Task
Supervised Data Stream Classification on splice

Supervised Data Stream Classification on splice

Task 2213 Supervised Data Stream Classification splice 25 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3947, f_measure: 0.2548, kappa: 0.2033, kb_relative_information_score: -299.7627, mean_absolute_error: 0.5254, mean_prior_absolute_error: 0.4444, number_of_instances: 3190, precision: 0.1928, predictive_accuracy: 0.395, prior_entropy: 1.585, ram_hours: 0, recall: 0.395, relative_absolute_error: 1.1821, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.595, root_relative_squared_error: 1.2622, run_cpu_time: 2.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.8045, kappa: 0.6916, kb_relative_information_score: 2311.6614, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.4444, number_of_instances: 3190, precision: 0.8437, predictive_accuracy: 0.7984, prior_entropy: 1.585, ram_hours: 0, recall: 0.7984, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.296, root_relative_squared_error: 0.6279, run_cpu_time: 4.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8594, kappa: 0.7755, kb_relative_information_score: 2481.6901, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.4444, number_of_instances: 3190, precision: 0.8823, predictive_accuracy: 0.8555, prior_entropy: 1.585, ram_hours: 0, recall: 0.8555, relative_absolute_error: 0.2585, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5278, run_cpu_time: 62.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9779, kappa: 0.9641, kb_relative_information_score: 3062.7811, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.4444, number_of_instances: 3190, precision: 0.9785, predictive_accuracy: 0.9777, prior_entropy: 1.585, ram_hours: 0, recall: 0.9777, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.2241, run_cpu_time: 2.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2207, f_measure: 0.0932, kb_relative_information_score: -679.5713, mean_absolute_error: 0.571, mean_prior_absolute_error: 0.4444, number_of_instances: 3190, precision: 0.0578, predictive_accuracy: 0.2404, prior_entropy: 1.585, recall: 0.2404, relative_absolute_error: 1.2848, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6479, root_relative_squared_error: 1.3744, run_cpu_time: 0.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9503, kappa: 0.92, kb_relative_information_score: 2954.7524, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4444, number_of_instances: 3190, precision: 0.9545, predictive_accuracy: 0.9498, prior_entropy: 1.585, recall: 0.9498, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3415, run_cpu_time: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0932, kb_relative_information_score: -127.2572, mean_absolute_error: 0.5064, mean_prior_absolute_error: 0.4444, number_of_instances: 3190, precision: 0.0578, predictive_accuracy: 0.2404, prior_entropy: 1.585, recall: 0.2404, relative_absolute_error: 1.1393, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7116, root_relative_squared_error: 1.5095, run_cpu_time: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.5543, kappa: 0.3729, kb_relative_information_score: 1173.6814, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4444, number_of_instances: 3190, precision: 0.7304, predictive_accuracy: 0.5602, prior_entropy: 1.585, recall: 0.5602, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.9093, run_cpu_time: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0932, kb_relative_information_score: -127.2572, mean_absolute_error: 0.5064, mean_prior_absolute_error: 0.4444, number_of_instances: 3190, precision: 0.0578, predictive_accuracy: 0.2404, prior_entropy: 1.585, recall: 0.2404, relative_absolute_error: 1.1393, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7116, root_relative_squared_error: 1.5095, run_cpu_time: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.3179, kappa: 0.3065, kb_relative_information_score: 925.6867, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4444, number_of_instances: 3190, precision: 0.2447, predictive_accuracy: 0.4734, prior_entropy: 1.585, ram_hours: 0.0033, recall: 0.4734, relative_absolute_error: 0.7719, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0646, run_cpu_time: 52.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.999, kb_relative_information_score: 3187.2619, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.4444, number_of_instances: 3190, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 1.585, recall: 0.9994, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0204, root_relative_squared_error: 0.0434, run_cpu_time: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9672, kappa: 0.9467, kb_relative_information_score: 3032.8237, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.4444, number_of_instances: 3190, precision: 0.9696, predictive_accuracy: 0.9668, prior_entropy: 1.585, recall: 0.9668, relative_absolute_error: 0.0561, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.2874, run_cpu_time: 0.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5118, f_measure: 0.3019, kappa: 0.2319, kb_relative_information_score: -6.8019, mean_absolute_error: 0.4737, mean_prior_absolute_error: 0.4444, number_of_instances: 3190, precision: 0.7121, predictive_accuracy: 0.421, prior_entropy: 1.585, recall: 0.421, relative_absolute_error: 1.0658, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6147, root_relative_squared_error: 1.304, run_cpu_time: 0.