Task
Supervised Data Stream Classification on spambase

Supervised Data Stream Classification on spambase

Task 2211 Supervised Data Stream Classification spambase 25 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7758, f_measure: 0.4573, kb_relative_information_score: 1975, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.5, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 1, ram_hours: 0, recall: 0.606, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.9613, run_cpu_time: 0.1462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.5765, kappa: 0.2972, kb_relative_information_score: 1157.9308, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.5, number_of_instances: 4601, precision: 0.8023, predictive_accuracy: 0.6057, prior_entropy: 1, ram_hours: 0, recall: 0.6057, relative_absolute_error: 0.7345, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.489, root_relative_squared_error: 0.9779, run_cpu_time: 0.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7945, kappa: 0.605, kb_relative_information_score: 2707, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.5, number_of_instances: 4601, precision: 0.8645, predictive_accuracy: 0.7942, prior_entropy: 1, ram_hours: 0, recall: 0.7942, relative_absolute_error: 0.4117, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9074, run_cpu_time: 0.0572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.953, kappa: 0.9028, kb_relative_information_score: 4066.0385, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.5, number_of_instances: 4601, precision: 0.9576, predictive_accuracy: 0.9526, prior_entropy: 1, ram_hours: 0, recall: 0.9526, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.3937, run_cpu_time: 3.7125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9996, kappa: 0.9991, kb_relative_information_score: 4597, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.5, number_of_instances: 4601, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 1, ram_hours: 0, recall: 0.9996, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0208, root_relative_squared_error: 0.0417, run_cpu_time: 0.0595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2242, f_measure: 0.1183, kappa: -0.4704, kb_relative_information_score: -1975, mean_absolute_error: 0.7146, mean_prior_absolute_error: 0.5, number_of_instances: 4601, precision: 0.089, predictive_accuracy: 0.1767, prior_entropy: 1, ram_hours: 0, recall: 0.1767, relative_absolute_error: 1.4293, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8126, root_relative_squared_error: 1.6252, run_cpu_time: 0.0635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.4566, kappa: -0.003, kb_relative_information_score: 960.7704, mean_absolute_error: 0.3956, mean_prior_absolute_error: 0.5, number_of_instances: 4601, precision: 0.3668, predictive_accuracy: 0.6044, prior_entropy: 1, ram_hours: 0, recall: 0.6044, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6288, root_relative_squared_error: 1.2575, run_cpu_time: 0.6236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9618, kappa: 0.9208, kb_relative_information_score: 4166.1861, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.5, number_of_instances: 4601, precision: 0.9649, predictive_accuracy: 0.9615, prior_entropy: 1, ram_hours: 0, recall: 0.9615, relative_absolute_error: 0.0976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3275, run_cpu_time: 61.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.424, f_measure: 0.4536, kappa: -0.0156, kb_relative_information_score: 845.0288, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.5, number_of_instances: 4601, precision: 0.3653, predictive_accuracy: 0.5981, prior_entropy: 1, recall: 0.5981, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.634, root_relative_squared_error: 1.268, run_cpu_time: 1.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9534, kappa: 0.9037, kb_relative_information_score: 4172.4793, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.5, number_of_instances: 4601, precision: 0.9579, predictive_accuracy: 0.9531, prior_entropy: 1, recall: 0.9531, relative_absolute_error: 0.0928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.4278, run_cpu_time: 0.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9996, kappa: 0.9991, kb_relative_information_score: 4597, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.5, number_of_instances: 4601, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 1, recall: 0.9996, relative_absolute_error: 0.0009, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0208, root_relative_squared_error: 0.0417, run_cpu_time: 0.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4573, kb_relative_information_score: 975, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.5, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 1, recall: 0.606, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2555, run_cpu_time: 0.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3158, f_measure: 0.2231, kappa: -0.3806, kb_relative_information_score: -1317, mean_absolute_error: 0.6431, mean_prior_absolute_error: 0.5, number_of_instances: 4601, precision: 0.2483, predictive_accuracy: 0.2482, prior_entropy: 1, recall: 0.2482, relative_absolute_error: 1.2862, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7673, root_relative_squared_error: 1.5346, run_cpu_time: 0.