Task
Supervised Data Stream Classification on heart-c

Supervised Data Stream Classification on heart-c

Task 2216 Supervised Data Stream Classification heart-c 25 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8241, kappa: 0.6446, kb_relative_information_score: 240.1355, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.32, number_of_instances: 303, precision: 0.8262, predictive_accuracy: 0.8251, prior_entropy: 2.3219, recall: 0.8251, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.6094, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8241, kappa: 0.6446, kb_relative_information_score: 240.1355, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.32, number_of_instances: 303, precision: 0.8262, predictive_accuracy: 0.8251, prior_entropy: 2.3219, recall: 0.8251, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.6094, run_cpu_time: 0.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.8103, kappa: 0.6169, kb_relative_information_score: 236.9923, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.32, number_of_instances: 303, precision: 0.814, predictive_accuracy: 0.8119, prior_entropy: 2.3219, recall: 0.8119, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.6035, run_cpu_time: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.8148, kappa: 0.6261, kb_relative_information_score: 205.812, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.32, number_of_instances: 303, precision: 0.815, predictive_accuracy: 0.8152, prior_entropy: 2.3219, recall: 0.8152, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.6643, run_cpu_time: 0.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5343, f_measure: 0.538, kappa: 0.0685, kb_relative_information_score: 143.5894, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.32, number_of_instances: 303, precision: 0.538, predictive_accuracy: 0.538, prior_entropy: 2.3219, recall: 0.538, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4299, root_relative_squared_error: 1.0748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4306, f_measure: 0.3825, kappa: -0.0066, kb_relative_information_score: 171.3444, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.32, number_of_instances: 303, precision: 0.2957, predictive_accuracy: 0.5413, prior_entropy: 2.3219, recall: 0.5413, relative_absolute_error: 0.6217, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.7966, run_cpu_time: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4306, f_measure: 0.3825, kappa: -0.0066, kb_relative_information_score: 171.3444, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.32, number_of_instances: 303, precision: 0.2957, predictive_accuracy: 0.5413, prior_entropy: 2.3219, recall: 0.5413, relative_absolute_error: 0.6217, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.7966, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.384, kb_relative_information_score: 145.8667, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.32, number_of_instances: 303, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 2.3219, recall: 0.5446, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4268, root_relative_squared_error: 1.0671, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5886, f_measure: 0.5627, kappa: 0.1297, kb_relative_information_score: 174.0052, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.32, number_of_instances: 303, precision: 0.5765, predictive_accuracy: 0.5809, prior_entropy: 2.3219, recall: 0.5809, relative_absolute_error: 0.5906, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.318, root_relative_squared_error: 0.7949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5343, f_measure: 0.538, kappa: 0.0685, kb_relative_information_score: 143.5894, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.32, number_of_instances: 303, precision: 0.538, predictive_accuracy: 0.538, prior_entropy: 2.3219, recall: 0.538, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4299, root_relative_squared_error: 1.0748, run_cpu_time: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.384, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.32, number_of_instances: 303, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 2.3219, recall: 0.5446, 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: 0.5, f_measure: 0.384, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.32, number_of_instances: 303, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 2.3219, recall: 0.5446, 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: 0.8686, f_measure: 0.7926, kappa: 0.5815, kb_relative_information_score: 226.8921, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.32, number_of_instances: 303, precision: 0.8002, predictive_accuracy: 0.7954, prior_entropy: 2.3219, recall: 0.7954, relative_absolute_error: 0.343, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.6016, run_cpu_time: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5561, f_measure: 0.5603, kappa: 0.1125, kb_relative_information_score: 151.56, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.32, number_of_instances: 303, precision: 0.5598, predictive_accuracy: 0.5611, prior_entropy: 2.3219, recall: 0.5611, relative_absolute_error: 0.5487, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.419, root_relative_squared_error: 1.0475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.384, kb_relative_information_score: 145.8667, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.32, number_of_instances: 303, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 2.3219, recall: 0.5446, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4268, root_relative_squared_error: 1.0671, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.7961, kappa: 0.5885, kb_relative_information_score: 227.0025, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.32, number_of_instances: 303, precision: 0.8031, predictive_accuracy: 0.7987, prior_entropy: 2.3219, recall: 0.7987, relative_absolute_error: 0.3428, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.6011, run_cpu_time: 0.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.8103, kappa: 0.6169, kb_relative_information_score: 236.9923, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.32, number_of_instances: 303, precision: 0.814, predictive_accuracy: 0.8119, prior_entropy: 2.3219, recall: 0.8119, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.6035, run_cpu_time: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8311, kappa: 0.6589, kb_relative_information_score: 241.4348, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.32, number_of_instances: 303, precision: 0.832, predictive_accuracy: 0.8317, prior_entropy: 2.3219, recall: 0.8317, relative_absolute_error: 0.2456, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.6079, run_cpu_time: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.384, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.32, number_of_instances: 303, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 2.3219, ram_hours: 0, recall: 0.5446, 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: 0.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.384, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.32, number_of_instances: 303, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 2.3219, ram_hours: 0, recall: 0.5446, 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: 0.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8241, kappa: 0.6446, kb_relative_information_score: 240.1355, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.32, number_of_instances: 303, precision: 0.8262, predictive_accuracy: 0.8251, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8251, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.6094, run_cpu_time: 0.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.8048, kappa: 0.6058, kb_relative_information_score: 231.9864, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.32, number_of_instances: 303, precision: 0.8051, predictive_accuracy: 0.8053, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8053, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.6095, run_cpu_time: 0.0697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.384, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.32, number_of_instances: 303, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 2.3219, ram_hours: 0, recall: 0.5446, 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: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.384, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.32, number_of_instances: 303, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 2.3219, ram_hours: 0, recall: 0.5446, 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: 0.8267, f_measure: 0.8182, kappa: 0.633, kb_relative_information_score: 206.1248, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.32, number_of_instances: 303, precision: 0.8183, predictive_accuracy: 0.8185, prior_entropy: 2.3219, ram_hours: 0, recall: 0.8185, relative_absolute_error: 0.4598, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.6634, run_cpu_time: 0.03,

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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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