1.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3747, root_relative_squared_error: 1.2489, run_cpu_time: 0.23,

    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