Task
Supervised Data Stream Classification on baseball

Supervised Data Stream Classification on baseball

Task 2249 Supervised Data Stream Classification baseball 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: 0.573, f_measure: 0.8685, kappa: 0.0673, kb_relative_information_score: 1057.3927, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4444, number_of_instances: 1340, precision: 0.8636, predictive_accuracy: 0.9052, prior_entropy: 1.585, ram_hours: 0.0002, recall: 0.9052, relative_absolute_error: 0.268, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.5062, run_cpu_time: 17.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8624, kb_relative_information_score: 1168.8662, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4444, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 1.585, ram_hours: 0, recall: 0.9067, relative_absolute_error: 0.1399, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.529, run_cpu_time: 0.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5152, f_measure: 0.8293, kappa: 0.0344, kb_relative_information_score: 1031.9592, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4444, number_of_instances: 1340, precision: 0.828, predictive_accuracy: 0.8321, prior_entropy: 1.585, ram_hours: 0, recall: 0.8321, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.7097, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.8732, kappa: 0.1102, kb_relative_information_score: 1168.3065, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4444, number_of_instances: 1340, precision: 0.8693, predictive_accuracy: 0.9067, prior_entropy: 1.585, ram_hours: 0, recall: 0.9067, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5279, run_cpu_time: 2.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, f_measure: 0.862, kappa: -0.0011, kb_relative_information_score: 1046.4026, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.4444, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.906, prior_entropy: 1.585, ram_hours: 0, recall: 0.906, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.5148, run_cpu_time: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5414, f_measure: 0.8708, kappa: 0.0943, kb_relative_information_score: 1059.7941, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4444, number_of_instances: 1340, precision: 0.8622, predictive_accuracy: 0.9045, prior_entropy: 1.585, ram_hours: 0, recall: 0.9045, relative_absolute_error: 0.2653, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.5188, run_cpu_time: 0.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8624, kb_relative_information_score: 1168.8662, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4444, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 1.585, ram_hours: 0, recall: 0.9067, relative_absolute_error: 0.1399, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.529, run_cpu_time: 0.0195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6368, f_measure: 0.8837, kappa: 0.2039, kb_relative_information_score: 297.7663, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.4444, number_of_instances: 1340, precision: 0.8818, predictive_accuracy: 0.9119, prior_entropy: 1.585, ram_hours: 0, recall: 0.9119, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8918, run_cpu_time: 0.0595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, f_measure: 0.8299, kappa: 0.0192, kb_relative_information_score: 1027.852, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.4444, number_of_instances: 1340, precision: 0.8299, predictive_accuracy: 0.8299, prior_entropy: 1.585, recall: 0.8299, relative_absolute_error: 0.2552, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.7145, run_cpu_time: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.8624, kb_relative_information_score: 296.1898, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4444, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 1.585, recall: 0.9067, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.9044, run_cpu_time: 0.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.8624, kb_relative_information_score: 296.1898, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4444, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 1.585, recall: 0.9067, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.9044, run_cpu_time: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8991, kappa: 0.3312, kb_relative_information_score: 1160.8743, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.4444, number_of_instances: 1340, precision: 0.9039, predictive_accuracy: 0.9209, prior_entropy: 1.585, ram_hours: 0, recall: 0.9209, relative_absolute_error: 0.1543, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4271, run_cpu_time: 6.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5471, f_measure: 0.8672, kappa: 0.0473, kb_relative_information_score: 1160.8324, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.4444, number_of_instances: 1340, precision: 0.8697, predictive_accuracy: 0.9075, prior_entropy: 1.585, ram_hours: 0.0009, recall: 0.9075, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.5244, run_cpu_time: 29.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5414, f_measure: 0.8708, kappa: 0.0943, kb_relative_information_score: 1059.7941, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4444, number_of_instances: 1340, precision: 0.8622, predictive_accuracy: 0.9045, prior_entropy: 1.585, recall: 0.9045, relative_absolute_error: 0.2653, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.5188, run_cpu_time: 0.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, f_measure: 0.862, kappa: -0.0011, kb_relative_information_score: 1046.4026, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.4444, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.906, prior_entropy: 1.585, recall: 0.906, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.5148, run_cpu_time: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5554, f_measure: 0.8729, kappa: 0.1297, kb_relative_information_score: 1116.6818, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4444, number_of_instances: 1340, precision: 0.8603, predictive_accuracy: 0.9037, prior_entropy: 1.585, ram_hours: 0.0001, recall: 0.9037, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5367, run_cpu_time: 7.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.8624, kb_relative_information_score: 270.4663, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.4444, number_of_instances: 1340, precision: 0.8221, predictive_accuracy: 0.9067, prior_entropy: 1.585, recall: 0.9067, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.425, root_relative_squared_error: 0.9016, run_cpu_time: 0.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.899, kappa: 0.3276, kb_relative_information_score: 1161.0963, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4444, number_of_instances: 1340, precision: 0.9037, predictive_accuracy: 0.9209, prior_entropy: 1.585, recall: 0.9209, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4266, run_cpu_time: 0.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.573, f_measure: 0.8685, kappa: 0.0673, kb_relative_information_score: 1057.3927, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4444, number_of_instances: 1340, precision: 0.8636, predictive_accuracy: 0.9052, prior_entropy: 1.585, ram_hours: 0.0002, recall: 0.9052, relative_absolute_error: 0.268, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.5062, run_cpu_time: 14.5292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5117, f_measure: 0.8619, kappa: 0.0046, kb_relative_information_score: 1050.3962, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4444, number_of_instances: 1340, precision: 0.8226, predictive_accuracy: 0.9052, prior_entropy: 1.585, ram_hours: 0, recall: 0.9052, relative_absolute_error: 0.2764, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.513, run_cpu_time: 0.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.8877, kappa: 0.2243, kb_relative_information_score: 200.0523, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.4444, number_of_instances: 1340, precision: 0.8959, predictive_accuracy: 0.9157, prior_entropy: 1.585, ram_hours: 0, recall: 0.9157, relative_absolute_error: 0.8825, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.9217, run_cpu_time: 0.5388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.8791, kappa: 0.224, kb_relative_information_score: 271.2347, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.4444, number_of_instances: 1340, precision: 0.8716, predictive_accuracy: 0.8933, prior_entropy: 1.585, ram_hours: 0, recall: 0.8933, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.92, run_cpu_time: 0.0394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.582, f_measure: 0.8255, kappa: 0.1106, kb_relative_information_score: 1000.4706, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4444, number_of_instances: 1340, precision: 0.8418, predictive_accuracy: 0.8149, prior_entropy: 1.585, ram_hours: 0, recall: 0.8149, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7451, run_cpu_time: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.8772, kappa: 0.4301, kb_relative_information_score: 1064.5762, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.4444, number_of_instances: 1340, precision: 0.9189, predictive_accuracy: 0.8522, prior_entropy: 1.585, ram_hours: 0, recall: 0.8522, relative_absolute_error: 0.2265, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.635, run_cpu_time: 0.0375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5872, f_measure: 0.8103, kappa: 0.1001, kb_relative_information_score: 884.9071, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.4444, number_of_instances: 1340, precision: 0.8505, predictive_accuracy: 0.7761, prior_entropy: 1.585, ram_hours: 0, recall: 0.7761, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7769, run_cpu_time: 7.2401,

    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