Task
Supervised Data Stream Classification on BNG(credit-g)

Supervised Data Stream Classification on BNG(credit-g)

Task 2156 Supervised Data Stream Classification BNG(credit-g) 204 runs submitted
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  • binstreams ecmlpkdd2015 streamensembles streams study_11
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.7654, kappa: 0.4239, kb_relative_information_score: 554142, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7666, predictive_accuracy: 0.7771, prior_entropy: 1, recall: 0.7771, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6805, f_measure: 0.7526, kappa: 0.3923, kb_relative_information_score: 530182, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7529, predictive_accuracy: 0.7651, prior_entropy: 1, recall: 0.7651, relative_absolute_error: 0.4698, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6474, f_measure: 0.7271, kappa: 0.3267, kb_relative_information_score: 489514, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.728, predictive_accuracy: 0.7448, prior_entropy: 1, recall: 0.7448, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5052, root_relative_squared_error: 1.0104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6696, f_measure: 0.7335, kappa: 0.3539, kb_relative_information_score: 479442, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7303, predictive_accuracy: 0.7397, prior_entropy: 1, recall: 0.7397, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5102, root_relative_squared_error: 1.0204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.7647, kappa: 0.423, kb_relative_information_score: 551064, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.765, predictive_accuracy: 0.7755, prior_entropy: 1, recall: 0.7755, relative_absolute_error: 0.4489, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.7646, kappa: 0.4227, kb_relative_information_score: 550850, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7649, predictive_accuracy: 0.7754, prior_entropy: 1, recall: 0.7754, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.7643, kappa: 0.4219, kb_relative_information_score: 550270, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7645, predictive_accuracy: 0.7751, prior_entropy: 1, recall: 0.7751, relative_absolute_error: 0.4497, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.7644, kappa: 0.4221, kb_relative_information_score: 550456, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7646, predictive_accuracy: 0.7752, prior_entropy: 1, recall: 0.7752, relative_absolute_error: 0.4495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.7651, kappa: 0.4237, kb_relative_information_score: 552590, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7658, predictive_accuracy: 0.7763, prior_entropy: 1, recall: 0.7763, relative_absolute_error: 0.4474, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.7652, kappa: 0.4239, kb_relative_information_score: 552968, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.766, predictive_accuracy: 0.7765, prior_entropy: 1, recall: 0.7765, relative_absolute_error: 0.447, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.7651, kappa: 0.4236, kb_relative_information_score: 552698, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7658, predictive_accuracy: 0.7763, prior_entropy: 1, recall: 0.7763, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.7654, kappa: 0.4239, kb_relative_information_score: 554152, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7666, predictive_accuracy: 0.7771, prior_entropy: 1, recall: 0.7771, relative_absolute_error: 0.4458, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4721, root_relative_squared_error: 0.9443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6883, f_measure: 0.7583, kappa: 0.4071, kb_relative_information_score: 539042, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7582, predictive_accuracy: 0.7695, prior_entropy: 1, recall: 0.7695, relative_absolute_error: 0.461, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6557, f_measure: 0.7342, kappa: 0.3444, kb_relative_information_score: 501808, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7355, predictive_accuracy: 0.7509, prior_entropy: 1, recall: 0.7509, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.7651, kappa: 0.4228, kb_relative_information_score: 554084, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7665, predictive_accuracy: 0.777, prior_entropy: 1, recall: 0.777, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.7651, kappa: 0.4229, kb_relative_information_score: 554124, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7665, predictive_accuracy: 0.7771, prior_entropy: 1, recall: 0.7771, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.7595, kappa: 0.4156, kb_relative_information_score: 532362, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7572, predictive_accuracy: 0.7662, prior_entropy: 1, recall: 0.7662, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4835, root_relative_squared_error: 0.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.7595, kappa: 0.4155, kb_relative_information_score: 532342, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7572, predictive_accuracy: 0.7662, prior_entropy: 1, recall: 0.7662, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4836, root_relative_squared_error: 0.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.7651, kappa: 0.4234, kb_relative_information_score: 552770, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7658, predictive_accuracy: 0.7764, prior_entropy: 1, recall: 0.7764, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.7595, kappa: 0.4155, kb_relative_information_score: 532348, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7572, predictive_accuracy: 0.7662, prior_entropy: 1, recall: 0.7662, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4836, root_relative_squared_error: 0.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7076, f_measure: 0.7729, kappa: 0.4446, kb_relative_information_score: 564060, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7727, predictive_accuracy: 0.782, prior_entropy: 1, recall: 0.782, relative_absolute_error: 0.4359, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.7595, kappa: 0.4155, kb_relative_information_score: 532368, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7572, predictive_accuracy: 0.7662, prior_entropy: 1, recall: 0.7662, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4835, root_relative_squared_error: 0.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.7595, kappa: 0.4155, kb_relative_information_score: 532368, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7572, predictive_accuracy: 0.7662, prior_entropy: 1, recall: 0.7662, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4835, root_relative_squared_error: 0.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.7595, kappa: 0.4155, kb_relative_information_score: 532368, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7572, predictive_accuracy: 0.7662, prior_entropy: 1, recall: 0.7662, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4835, root_relative_squared_error: 0.9671,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.7595, kappa: 0.4155, kb_relative_information_score: 532368, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7572, predictive_accuracy: 0.7662, prior_entropy: 1, recall: 0.7662, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4835, root_relative_squared_error: 0.9671,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.7583, kappa: 0.4121, kb_relative_information_score: 530678, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.756, predictive_accuracy: 0.7653, prior_entropy: 1, recall: 0.7653, relative_absolute_error: 0.4693, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.9688,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.7646, kappa: 0.4223, kb_relative_information_score: 551690, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7652, predictive_accuracy: 0.7758, prior_entropy: 1, recall: 0.7758, relative_absolute_error: 0.4483, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.7647, kappa: 0.4226, kb_relative_information_score: 551688, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7653, predictive_accuracy: 0.7758, prior_entropy: 1, recall: 0.7758, relative_absolute_error: 0.4483, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9469,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.7651, kappa: 0.4229, kb_relative_information_score: 554138, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7665, predictive_accuracy: 0.7771, prior_entropy: 1, recall: 0.7771, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7651, kappa: 0.4229, kb_relative_information_score: 432739.9865, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7665, predictive_accuracy: 0.7771, prior_entropy: 1, recall: 0.7771, relative_absolute_error: 0.5956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5818, f_measure: 0.6782, kappa: 0.2094, kb_relative_information_score: 480984, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7528, predictive_accuracy: 0.7405, prior_entropy: 1, recall: 0.7405, relative_absolute_error: 0.519, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5094, root_relative_squared_error: 1.0188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5762, kb_relative_information_score: 399548, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.4897, predictive_accuracy: 0.6998, prior_entropy: 1, recall: 0.6998, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5479, root_relative_squared_error: 1.0959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.7101, kappa: 0.2809, kb_relative_information_score: 429263.0761, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7449, predictive_accuracy: 0.751, prior_entropy: 1, recall: 0.751, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.5968, kappa: 0.0004, kb_relative_information_score: 312238, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.5801, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5864, root_relative_squared_error: 1.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.697, kappa: 0.2516, kb_relative_information_score: 495082.6355, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7543, predictive_accuracy: 0.7486, prior_entropy: 1, recall: 0.7486, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9371,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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.

Given inputs

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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