OpenML
Supervised Data Stream Classification on BNG(zoo)

Supervised Data Stream Classification on BNG(zoo)

Task 2168 Supervised Data Stream Classification BNG(zoo) 290 runs submitted
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  • ecmlpkdd2015 streamensembles streams study_11 study_16
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9271, kappa: 0.9044, kb_relative_information_score: 915162.8018, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9278, predictive_accuracy: 0.9268, prior_entropy: 2.8074, recall: 0.9268, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.3583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9158, kappa: 0.8894, kb_relative_information_score: 857336.0394, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9168, predictive_accuracy: 0.9152, prior_entropy: 2.8074, recall: 0.9152, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.4032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9042, kappa: 0.8747, kb_relative_information_score: 874084.3542, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9051, predictive_accuracy: 0.9039, prior_entropy: 2.8074, recall: 0.9039, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.4081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9005, kappa: 0.8701, kb_relative_information_score: 867379.6839, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9013, predictive_accuracy: 0.9004, prior_entropy: 2.8074, recall: 0.9004, relative_absolute_error: 0.1848, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.4178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.9284, kappa: 0.9054, kb_relative_information_score: 921690.8788, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9298, predictive_accuracy: 0.9274, prior_entropy: 2.8074, recall: 0.9274, relative_absolute_error: 0.0847, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.144, root_relative_squared_error: 0.4115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.93, kappa: 0.9067, kb_relative_information_score: 922649.2241, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9327, predictive_accuracy: 0.9283, prior_entropy: 2.8074, recall: 0.9283, relative_absolute_error: 0.0836, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.927, kappa: 0.9038, kb_relative_information_score: 920374.2331, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9281, predictive_accuracy: 0.9262, prior_entropy: 2.8074, recall: 0.9262, relative_absolute_error: 0.0861, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.4149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9258, kappa: 0.9032, kb_relative_information_score: 919984.6354, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9261, predictive_accuracy: 0.9259, prior_entropy: 2.8074, recall: 0.9259, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.4159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9277, kappa: 0.9049, kb_relative_information_score: 921317.4694, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9287, predictive_accuracy: 0.9271, prior_entropy: 2.8074, recall: 0.9271, relative_absolute_error: 0.0851, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.4125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9277, kappa: 0.9049, kb_relative_information_score: 921273.2215, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9286, predictive_accuracy: 0.9271, prior_entropy: 2.8074, recall: 0.9271, relative_absolute_error: 0.0851, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.4126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9277, kappa: 0.905, kb_relative_information_score: 921348.7667, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9287, predictive_accuracy: 0.9271, prior_entropy: 2.8074, recall: 0.9271, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9254, kappa: 0.9028, kb_relative_information_score: 919644.6818, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9255, predictive_accuracy: 0.9255, prior_entropy: 2.8074, recall: 0.9255, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.4168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9253, kappa: 0.9027, kb_relative_information_score: 919548.6315, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9254, predictive_accuracy: 0.9255, prior_entropy: 2.8074, recall: 0.9255, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.4171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9253, kappa: 0.9027, kb_relative_information_score: 919581.008, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9254, predictive_accuracy: 0.9255, prior_entropy: 2.8074, recall: 0.9255, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9258, kappa: 0.9022, kb_relative_information_score: 910628.5668, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9271, predictive_accuracy: 0.925, prior_entropy: 2.8074, recall: 0.925, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.3578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.9241, kappa: 0.9015, kb_relative_information_score: 918682.0196, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9239, predictive_accuracy: 0.9247, prior_entropy: 2.8074, recall: 0.9247, relative_absolute_error: 0.0879, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.4193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.9284, kappa: 0.9054, kb_relative_information_score: 921690.8788, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9298, predictive_accuracy: 0.9274, prior_entropy: 2.8074, recall: 0.9274, relative_absolute_error: 0.0847, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.144, root_relative_squared_error: 0.4115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9256, kappa: 0.902, kb_relative_information_score: 910615.397, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.927, predictive_accuracy: 0.9249, prior_entropy: 2.8074, recall: 0.9249, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.3579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.8884, kappa: 0.8549, kb_relative_information_score: 852897.3536, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8888, predictive_accuracy: 0.8888, prior_entropy: 2.8074, recall: 0.8888, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.4447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9278, kappa: 0.9049, kb_relative_information_score: 921289.4097, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9289, predictive_accuracy: 0.9271, prior_entropy: 2.8074, recall: 0.9271, relative_absolute_error: 0.0851, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.4125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9255, kappa: 0.9019, kb_relative_information_score: 910536.8751, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9268, predictive_accuracy: 0.9247, prior_entropy: 2.8074, recall: 0.9247, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.3584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9277, kappa: 0.9049, kb_relative_information_score: 921318.5486, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9287, predictive_accuracy: 0.9271, prior_entropy: 2.8074, recall: 0.9271, relative_absolute_error: 0.0851, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.8958, kappa: 0.8642, kb_relative_information_score: 859979.1837, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8964, predictive_accuracy: 0.8959, prior_entropy: 2.8074, recall: 0.8959, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9254, kappa: 0.9028, kb_relative_information_score: 