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.9179, kappa: 0.8323, kb_relative_information_score: 3840.6764, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.5, number_of_instances: 4601, precision: 0.9312, predictive_accuracy: 0.917, prior_entropy: 1, recall: 0.917, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.5717, run_cpu_time: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9207, kappa: 0.8378, kb_relative_information_score: 3888.7602, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.5, number_of_instances: 4601, precision: 0.9331, predictive_accuracy: 0.9198, prior_entropy: 1, ram_hours: 0, recall: 0.9198, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.5023, run_cpu_time: 0.9148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9305, kappa: 0.8574, kb_relative_information_score: 3988.3242, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.5, number_of_instances: 4601, precision: 0.9402, predictive_accuracy: 0.9298, prior_entropy: 1, ram_hours: 0, recall: 0.9298, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.4596, run_cpu_time: 0.0626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2242, f_measure: 0.1183, kappa: -0.4704, kb_relative_information_score: -1975, mean_absolute_error: 0.7146, mean_prior_absolute_error: 0.5, number_of_instances: 4601, precision: 0.089, predictive_accuracy: 0.1767, prior_entropy: 1, ram_hours: 0, recall: 0.1767, relative_absolute_error: 1.4293, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8126, root_relative_squared_error: 1.6252, run_cpu_time: 0.0698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.9179, kappa: 0.8323, kb_relative_information_score: 3840.6764, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.5, number_of_instances: 4601, precision: 0.9312, predictive_accuracy: 0.917, prior_entropy: 1, ram_hours: 0, recall: 0.917, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.5717, run_cpu_time: 0.1441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9284, kappa: 0.8531, kb_relative_information_score: 4048.1567, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.5, number_of_instances: 4601, precision: 0.9386, predictive_accuracy: 0.9276, prior_entropy: 1, ram_hours: 0, recall: 0.9276, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4026, run_cpu_time: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2242, f_measure: 0.1183, kappa: -0.4704, kb_relative_information_score: -1975, mean_absolute_error: 0.7146, mean_prior_absolute_error: 0.5, number_of_instances: 4601, precision: 0.089, predictive_accuracy: 0.1767, prior_entropy: 1, ram_hours: 0, recall: 0.1767, relative_absolute_error: 1.4293, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8126, root_relative_squared_error: 1.6252, run_cpu_time: 0.0571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2242, f_measure: 0.1183, kappa: -0.4704, kb_relative_information_score: -1975, mean_absolute_error: 0.7146, mean_prior_absolute_error: 0.5, number_of_instances: 4601, precision: 0.089, predictive_accuracy: 0.1767, prior_entropy: 1, ram_hours: 0, recall: 0.1767, relative_absolute_error: 1.4293, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.8126, root_relative_squared_error: 1.6252, run_cpu_time: 0.0976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8297, kappa: 0.6624, kb_relative_information_score: 3018.7992, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.5, number_of_instances: 4601, precision: 0.8687, predictive_accuracy: 0.8281, prior_entropy: 1, ram_hours: 0, recall: 0.8281, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8272, run_cpu_time: 0.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4573, kb_relative_information_score: 975, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.5, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 1, ram_hours: 0, recall: 0.606, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2555, run_cpu_time: 0.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9941, kappa: 0.9877, kb_relative_information_score: 4548.1762, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.5, number_of_instances: 4601, precision: 0.9942, predictive_accuracy: 0.9941, prior_entropy: 1, ram_hours: 0, recall: 0.9941, relative_absolute_error: 0.0114, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.072, root_relative_squared_error: 0.144, run_cpu_time: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.7852, kappa: 0.5894, kb_relative_information_score: 2956.4806, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.5, number_of_instances: 4601, precision: 0.8607, predictive_accuracy: 0.7853, prior_entropy: 1, ram_hours: 0, recall: 0.7853, relative_absolute_error: 0.343, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7461, run_cpu_time: 0.24,

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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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    evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
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