Task
Supervised Data Stream Classification on heart-statlog

Supervised Data Stream Classification on heart-statlog

Task 2220 Supervised Data Stream Classification heart-statlog 25 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.4924, kappa: -0.0284, kb_relative_information_score: -4, mean_absolute_error: 0.5074, mean_prior_absolute_error: 0.5, number_of_instances: 270, precision: 0.4922, predictive_accuracy: 0.4926, prior_entropy: 1, recall: 0.4926, relative_absolute_error: 1.0148, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7123, root_relative_squared_error: 1.4247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.8176, kappa: 0.6297, kb_relative_information_score: 168.9853, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.5, number_of_instances: 270, precision: 0.8186, predictive_accuracy: 0.8185, prior_entropy: 1, recall: 0.8185, relative_absolute_error: 0.3799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7745, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8257, kappa: 0.6466, kb_relative_information_score: 165.7371, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.5, number_of_instances: 270, precision: 0.8257, predictive_accuracy: 0.8259, prior_entropy: 1, ram_hours: 0, recall: 0.8259, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7804, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 1, ram_hours: 0, recall: 0.5556, 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: 0.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8257, kappa: 0.6466, kb_relative_information_score: 165.7371, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.5, number_of_instances: 270, precision: 0.8257, predictive_accuracy: 0.8259, prior_entropy: 1, ram_hours: 0, recall: 0.8259, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7804, run_cpu_time: 0.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8257, kappa: 0.6466, kb_relative_information_score: 165.7371, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.5, number_of_instances: 270, precision: 0.8257, predictive_accuracy: 0.8259, prior_entropy: 1, ram_hours: 0, recall: 0.8259, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7804, run_cpu_time: 0.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.55, f_measure: 0.5556, kappa: 0.1, kb_relative_information_score: 30, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.5, number_of_instances: 270, precision: 0.5556, predictive_accuracy: 0.5556, prior_entropy: 1, ram_hours: 0, recall: 0.5556, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3333, run_cpu_time: 0.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7901, kappa: 0.5736, kb_relative_information_score: 115.0512, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.5, number_of_instances: 270, precision: 0.7949, predictive_accuracy: 0.7926, prior_entropy: 1, recall: 0.7926, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8014, run_cpu_time: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 1, recall: 0.5556, 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: 0.4858, f_measure: 0.4924, kappa: -0.0284, kb_relative_information_score: -4, mean_absolute_error: 0.5074, mean_prior_absolute_error: 0.5, number_of_instances: 270, precision: 0.4922, predictive_accuracy: 0.4926, prior_entropy: 1, recall: 0.4926, relative_absolute_error: 1.0148, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7123, root_relative_squared_error: 1.4247, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 30, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.5, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 1, ram_hours: 0, recall: 0.5556, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3333, run_cpu_time: 0.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 1, recall: 0.5556, 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: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 1, recall: 0.5556, 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: 0.3953, f_measure: 0.398, kappa: -0.0203, kb_relative_information_score: -0.1491, mean_absolute_error: 0.5014, mean_prior_absolute_error: 0.5, number_of_instances: 270, precision: 0.395, predictive_accuracy: 0.5444, prior_entropy: 1, recall: 0.5444, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0141, run_cpu_time: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.5826, kappa: 0.1588, kb_relative_information_score: 17.1124, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.5, number_of_instances: 270, precision: 0.585, predictive_accuracy: 0.5815, prior_entropy: 1, recall: 0.5815, relative_absolute_error: 0.9508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5067, root_relative_squared_error: 1.0135, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 1, recall: 0.5556, 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: 0.3953, f_measure: 0.398, kappa: -0.0203, kb_relative_information_score: -0.1491, mean_absolute_error: 0.5014, mean_prior_absolute_error: 0.5, number_of_instances: 270, precision: 0.395, predictive_accuracy: 0.5444, prior_entropy: 1, recall: 0.5444, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0141, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 30, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.5, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 1, recall: 0.5556, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3333, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7901, kappa: 0.5736, kb_relative_information_score: 115.253, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.5, number_of_instances: 270, precision: 0.7949, predictive_accuracy: 0.7926, prior_entropy: 1, recall: 0.7926, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8014, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8296, kappa: 0.655, kb_relative_information_score: 155.5396, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.5, number_of_instances: 270, precision: 0.8296, predictive_accuracy: 0.8296, prior_entropy: 1, recall: 0.8296, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.7703, run_cpu_time: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.7986, kappa: 0.5909, kb_relative_information_score: 86.4067, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.5, number_of_instances: 270, precision: 0.8004, predictive_accuracy: 0.8, prior_entropy: 1, ram_hours: 0, recall: 0.8, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.843, run_cpu_time: 0.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.7986, kappa: 0.5909, kb_relative_information_score: 86.4067, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.5, number_of_instances: 270, precision: 0.8004, predictive_accuracy: 0.8, prior_entropy: 1, ram_hours: 0, recall: 0.8, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.843, run_cpu_time: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 1, recall: 0.5556, 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: 0.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7965, kappa: 0.5885, kb_relative_information_score: 150.7365, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.5, number_of_instances: 270, precision: 0.797, predictive_accuracy: 0.7963, prior_entropy: 1, recall: 0.7963, relative_absolute_error: 0.4531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7807, run_cpu_time: 0.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7965, kappa: 0.5885, kb_relative_information_score: 150.7365, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.5, number_of_instances: 270, precision: 0.797, predictive_accuracy: 0.7963, prior_entropy: 1, recall: 0.7963, relative_absolute_error: 0.4531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7807, run_cpu_time: 0.13,

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    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.

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    evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
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