Task
Supervised Data Stream Classification on BNG(anneal,nominal,1000000)

Supervised Data Stream Classification on BNG(anneal,nominal,1000000)

Task 120 Supervised Data Stream Classification BNG(anneal,nominal,1000000) 122 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9014, kappa: 0.7545, kb_relative_information_score: 860766.6441, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9145, predictive_accuracy: 0.8941, prior_entropy: 2.585, recall: 0.8941, relative_absolute_error: 0.1959, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.4288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9218, kappa: 0.8131, kb_relative_information_score: 803561.2256, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.927, predictive_accuracy: 0.9282, prior_entropy: 2.585, recall: 0.9282, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.4551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9414, kappa: 0.857, kb_relative_information_score: 929061.2093, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9406, predictive_accuracy: 0.9432, prior_entropy: 2.585, recall: 0.9432, relative_absolute_error: 0.0939, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.9414, kappa: 0.857, kb_relative_information_score: 937435.7066, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9406, predictive_accuracy: 0.9432, prior_entropy: 2.585, recall: 0.9432, relative_absolute_error: 0.0681, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.3692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.9414, kappa: 0.857, kb_relative_information_score: 937433.5031, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9406, predictive_accuracy: 0.9432, prior_entropy: 2.585, recall: 0.9432, relative_absolute_error: 0.0681, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.3692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.9413, kappa: 0.8569, kb_relative_information_score: 937415.875, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9405, predictive_accuracy: 0.9432, prior_entropy: 2.585, recall: 0.9432, relative_absolute_error: 0.0682, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.3692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.9415, kappa: 0.8572, kb_relative_information_score: 937706.7385, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9407, predictive_accuracy: 0.9435, prior_entropy: 2.585, recall: 0.9435, relative_absolute_error: 0.0678, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.3684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.9433, kappa: 0.8614, kb_relative_information_score: 939311.9964, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9426, predictive_accuracy: 0.9449, prior_entropy: 2.585, recall: 0.9449, relative_absolute_error: 0.0661, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.3636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8567, kappa: 0.6379, kb_relative_information_score: 864419.1687, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8788, predictive_accuracy: 0.8802, prior_entropy: 2.585, recall: 0.8802, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.4537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8956, kappa: 0.7418, kb_relative_information_score: 897880.7553, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8971, predictive_accuracy: 0.9048, prior_entropy: 2.585, recall: 0.9048, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.165, root_relative_squared_error: 0.4428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.022, kb_relative_information_score: 20056.7042, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0122, predictive_accuracy: 0.1106, prior_entropy: 2.585, recall: 0.1106, relative_absolute_error: 1.0673, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5445, root_relative_squared_error: 1.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4891, f_measure: 0.0221, kappa: 0, kb_relative_information_score: 18396.3046, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0143, predictive_accuracy: 0.1105, prior_entropy: 2.585, recall: 0.1105, relative_absolute_error: 1.0709, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5393, root_relative_squared_error: 1.4471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.022, kb_relative_information_score: 20056.7042, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0122, predictive_accuracy: 0.1106, prior_entropy: 2.585, recall: 0.1106, relative_absolute_error: 1.0673, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5445, root_relative_squared_error: 1.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0221, kappa: 0, kb_relative_information_score: 20073.2423, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.0149, predictive_accuracy: 0.1106, prior_entropy: 2.585, recall: 0.1106, relative_absolute_error: 1.0673, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.5445, root_relative_squared_error: 1.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.6557, kappa: -0, kb_relative_information_score: 630153.1546, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.5769, predictive_accuracy: 0.7595, prior_entropy: 2.585, recall: 0.7595, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.6956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.5965, kappa: -0.0008, kb_relative_information_score: 555430.5985, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.5965, predictive_accuracy: 0.5965, prior_entropy: 2.585, recall: 0.5965, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.9841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9414, kappa: 0.857, kb_relative_information_score: 929062.1959, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9406, predictive_accuracy: 0.9432, prior_entropy: 2.585, recall: 0.9432, relative_absolute_error: 0.0939, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.9433, kappa: 0.8614, kb_relative_information_score: 939309.7929, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9426, predictive_accuracy: 0.9449, prior_entropy: 2.585, recall: 0.9449, relative_absolute_error: 0.0661, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.3636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.9414, kappa: 0.857, kb_relative_information_score: 937432.4013, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9406, predictive_accuracy: 0.9432, prior_entropy: 2.585, recall: 0.9432, relative_absolute_error: 0.0681, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.3692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.9418, kappa: 0.8578, kb_relative_information_score: 937701.2297, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.941, predictive_accuracy: 0.9435, prior_entropy: 2.585, recall: 0.9435, relative_absolute_error: 0.0679, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.3684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.8588, kappa: 0.6486, kb_relative_information_score: 841427.7342, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.8554, predictive_accuracy: 0.8687, prior_entropy: 2.585, recall: 0.8687, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.4718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9414, kappa: 0.857, kb_relative_information_score: 929062.1959, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.2778, number_of_instances: 1000000, precision: 0.9406, predictive_accuracy: 0.9432, prior_entropy: 2.585, recall: 0.9432, relative_absolute_error: 0.0939, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.328,

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Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

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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Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
predictions The desired output format Predictions (optional)

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