Task
Supervised Data Stream Classification on heart-h

Supervised Data Stream Classification on heart-h

Task 2218 Supervised Data Stream Classification heart-h 25 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.32, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 2.3219, ram_hours: 0, recall: 0.6395, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4, root_relative_squared_error: 1, run_cpu_time: 0.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9932, kappa: 0.9852, kb_relative_information_score: 291.7227, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.32, number_of_instances: 294, precision: 0.9933, predictive_accuracy: 0.9932, prior_entropy: 2.3219, recall: 0.9932, relative_absolute_error: 0.0085, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.0522, root_relative_squared_error: 0.1304, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.32, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 2.3219, recall: 0.6395, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 173.3034, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.32, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 2.3219, recall: 0.6395, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.9494, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8704, kappa: 0.7132, kb_relative_information_score: 254.257, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.32, number_of_instances: 294, precision: 0.8972, predictive_accuracy: 0.8776, prior_entropy: 2.3219, recall: 0.8776, relative_absolute_error: 0.1648, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4849, run_cpu_time: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.5716, kappa: 0.1176, kb_relative_information_score: 201.3966, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.32, number_of_instances: 294, precision: 0.7838, predictive_accuracy: 0.6735, prior_entropy: 2.3219, recall: 0.6735, relative_absolute_error: 0.3446, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.7542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.32, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 2.3219, recall: 0.6395, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4, root_relative_squared_error: 1, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.8467, kappa: 0.6609, kb_relative_information_score: 250.1159, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.32, number_of_instances: 294, precision: 0.8832, predictive_accuracy: 0.8571, prior_entropy: 2.3219, recall: 0.8571, relative_absolute_error: 0.1846, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4966, run_cpu_time: 0.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.4988, kb_relative_information_score: 197.2569, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.32, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 2.3219, recall: 0.6395, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.7609, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 173.3034, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.32, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 2.3219, recall: 0.6395, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.9494, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.32, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 2.3219, recall: 0.6395, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9621, kappa: 0.917, kb_relative_information_score: 269.5199, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.32, number_of_instances: 294, precision: 0.9647, predictive_accuracy: 0.9626, prior_entropy: 2.3219, recall: 0.9626, relative_absolute_error: 0.1277, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.3262, run_cpu_time: 0.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9966, kappa: 0.9926, kb_relative_information_score: 292.8614, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.32, number_of_instances: 294, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 2.3219, recall: 0.9966, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.0369, root_relative_squared_error: 0.0922, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8781, kappa: 0.7303, kb_relative_information_score: 255.5944, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.32, number_of_instances: 294, precision: 0.9021, predictive_accuracy: 0.8844, prior_entropy: 2.3219, recall: 0.8844, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4998, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8665, kappa: 0.7046, kb_relative_information_score: 251.4705, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.32, number_of_instances: 294, precision: 0.8948, predictive_accuracy: 0.8742, prior_entropy: 2.3219, recall: 0.8742, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.5133, run_cpu_time: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.4988, kb_relative_information_score: 197.2569, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.32, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 2.3219, recall: 0.6395, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.7609, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8665, kappa: 0.7046, kb_relative_information_score: 253.2235, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.32, number_of_instances: 294, precision: 0.8948, predictive_accuracy: 0.8742, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8742, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.4995, run_cpu_time: 0.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8819, kappa: 0.7388, kb_relative_information_score: 256.5802, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.32, number_of_instances: 294, precision: 0.9045, predictive_accuracy: 0.8878, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8878, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4949, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8781, kappa: 0.7303, kb_relative_information_score: 255.5944, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.32, number_of_instances: 294, precision: 0.9021, predictive_accuracy: 0.8844, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8844, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4998, run_cpu_time: 0.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.32, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 2.3219, recall: 0.6395, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4, root_relative_squared_error: 1, run_cpu_time: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9966, kappa: 0.9926, kb_relative_information_score: 292.8614, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.32, number_of_instances: 294, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 2.3219, recall: 0.9966, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.0369, root_relative_squared_error: 0.0922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8781, kappa: 0.7303, kb_relative_information_score: 255.5944, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.32, number_of_instances: 294, precision: 0.9021, predictive_accuracy: 0.8844, prior_entropy: 2.3219, recall: 0.8844, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9621, kappa: 0.917, kb_relative_information_score: 269.5308, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.32, number_of_instances: 294, precision: 0.9647, predictive_accuracy: 0.9626, prior_entropy: 2.3219, ram_hours: 0, recall: 0.9626, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.3262, run_cpu_time: 0.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.32, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 2.3219, recall: 0.6395, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8262, kappa: 0.6162, kb_relative_information_score: 247.6951, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.32, number_of_instances: 294, precision: 0.8721, predictive_accuracy: 0.8401, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8401, relative_absolute_error: 0.193, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.5139, run_cpu_time: 0.02,

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    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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