Task
Supervised Data Stream Classification on vote

Supervised Data Stream Classification on vote

Task 2223 Supervised Data Stream Classification vote 25 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5509, f_measure: 0.5745, kappa: 0.102, kb_relative_information_score: 65, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.5, number_of_instances: 435, precision: 0.5742, predictive_accuracy: 0.5747, prior_entropy: 1, recall: 0.5747, relative_absolute_error: 0.8506, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6521, root_relative_squared_error: 1.3043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4669, kb_relative_information_score: 99, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.5, number_of_instances: 435, precision: 0.3767, predictive_accuracy: 0.6138, prior_entropy: 1, recall: 0.6138, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6215, root_relative_squared_error: 1.2429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4291, f_measure: 0.4699, kappa: -0.0019, kb_relative_information_score: 25.9119, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.5, number_of_instances: 435, precision: 0.5053, predictive_accuracy: 0.6115, prior_entropy: 1, recall: 0.6115, relative_absolute_error: 0.9549, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9858, run_cpu_time: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8949, kappa: 0.7803, kb_relative_information_score: 341.685, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.5, number_of_instances: 435, precision: 0.8975, predictive_accuracy: 0.8943, prior_entropy: 1, recall: 0.8943, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.621, run_cpu_time: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4669, kb_relative_information_score: 99, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.5, number_of_instances: 435, precision: 0.3767, predictive_accuracy: 0.6138, prior_entropy: 1, recall: 0.6138, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6215, root_relative_squared_error: 1.2429, run_cpu_time: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9356, kappa: 0.8642, kb_relative_information_score: 306.9674, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.5, number_of_instances: 435, precision: 0.9356, predictive_accuracy: 0.9356, prior_entropy: 1, recall: 0.9356, relative_absolute_error: 0.3314, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.5015, run_cpu_time: 0.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.9038, kappa: 0.7981, kb_relative_information_score: 342.7504, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.5, number_of_instances: 435, precision: 0.9049, predictive_accuracy: 0.9034, prior_entropy: 1, recall: 0.9034, relative_absolute_error: 0.2162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.5864, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.9014, kappa: 0.7926, kb_relative_information_score: 345.0281, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.5, number_of_instances: 435, precision: 0.9019, predictive_accuracy: 0.9011, prior_entropy: 1, recall: 0.9011, relative_absolute_error: 0.2097, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.5891, run_cpu_time: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.831, kappa: 0.6417, kb_relative_information_score: 258.2963, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.5, number_of_instances: 435, precision: 0.831, predictive_accuracy: 0.8322, prior_entropy: 1, recall: 0.8322, relative_absolute_error: 0.4246, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7226, run_cpu_time: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.9109, kappa: 0.8136, kb_relative_information_score: 347.1952, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.5, number_of_instances: 435, precision: 0.9131, predictive_accuracy: 0.9103, prior_entropy: 1, recall: 0.9103, relative_absolute_error: 0.2084, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.5552, run_cpu_time: 0.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4669, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 435, precision: 0.3767, predictive_accuracy: 0.6138, prior_entropy: 1, recall: 0.6138, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, run_cpu_time: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4291, f_measure: 0.4699, kappa: -0.0019, kb_relative_information_score: 25.9119, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.5, number_of_instances: 435, precision: 0.5053, predictive_accuracy: 0.6115, prior_entropy: 1, recall: 0.6115, relative_absolute_error: 0.9549, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9858, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.9109, kappa: 0.8136, kb_relative_information_score: 347.1952, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.5, number_of_instances: 435, precision: 0.9131, predictive_accuracy: 0.9103, prior_entropy: 1, recall: 0.9103, relative_absolute_error: 0.2084, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.5552, run_cpu_time: 0.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.7909, kappa: 0.5592, kb_relative_information_score: 253, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.5, number_of_instances: 435, precision: 0.791, predictive_accuracy: 0.7908, prior_entropy: 1, ram_hours: 0, recall: 0.7908, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9148, run_cpu_time: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4669, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 435, precision: 0.3767, predictive_accuracy: 0.6138, prior_entropy: 1, recall: 0.6138, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.9038, kappa: 0.7981, kb_relative_information_score: 342.7504, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.5, number_of_instances: 435, precision: 0.9049, predictive_accuracy: 0.9034, prior_entropy: 1, recall: 0.9034, relative_absolute_error: 0.2162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.5864, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9286, kappa: 0.8492, kb_relative_information_score: 304.7951, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.5, number_of_instances: 435, precision: 0.9286, predictive_accuracy: 0.9287, prior_entropy: 1, recall: 0.9287, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.5094, run_cpu_time: 0.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4669, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 435, precision: 0.3767, predictive_accuracy: 0.6138, prior_entropy: 1, ram_hours: 0, recall: 0.6138, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, run_cpu_time: 0.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9245, kappa: 0.8419, kb_relative_information_score: 359.8831, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.5, number_of_instances: 435, precision: 0.9262, predictive_accuracy: 0.9241, prior_entropy: 1, ram_hours: 0, recall: 0.9241, relative_absolute_error: 0.1801, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.25, root_relative_squared_error: 0.5, run_cpu_time: 0.0591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9016, kappa: 0.7936, kb_relative_information_score: 337.6802, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.5, number_of_instances: 435, precision: 0.9028, predictive_accuracy: 0.9011, prior_entropy: 1, ram_hours: 0, recall: 0.9011, relative_absolute_error: 0.2296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.5318, run_cpu_time: 0.7013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4669, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 435, precision: 0.3767, predictive_accuracy: 0.6138, prior_entropy: 1, ram_hours: 0, recall: 0.6138, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, run_cpu_time: 0.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.8446, kappa: 0.6683, kb_relative_information_score: 303, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.5, number_of_instances: 435, precision: 0.8511, predictive_accuracy: 0.8483, prior_entropy: 1, ram_hours: 0, recall: 0.8483, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.779, run_cpu_time: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9016, kappa: 0.7936, kb_relative_information_score: 337.6892, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.5, number_of_instances: 435, precision: 0.9028, predictive_accuracy: 0.9011, prior_entropy: 1, ram_hours: 0, recall: 0.9011, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.5317, run_cpu_time: 0.0407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4669, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 435, precision: 0.3767, predictive_accuracy: 0.6138, prior_entropy: 1, ram_hours: 0, recall: 0.6138, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4669, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 435, precision: 0.3767, predictive_accuracy: 0.6138, prior_entropy: 1, recall: 0.6138, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,

    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)

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