Task
Supervised Data Stream Classification on waveform-5000

Supervised Data Stream Classification on waveform-5000

Task 2226 Supervised Data Stream Classification waveform-5000 25 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.1711, kb_relative_information_score: 361.0113, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.1145, predictive_accuracy: 0.3384, prior_entropy: 1.585, recall: 0.3384, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6315, root_relative_squared_error: 1.3397, run_cpu_time: 0.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.7936, kappa: 0.69, kb_relative_information_score: 3008.5219, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7941, predictive_accuracy: 0.7934, prior_entropy: 1.585, recall: 0.7934, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6645, run_cpu_time: 3.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.332, kappa: -0.0021, kb_relative_information_score: 427.3054, mean_absolute_error: 0.4453, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.332, predictive_accuracy: 0.332, prior_entropy: 1.585, recall: 0.332, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6673, root_relative_squared_error: 1.4156, run_cpu_time: 0.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6355, f_measure: 0.4893, kappa: 0.2301, kb_relative_information_score: 1379.5995, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.5, predictive_accuracy: 0.4872, prior_entropy: 1.585, recall: 0.4872, relative_absolute_error: 0.7742, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5474, root_relative_squared_error: 1.1612, run_cpu_time: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8059, kappa: 0.7171, kb_relative_information_score: 3049.4933, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8246, predictive_accuracy: 0.8112, prior_entropy: 1.585, recall: 0.8112, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.6328, run_cpu_time: 2.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.7123, kappa: 0.5676, kb_relative_information_score: 2911.6429, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7132, predictive_accuracy: 0.7118, prior_entropy: 1.585, recall: 0.7118, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7765, run_cpu_time: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.6562, kappa: 0.481, kb_relative_information_score: 2498.6575, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.6847, predictive_accuracy: 0.6546, prior_entropy: 1.585, recall: 0.6546, relative_absolute_error: 0.5319, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.9029, run_cpu_time: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5726, f_measure: 0.3458, kappa: 0.1446, kb_relative_information_score: 1095.4117, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.3054, predictive_accuracy: 0.4296, prior_entropy: 1.585, recall: 0.4296, relative_absolute_error: 0.8556, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6167, root_relative_squared_error: 1.3081, run_cpu_time: 0.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.789, kappa: 0.7017, kb_relative_information_score: 3619.4625, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8323, predictive_accuracy: 0.8008, prior_entropy: 1.585, recall: 0.8008, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.7156, run_cpu_time: 0.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.789, kappa: 0.7017, kb_relative_information_score: 3619.4625, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8323, predictive_accuracy: 0.8008, prior_entropy: 1.585, recall: 0.8008, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.7156, run_cpu_time: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4905, f_measure: 0.2262, kappa: -0.0059, kb_relative_information_score: 30.7174, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.3175, predictive_accuracy: 0.3336, prior_entropy: 1.585, ram_hours: 0, recall: 0.3336, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.472, root_relative_squared_error: 1.0012, run_cpu_time: 0.0653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1711, kb_relative_information_score: 471.1156, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.1145, predictive_accuracy: 0.3384, prior_entropy: 1.585, recall: 0.3384, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6641, root_relative_squared_error: 1.4088, run_cpu_time: 0.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.7874, kappa: 0.699, kb_relative_information_score: 3607.3493, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8301, predictive_accuracy: 0.799, prior_entropy: 1.585, recall: 0.799, relative_absolute_error: 0.3096, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.7105, run_cpu_time: 1.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1711, kb_relative_information_score: 471.1156, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.1145, predictive_accuracy: 0.3384, prior_entropy: 1.585, ram_hours: 0, recall: 0.3384, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6641, root_relative_squared_error: 1.4088, run_cpu_time: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.814, kappa: 0.7239, kb_relative_information_score: 3500.5276, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8198, predictive_accuracy: 0.8158, prior_entropy: 1.585, ram_hours: 0, recall: 0.8158, relative_absolute_error: 0.3503, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.305, root_relative_squared_error: 0.647, run_cpu_time: 2.7241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.8018, kappa: 0.708, kb_relative_information_score: 2909.2359, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8102, predictive_accuracy: 0.8052, prior_entropy: 1.585, ram_hours: 0, recall: 0.8052, relative_absolute_error: 0.5109, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.6552, run_cpu_time: 2.0561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7451, f_measure: 0.5357, kappa: 0.371, kb_relative_information_score: 1811.6457, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.5321, predictive_accuracy: 0.5798, prior_entropy: 1.585, ram_hours: 0, recall: 0.5798, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8996, run_cpu_time: 0.0897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.7845, kappa: 0.6951, kb_relative_information_score: 3606.4799, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8275, predictive_accuracy: 0.7964, prior_entropy: 1.585, ram_hours: 0, recall: 0.7964, relative_absolute_error: 0.3085, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.7177, run_cpu_time: 0.2479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.789, kappa: 0.7017, kb_relative_information_score: 3619.4625, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8323, predictive_accuracy: 0.8008, prior_entropy: 1.585, ram_hours: 0, recall: 0.8008, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.7156, run_cpu_time: 0.1453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.7935, kappa: 0.6901, kb_relative_information_score: 3007.1376, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7937, predictive_accuracy: 0.7934, prior_entropy: 1.585, ram_hours: 0, recall: 0.7934, relative_absolute_error: 0.4851, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6645, run_cpu_time: 80.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.7874, kappa: 0.699, kb_relative_information_score: 3607.3493, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8301, predictive_accuracy: 0.799, prior_entropy: 1.585, ram_hours: 0, recall: 0.799, relative_absolute_error: 0.3096, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.7105, run_cpu_time: 1.7048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.7493, kappa: 0.62, kb_relative_information_score: 2134.5913, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7712, predictive_accuracy: 0.747, prior_entropy: 1.585, ram_hours: 0, recall: 0.747, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7682, run_cpu_time: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.6677, kappa: 0.4983, kb_relative_information_score: 2338.6907, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.6911, predictive_accuracy: 0.666, prior_entropy: 1.585, ram_hours: 0, recall: 0.666, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.8105, run_cpu_time: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5543, f_measure: 0.3019, kappa: 0.108, kb_relative_information_score: 917.4325, mean_absolute_error: 0.3976, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.3903, predictive_accuracy: 0.4036, prior_entropy: 1.585, ram_hours: 0, recall: 0.4036, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6306, root_relative_squared_error: 1.3376, run_cpu_time: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4905, f_measure: 0.2262, kappa: -0.0059, kb_relative_information_score: 30.7174, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.3175, predictive_accuracy: 0.3336, prior_entropy: 1.585, ram_hours: 0, recall: 0.3336, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.472, root_relative_squared_error: 1.0012, run_cpu_time: 0.82,

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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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