Task
Supervised Data Stream Classification on cmc

Supervised Data Stream Classification on cmc

Task 2191 Supervised Data Stream Classification cmc 25 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5608, f_measure: 0.3699, kappa: 0.061, kb_relative_information_score: 117.3805, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4444, number_of_instances: 1473, precision: 0.4186, predictive_accuracy: 0.4399, prior_entropy: 1.585, recall: 0.4399, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4792, root_relative_squared_error: 1.0166, run_cpu_time: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2556, kb_relative_information_score: 317.5047, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4444, number_of_instances: 1473, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.585, recall: 0.427, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.3111, run_cpu_time: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.4867, kappa: 0.2312, kb_relative_information_score: 518.8831, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4444, number_of_instances: 1473, precision: 0.5231, predictive_accuracy: 0.5241, prior_entropy: 1.585, recall: 0.5241, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9422, run_cpu_time: 0.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.3697, kappa: 0.1166, kb_relative_information_score: 445.5787, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4444, number_of_instances: 1473, precision: 0.5146, predictive_accuracy: 0.4664, prior_entropy: 1.585, recall: 0.4664, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9651, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.711, kappa: 0.5533, kb_relative_information_score: 785.5249, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.4444, number_of_instances: 1473, precision: 0.712, predictive_accuracy: 0.7142, prior_entropy: 1.585, recall: 0.7142, relative_absolute_error: 0.5299, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.7554, run_cpu_time: 0.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.8566, kappa: 0.7787, kb_relative_information_score: 1084.0167, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.4444, number_of_instances: 1473, precision: 0.8831, predictive_accuracy: 0.8595, prior_entropy: 1.585, recall: 0.8595, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.6403, run_cpu_time: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.5142, kappa: 0.2869, kb_relative_information_score: 550.4225, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4444, number_of_instances: 1473, precision: 0.5541, predictive_accuracy: 0.5485, prior_entropy: 1.585, recall: 0.5485, relative_absolute_error: 0.6819, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9456, run_cpu_time: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.2556, kb_relative_information_score: 372.2605, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.4444, number_of_instances: 1473, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.585, recall: 0.427, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9852, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.5142, kappa: 0.2869, kb_relative_information_score: 550.4225, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4444, number_of_instances: 1473, precision: 0.5541, predictive_accuracy: 0.5485, prior_entropy: 1.585, recall: 0.5485, relative_absolute_error: 0.6819, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9456, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.6021, kappa: 0.4367, kb_relative_information_score: 709.2844, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.4444, number_of_instances: 1473, precision: 0.6253, predictive_accuracy: 0.6477, prior_entropy: 1.585, recall: 0.6477, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8627, run_cpu_time: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, f_measure: 0.2556, kb_relative_information_score: 118.4108, mean_absolute_error: 0.4189, mean_prior_absolute_error: 0.4444, number_of_instances: 1473, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.585, recall: 0.427, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5178, root_relative_squared_error: 1.0984, run_cpu_time: 0.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, f_measure: 0.476, kappa: 0.3652, kb_relative_information_score: 621.4383, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.4444, number_of_instances: 1473, precision: 0.411, predictive_accuracy: 0.5777, prior_entropy: 1.585, recall: 0.5777, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5306, root_relative_squared_error: 1.1255, run_cpu_time: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.8281, kappa: 0.7339, kb_relative_information_score: 828.3328, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.4444, number_of_instances: 1473, precision: 0.829, predictive_accuracy: 0.8276, prior_entropy: 1.585, recall: 0.8276, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.6567, run_cpu_time: 0.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5511, f_measure: 0.3615, kappa: 0.0487, kb_relative_information_score: 101.8501, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4444, number_of_instances: 1473, precision: 0.4096, predictive_accuracy: 0.4325, prior_entropy: 1.585, recall: 0.4325, relative_absolute_error: 0.9586, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4765, root_relative_squared_error: 1.0108, run_cpu_time: 0.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.3806, kappa: 0.083, kb_relative_information_score: 119.1886, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.4444, number_of_instances: 1473, precision: 0.4501, predictive_accuracy: 0.4535, prior_entropy: 1.585, recall: 0.4535, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9874, run_cpu_time: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.5142, kappa: 0.2869, kb_relative_information_score: 550.4225, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4444, number_of_instances: 1473, precision: 0.5541, predictive_accuracy: 0.5485, prior_entropy: 1.585, recall: 0.5485, relative_absolute_error: 0.6819, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9456, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.6814, kappa: 0.5135, kb_relative_information_score: 709.0397, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.4444, number_of_instances: 1473, precision: 0.6858, predictive_accuracy: 0.6938, prior_entropy: 1.585, recall: 0.6938, relative_absolute_error: 0.5829, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7932, run_cpu_time: 3.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9966, kappa: 0.9947, kb_relative_information_score: 1466.1546, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.4444, number_of_instances: 1473, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 1.585, recall: 0.9966, relative_absolute_error: 0.0051, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0476, root_relative_squared_error: 0.1009, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.3693, kappa: 0.0635, kb_relative_information_score: 115.3323, mean_absolute_error: 0.4206, mean_prior_absolute_error: 0.4444, number_of_instances: 1473, precision: 0.4195, predictive_accuracy: 0.4379, prior_entropy: 1.585, recall: 0.4379, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.467, root_relative_squared_error: 0.9906, run_cpu_time: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.5194, kappa: 0.2969, kb_relative_information_score: 557.1813, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4444, number_of_instances: 1473, precision: 0.5625, predictive_accuracy: 0.554, prior_entropy: 1.585, ram_hours: 0, recall: 0.554, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.9448, run_cpu_time: 0.0125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.526, kappa: 0.4428, kb_relative_information_score: 702.2135, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4444, number_of_instances: 1473, precision: 0.4861, predictive_accuracy: 0.6178, prior_entropy: 1.585, ram_hours: 0, recall: 0.6178, relative_absolute_error: 0.5733, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0708, run_cpu_time: 0.0067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.7569, kappa: 0.6244, kb_relative_information_score: 893.9077, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4444, number_of_instances: 1473, precision: 0.7568, predictive_accuracy: 0.759, prior_entropy: 1.585, ram_hours: 0, recall: 0.759, relative_absolute_error: 0.4458, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.7196, run_cpu_time: 0.0878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.5034, kappa: 0.2825, kb_relative_information_score: 549.6009, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4444, number_of_instances: 1473, precision: 0.5532, predictive_accuracy: 0.5458, prior_entropy: 1.585, ram_hours: 0, recall: 0.5458, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.9455, run_cpu_time: 0.0445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2556, kb_relative_information_score: 317.5047, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4444, number_of_instances: 1473, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.585, recall: 0.427, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.3111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5394, f_measure: 0.3361, kappa: 0.033, kb_relative_information_score: 123.8871, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.4444, number_of_instances: 1473, precision: 0.3655, predictive_accuracy: 0.4297, prior_entropy: 1.585, ram_hours: 0, recall: 0.4297, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.516, root_relative_squared_error: 1.0946, run_cpu_time: 0.02,

    Metric:

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    Leaderboard

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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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    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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