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9672, kappa: 0.9467, kb_relative_information_score: 3032.8237, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.4444, number_of_instances: 3190, precision: 0.9696, predictive_accuracy: 0.9668, prior_entropy: 1.585, recall: 0.9668, relative_absolute_error: 0.0561, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.2874, run_cpu_time: 0.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.522, kappa: 0.2937, kb_relative_information_score: 861.6709, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4444, number_of_instances: 3190, precision: 0.639, predictive_accuracy: 0.5182, prior_entropy: 1.585, ram_hours: 0, recall: 0.5182, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9608, run_cpu_time: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.3561, kappa: 0.3163, kb_relative_information_score: 922.8197, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4444, number_of_instances: 3190, precision: 0.3164, predictive_accuracy: 0.4809, prior_entropy: 1.585, ram_hours: 0, recall: 0.4809, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5883, root_relative_squared_error: 1.2479, run_cpu_time: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2207, f_measure: 0.0932, kb_relative_information_score: -808.2638, mean_absolute_error: 0.597, mean_prior_absolute_error: 0.4444, number_of_instances: 3190, precision: 0.0578, predictive_accuracy: 0.2404, prior_entropy: 1.585, ram_hours: 0, recall: 0.2404, relative_absolute_error: 1.3433, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7262, root_relative_squared_error: 1.5405, run_cpu_time: 0.1413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.3561, kappa: 0.3163, kb_relative_information_score: 922.8197, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4444, number_of_instances: 3190, precision: 0.3164, predictive_accuracy: 0.4809, prior_entropy: 1.585, ram_hours: 0, recall: 0.4809, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5883, root_relative_squared_error: 1.2479, run_cpu_time: 0.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.8508, kappa: 0.7751, kb_relative_information_score: 2323.457, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.4444, number_of_instances: 3190, precision: 0.8867, predictive_accuracy: 0.8527, prior_entropy: 1.585, ram_hours: 0.0018, recall: 0.8527, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.5295, run_cpu_time: 47.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7091, f_measure: 0.439, kappa: 0.3601, kb_relative_information_score: 1109.6225, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4444, number_of_instances: 3190, precision: 0.8183, predictive_accuracy: 0.5229, prior_entropy: 1.585, ram_hours: 0, recall: 0.5229, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5588, root_relative_squared_error: 1.1855, run_cpu_time: 8.9192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.522, kappa: 0.2937, kb_relative_information_score: 861.6709, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4444, number_of_instances: 3190, precision: 0.639, predictive_accuracy: 0.5182, prior_entropy: 1.585, ram_hours: 0, recall: 0.5182, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9608, run_cpu_time: 0.0926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4216, f_measure: 0.2742, kappa: 0.1958, kb_relative_information_score: -161.6178, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4444, number_of_instances: 3190, precision: 0.217, predictive_accuracy: 0.3893, prior_entropy: 1.585, ram_hours: 0, recall: 0.3893, relative_absolute_error: 1.1233, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6418, root_relative_squared_error: 1.3615, run_cpu_time: 0.0887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9486, kappa: 0.9166, kb_relative_information_score: 2970.3055, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4444, number_of_instances: 3190, precision: 0.9542, predictive_accuracy: 0.9476, prior_entropy: 1.585, ram_hours: 0, recall: 0.9476, relative_absolute_error: 0.0742, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3501, run_cpu_time: 0.2269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.651, kappa: 0.5211, kb_relative_information_score: 1965.8548, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.4444, number_of_instances: 3190, precision: 0.8522, predictive_accuracy: 0.6611, prior_entropy: 1.585, ram_hours: 0.0015, recall: 0.6611, relative_absolute_error: 0.4197, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6935, run_cpu_time: 40.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2207, f_measure: 0.0932, kb_relative_information_score: -808.2638, mean_absolute_error: 0.597, mean_prior_absolute_error: 0.4444, number_of_instances: 3190, precision: 0.0578, predictive_accuracy: 0.2404, prior_entropy: 1.585, ram_hours: 0, recall: 0.2404, relative_absolute_error: 1.3433, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7262, root_relative_squared_error: 1.5405, run_cpu_time: 0.1,

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    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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