919644.6818, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9255, predictive_accuracy: 0.9255, prior_entropy: 2.8074, recall: 0.9255, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.4168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9254, kappa: 0.903, kb_relative_information_score: 919815.1983, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9254, predictive_accuracy: 0.9257, prior_entropy: 2.8074, recall: 0.9257, relative_absolute_error: 0.0867, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.4164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9305, kappa: 0.9105, kb_relative_information_score: 842565.9399, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9304, predictive_accuracy: 0.9316, prior_entropy: 2.8074, recall: 0.9316, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.4063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9307, kappa: 0.9107, kb_relative_information_score: 842363.1711, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9306, predictive_accuracy: 0.9318, prior_entropy: 2.8074, recall: 0.9318, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.4061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9294, kappa: 0.9079, kb_relative_information_score: 917298.6823, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9296, predictive_accuracy: 0.9295, prior_entropy: 2.8074, recall: 0.9295, relative_absolute_error: 0.1115, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.123, root_relative_squared_error: 0.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9277, kappa: 0.9049, kb_relative_information_score: 916228.7355, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9287, predictive_accuracy: 0.9271, prior_entropy: 2.8074, recall: 0.9271, relative_absolute_error: 0.1121, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.3542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9253, kappa: 0.9017, kb_relative_information_score: 910458.8197, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9267, predictive_accuracy: 0.9246, prior_entropy: 2.8074, recall: 0.9246, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9253, kappa: 0.9017, kb_relative_information_score: 910458.8197, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9267, predictive_accuracy: 0.9246, prior_entropy: 2.8074, recall: 0.9246, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9307, kappa: 0.9108, kb_relative_information_score: 841824.5404, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9307, predictive_accuracy: 0.9319, prior_entropy: 2.8074, recall: 0.9319, relative_absolute_error: 0.2474, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.4062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9253, kappa: 0.9017, kb_relative_information_score: 910458.8197, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9267, predictive_accuracy: 0.9246, prior_entropy: 2.8074, recall: 0.9246, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9253, kappa: 0.9017, kb_relative_information_score: 910458.8197, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9267, predictive_accuracy: 0.9246, prior_entropy: 2.8074, recall: 0.9246, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9307, kappa: 0.9107, kb_relative_information_score: 842188.92, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9307, predictive_accuracy: 0.9318, prior_entropy: 2.8074, recall: 0.9318, relative_absolute_error: 0.2466, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.4061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9255, kappa: 0.9019, kb_relative_information_score: 910536.8751, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9268, predictive_accuracy: 0.9247, prior_entropy: 2.8074, recall: 0.9247, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.3584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9253, kappa: 0.9017, kb_relative_information_score: 910458.8197, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9267, predictive_accuracy: 0.9246, prior_entropy: 2.8074, recall: 0.9246, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9256, kappa: 0.902, kb_relative_information_score: 910615.397, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.927, predictive_accuracy: 0.9249, prior_entropy: 2.8074, recall: 0.9249, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.3579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9248, kappa: 0.901, kb_relative_information_score: 910217.8997, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9263, predictive_accuracy: 0.9241, prior_entropy: 2.8074, recall: 0.9241, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.3607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9221, kappa: 0.903, kb_relative_information_score: 911616.6862, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9234, predictive_accuracy: 0.9262, prior_entropy: 2.8074, recall: 0.9262, relative_absolute_error: 0.1211, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.3536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9301, kappa: 0.9068, kb_relative_information_score: 918053.8325, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9327, predictive_accuracy: 0.9284, prior_entropy: 2.8074, recall: 0.9284, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.3509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.5229, kappa: 0.4173, kb_relative_information_score: 502195.5031, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5367, predictive_accuracy: 0.5957, prior_entropy: 2.8074, recall: 0.5957, relative_absolute_error: 0.5765, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.7698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2252, kb_relative_information_score: 348696.3873, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.1572, predictive_accuracy: 0.3965, prior_entropy: 2.8074, recall: 0.3965, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4152, root_relative_squared_error: 1.1867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2252, kb_relative_information_score: 348696.3873, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.1572, predictive_accuracy: 0.3965, prior_entropy: 2.8074, recall: 0.3965, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4152, root_relative_squared_error: 1.1867,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9218, kappa: 0.8969, kb_relative_information_score: 910298.905, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9233, predictive_accuracy: 0.9209, prior_entropy: 2.8074, ram_hours: 0, recall: 0.9209, relative_absolute_error: 0.1178, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.371, run_cpu_time: 35.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2252, kb_relative_information_score: 348696.3873, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.1572, predictive_accuracy: 0.3965, prior_entropy: 2.8074, ram_hours: 0, recall: 0.3965, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4152, root_relative_squared_error: 1.1867, run_cpu_time: 9.9051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8855, kappa: 0.8511, kb_relative_information_score: 850261.7931, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8858, predictive_accuracy: 0.8859, prior_entropy: 2.8074, ram_hours: 0.001, recall: 0.8859, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.4526, run_cpu_time: 351.1423,

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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